JP2006260012A - Physical distribution management method, physical distribution management method and recording medium for recording physical distribution management program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a physical distribution management system, a physical distribution management method and a physical distribution management program for executing the optimal control of the quantity and quality of recalled articles to be delivered from a recall base point to a reproduction processing base point at shipping/warehousing. <P>SOLUTION: The operating status of a product is monitored or predicted by recording the use place of the product circulated in the market, and the distribution of use stop probability for at least the use time or usage of the product is generated. The set of a use stop prediction time and the operating quantity and the operation place is associated with the product circulated in the market, and the recalled quantity distribution of a use stop product to the operating quantity and time for every recall base point of the product is predicted and generated from the relevant information of the product circulated in the market, and reference operating quantity for selecting a non-defective article for satisfying the number of requests in every unit period of a reproduction processing factory R and a period when the non-defective article is selected and stored in a recall base point/warehouse Wm, and shipped to the reproduction processing factory R are calculated for every recall base point/warehouse Wm from the recalled quantity distribution. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a distribution management system, a distribution management method, and a recording medium on which a distribution management program is recorded, for example, a distribution in which the distribution units of a collected used product and a re-marketed product after regeneration processing are matched. The present invention relates to a management system, a distribution management method, and a recording medium recording a distribution management program.

  In recent years, the importance of environmental problems has been socially recognized, and accordingly, the movement of recycling and reusing for collecting, recycling and reusing used products generated in the market has become active. However, there are characteristics that cannot be seen in general production activities in recycling and reuse.

  Specifically, the resources that are put into regeneration activities, that is, the collected used products are not stable in both quantity and quality, and it is difficult to predict their fluctuations. In normal production activities, the capacity of upstream processes related to procurement, for example, procurement lead time and procurable quantity are mostly known.

  Formulation of a production plan is nothing but to express the transition of sales plans and demand forecasts with constant capacity values related to procurement and production, and input resource amount / time as variables.

  In other words, the optimization of the production plan is to optimize the amount of input resources and the point in time with a constant capacity value related to procurement and production as a constraint. In reuse / recycling, the procurement capacity, which is a constant and a constraint, fluctuates irregularly. This creates a difference between the planned production volume and the actual production volume, and becomes a big risk that excess inventory and shortage occur with respect to demand.

  In order to eliminate such problems, in the recycling production process, we collect products used in the market, combine the recovered parts obtained by disassembling the collected products and newly procured parts, and commercialize them again. An inventory management support device that supports parts inventory management, and determines the suitability status of inventory quantity based on the quantity of newly procured parts and recovered parts and the quantity of parts required for production planning when judging the suitability of inventory quantity. There is a method of determining and preventing unnecessary procurement of newly procured parts and reducing the cost of the parts (for example, see Patent Document 1).

JP 2003-308382 A

  However, with such a conventional inventory management support device, it is very difficult to reassemble a product by combining parts that constitute a product collected from the market and parts that are newly procured, such as recycling production. Although effective, there is a problem in the case of a form in which the collected product itself is regenerated and put back on the market, that is, a reuse form.

  This is because, since “it is a product that has been used once” is the existence value of a reused product, filling a shortage with a newly manufactured product denies the existence value itself. .

  In other words, in the reuse mode, there is no means to procure resources that are the core of the product other than collecting used products from the market. Detecting risks doesn't have a reliable way to cover new products like procurement, and prediction alone doesn't basically make sense. In the form of reuse, in addition to predicting the quality and quantity of collected items, it is necessary to control them in some way.

  The present invention has been made to solve such problems, and a logistics management system capable of optimal control of the quantity and quality of collected items received from the collection base to the recycling processing base, and the point of entry and exit, The present invention provides a recording medium recording a distribution management method and a distribution management program.

  The logistics management system of the present invention collects products that have been discontinued from use at one of a plurality of collection bases and selects and stores non-defective products for each collection base for products over a wide range of customer use locations. A distribution management system that aggregates into one or a few collection bases and then performs a regeneration process, records the use place of a product operating in the market, monitors or predicts the operating state of the product, A product management means for associating at least the estimated time of discontinuation, operational quality, and operational location with a market-operated product by generating a distribution of the probability of discontinuation with respect to at least usage time or usage of the product, From the information, a prediction / generation means for predicting / generating a collection number distribution of the discontinued products with respect to operation quality and time for each collection base of the product, and at least the number of collections The standard operation quality for selecting non-defective products so as to satisfy at least the number of requests per unit period of the reprocessing processing base that performs the regenerating processing from, and after the non-defective products are selected and stored at the recovery base, It is comprised from the thing provided with the calculation means which calculates the period to ship for every collection base.

  With this configuration, the recoverable amount, the quality of recovered products, and the lead time for procurement of recovered products are not stable, and it is difficult to predict and manage inventory at a recovery site (for example, a warehouse) or a recycling processing site (for example, a recycling processing plant). Even in such a case, the collected items should be put in and out of each recycling base based on the estimated number distribution including the operational quality of the recovered goods at each recovery base in accordance with the recycling processing throughput at the recycling base. In addition, it is possible to procure a recovered product having the best operating quality within a range in which the throughput can be matched. As a result, it is possible to perform optimal control of the quantity and quality of the collected items that are received from the recovery site to the recycling processing site and the time of entry / exit.

  In the physical distribution management system according to the present invention, the calculation means includes the reference operating quality for selecting non-defective products, and a period for shipping the non-defective products to the recycling processing base after the non-defective products are selected and stored at the collection base. When calculating for each collection site, the collection site is configured to guide the collection site to be stored so that the number of collected products does not exceed the allowable stock amount of the collection site in some or all of the collection site and the recycling processing site. Yes.

  With this configuration, when calculating the reference operating quality for sorting non-defective products at each collection site and the period for sorting, storing and shipping to the recycling site at the collection site, the allowable stock amount at each collection site By limiting the upper limit, it is possible to prevent an excessive inventory management cost that accompanies a new warehouse or the like.

  In the physical distribution management system according to the present invention, the calculation means includes the reference operating quality for selecting non-defective products, and a period for shipping the non-defective products to the recycling processing base after the non-defective products are selected and stored at the collection base. When calculating for each collection site, the filling rate of collected products stored at the collection site is leveled over time or minimized for various statistical values for some or all of the collection site and the recycling processing site. It is made up of things that guide you.

  With this configuration, the inventory management cost at the collection site is calculated when calculating the standard operating quality for sorting non-defective products at each collection site and the period for sorting, storage and shipment to the recycling processing site at the collection site. In addition, it is possible to prevent the concentration of inventory management at a small number of collection bases.

  In the physical distribution management system according to the present invention, the calculation means includes the reference operating quality for selecting non-defective products, and a period for shipping the non-defective products to the recycling processing base after the non-defective products are selected and stored at the collection base. When calculating for each collection site, whether the storage amount of products selected as part or all of the collection site at the collection site satisfies the minimum number of lots and unit lots of the site at an early stage Alternatively, a recovery base that is not expected to satisfy the above condition for a long period of time is configured by excluding a base or a period that does not satisfy the above condition from a regeneration target.

  With this configuration, when calculating the standard operating quality for sorting non-defective products at each collection site and the period for sorting, storing and shipping to the recycling site at the collection site, provisions for shipping and transportation It is possible to prevent the occurrence of unnecessary inventory periods due to the collected products that are less than the unit lot, and it is possible to prevent the procurement lead time of the collected products from increasing at the recycling processing base. It is possible to avoid the occurrence of a deviation between the prediction of the inventory amount of the base and the actual results.

In the physical distribution management system according to the present invention, the calculation means includes the reference operating quality for selecting non-defective products, and a period for shipping the non-defective products to the recycling processing base after the non-defective products are selected and stored at the collection base. When calculating for each collection site, the average or total period for storing the items to be regenerated is minimized or leveled at the collection site in the collection site and part or all of the recycling processing site, or the period It is composed of what induces to slow down.
With this configuration, it is possible to minimize the inventory management load at the collection base and to prevent the inventory management load from concentrating on a small number of collection bases.

  In the physical distribution management system according to the present invention, the calculation means includes the reference operating quality for selecting non-defective products, and a period for shipping the non-defective products to the recycling processing base after the non-defective products are selected and stored at the collection base. When calculating for each collection site, the system is configured to guide to minimize the average transportation cost or the total transportation cost of products shipped from each collection site to the recycling processing site.

  With this configuration, it is possible to reduce the ratio of the transportation cost to the total cost while optimizing the overall recovery logistics system.

  In the physical distribution management system according to the present invention, the calculation means includes the reference operating quality for selecting non-defective products, and a period for shipping the non-defective products to the recycling processing base after the non-defective products are selected and stored at the collection base. When calculating for each collection base, it is configured to guide the transport distance to be equalized or minimized for the entire product shipped to the recycling processing base.

  With this configuration, it is possible to shorten the lead time for procurement of collected products to the recycling processing base, and it is possible to reduce the inventory management cost for performing the recycling process. Moreover, it can suppress that a product deteriorates by the handling at the time of transportation by minimizing transportation time.

  In the physical distribution management system according to the present invention, the calculation means includes the reference operating quality for selecting non-defective products, and a period for shipping the non-defective products to the recycling processing base after the non-defective products are selected and stored at the collection base. When calculating for each collection base, it is configured to guide the selection and storage of the non-defective product for the selected specific collection base or period.

  With this configuration, when calculating the reference operating quality for sorting non-defective products and the period for shipping the non-defective products to the recycling processing base after sorting and storing them at the collection base, a user is interposed as necessary. It is possible to add knowledge that is difficult to express quantitatively to the calculation conditions.

  In the physical distribution management system according to the present invention, the calculation means includes the reference operating quality for selecting non-defective products, and a period for shipping the non-defective products to the recycling processing base after the non-defective products are selected and stored at the collection base. When calculating for each collection site, calculating to satisfy one or more of the conditions used for guiding the calculation result or other conditions, or the conditions used for guiding the calculation result, or Gives an evaluation score for each degree of conformity of other defined conditions, selects the non-defective product at the collection site, and sorts and stores the good product at the collection site so that the evaluation point is best One or more of: calculating a period for shipping to the recycling processing base after that, or assigning a cost to all operations / states occurring in the system to be managed and minimizing it. With the combination, and a one to assess the results.

  With this configuration, in consideration of a plurality of conditions, the standard operating quality for selecting non-defective products for each collection site and the period for shipping the non-defective products to the recycling processing site after selecting and storing them at the collection site are optimized. Can be planned.

In the physical distribution management system according to the present invention, the calculation means may be such that the number of sales plans or the predicted demand distribution of recycled products always exceeds the number of recovered products in stock at the recycling processing base, and the difference is within a minimum or constant range. From calculating the standard operating quality for sorting non-defective products and the period for shipping the non-defective products after sorting and storing at the collecting base to the recycling processing base so as to equalize It is configured.
With this configuration, it is possible to align with a demand plan or a sales plan that fluctuates the amount of collected products to the recycling processing base, and it is possible to avoid excess inventory and shortage at the recovery base.

  In the physical distribution management system according to the present invention, the calculating means selects the reference operating quality for selecting non-defective products relating to a part or all of the collection sites, and selects the non-defective products at the collection sites and stores the regenerated products. Create a plurality of pairs with the period to be shipped to the processing base, and select and store the non-defective products for these sets for the calculation result of the number of regenerations per unit period for the recycling processing base and the specific collection base or period. Based on the calculation result when the product is guided to be excluded, the reference operating quality for selecting non-defective products related to all the collection bases, and after the non-defective products are sorted and stored at the recovery bases, We seek superiority relationship with the shipping period and create a new group from two groups with few other superiority, and repeat the above process several times. The standard operating quality for selecting non-defective products for some or all collection bases by creating a high set, and the period for shipping the non-defective products at the collection base after sorting and storing them And a group that seeks a better group.

  With this configuration, it is possible to efficiently evaluate the combination of the standard operating quality for selecting good products for some or all collection bases and the period for shipping good products after sorting and storing good products at the recovery bases. Can be calculated. In addition, since the standard optimum solution can be calculated, the user can be given a degree of freedom to select them.

  Further, in the physical distribution management system of the present invention, the calculation means selects the non-defective product for selecting non-defective products related to the part or all of the collection bases, and selects and stores the non-defective products at the collection bases. When selecting a pair with a period for shipping to a reproduction processing base, the pair is classified by the similarity between the pairs, and the best pair is selected and presented in each classification.

  With this configuration, it is possible to eliminate redundant elements from information presented to the user.

  In the physical distribution management system according to the present invention, the calculation means selects the reference operating quality for selecting non-defective products related to some or all of the collection bases, and selects the non-defective products at the recovery bases and stores the regenerated products. The evaluation is performed on the combination information with the period for shipping to the processing base within the range of the collection remaining capacity at the time of evaluation and the actual remaining capacity of the regeneration processing base or the selected portion.

  With this configuration, when calculating the reference operating quality for selecting non-defective products at each collection site and the period for shipping non-defective products at the collection site to be shipped to the recycling processing site, Capability information can be included, and more realistic combinations can be calculated.

  The physical distribution management system of the present invention further includes a selection unit, and when the calculation unit selects and presents a set that satisfies a condition set by a user or a higher-ranked set among the set information, the selection unit Depending on the means, the amount of storage or the quality during operation of each collection base and the recycling processing base for each collection base and the recycling processing base for the presented set, the degree of utilization of the processing capacity of the recovery base and the recycling processing base according to the storage quantity The remaining processing capacity, or the one that chooses to present the remaining capacity for the number of outputs required for the regeneration processing base.

  With this configuration, the user can directly obtain information related to the evaluation of the combination of the standard operating quality for selecting the non-defective product at each collection site and the period for shipping the non-defective product at the collection site after the non-defective product is selected and stored. I can grasp it.

  In addition, the logistics management method of the present invention collects products that have been discontinued from use at one of a plurality of collection bases and sorts and stores non-defective products at each collection base for products that are used by customers over a wide range. A logistics management method in which recycling processing is performed after concentrating to one or a small number of collection bases, and the usage location of the product operating in the market is recorded to monitor or predict the operating state of the product. Associating at least the estimated time of discontinuation, operational quality, and operational location with a market-operated product by generating a distribution of the probability of discontinuation with respect to at least usage time or usage of the product; From the information, a process for predicting and generating the distribution number of the discontinued products with respect to operation quality and time for each collection base of the product, and at least a regeneration process from the distribution distribution The standard operating quality for selecting non-defective products so as to satisfy at least the number of requests per unit period of the recycling processing base, and the period for shipping the non-defective products to the recycling processing base after selecting and storing them at the collection base And calculating for each collection site.

  With this method, the recoverable amount, the quality of the recovered product, and the lead time of the recovered product are not stable, and it is difficult to predict and manage the inventory at the recovery base (for example, warehouse) or the recycling processing base (for example, the recycling processing factory). Even in such a case, the collected items should be put in and out of each recycling base based on the estimated number distribution including the operational quality of the recovered goods at each recovery base in accordance with the recycling processing throughput at the recycling base. In addition, it is possible to procure a recovered product having the best operating quality within a range in which the throughput can be matched. As a result, it is possible to perform optimal control of the quantity and quality of the collected items that are received from the recovery site to the recycling processing site and the time of entry / exit.

  The recording medium of the present invention collects products that have been discontinued from use at one of a plurality of collection bases, and selects and stores non-defective products at each collection base for products that have a wide range of customer usage locations. A recording medium that records a distribution management program that is aggregated in one or a few collection bases and then performs a recycling process, and records the use place of a product that operates in the market on a computer. Associating a set of at least expected end of use, operating quality and operating location with a market operating product by monitoring or predicting operating conditions and generating a distribution of probabilities of use with respect to at least usage time or usage of said product; Predicting and generating the distribution of the number of products to be discontinued with respect to the operation quality and time for each collection base of the product from the relevant information of the market-operated product; After selecting and storing the non-defective product at the collection site, and the standard operation quality for selecting the non-defective product so as to satisfy at least the number of requests per unit period of the regeneration processing site that performs the regeneration process from the collected number distribution The distribution management program is configured to execute a step of calculating a period for shipping to the recycling processing base for each collection base.

  With this configuration, the recoverable amount, the quality of recovered products, and the lead time for procurement of recovered products are not stable, and it is difficult to predict and manage inventory at a recovery site (for example, a warehouse) or a recycling processing site (for example, a recycling processing plant). Even in such a case, the collected items should be put in and out of each recycling base based on the estimated number distribution including the operational quality of the recovered goods at each recovery base in accordance with the recycling processing throughput at the recycling base. In addition, it is possible to procure a recovered product having the best operating quality within a range in which the throughput can be matched. As a result, it is possible to perform optimal control of the quantity and quality of the collected items that are received from the recovery site to the recycling processing site and the time of entry / exit.

  As described above, the present invention provides a logistics management system, a logistics management method, and a logistics management capable of performing optimal control of the quantity and quality of the collected goods that are received from the collection base to the recycling processing base and the point of entry / exit. A recording medium on which the program is recorded can be provided.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  1 to 8 are diagrams showing an embodiment of a distribution management system, a distribution management method, and a recording medium on which a distribution management program according to the present invention is recorded. An example of managing a copier as a product will be described. It is not limited to a copying machine.

  First, the configuration will be described. FIG. 1 illustrates a physical distribution management system. FIG. 1 shows a so-called “reuse / distribution / sales form” in which a user's used products are collected, subjected to regeneration processing such as maintenance and cleaning, and re-entered into the market.

  In the present embodiment, there are a large number of customers who use the products, and the collection base / warehouse Wm as a collection base for storing used products collected from the customers, and the used products carried from the collection base / warehouse Wm The distribution management system is a regeneration processing factory R as a regeneration processing base for performing regeneration processing such as maintenance and cleaning, and a sales base Si for selling reused products subjected to regeneration processing. The subscripts m and i are integers of 1 or more. Moreover, the arrow in a figure shows the distribution channel of a customer's used product.

  The customer's used product is delivered to a collection company and is once carried into one of the collection bases / warehouses Wm. For example, in the case of a copying machine, there are many cases where a collection company coincides with a local sales base, and there are a plurality of them in the whole country.

  The collection base / warehouse Wm is adjacent to or relatively close to the sales base. Further, in the collection base / warehouse Wm, it is selected whether or not the used product that has been carried in is to be shipped to the recycling processing base R for recycling as a reused product.

  At this time, used products that are out of the sorting are outsourced by a specialized processor. That is, the products that are not selected for reuse here deviate from the physical distribution management system shown in FIG. 1, and local optimization is permitted within the range of individual collected product storage warehouses in the management.

  On the contrary, the used products selected for reuse are shipped according to an instruction from the regeneration processing factory R, and inventory management is performed at the collection base / warehouse Wm until the shipment. In other words, for each collection base / warehouse Wm, it is effective for selecting non-defective products not to reuse all used products that are carried in.

  The used products that have been selected and reused at the collection base / warehouse Wm are collected in one or a few regeneration processing factories R, subjected to regeneration processing, and then shipped to the sales base S.

  The management purpose according to the present embodiment is to optimize the system of the collected physical distribution management system for at least the following three items. The items are: (A) satisfying the number of reused products required for the entire sales base Si, (B) satisfying the quality standards for used products required at the recycling plant R, and (C) Three of minimizing management costs.

  However, in the case of reuse, used products, which are production resources, have large variations in quality, unlike general production activities. In addition, for products that are expected to be used for a long time, the generation period of used products is much longer than the period for recycling or selling reused products, and the amount of used products generated per unit period is not necessarily large. .

  Therefore, in practice, the quality standard required for the used products received at the recycling processing base R is often set near the lower limit of the range that can handle the recycling processing. As a result, if products that barely meet the quality standards are concentrated, the cost of the regeneration processing step at the regeneration processing base R increases. Therefore, in the present embodiment, the item (B) is changed to “(B ′) securing a used product with higher quality while satisfying the quality standard of the used product required at the recycling plant R”. Will need to be replaced.

  In the present embodiment, the above three items are optimized by the following control factors. The control factors are (1) the point at which collection of reusable items begins, (2) the point at which goods are released to the recycling plant R, and (3) the criteria for selecting reusable items for each collection base / warehouse Wm. There are three.

  More specifically, (1) is the elapsed month from the management target period, (2) is the elapsed month from the point (1), and (3) is the usage time. In the present embodiment, the reuse target product selection criterion is set to one type, but a plurality of indicators may be combined.

  Examples of the usable index include an average failure interval (MTTF) or failure rate during operation, a maintenance service request occurrence rate, and the like. As items unique to the target product, the occurrence rate of a system error due to a physical failure is assumed for a computer, and the occurrence frequency of a paper jam or the occurrence rate of unplanned maintenance is assumed for a copying machine. In addition, for many products that are durable goods, the amount used can be used as a quality standard.

  “(3) Reuse target product selection criteria” or “(3) Usage time” indicates that “(B ′) used product quality standards required at the recycling plant R satisfy higher quality standards. At the same time as the means for achieving the purpose of “securing used products”, it is also a means for “(C) minimizing the management cost of the entire physical distribution management system”. In other words, the recovered product storage warehouse that disturbs the system of the physical distribution management system is also used for the purpose of providing a high threshold for both the collection period and the quality of the recovered product and implicitly removing it from the system of the physical distribution system.

  It is a block diagram which shows the specific structure of the physical distribution management system of the structure mentioned above. In FIG. 2, the distribution management system includes a used product generation distribution prediction unit 10 that predicts the timing, region, and quality distribution of used products generated in the market, and collection logistics such as a collection base / warehouse Wm and a recycling processing plant R. Acquired by the condition setting unit 20 for setting various constraints, evaluation conditions, and the like for the system configuration, state, and distribution management system optimization, the used product generation distribution prediction unit 10 and the condition setting unit 20 It comprises an optimization unit 30 that optimizes the constraints / evaluation conditions, and an output unit 40 that presents the input / output of the optimization unit 30 to the user.

  The used product occurrence distribution prediction unit 10 includes a market information recording unit 11 that records and holds the current state of individual products operating in the market, or the state at the end of the product that has been used by the user. The use place of the product that operates in the market is recorded from the information of the section 11, the operation state of the product is monitored or predicted, and the distribution of the probability of discontinuation of use for at least the use time or the use amount of the product is generated. Associate at least the estimated point of discontinuation, operational quality and operational location, and predict the distribution of the number of discontinued products with respect to the operational quality and time for each product collection base / warehouse Wm based on the information related to market-operated products A used product occurrence distribution prediction unit 12 to be generated is provided, and product management means and prediction / generation means are configured.

  In addition, the condition setting unit 20 is a condition information input for inputting various constraints and evaluation conditions for the optimization performed by the optimization unit 30 and the default information holding unit 21 that holds the default information such as the location of the base and various cost information. Part 22.

  The optimization unit 30 constitutes a calculation means, and generates an optimal solution using a genetic algorithm as will be described later. The optimization unit 30 generates a constraint condition to be satisfied by the solution based on the used product occurrence distribution prediction unit 10 and the condition setting unit 20, or a constraint that converts to an evaluation function to be applied after simulation as necessary. A generating unit 31, a solution candidate generating unit 32 that generates a solution candidate that conforms to the constraints generated by the constraint generating unit 31, a constraint matching unit 33 that checks the consistency of the constraints, and a solution candidate generated by the solution candidate generating unit 32 , A simulation unit 34 that simulates and evaluates the problem system, an evaluation unit 35 that evaluates the simulation result, and a genetic that generates a higher evaluation group by performing genetic operations on the solution candidate group. It consists of the imitation unit 36.

  Specifically, the simulating unit 34 and the evaluating unit 35 are configured to select a reference operation quality for selecting non-defective products so as to satisfy at least the number of requests per unit period of the recycling processing plant R from the distribution of the number of collections, A period for shipping non-defective products in the warehouse Wm and then shipping them to the recycling plant R is calculated for each collection base / warehouse Wm.

  Further, the output unit 40 classifies a plurality of sets of parameters as control factors for optimization of the system passed from the optimization unit according to the similarity, and selects and extracts a representative group to select a solution. And the information complementing unit 42 for adding the evaluation aspect selected by the user to the simulation result and evaluation result of the selected parameter set and the optimization unit 30, and the input / output information of the information complementing unit 42 are presented to the user. It consists of a user presentation unit 43.

  The information acquired / held by the market information recording unit 11 includes at least the state quantity related to the use location and operational quality of each product individual, and the current or recent use quantity or usage time, and the used quantity of the product individual being used. For products, this is the amount used or time spent at the end of use. The state quantity related to the operation quality is the same as “(3) reuse target product selection criterion” among the three control factors described above. These are acquired and stored as appropriate at the time of product delivery, maintenance service, user inquiries, and delivery of used products to a collection company.

  For products that are connected to customer contact points via an appropriate network, such as bank ATMs, copiers, or certain types of computer systems, the above-mentioned information is periodically acquired via the connection. It may be updated. In addition, the use place category item here corresponds to the collection base / warehouse Wm described above on a one-to-one basis.

  The end-of-use individual occurrence distribution prediction unit 12 first calculates the distribution function of the number of used product individual occurrences for the usage time and operating quality expected at the end of product use and the place of use from the information held in the market information recording unit 11. To do. The usage time here refers to the time from when the user acquires the product until the use is terminated and the right to possess is relinquished. It is the difference time at the time of acquisition.

  The distribution function can be calculated by any method, but, for example, a general reliability based on the stratified condition of the operating quality or its alternative characteristics, in this embodiment, the discretized product usage and the usage location. Distributions of values called failure rates or mortality rates can be obtained from sexual engineering and medical statistics techniques such as cumulative hazard analysis and life table analysis. By integrating the number of products on the market, the distribution function of the number of used product individuals can be obtained.

  The default information holding unit 21 holds the configuration information of the collected logistics system targeted by the present embodiment. The configuration information includes each connection relation to at least three types of bases, that is, the collection base / warehouse Wm, the regeneration processing factory R, and the sales base Si, and information attached to each connection and base. The information given to the connection is the minimum / maximum number of lots, the lot unit, the transportation cost per lot, the time required for transportation, etc. when goods are distributed through the distribution route corresponding to the connection. The information includes a maximum allowable inventory quantity, a lead time / operation cost associated with an entry / exit operation, a management cost per inventory quantity, and the like.

  In addition, if the collection product storage warehouse is not regularly secured and there is a temporary base that is secured outside the plan, the cost and time required to become available after deciding to secure it will be the default. In addition to the information held in the information holding unit 21. Incidentally, the information held in the default information holding unit 21 is information that defines a problem to be optimized later.

  The condition input unit 22 defines the initial conditions, the constituent elements of the constraint conditions, and the evaluation function after the simulation, which are used in optimization performed by the optimization unit 30 to be described later, by the instruction / input of the user.

  The initial state in the present embodiment refers to the initial inventory of each recovery site Wm immediately before the management target period in the target recovery logistics system and the determination in the management target period of products outside the range managed in the present embodiment It is the amount of finished stock. When the problem to be optimized is defined by the default information holding unit 21, the problem system is corrected using the initial state information.

  The constituent elements of the constraint condition input by the condition input unit 22 are the above-mentioned “(A) satisfy the required number of reused products in the entire sales base Si”, “(b) the used as required in the recycling plant R In terms of “satisfying product quality standards”, the information is not held by the regulation information holding unit 21. Regarding (A), the distribution of the number of reused products required for the entire sales base Si, that is, the sales plan or demand. The predicted distribution and its target period are indicated, and (B) indicates the minimum allowable amount of the state quantity related to the operation quality held in the market information recording unit 11. These are entered by the user.

An evaluation function for evaluating a simulation result used in optimization described later will be described below.
In the present embodiment, optimization is performed based on two viewpoints. The point of view is (C1) minimizing the sum of costs associated with operations / states that occur in the target recovery logistics system during the management period, and (C2) predetermined conditions or users For each of the conditions added by, two points are added or subtracted depending on the degree of conformance, and the total score is made as high as possible. Naturally, the description of (C1) is for the case of point evaluation, and the reverse is the case for point deduction evaluation. If the score of (C2) is converted into cost, (C1) and (C2) can be evaluated simultaneously.

In the present embodiment, the definition of the evaluation function input by the condition input unit 22 is to determine the configuration / selection of the condition (C2) and how to give an evaluation value to it.
In this embodiment, the evaluation condition is described in the form “value” of “evaluation target” in “action range” of “action target” in the form of “operation”. For example, ““ minimize ”the“ average value ”of“ warehouse filling rate ”in“ m = 1-3 warehouse ”of“ recovery base / warehouse Wm ”” is described. The selection items for each item are as follows. “Action target” is a collection base / warehouse Wm, a recycling processing factory R, a used product shipped to the recycling processing factory R, or a used product that is not shipped and is removed from the collection and recycling system, and a combination thereof. The “action range” is the entire “acting subject” or a specific one or a part thereof.

  The “evaluation target” includes a warehouse filling rate, a transportation distance, a transportation cost, a time until a transportation unit lot is filled, and the like. “Value” is various statistical representative values such as an average value, a minimum value, a maximum value, and a variance. “Operation” is minimization, maximization, exclusion outside the specified range, and the like.

  Here, the evaluation value can be given in the form of y = f (x) by the addition function f, where y is the number of points to be added and x is the value to be evaluated. Therefore, the user may express the function f with an appropriate expression for each condition. By the way, minimization is realized by specifying a monotonically decreasing function in the function f, maximizing is specifying a monotonically increasing function in the function f, and exclusion outside the specified range is specified by specifying a step function that falls at the threshold of the specified range. To do.

  FIG. 3 shows an example of an evaluation function for minimizing, FIG. 4 shows an example of an evaluation function for maximization, and FIG. 5 shows an example of an evaluation function for excluding outside the specified range. In addition, although mentioned later in detail, in this Embodiment, a reference value is set to 0 and evaluation is evaluated to a positive direction. Therefore, the lowest evaluation is -∞.

  Incidentally, in addition to minimizing the cost of the entire system, the significance of adding conditions to the evaluation by the user is to evaluate and control the system in aspects other than cost and to control the load distribution in the system. .

  The former will be explained with an example of conditions. Now, there is a condition that “maximum value” of “transport distance” is “minimized” in “all products” of “products to be shipped to the recycling plant R”. This condition does not make sense when simply evaluating and optimizing the cost of the entire system because the evaluation of “transport distance” is incorporated as “transport cost” in (a). However, if the “transport distance” becomes longer, the quality of the “products shipped to the recycling plant R” may be deteriorated in the transport process. Has an important meaning. This is because if the transportation cost has only a small ratio with respect to the cost of the entire system, the transportation distance is allowed to be extremely long.

  Regarding the latter, for example, the following purposes can be considered. If you want to avoid the situation where optimization of the entire recovery / recycling system leads to a situation where the load is concentrated on a specific site or element, there are multiple cost-sharing zones, some of which are outside the user's jurisdiction. Therefore, there is a case where the cost of a jurisdiction or non-jurisdiction is to be kept within a certain range, separately from the entire system.

  The optimization unit 30 can control the system to obtain high evaluation for the input evaluation method within the range satisfying the initial condition / constraint condition for the initial condition, constraint condition, and evaluation method generated / input by the condition setting unit. For each collection base, ie, each collection site / warehouse Wm, “(1) Collection start point of collection of reusable items”, “(2) Start of shipment to recycling plant R”, “(3) Reuse target Find a set of “product selection criteria”. In other words, if there are n collected product storage warehouses to be managed, the solution is composed of a set of 3n numerical values.

  That is, the optimization unit 30 sorts and stores the non-defective product at the collection base / warehouse Wm and the standard operation quality for selecting the non-defective product so as to satisfy the required number per unit period of the recycling processing plant R from the collection of the collected number. After that, a calculation means for calculating a period for shipping to the recycling plant R for each collection base / warehouse Wm is configured.

  Further, as described above, based on the evaluation function input by the condition input unit 22, the constraint generation unit 31 of the optimization unit 30 performs the reference operation quality for selecting the non-defective product and the non-defective product at the collection base / warehouse Wm. When the collection period and the period for shipment to the recycling plant R are calculated for each collection site / warehouse Wm, the collection site / warehouse for some or all of the collection site / warehouse W and the recycling plant R is calculated. The filling rate of the collected items stored at Wm is leveled with respect to time, or is induced to be minimized with respect to various statistics.

  In addition, the constraint generation unit 31 selects the reference operating quality for selecting non-defective products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R for each collection base / warehouse Wm. At the time of calculation, the storage amount of the product selected as a part or all of the collection base / warehouse Wm to be regenerated satisfies the minimum number of lots and unit lots of the collection base / warehouse Wm at an early stage. Alternatively, the recovery base / warehouse Wm that is not expected to satisfy the above-described conditions over a long period of time is excluded from the regeneration target with respect to the recovery base / warehouse Wm or the period that does not satisfy the above-described conditions.

  In addition, the constraint generation unit 31 selects the reference operating quality for selecting non-defective products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R for each collection base / warehouse Wm. When calculating, minimize the average or total period for storing the items to be reclaimed in the collection base / warehouse Wm and part or all of the recycling plant R, or leveling at the collection base / warehouse Wm, or Guide you to slow down the period.

  In addition, the constraint generation unit 31 selects the reference operating quality for selecting non-defective products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R for each collection base / warehouse Wm. At the time of calculation, guidance is performed so as to minimize the average transportation cost or the total transportation cost of the products shipped from each collection base / warehouse Wm to the recycling plant R.

  In addition, the constraint generation unit 31 selects the reference operating quality for selecting non-defective products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R for each collection base / warehouse Wm. When calculating, it guide | induces so that a transport distance may be equalized or minimized in the whole product shipped to the regeneration processing factory R.

  In addition, the constraint generation unit 31 selects the reference operating quality for selecting non-defective products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R for each collection base / warehouse Wm. When calculating, it is guided to exclude the selection and storage of non-defective products for the selected specific collection base / warehouse Wm or period.

  In addition, the constraint generation unit 31 ensures that the number of sales plans or the predicted demand distribution of remanufactured products always exceeds the number of recovered products in stock at the recovery base / warehouse Wm, and the difference is leveled within a minimum or constant range. The standard operation quality for sorting non-defective products and the period for shipping the non-defective products to the recycling plant R after sorting and storing them at the collection base / warehouse Wm are calculated for each collection base / warehouse Wm.

  In addition, the constraint generation unit 31 selects the reference operating quality for selecting non-defective products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R for each collection base / warehouse Wm. When calculating, the above-mentioned conditions used for derivation of the calculation results, or other conditions determined to calculate one or more, or the above-mentioned conditions used for derivation of the calculation results, or other Give a score for each degree of conformity of the defined conditions, select the good quality at the collection base / warehouse Wm, and select the non-defective product at the collection base / store Wm so that the best score is obtained. One or more sets of calculating the period for shipping to the recycling plant R after storage, or assigning costs to all operations / states that occur in the managed system and minimizing them It has not, so as to evaluate the results.

  In addition, the constraint generation unit 31 sorts and stores the non-defective products at the collection base / warehouse Wm after the standard operation quality for selecting good products for some or all of the collection bases / warehouses Wm, and then ships to the recycling processing plant R. Multiple combinations with the period to be used, and excluding the selection and storage of non-defective products for the calculation result of at least the scheduled number of regeneration per unit period and the specific collection base / warehouse Wm or period for these groups. Based on the result of the calculation, the standard operating quality for selecting good products for all collection bases / warehouses Wm, and the recycle processing plant R after selecting and storing good products at the collection bases / warehouses Wm We seek superiority relationship with the shipping period and create a new group from two groups that have few other advantages, and repeat the above process several times to create a highly evaluated group. The standard operating quality for selecting good products for some or all collection bases / warehouses Wm and the period for sorting the good products at the collection bases / warehouses Wm and then shipping them to the recycling plant R From the configured group, a better group is requested.

  Here, in the present embodiment, the optimization unit 30 uses the recovery number distribution to select the non-defective product so as to satisfy the required number per unit period of the reprocessing plant R, and the recovery base / warehouse. The time period for sorting and storing non-defective products at Wm and then shipping to the recycling plant R is calculated for each collection base / warehouse Wm, and the above-described guidance and evaluation are performed by the constraint generation unit 31 as described above. Use genetic algorithms.

  A genetic algorithm is a type of optimization technique that is generally known, and imitates the laws of inheritance in living organisms and seeks better solutions while genetically changing multiple solutions. More specifically, in this algorithm, the solution is expressed in the form of a gene. This describes the features of the solution according to certain rules. Each solution candidate described as this gene is called an “individual”, and a population consisting of multiple individuals is evolved and evolved based on the laws of genetics, making it more optimal for the living environment. An individual that is close to, that is, a solution that is closer to the optimal for the problem is derived.

Here, a method of applying the genetic algorithm in the present embodiment will be described with reference to FIG.
The distribution management program for this genetic algorithm is recorded on a recording medium such as a CD-ROM or DVD-ROM, and this distribution management program is read from the recording medium by a reading device (not shown) and optimized by the optimization unit 30. It is executed by the computer that constitutes.

  That is, the logistics management program records on the computer the location of use of a product that operates in the market, monitors or predicts the operational status of the product, and generates a distribution of the probability of discontinuation of use for at least the usage time or usage of the product. From the step of associating at least the expected end of use, the operation quality and the operation location with the market operation product, and the related information of the market operation product, the operation quality and time of the product to be discontinued for each collection base / warehouse Wm Steps for predicting and generating the distribution of the number of collections, standard operating quality for selecting at least the number of required items for each unit period of the recycling processing plant R from the distribution of the number of collections, and non-defective products at the collection base / warehouse Wm And a step of calculating the period for shipping to the recycling plant R after sorting and storing the waste for each collection base / warehouse Wm. It is intended to be.

FIG. 6 is a flowchart of the genetic algorithm (part of the logistics management program).
First, in the genetic algorithm, the number P of individuals to be generated is determined prior to execution. Here, the number of generations is set to 1 (step S1). This P is arbitrary, and the optimum size varies depending on the problem, but it may be an appropriate size and fixed by the system.

  Next, the constraint condition is read into the constraint matching unit 33 (step S2). The constraint condition is a condition that the solution should satisfy at least, and a solution that does not satisfy the constraint is unconditionally selected before the genetic operation.

  Next, the solution candidate generation unit 32 generates one individual (step S3), and checks whether the generated solution satisfies the constraint condition by the constraint matching unit 33 (step S4). The solution candidate generation unit 32 generates the individual again (step S5).

  This is repeated until the number of individuals reaches P (steps S5 and S6). These P individuals become the initial population. Next, for each of the P individuals, the simulation unit 34 simulates the behavior in the system in question, that is, the transition of various numerical values related to the actual recovered logistics, and evaluates the results (step S7). The superiority relationship of each individual is calculated (step S8). The evaluation of individuals and the calculation of superiority will be described later.

Thereafter, the generation change is repeated up to a predetermined number of generations (steps S9 to S17). This process is performed under the control of the genetic imitation unit 36.
First, two individuals are selected stochastically so that an individual having a smaller number of individuals superior to the current generation individual population is selected with a higher probability (step S10), and genetic operations on the selected two individuals, that is, 2 Crossing of individuals or either mutation is performed to generate a new individual (step S11).

However, crossover / mutation is not always generated, and if neither occurs, one of the original individuals is regarded as a new individual as it is. The genetic operation will be described later.
Next, the newly generated individual is checked by the constraint collation unit 33 to check whether the constraint is satisfied (step S12). If there is no match, the new individual is discarded, and the process returns to step S9 to select two individuals and perform genetic operations again. .

  If matched in step S12, it is added as one of the next-generation individuals (step S13), and it is determined whether or not the next-generation solid number is P (step S14). If not P, the process returns to step S10 and repeats the selection from the selection of the two individuals to the constraint check until there are P next-generation individuals (steps S10 to S12).

  On the other hand, when the number of individuals of the time generation becomes P, after evaluating each individual of the next generation (step S15), the superiority relationship of each individual of the next generation is calculated (step S16). The two operations are the same as the initial population evaluation (step S7) and the superiority relationship calculation (step S8). Then, the current generation individual group is discarded, and the generation change is completed with the next generation individual group as the current generation group (step S17).

  When the generation change is completed, it is checked whether or not a predetermined number of generations has been reached (step S18), and if it has been reached, the optimization is terminated and a part or all of the population of the current generation is replaced with this procedure. The solution set by optimization is output (step S19), and the genetic algorithm implementation procedure, that is, the solution finding process by the optimization unit 30 is completed. Note that the end of the optimization procedure may be defined not by the number of generations but by the value of the evaluation function, but in that case, the value should not be specified directly but by the improvement rate of the solution between generations. Is desirable. This is because if the direct specification of a value is allowed, the optimization procedure will not end if the value is not feasible.

Hereinafter, each element constituting the optimization unit 30 will be described.
The constraint generation unit 31 converts the above-described constraint conditions and conditions that are difficult to calculate before the simulation into an evaluation function.

  Specifically, the constraint generation unit 31 determines the reference operating quality for selecting non-defective products and the period for sorting the non-defective products at the recovery site / warehouse Wm and then shipping them to the recycling plant R. When calculating every Wm, in order to guide the collection base / warehouse Wm and the reprocessing plant R to be partly or entirely so that the number of collected items does not exceed the allowable stock quantity of the collection base / warehouse Wm. It has become.

とすれば良い。遺伝的アルゴリズムにおいて一般的な用語を用いるならば、評価関数ｆ0（ｐ）は、条件１を満たさない個体を致死遺伝子保有の個体とみなすための関数である。なお、前述した通り、評価は基準値を０として、正の方向に評価するものとする。 The restriction condition is an indispensable condition for the existence of the individual as described above. In the embodiment of the present invention, the above-mentioned “(A) satisfy the required number of reuse products of the entire sales base Si”, “( “B) Meet the quality standards of used products required at the recycling plant R” are applicable. For (B), the condition is that all “(3 ′) product state quantities corresponding to the item selection criteria for reuse” in each collection base / warehouse Wm included in the individual exceed the quality criteria in (B). Become.
As for (A), if the system in question is not simulated, its suitability cannot be obtained. Therefore, it is converted into an evaluation function, and the evaluation is performed at the time of evaluation. That is, when the distribution number of the recycling processing plant R in the management period is 0 (t) and the distribution of the number of reused product requests in the entire sales base Si is s (t), the evaluation function f0 (p) for the evaluation target individual p Is

What should I do? If general terms are used in the genetic algorithm, the evaluation function f0 (p) is a function for considering an individual that does not satisfy the condition 1 as an individual having a lethal gene. As described above, the evaluation is made in the positive direction with the reference value set to 0.

  Note that, not only in the present embodiment, when the calculation of conformity of constraint conditions and the calculation for evaluation are performed by the same simulation, the calculation of conformity of constraint conditions is incorporated in the evaluation to satisfy the constraint conditions. The calculation of the constraint may be replaced by making the worst assessment of the missing individual, ie, assuming that it is a lethal gene possession. However, in the case where the wrinkles due to constraints are incorporated in the evaluation, useless individuals are included in the evaluation, so it is necessary to increase the number of individuals and the number of generations used for optimization.

  In addition, the solution candidate generation unit 32 generates “individuals” that constitute the initial individual population before the genetic operation. In this embodiment, “individual”, that is, a solution is described by a bit string. Specifically, at the collection base / warehouse Wm, the collection status k1m at the start of collection of the products to be reused, (2) the production time k2m at the start of delivery to the recycling plant R, and (3 ′) the product status corresponding to the selection criteria for the products to be reused In this embodiment, a bit string representing the product usage amount k3m in binary notation is concatenated, and bit strings corresponding to these collection bases / warehouses Wm are further concatenated to generate one bit string. However, in the present embodiment, k2m is recorded as an elapsed month with the time point of k1m as a base point, and is restored when used.

  For example, if k1m in (1) is a numerical value indicating “the 14th month from the start of the management period”, the corresponding bit string “14” is expressed in binary notation, that is, “1110”. In this method, the maximum bit string length of each element is defined in advance, and when the notation of the value is less than the maximum length, the bit string is padded with zeros from the left to match the bit string length between individuals. For example, if the maximum bit string length is 8 bits, the aforementioned bit string “1110” becomes “00001110”.

  By the way, if the upper limit of the value that can be taken for k1m is 127 months, the upper limit of the value that can be taken at the recording of k2m is 31 months, the target of k3m is the usage time, and the upper limit is 65535 hours. , (Log2 (127 + 1)) + (log2 (31 + 1)) + (log2 (65535 + 1)) = 7 + 5 + 16 = 28 bits are required. At this time, if the number of the collected product storage warehouses for which a solution is to be obtained is n, the gene bit string length of the solution candidate is 28n bits.

The constraint collation unit 33 checks the constraints generated by the constraint generation unit 31 against the individuals, that is, the solution candidates, and selects the individuals that do not satisfy the constraints.
The simulating unit 34, such as the flow rate of goods in the collection logistics system targeted by this embodiment when applying the control factor to each collection base / warehouse Wm indicated by the individual generated by the solution candidate generation unit 32 Perform a simulation. Hereinafter, a specific procedure will be described with an example.

  Prior to the explanation, the structure of the system to be simulated and the definitions of constants, variables and functions are defined. It should be noted that the actual system configuration and constant values are defined by the contents held in the regulation information holding unit 21 in the condition setting unit 20 and corrected by the initial state information input by the condition input unit 22.

  As shown in FIG. 7, this optimization system includes n collection bases / warehouses Wm and one regeneration processing factory. The subscript m of Wm is an integer from 1 to n. It is assumed that each collection base / warehouse Wm is connected to the regeneration processing factory R through one distribution route. In addition, products that are not recycled for reuse and are discharged from the collected logistics system are not included in inventory management targets, but are uniformly defined as “disposal costs per product”. In addition, it is assumed that the demand for reuse products is completely grasped by the recycling plant R as a sales plan, and sales bases are not included in the system.

  Hereinafter, constants as auxiliary information of Wm and R are determined as follows. The subscript m given to each constant indicates that the constant is related to the collection base / warehouse Wm corresponding to the subscript m. Further, let t be the elapsed time from the start of the management period of the collected physical distribution, and t = Tend the end time of the management target period.

  First, for the collection base / warehouse Wm, the time required to ship the inventory to the recycling plant R is Wt1m, the time it takes for the shipped product to arrive at the recycling plant R is Wt2m, and is the minimum unit of shipping. The number of products, that is, the number of lot units in shipping, is Wlm, the inventory management cost per product is Wc1m, the disposal cost per product is Wc2m, and the transportation cost from the collection base / warehouse Wm to the recycling plant R is Wc3. .

Next, the distribution of the number of used products generated with respect to the elapsed time t from the start of the management period and the usage time u of the collected products in the region in charge of the collection base / warehouse Wm, generated by the used product generation distribution prediction unit 10 Let the function be Sm (t, u). However, in this distribution Sm (t, u), it is assumed that the elapsed time t incorporates the transportation time from the place of use of the product user to the collection base / warehouse Wm. As a simple method for incorporating the transportation time, the average transportation time to the product user's use place and the collection base / warehouse Wm is t0m, and the distribution as generated by the used product generation distribution prediction unit 10 in which the transportation time is not factored in. If the function is s0m (t, u),
s (t, u) = s0m ((t-t0m), u).

  Next, as an observation target of the simulation, that is, as a variable to be evaluated by the evaluation unit 35, a recovery product with respect to a use time u at the time of recovery of the stock product at an elapsed time t from the start of the management period of the recovery base / warehouse Wm Stock number distribution wm (t, u), warehousing time t from the start of the management period of the recycling plant R, usage time u when collecting the warehousing product, and in addition, the collection base / warehouse Wm receives the recycling processing plant R. Let r (t, u, l) be the distribution of the number of warehousing items collected for the transportation time l.

  Next, as a distribution function for intermediate processing, the distribution of the number of shipments to the reprocessing plant R with respect to the usage time u at the time of recovery of the stock product at the elapsed time t from the start of the management period of the recovery base / warehouse Wm is expressed as w2m (t, u), and in addition to t and u, the distribution of the number of goods received from the collection base / warehouse Wm with respect to the product transportation time from the stock quantity distribution wm of the collected product to the receipt of R is represented as rm (t, u, l) To do.

  Note that the used product generation number distribution function Sm (t, u), the collected product inventory number distribution wm (t, u), the recovered product warehousing number distribution r (t, u, l) viewed from R, the collection base / Receiving number distribution rm (t, u, l) of the reprocessing plant R viewed from the warehouse Wm, w0m (t, u) for the number of deliverables to the reprocessing plant R, w2m (t, u) Is a discrete distribution.

  Finally, 3m elements which are optimization control factors and solution components are defined again. It is assumed that the collection start point of the reuse target item at the collection base / warehouse Wm is k1 m, the start point of shipment to the reprocessing plant R is k2 m, and the reuse target item selection standard based on the amount used is k3 m.

  The above is the definition of variables, constants, and functions in the present embodiment. Note that the above definition does not include the demand distribution of the reused product, but this is because it is used by the evaluation unit 35 and not by the simulation unit 34. In addition, the allowable stock quantity of each collection base / warehouse Wm is not considered in the simulation stage, but for the solution that causes an event that exceeds the allowable stock quantity, the individual possesses the lethal gene when applying the genetic algorithm. Can be excluded. The same applies to the initial stock amount determined by the condition input unit 22.

Hereinafter, a simulation procedure for a set of k1m, k2m, and k3m for m = 1 to n will be described with reference to FIG.
First, one base m to be collected (corresponding to the collection base / warehouse Wm) is selected at random (step S21). Next, for the collection site m, the used product generation distribution function Sm (t, u) for m is accumulated, and the cumulative inventory distribution wm (t, u) for the management time t for each usage u up to the shipping start time k2m. ) However, items collected before the collected product collection start time k1m or items that do not satisfy the sorting standard k3m based on the amount used are excluded (step S22).

  Next, after setting the time point i to be calculated as the shipping start time point k2m of the collection base m (step S23), the cumulative inventory amount up to the time point i is obtained (step S24). Next, the maximum shipping amount W2m at the time point i is determined so as to be a multiple of the unit shipping lot W1m within a range not exceeding the cumulative inventory amount up to i (step S25).

  Next, an amount that satisfies the maximum shipping amount W2m at the time point i with the smaller usage amount u is taken out from the i time cumulative stock distribution wm (i, u). The taken out amount is set as a shipment amount W2 (m, u) at the time point i (step S26).

  Next, the unshipped portion of the i-point cumulative stock distribution wm (i, u) and the used product generation distribution Sm (i + 1, u) at the i + 1 time are combined to be the inventory distribution Wm (i + 1, u) at the i + 1 time. . However, those that do not satisfy the sorting standard k3m based on the amount used are excluded (step S28).

Next, after moving the calculation target time point i to the next time point (step S28), it is determined whether or not the calculation of the entire management target period has been completed for the recovery site m (step S29).
If this determination result is "NO", the process returns to step S24, and if "YES", the number of warehousing distributions Rm from the recovery base m of the recovery base R (corresponding to the recovery processing factory R) from W2m (i, u). (T, u, l) is obtained (step S30).

  Next, after the collection base m to be calculated is moved to another base that has not yet been calculated (step S31), it is determined whether or not the calculation has been completed for all the collection bases (step S32). If "NO", the process returns to step S22, and if "YES", the total warehousing distribution r (t, t, This processing is terminated as u, l).

  The inventory management cost per product is set to Wc1m and the number of collection sites / wholes / w2m (t, u) as appropriate for the collection number distribution wm (t, u) and shipment number distribution w2m (t, u) for each collection site / warehouse Wm obtained by simulation. By multiplying the transportation cost Wc3 from the warehouse Wm to the recycling plant R, the cost transition of the recovery system can be seen. Also, if the difference between Sm (t, u) and wm (t, u) multiplied by the disposal cost per product multiplied by Wc2m is added to the cost of the recovery system, the product is not included in the reuse target It is possible to obtain the transition of cost considering up to.

The evaluation unit 35 evaluates the various distributions generated by the simulation unit 34 with respect to the evaluation function defined by the condition input unit 22 in the condition setting unit 20 and the constraint set as the evaluation function by the constraint generation unit 31. In FIG. 6 showing the procedure of the genetic algorithm, there is a step of “calculating superiority relationships between individuals”. The superiority relationship depends on the order of evaluation values by the evaluation unit 35.
The overall operation of the genetic imitation unit 36 is as shown in FIG. Individual genetic manipulations are described below.

  In the present embodiment, the genetic operation includes selection of two individuals (step S10 in FIG. 6) and mutation / crossover of the individuals (step S11 in FIG. 6). In the present embodiment, selection of an individual employs a technique widely known in a genetic algorithm called “roulette selection”. This is done by the following procedure. First, g (p) is an evaluation obtained by the evaluation unit 35 for each individual p, G is a sum of evaluations of all individuals, and a probability g (p) / G to be selected for each individual is obtained. Then, two individuals are selected from the individual set using this probability. This completes the selection.

  For the mutation, a mutation probability Pm is determined in advance, and bit inversion is performed with a probability Pm for the constituent bits of each gene. For crossover, a crossover probability Pc is determined in advance, and it is determined whether crossover is performed for two individuals selected based on the probability Pc. The crossover method is one-point crossover, and the crossover point is selected at random. One-point crossing means that the gene bits after the crossing point are exchanged between the two individuals.

  The solution selection unit 41 selects the standard operating quality for selecting good products for some or all collection bases / warehouses Wm, and the period for sorting the good products at the collection bases / warehouses Wm and then shipping them to the recycling plant R Are selected according to the degree of similarity between the sets, and the best set is selected and presented for each classification, thereby constituting a selection means.

  Specifically, an appropriate solution is selected from a plurality of solutions generated by the optimization unit 30. Due to the nature of the genetic algorithm, many solutions are generated, and these include many similar ones. Therefore, it is necessary to appropriately select a representative solution from the generated solutions. In the present embodiment, general hierarchical clustering is used as a vector information classification method for this selection. This is a method in which the most similar samples, or samples and groups, or groups are grouped together into one group, and this procedure is repeated in the order of the most similar levels, so that they are finally grouped into one group. is there. The information presentation unit 42 presents the most highly evaluated sample of each group, that is, a solution.

  It should be noted that the point of time classification to be finally applied to one group is determined by the following procedure. First, the similarity between two groups used for grouping is arranged in order from the last grouping to the first grouping. Next, the classification at the time when the degree of similarity exceeds a predetermined threshold or when the value suddenly changes is adopted.

  Moreover, when the information complementation part 42 selects and presents a combination that satisfies the conditions set by the user or a set higher in the evaluation among the combination information selected by the solution selection unit 41, each collection for the presented combination is collected. The amount of storage or the quality during operation of the products to be reclaimed at the base / warehouse Wm and the recycling plant R, the time transition of the quality during operation, the degree of utilization of the processing capacity of the recovery base / warehouse Wm and the recycling base, the remaining processing capacity, or the recovery base -It is selected to present the remaining capacity for the number of outputs required for the warehouse Wm.

  In other words, the information complementing unit 42 evaluates the condition selected by the solution selecting unit 41 and not evaluated by the simulating unit 34 and the evaluating unit 35 according to a user instruction. Therefore, the internal configuration is the same as that of the evaluation unit 35. The user presenting unit 43 presents the transition of various information generated by the optimization unit 30 or the information complementing unit 42 to the user.

  As described above, in the present embodiment, the usage location of the product operating in the market is recorded to monitor or predict the operation state of the product, and the distribution of the probability of discontinuation of use at least for the usage time or the usage amount of the product is generated. Associate at least the estimated point of discontinuation, operation quality, and operation location with the market operation product, and from the related information of the market operation product, the operation quality and distribution of the number of discontinuation of the discontinued product for each product collection base / warehouse Wm After the standard operating quality for selecting non-defective products to meet the required number per unit period of the reprocessing plant R from the collection of recovered numbers, and after selecting non-defective products at the collection base / warehouse Wm The period for shipping to the recycling plant R is calculated for each collection base / warehouse Wm.

  For this reason, even if the recoverable amount, the quality of the recovered product, and the lead time of the recovered product are not stable and it is difficult to predict and manage the inventory at the recovery site / warehouse Wm, the recovery at each recovery site / warehouse Wm Based on the estimated number distribution including the operational quality of the products, the collected products can be transferred to and from the recovery processing plant R from each recovery site / warehouse Wm according to the recycling processing throughput in the recycling processing plant R, and the throughput is Within the range that can be matched, it is possible to procure the recovered products with the best quality during operation. As a result, it is possible to perform optimal control of the quantity and quality of the collected items received from the collection base / warehouse Wm into the recycling processing plant R and the point of entry / exit.

  Further, in the present embodiment, the standard operation quality for sorting good products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R are collected for each collection base / warehouse Wm. When calculating, in the collection base / warehouse Wm and part or all of the recycling plant R, the number of collected items to be stored and the allowable stock quantity of the collection base / warehouse Wm are not exceeded. It is possible to prevent an excessive inventory management cost accompanying securing and the like.

  Further, in the present embodiment, the standard operation quality for sorting good products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R are collected for each collection base / warehouse Wm. When calculating, for some or all of the collection base / warehouse Wm and the recycling plant R, the filling rate of the collected items stored at the collection base / warehouse Wm is leveled over time or minimized with respect to various statistical values. Therefore, it is possible to reduce the inventory management cost at the collection bases and to prevent the concentration of the inventory management load at a small number of collection bases.

  In addition, in this embodiment, the standard operation quality for sorting good products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R are collected for each collection base / warehouse Wm. At the time of calculation, the storage amount of the product selected as a part or all of the collection base / warehouse Wm to be regenerated satisfies the minimum number of lots and unit lots of the collection base / warehouse Wm at an early stage. Or, for collection bases / warehouses Wm that are not expected to satisfy the above-mentioned conditions for a long time, the collection bases / warehouses Wm or periods that do not satisfy the above-mentioned conditions are excluded from the rehabilitation target. It is possible to prevent the occurrence of unnecessary inventory periods due to the collected products that are less than the unit lot, and to prevent the procurement lead time of the collected products from increasing at the recycling plant R. It can be further it is possible to avoid the occurrence of a reproduction processing plants R inventory levels predicted and actual deviation accompanying them.

  Further, in the present embodiment, the standard operation quality for sorting good products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R are collected for each collection base / warehouse Wm. When calculating, minimize the average or total period for storing the items to be reclaimed in the collection base / warehouse Wm and part or all of the recycling plant R, or leveling at the collection base / warehouse Wm, or In order to minimize the inventory management load at the collection bases / warehouses Wm, it is possible to prevent the stock management load from concentrating on a small number of collection bases / warehouses Wm. it can.

  Further, in the present embodiment, the standard operation quality for sorting good products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R are collected for each collection base / warehouse Wm. When calculating, it guides you to minimize the average transportation cost or total transportation cost of products shipped from each collection base / warehouse Wm to the recycling plant R. It is possible to reduce the ratio of transportation cost to the total.

  Further, in the present embodiment, the standard operation quality for sorting good products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R are collected for each collection base / warehouse Wm. When calculating, it guides you to level or minimize the transport distance for the entire product shipped to the recycling plant R, so you can reduce the lead time for procuring collected items to the collection base / warehouse Wm, The inventory management cost for performing the regeneration process can be reduced. Moreover, it can suppress that a product deteriorates by the handling at the time of transportation by minimizing transportation time.

  Further, in the present embodiment, the standard operation quality for sorting good products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R are collected for each collection base / warehouse Wm. When calculating, the selected collection base / warehouse Wm or period is guided to exclude the selection and storage of non-defective products, so that users can intervene if necessary, and quantitative expressions can be obtained. Difficult knowledge can be added to the calculation conditions.

  Further, in the present embodiment, the standard operation quality for sorting good products and the period for sorting the non-defective products at the collection base / warehouse Wm and then shipping them to the recycling plant R are collected for each collection base / warehouse Wm. When calculating, calculate to satisfy one or more of the conditions used for derivation of the calculation results described above or other conditions set forth above, or the conditions used for derivation of the calculation results described above, or other Give a score for each degree of conformity of the defined conditions, select the good quality at the collection base / warehouse Wm, and select the non-defective product at the collection base / store Wm so that the best score is obtained. One or more sets of calculating the period for shipping to the recycling plant R after storage, or assigning costs to all operations / states that occur in the managed system and minimizing them As a result, the results are evaluated, and in consideration of multiple conditions, the standard operating quality for selecting good products for each collection site / warehouse Wm and the good products sorted and stored at the collection site / warehouse Wm are recycled. The period for shipping to the processing plant R can be optimized.

  Further, in the present embodiment, the number of remanufactured product sales plans or the predicted demand distribution always exceeds the number of recovered products in stock at the recovery base / warehouse Wm, and the difference is leveled within a minimum or constant range. , The standard operating quality for sorting good products and the period for sorting and storing non-defective products at the collection site / warehouse Wm and then shipping to the recycling plant are calculated for each collection site / warehouse Wm. With the warehouse Wm, it is possible to align with the demand plan and the sales plan that fluctuate the procurement amount of the collected product to the reprocessing plant R, and it is possible to avoid excessive stock and missing items at the collection base / warehouse Wm.

  In the present embodiment, the standard operation quality for selecting good products for some or all collection bases / warehouses Wm and the non-defective products are selected and stored at the collection bases / warehouses Wm before being shipped to the recycling plant R. Create multiple pairs with the collection period, and exclude the selection and storage of non-defective products for the collection base / warehouse Wm at least for the estimated number of regenerations per unit period and the specific collection base / warehouse Wm or period. Based on the result of the calculation, the standard operating quality for selecting good products for all collection bases / warehouses Wm, and the recycling plant R after sorting and storing good products at the collection bases / warehouses Wm We seek superiority relationship with the pair with the shipping period, create a new pair from two pairs with few other superiority, and repeat the above processing several times to get a highly evaluated group By creating a standard operating quality for selecting good products for some or all collection bases / warehouses Wm, and a period for sorting good products at collection bases / warehouses Wm and then shipping them to a recycling plant. Since a better group is requested from the configured group, the standard operation quality for selecting good products for some or all collection bases / warehouses Wm and the non-defective products are selected by the collection bases / warehouses Wm. It is possible to efficiently calculate the evaluation of the combination of periods for shipping to the recycling plant R after storage. In addition, since the standard optimum solution can be calculated, the user can be given a degree of freedom to select them.

  In the present embodiment, the standard operation quality for selecting good products for some or all collection bases / warehouses Wm and the non-defective products are selected and stored at the collection bases / warehouses Wm before being shipped to the recycling plant R. When selecting a pair with a period to be used, classification is performed based on the similarity between the pairs, and the best combination is selected and presented for each classification, so that redundant elements can be eliminated from the information presented to the user. .

  In this embodiment, the standard operation quality for selecting good products for some or all collection bases / warehouses Wm, and the non-defective products at the collection bases / warehouses Wm are selected and stored and then shipped to the recycling plant R. Since the evaluation of the combination information with the period to be performed is carried out within the range of the recovery base / warehouse Wm and the remanufacturing plant R's actual remaining capacity at the time of evaluation or a selected part, select the good products at each recovery base / warehouse Wm When calculating the standard operating quality and the period for shipping good products after sorting and storing them at the recovery site / warehouse Wm, the actual capacity information of each recovery site / warehouse Wm can be included. More realistic combinations can be calculated.

  In addition, when the solution selection unit 41 of the present embodiment selects and presents a set that satisfies the conditions set by the user or the set of the higher evaluation among the set information, each collection base / warehouse for the presented set Storage volume of Wm and recycling processing plant R or the amount of quality during operation, time transition of the recovery base / warehouse Wm and processing capacity of the recycling processing plant R, remaining processing capacity, or recovery base / Since we choose to present the remaining capacity for the number of outputs required for the warehouse Wm, after sorting and storing the non-defective products at the standard operation quality and the collection base / warehouse Wm The user can directly grasp the information related to the evaluation of the combination of periods to be shipped to the regeneration processing factory R.

  As described above, the recording medium on which the physical distribution management system, the physical distribution management method, and the physical distribution management program according to the present invention are recorded is optimal for the quantity and quality of the recovered product that is received from the recovery base to the recycling processing base and at the time of storage. Records the distribution management system, distribution management method, and distribution management program that have the effect of being able to control and match the distribution units of collected used products with re-marketed products after recycling. It is useful as a recording medium.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure which shows one Embodiment of the physical distribution management system of this invention, the physical distribution management method, and the recording medium which recorded the physical distribution management program, and is a system block diagram of a physical distribution management system. It is a block diagram of the physical distribution management system of one embodiment. It is a figure which shows the relationship between the evaluation function intended to minimize of one Embodiment, and an evaluation object variable. It is a figure which shows the relationship between the evaluation function intended to maximize of one Embodiment, and an evaluation object variable. It is a figure which shows the accounting of the evaluation function intended to exclude the area | region outside the threshold value of one embodiment, and an evaluation object variable. It is a flowchart of the genetic algorithm of one embodiment. It is a block diagram of the system of the physical distribution management system which the simulation of one embodiment makes object. It is a flowchart of the simulation process of one embodiment.

Explanation of symbols

10 Used product generation distribution prediction unit (product management means, prediction / generation means)
30 Optimization section (calculation means)
41 Solution selection unit (selection means)

Claims (16)

For products over a wide range of customer locations, products that have been discontinued are collected at one of multiple collection bases, and non-defective products are sorted and stored at each collection base for one or a few collection bases. It is a logistics management system that performs regeneration after aggregation.
At least use for market-operated products by recording where they are used in the market, monitoring or predicting the operational status of the product, and generating a distribution of the probability of discontinuation for at least usage time or usage of the product A product management means that associates a set of expected discontinuation time, operational quality and operational location;
A prediction / generation unit that predicts / generates the distribution of the number of products to be discontinued with respect to the operation quality and time for each collection base of the product from the related information of the market operation product;
Standard operation quality for selecting non-defective products so as to satisfy at least the number of requests per unit period of the recycling processing base that performs the recycling processing from the distribution of the recovered number, and recycling after the non-defective products are selected and stored at the recovery base A distribution management system comprising: a calculation unit that calculates a period for shipping to a recycling processing base for processing for each collection base. The calculating means calculates the reference operating quality for sorting non-defective products and a period for shipping the non-defective products after sorting and storing the non-defective products to the recycling processing site for each collection site. 2. The physical distribution management system according to claim 1, wherein, in a part or all of the recovery base and the recycling processing base, the number of recovered products to be stored is guided so as not to exceed an allowable stock amount of the recovery base. The calculating means calculates the reference operating quality for sorting non-defective products and the period for sorting and storing the non-defective products at the collection site and then shipping to the regeneration processing site for each collection site.
For part or all of the recovery site and the recycling processing site, the filling rate of the collected items stored at the recovery site is guided to be leveled with respect to time or minimized with respect to various statistical values. The logistics management system according to claim 1. The calculating means calculates the reference operating quality for sorting non-defective products and the period for sorting and storing the non-defective products at the collection site and then shipping to the regeneration processing site for each collection site.
The storage amount of the product selected as a part of or all of the collection sites to be reclaimed satisfies the minimum number of shipments and unit lots of the sites at an early stage, or satisfies the above conditions over a long period of time. The logistics management system according to claim 1, wherein unrecoverable collection bases are excluded from regeneration targets for bases or periods that do not satisfy the conditions. The calculating means calculates the reference operating quality for sorting non-defective products and the period for sorting and storing the non-defective products at the collection site and then shipping to the regeneration processing site for each collection site.
Inducing the average or total period for storing the items to be reclaimed at some or all of the collection base and the recycling base, or leveling at the collection base, or inducing the period to be delayed The physical distribution management system according to claim 1. The calculating means calculates the reference operating quality for sorting non-defective products and the period for sorting and storing the non-defective products at the collection site and then shipping to the regeneration processing site for each collection site.
2. The physical distribution management system according to claim 1, wherein guidance is performed so as to minimize an average transportation cost or a total transportation cost of products shipped from each collection base to the recycling processing base. The calculating means calculates the reference operating quality for sorting non-defective products and the period for sorting and storing the non-defective products at the collection site and then shipping to the regeneration processing site for each collection site.
2. The physical distribution management system according to claim 1, wherein guidance is performed so that the transport distance is leveled or minimized in the entire product shipped to the recycling processing base. The calculation means calculates the reference operating quality for sorting non-defective products and the period for sorting and storing the non-defective products at the collection site and then shipping to the regeneration processing site for each collection site.
2. The physical distribution management system according to claim 1, wherein guidance is performed so as to exclude the selection and storage of the non-defective product for the selected specific collection base or period. The calculating means calculates the reference operating quality for selecting non-defective products and the period for shipping the non-defective products after selecting and storing the non-defective products at the recovery site for each recovery site. Calculating to satisfy one or more of the conditions used for derivation of the calculation result or other specified conditions;
Alternatively, the reference operating quality for assigning an evaluation point for each degree of conformity of the conditions used for derivation of the calculation result or other conditions, and selecting the non-defective product for each collection base so that the evaluation point is the best Calculating a period for sorting the non-defective products at the collection site and then shipping them to the recycling processing site;
Alternatively, the result is evaluated by one or more combinations of assigning a cost to all operations / states generated in a system to be managed and minimizing the cost. Item 10. The physical distribution management system according to any one of Items 9. The calculation means selects non-defective products so that the sales plan number or the predicted demand distribution of the recycled products always exceeds the number of recovered products stock at the recycling processing base, and the difference is leveled within a minimum or constant range. 2. The calculation of the reference operating quality and the period for shipping the non-defective product after sorting and storing at the collection site to the regeneration processing site for each collection site. Logistics management system. The calculation means includes a set of the reference operating quality for selecting non-defective products related to a part or all of the collection bases, and a period for shipping the non-defective products at the collection bases after being sorted and stored. Calculations are made when a plurality of sets are created, and the group is guided to exclude the selection and storage of the non-defective product for at least the scheduled number of regenerations per unit period for the regeneration processing base and the specific collection base or period. Based on the results, a superior relationship regarding the combination of the standard operating quality for selecting good products for all collection bases and the period for sorting and storing the non-defective products at the recovery bases and shipping to the recycling processing bases. Seeking
The above criteria for selecting non-defective products for some or all collection bases by creating a new group from two groups with few other advantages and creating a highly evaluated group by repeating the above process multiple times. 9. The physical distribution according to claim 8, wherein a better set is obtained from a set comprising operating quality and a period for sorting and storing the non-defective product at the collection site and then shipping to the recycling processing site. Management system. The calculation means includes a combination of the reference operating quality for selecting non-defective products related to the part or all of the collection sites and a period for shipping the non-defective products at the collection sites after sorting and storing them. 12. The physical distribution management system according to claim 11, wherein when selecting a group, the classification is performed based on the similarity between the groups, and the best group is selected and presented for each classification. The calculation means is a set information of the reference operating quality for selecting non-defective products for some or all collection sites and a period for shipping the non-defective products at the collection sites after sorting and storing the non-defective products. 12. The physical distribution management system according to claim 11, wherein the evaluation is carried out for all of the actual remaining capacity of each collection base and the regeneration processing base at the time of evaluation, or in the range of a selected portion. A selection unit, and when the calculation unit selects and presents a set that satisfies the conditions set by the user or a set of the higher evaluation among the set information, each of the presented sets is selected by the selection unit. The amount of storage or the quality during operation of the product to be regenerated at the collection site and the recycling processing base, the time transition of the processing capacity of the collection site and the recycling processing base according to the storage amount, the remaining processing capacity, or the regeneration processing 12. The physical distribution management system according to claim 11, wherein selection is made to present surplus capacity for the number of outputs required for the base. For products over a wide range of customer locations, products that have been discontinued are collected at one of multiple collection bases, and non-defective products are sorted and stored at each collection base for one or a few collection bases. A logistics management method in which regeneration processing is performed after aggregation,
At least use for market-operated products by recording where they are used in the market, monitoring or predicting the operational status of the product, and generating a distribution of the probability of discontinuation for at least usage time or usage of the product A process of associating a set of expected cancellation point, operational quality and operational location;
A step of predicting and generating a distribution of the number of products to be discontinued with respect to operation quality and time for each collection base of the product from the related information of the market operation product;
After selecting and storing the non-defective product at the collection site, and the standard operation quality for selecting the non-defective product so as to satisfy at least the number of requests per unit period of the regeneration processing site that performs the regeneration process from the collected number distribution And a step of calculating for each collection base a period for shipping to the recycling base. For products over a wide range of customer locations, products that have been discontinued are collected at one of multiple collection bases, and non-defective products are sorted and stored at each collection base for one or a few collection bases. A recording medium on which a logistics management program that performs a reproduction process after aggregation is recorded,
A market-operated product is recorded by recording a use location of a product operating in the market on a computer, monitoring or predicting an operating state of the product, and generating a distribution of the probability of discontinuation of use for at least usage time or usage of the product. Associating at least the expected end of use, operational quality and operational location pair,
Predicting and generating the distribution of the number of products to be discontinued with respect to the operation quality and time for each collection base of the product from the relevant information of the market operation product;
After selecting and storing the non-defective product at the collection site, and the standard operation quality for selecting the non-defective product so as to satisfy at least the number of requests per unit period of the regeneration processing site that performs the regeneration process from the collected number distribution A recording medium for recording a distribution management program for executing a step of calculating a period for shipping to the recycling processing base for each collection base.

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