JP2006273577A - Distribution management system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a distribution management system capable of performing the optimum distribution management for products consisting in a mixture of a new article made solely of new components and a reproduced article using at least in one part thereof a recyclable one of the used components of a used article collected. <P>SOLUTION: The distribution management system is equipped with a before-use stock data memory part 3 to store the before-use stock data consisting of the past performance value for each unit period of the stock number of the products before use and the prediction value, a used stock data memory part 2 to store the used stock data including the stock number of the recyclable used articles having recyclable components of a used article, and an ordered quantity deciding part 6 to decide the respective ordered numbers of the new articles and reproduced articles on the basis of the used stock data relative to the required ordered quantity calculated on the basis of the before-use stock data. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a distribution management system that manages the distribution of products by data processing using a computer, and is particularly used for new products manufactured with only new parts and used products recovered after being used. The present invention relates to a distribution management system for a product in which a recycled product using at least a part of a reusable component among the used components is mixed.

  In recent years, smooth management of so-called supply chain management that centrally manages a series of products and information such as product management or associated information management, customer management, distribution management at the delivery stage, delivery management to customers, maintenance management after delivery, etc. In order to achieve this, a management system utilizing computer data processing has been developed. For example, there is a “product management system” disclosed in Patent Document 1 below. In the “product management system”, the system is constructed by linking a server computer and a product management terminal to each other, or is constructed by including a user terminal, and each finished product or a packaging unit of the finished product. For each product that is a structural unit such as an assembly unit, a disposal unit, or a part unit, a storage medium such as an RFID tag in which unique product identification information is written is attached, and this product identification information is read at the shipping stage or the delivery stage. The product itself and information are comprehensively managed by checking each data such as a product database, a customer database, a management database, or an inventory database that is managed by the server computer each time.

  In addition, by combining with demand information of products, it is possible to manage each product at each distribution stage including production volume management after forecasting demand, so optimization of production volume, optimization of inventory quantity, Delivery optimization can be realized.

Japanese Patent Laid-Open No. 2004-307095

  In a distribution management system that centrally manages a series of products and information, the products are usually delivered from the production stage in the factory to the final customer through various distribution channels, and further, maintenance management is performed during the product use period. One life cycle of one product until is the management target.

  However, the product is regularly produced as a recycled product using at least a part of the reusable parts of the used parts that were used in the used goods collected after being used. There is something. For example, a gas meter has a certification expiry date stipulated by the Measurement Act. When the certification expiry date arrives, it can be recovered from the installation and reused, including reusable parts, even if it has not failed. New parts will be produced as a combination of possible parts and new parts.

  For products with reusable parts that use reusable parts and new parts that use only new parts, such as gas meters, not only the optimal management of the number of production and the number of inventory according to demand, but also the production of recycled parts As for the inventory that stores the collected used products used in the factory, it is premised on the reuse of the used products after managing the stock so that it can be efficiently recycled by combining renewable parts and new parts. It is necessary to make a production request for recycled products and manage the recycled products so that they are optimally distributed in the same way as new products.

  Furthermore, in the case of a gas meter, when it is collected as a used product due to the expiry date of the certification, it is necessary to supply another new product by replacing it with a used product. The opportunity to start using is accompanied by special features that differ from ordinary products. Opportunities for generating demand for products are not limited to the expiration of the certification expiration date, but may be due to product failures, product standards or performance changes, new gas supply such as new housing construction, etc. From the thing to the thing whose demand cannot be grasped until just before, or the thing that is difficult to predict at all. Here, in order to request and supply a new or remanufactured product for a new demand and to reduce unnecessary inventory, it is necessary to perform demand prediction with high accuracy. However, as described above, it is necessary to adjust an error in demand prediction in inventory management because demand prediction is extremely difficult at a specific demand occurrence opportunity, and this is a factor that hinders reduction of inventory amount.

  The present invention has been made in view of the above-mentioned problems, and the first object thereof is optimal for products in which recycled products using reusable parts and new products using only new parts are mixed. The second purpose is to provide a distribution management system that can reduce the inventory amount by adjusting the demand forecast error of the product by inventory management. .

  In order to achieve the first object, the distribution management system according to the present invention includes a new product manufactured with only new parts and a used part used for a used product collected after being used. A distribution management system for managing the distribution of a product that contains recycled parts that use at least some of the reusable parts of the product by data processing using a computer, and is a unit of the number of stocks of the product before use Pre-use inventory data storage unit for storing pre-use inventory data comprising actual values and forecast values for each period, and usage including the number of reusable used products having the reusable parts in the used products A used stock data storage unit for storing used stock data and a required order quantity calculated based on the pre-use stock data, and ordering each of the new and refurbished products based on the used stock data. number Be provided with a quantity ordered determination unit that determines the a first it said.

  Furthermore, in addition to the first feature, the distribution management system according to the present invention uses the reclaimed used product and the non-recyclable use not including the reusable used product and the reusable part in addition to the inventory number of the collected used product. A second feature is that a used product classification unit is provided that classifies the product into a used product and registers the number of stocks of the reusable used product in the used stock data storage unit.

  Further, in the distribution management system according to the present invention, in addition to any of the above features, the order quantity determination unit can produce the reproducible product quantity predicted from the recyclable used product inventory quantity, Compared with the required order quantity, if the producible quantity is greater than or equal to the required order quantity, all or almost all of the required order quantity is preferentially assigned to the ordered quantity of the recycled product, and the producible quantity is If the order quantity is less than the required order quantity, all or substantially all of the producible quantity is preferentially assigned to the order quantity of the recycled product, and the quantity shortage of the required order quantity is assigned to the new order quantity. The third feature is that the order quantity of each of the new product and the recycled product is determined.

  Furthermore, the distribution management system according to the present invention, in addition to any one of the above features, a demand data storage unit that stores demand data including a demand actual value and a demand forecast value of the product for each unit period; The pre-use inventory data is calculated based on the demand forecast value and the past order actual value of the demand data until the scheduled delivery date after the production lead time of the product, and satisfies the reference stock quantity at the scheduled delivery time. A reference required order quantity for calculating based on the pre-use inventory data, a correction based on a difference between a demand actual value of the demand data and the demand forecast value for the reference required order quantity, and the actual demand value The correction based on the degree of variation in the past predetermined period of time and the correction based on the difference in the reserved demand value in the same unit period as the demand forecast value, And the required order quantity calculation unit for calculating the principal order quantity, further comprising: a a fourth feature.

  Furthermore, in addition to any of the above features, the distribution management system according to the present invention provides the used inventory data for the used product, wherein the used stock data storage unit includes the inventory number of the reusable used product. In addition, the used inventory data is stored for the scheduled product including the number of reusable scheduled products having reusable parts of the scheduled products to be collected after being used. This is the fifth feature.

  Furthermore, in addition to the fifth feature, the distribution management system according to the present invention is characterized in that the used scheduled product is specified when a predetermined event occurs at a stage before being collected as the used product. It is characterized by.

  Further, in the distribution management system according to the present invention, in addition to any one of the above features, the used inventory data storage unit is configured as a component-specific component for the inventory quantity included in the used inventory data as the used inventory data. The seventh feature is to store the necessary quantity.

  A distribution management system according to the present invention for achieving the second object described above is a distribution management system that manages the distribution of products by data processing using a computer, and is a demand actual value of the product for each unit period. And a demand data storage unit for storing demand data consisting of demand forecast values and the pre-use inventory data from the time of order placement to the scheduled delivery date after the production lead time of the product. Calculate based on the actual value, calculate the standard required order quantity for satisfying the standard inventory quantity at the time of the scheduled delivery, based on the inventory data before use, and the demand of the demand data with respect to the basic required order quantity The correction based on the degree of deviation between the actual value and the demand forecast value, the correction based on the degree of variation of the demand actual value in the past predetermined period, and the same unit as the demand forecast value A necessary order quantity calculating section that calculates the required order quantity by performing at least one of correction of the correction based on the difference of the reservation demand value between, further comprising a a eighth aspect of.

  Further, the distribution management system according to the present invention, in addition to any of the above features, based on the demand forecast value of the product for a long period longer than the unit period, the demand forecast value of the product for each unit period. A ninth feature is that a demand predicted value calculation unit to be calculated is provided.

  Furthermore, in addition to the ninth feature, the distribution management system according to the present invention uses the product systematically when an opportunity to start using the product for determining a demand forecast value of the demand data is used. The first use opportunity that can reliably predict the use quantity in advance, the second use opportunity that the use quantity cannot be grasped unless it is just before using the product, and the use of the product suddenly occurs and the use quantity is The demand forecast value calculation unit is classified into at least three of the third use opportunities that are difficult to predict, and the demand forecast value for the long-term period for each use opportunity is converted into the demand forecast value for each unit period for each use opportunity. The tenth feature is that the assignment is performed according to a predetermined apportionment rule defined in (1).

  Furthermore, in addition to any of the above features, the distribution management system according to the present invention can access the product database in which the individual identification information of the product is registered so as to be searchable together with attribute information including at least the expiration date information of the product. This is an eleventh feature.

  Furthermore, in addition to any of the above features, the distribution management system according to the present invention can access the product database in which the individual identification information of the product is registered so as to be searchable together with attribute information including information on at least used parts of the product. This is the twelfth feature.

  Furthermore, in addition to the eleventh or twelfth feature, the distribution management system according to the present invention has thirteenth feature that the attribute information includes use destination information of the product.

  Furthermore, the distribution management system according to the present invention is characterized in that, in addition to the eleventh or twelfth feature, the attribute information includes information indicating a use state at the time of collection of the product. .

  Furthermore, in addition to any one of the eleventh to fourteenth features, the distribution management system according to the present invention has a fifteenth feature that the product database is provided in the same system.

  Furthermore, in addition to any of the eleventh to fifteenth features, the distribution management system according to the present invention can update the product database in real time at each stage of the product distribution process in units of the product. This is the sixteenth feature.

  Furthermore, the distribution management system according to the present invention has the seventeenth characteristic that, in addition to any of the above characteristics, the product is a gas meter.

  According to the distribution management system according to the first to third features, the order quantity of each new product and remanufactured product with respect to the required order quantity is determined based on the inventory number of the reusable used product in the used inventory data. Therefore, it is possible to effectively reuse recyclable used products that have reusable parts in the collected used products, and to place orders for new and refurbished products that satisfy the required order quantity, that is, production requests. It becomes. Therefore, it is possible to reduce the amount of inventory for storing used products.

  In particular, according to the distribution management system of the second feature, since the number of reusable used products can be grasped at the inventory stage for storing used products, it can be renewed and refurbished to satisfy the required order quantity in a timely manner. It becomes possible to place an order for each item, that is, to request production.

  In addition, according to the distribution management system of the third feature, since the order quantity of each of the new and refurbished items is appropriately determined according to the number of reusable used products in stock, the above first or first A distribution management system that specifically exhibits the operational effects of the second feature can be realized.

  Further, according to the distribution management system of the fourth or eighth feature, the required order quantity calculation unit relates to an error in demand prediction with respect to the reference required order quantity for satisfying the reference stock quantity when the delivery is scheduled. Since one of the three types of corrections is performed and the required order quantity with the effect of the error reduced is calculated, a more accurate product order can be made based on the required order quantity. Accordingly, it is possible to more accurately manage the product inventory before use, and to reduce the inventory.

  In particular, according to the distribution management system of the fourth feature, since the first to third features are combined, it is possible to effectively reuse the reusable used product and regenerate it based on a more accurate required order quantity. Each product can be ordered, and the reduction of the inventory of both used products and products before use is promoted.

  Further, according to the distribution management system of the fifth or sixth feature, the used inventory data, which is the basis on which the order quantity determination unit determines the order quantity, includes the inventory quantity of the reusable used scheduled items, Since the number of stocks that can be used will be available earlier than the number of stocks of reusable used products, the order quantity can be decided ahead of schedule, resulting in a faster delivery date for new and refurbished products. It becomes possible.

  According to the distribution management system of the sixth feature, the scheduled product is specified when a predetermined event occurs at the stage before it is collected as a used product. Can be played. When a predetermined event occurs, the contractor removes the scheduled product and replaces it with a product (new or refurbished) before use, or there is a reservation for the replacement work from the user of the scheduled product. The time when the reservation is confirmed is assumed.

  In addition, according to the distribution management system of the seventh feature, a manufacturer that manufactures a new or refurbished product or a component manufacturer that supplies components to the manufacturer can share the used inventory data so that the required quantity for each component can be reduced. Since it becomes available before ordering (ordering), it is possible to improve the efficiency of inventory management at the parts level and reduce the number of inventory.

  In addition, according to the distribution management system of the ninth or tenth feature, the demand forecast value calculation unit can calculate the daily demand forecast from, for example, the monthly demand forecast. Since the required order quantity that is the basis of the quantity is also obtained daily, the order quantity and inventory quantity can be managed daily. In other words, the order quantity and the inventory quantity of the product before use can be managed in finer units, the product inventory quantity before use can be managed more accurately, and the inventory quantity can be reduced.

  In particular, according to the distribution management system of the tenth feature, for products whose opportunities for starting use of products are classified into at least three of first to third usage opportunities according to the difference in demand prediction, demand prediction Since the value calculation unit calculates the demand forecast for the unit period from the demand forecast for the long term according to the apportionment rule according to each use opportunity, more accurate demand forecast for each unit period can be obtained, and the above-mentioned effect is more reliable Can be played.

  In addition, according to the distribution management system of the eleventh feature, the effective expiration date information of the product being used at the user can be obtained by accessing the product database. It is possible to accurately predict the number of products, that is, the demand due to the reason.

  Further, according to the distribution management system of the twelfth feature, since the parts information used for the collected used products can be obtained by accessing the product database, it can be reused for the used products based on the parts information. It is possible to determine whether or not possible parts are included, and it is possible to easily grasp the number of reusable used products in stock at the inventory stage for storing used products.

  Further, according to the distribution management system of the thirteenth feature, the information on the use destination of the product can be obtained by accessing the product database. Therefore, in the case where the product is a gas meter, the customer in the near future It is possible to grasp in advance the transfer, purchase of new gas consuming equipment, and the like, and it is possible to estimate in advance the new installation of the gas meter, the model or the performance change, thereby making it possible to more accurately predict demand due to a predetermined reason.

  In addition, according to the distribution management system of the fourteenth feature, since the usage state at the time of product recovery can be obtained by accessing the product database, the consumption of the parts used for the used products recovered from the usage state is consumed. The number of reusable used products at the inventory stage for storing used products can be determined based on this information. Can be easily grasped. Here, in the case where the product is a gas meter, assuming the gas usage information when the gas meter is removed as the usage state, it may be possible to determine the degree of wear of the parts based on the amount of gas usage even during the same usage period.

  In the distribution management system according to the eleventh to fourteenth features, even when the product database is provided in the same system, the same effects as described above can be exhibited.

  In addition, according to the distribution management system of the sixteenth feature, the product database can be updated in real time at each stage of the product distribution process in units of products, so that it can always be reproduced based on the latest information. It becomes possible to grasp the inventory amount of used products and the product inventory amount before use, and to predict demand more accurately.

  Moreover, according to the distribution management system of the seventeenth feature, distribution management including gas meter product ordering and inventory management can be executed efficiently.

  Hereinafter, an embodiment of a distribution management system according to the present invention (hereinafter, abbreviated as “the present system” as appropriate) will be described with reference to the drawings.

  The system of the present invention uses at least a part of a reusable part of a used part that has been used for a new part manufactured only with a new part and a used part collected after being used. This is a distribution management system that manages the distribution of products mixed with products by data processing using a computer. In the present embodiment, the system of the present invention will be described assuming a gas meter as a product in which the new product and the recycled product are mixed. In addition, the gas meter assumed in this embodiment measures the usage-amount in each gas consumer of the gas (city gas, such as natural gas) supplied to each gas consumer via a gas supply conduit network from a gas supplier. It is a measuring instrument.

  As shown in FIG. 1, the present system 1 includes a used inventory data storage unit 2, a pre-use inventory data storage unit 3, an order quantity storage unit 4, a demand data storage unit 5, an order quantity determination unit 6, and a used product. A classification unit 7, a required order quantity calculation unit 8, and a demand forecast value calculation unit 9 are provided. The system 1 of the present invention is connected to a product database 12, a monthly demand forecast calculation unit 13, an administrator terminal 14 and a server 15 via a computer network 11 such as a LAN so that data can be transmitted and received between them. And an integrated management system 10 that performs history management in the life cycle from the production of the gas meter to the collection and reuse of the gas meter. Further, the integrated management system 10 including the system 1 of the present invention is configured to be accessible from the outside via the server 15 and includes the Internet, an intranet, a dedicated data communication line (mobile phone packet communication network, PHS line, etc.), etc. Data can be transmitted / received to / from computer terminals 17 to 19 of manufacturers, logistics companies, and construction companies, and mobile information terminals (mobile terminals) 20 such as mobile phones, PDAs (Personal Digital Assistants), and handheld computers, which will be described later. Connect to.

  Prior to the description of the system 1 of the present invention, a distribution path through one cycle from production to reuse of a gas meter will be briefly described. As shown in FIG. 2, when a gas meter is produced and shipped at a manufacturer's factory as a new or recycled product, it is once stored in a warehouse of a logistics company. Here, the gas meter is managed as an inventory before use. The gas meter stored in the warehouse is shipped to a contractor and installed in the gas consumer's home.

  The gas meter installation reasons (opportunity to start using the gas meter) can be broadly classified into the following four types. First, as described above, there is an examination expiration date defined by the Measurement Law as described above, so there is an installation by replacing the old gas meter due to the expiration of the examination expiration date (hereinafter abbreviated as “validation” as appropriate). Secondly, there is an installation by “new establishment” in the case where gas supply is newly started, such as a new house. Thirdly, there is an installation by “model change” in which the model (performance) of the gas meter is changed in order to cope with the demand fluctuation accompanying the increase / decrease of the gas consuming equipment in the gas consumer. Note that a change in the model (performance) of the gas meter may occur even in “validation” or “failure” described later, but a case where only the model (performance) of the gas meter is changed is referred to as “model change”. Fourthly, there is installation due to “failure” in the case of replacement with a normal gas meter due to failure of the gas meter. Of the above four types of installation reasons, the first, third and fourth installation reasons involve the work of removing the old gas meter because the gas meter is replaced with a used gas meter. By the way, as a recovery reason for removing the used gas meter and collecting it, in addition to the above-mentioned first, third and fourth installation reasons, "exclusion" when the gas meter is terminated and the gas meter is completely removed There is a recovery.

  Due to the above installation reasons, the gas meter installed at the gas consumer's house is continuously used at the gas consumer's house until each of the above recovery reasons occurs. Meanwhile, periodic maintenance of the gas meter is carried out by a construction contractor or maintenance contractor as a field work.

  When a collection event such as inspection occurs, the gas meter is removed by the construction contractor and is collected and stored as a used product in the warehouse of the logistics company. Here, the used gas meter is managed as a used stock. A used gas meter stored in a warehouse is recycled to a reusable gas meter including reusable parts. The reusable gas meter is shipped to a manufacturer as a reusable used product, repaired at the manufacturer, and reused for production of a regenerated product.

  The gas meter assumed in the present embodiment is a membrane gas meter configured to be divided into an upper case portion and a lower case portion, and a membrane-type measuring portion is accommodated in the lower case portion. The weighing operation is mechanically transmitted to a mechanical pointer display (counter) provided in the upper case portion, and is converted into an electrical signal (reed switch on / off signal) and transmitted to an electronic microcomputer control unit. The microcomputer control unit measures the gas flow rate from the on / off signal of the reed switch, and performs control such as shutting off the gas meter. More specifically, the microcomputer control unit controls when a large amount of gas leaks, shuts down when gas leaks over a long period of time, shuts down when an earthquake occurs, and displays an alarm when a small amount of gas leaks for a long time. The control related to the gas leakage is performed based on the ON / OFF signal of the reed switch.

  Next, functions and operations of each component of the system 1 of the present invention will be described.

  The used stock data storage unit 2 stores used stock data including the number of reusable used products that have reusable parts among the used products.

  The pre-use inventory data storage unit 3 stores pre-use inventory data composed of actual values and predicted values for each unit period of the number of gas meters in stock in which new and pre-use products are mixed. In the present embodiment, one day is assumed as the unit period. Therefore, the pre-use inventory data is daily data.

  The order quantity storage unit 4 stores actual data of individual daily order quantities related to production requests for new and remanufactured gas meters for manufacturers.

  The demand data storage unit 5 stores demand data including daily demand record values and demand forecast values of the gas meter. Further, the monthly demand actual value and the demand predicted value, which are the original data of the daily demand actual value and the demand predicted value, are also stored in the demand data storage unit 5 together.

  The order quantity determination unit 6 uses the required order quantity (E1) calculated by the required order quantity calculation unit 8 to store the current reusable used product in the used inventory data stored in the used inventory data storage unit 2. Based on the number (D1), the daily order quantity (F0, F1) for each of the new and refurbished products is determined. Specifically, the reproducible product production quantity D2 predicted from the recyclable used product inventory number D1 is compared with the required order quantity E1, and the production quantity D2 is equal to or greater than the required order quantity E1 (D2 ≧ E1). ), The necessary order quantity E1 is allotted to the refurbished order quantity F1 (F1 = E1). If the producible quantity D2 is less than the required order quantity E1 (D2 <E1), the producible quantity D2 is all assigned. The order quantity F1 of the recycled product is assigned (F1 = D2), and the shortage quantity (E1-D2) in the required order quantity E1 is assigned to the new order quantity F0 (F0 = E1-D2). As described above, the gas meter is composed of an upper case part and a lower case part, and each is individually used for a recycled product. Therefore, basically, the reproducible production quantity D2 is the recyclable used product. The number is equal to or less than the stock number D1.

  In the present embodiment, since the order quantity determination unit 6 determines the daily order quantity (F0, F1) for each of the new and remanufactured products, the inventory number D1 of the reusable used products is the past day. The daily new inventory quantity excluding the quantity used to determine the next order quantity (F0, F1) is used.

  The order quantity determination unit 6 stores the determined order quantities (F0, F1) of the new and refurbished items in the order quantity storage unit 4. However, when adjustment of the order quantity with respect to the manufacturer is necessary, there is a possibility that each order (production request) for a new product and a refurbished product is performed with the adjusted order quantity separately from the determined order quantity (F0, F1). In this case, however, the actual order record value is stored in the order quantity storage unit 4 from the manager terminal 14 or the like.

  The used product classification unit 7 sets the number of collected used products in stock D0, the number of reusable used products in stock D1, and the number of non-recyclable used products in stock (D0-D1). And the inventory number D1 of reusable used products is registered in the used stock data storage unit 2. Specifically, every time a used product is collected and received in a collection warehouse at a logistics company, or on a day when used products are collected, it is newly collected and used. The individual identification number is read from a bar code sticker or the like on which the individual identification number (corresponding to individual identification information) affixed to the used product is printed, and the individual identification number is stored in the computer terminal 18 of the logistics company. From the server 15 through the server 15, it is registered in the product database 12 that it is in the collection stage as the location of the gas meter whose individual identification number is read in the product database 12. At the same time, the number of gas meters registered in the product database 12 is added to the used inventory quantity D0 by the server 15 and registered in the used inventory data storage unit 2. The used product classification unit 7 accesses the product database 12 and searches for information on the used parts of each gas meter and information indicating the usage state at the time of collection by using the individual identification number of each gas meter with the stock quantity D0, and reuses it. It is determined whether or not a possible part is included, and the inventory number D1 of reusable used products including reusable parts is accumulated and registered in the used inventory data storage unit 2.

  When producing recycled gas meter products, there are parts that must be replaced with new ones and parts that can be replaced with reusable parts within a specified number of times of use. Is determined whether it can be reused in the next production, that is, whether the usage count limit is exceeded or not, based on the information on the used parts. In addition, the movable membrane used in the metering portion of the lower case portion of the gas meter has a higher degree of wear as the total integrated gas flow rate (total gas usage) at the time of installation increases. The total accumulated gas flow rate is derived based on the guideline value at the time of recovery included in the information indicating the use state in, and the degree of wear of the movable film is determined. Therefore, if it is estimated that the degree of wear is severe even within the usage limit, it is not determined as a reusable part.

  The required order quantity calculation unit 8 calculates the required order quantity (E1) used by the order quantity determination unit 6 to determine the daily order quantity (F0, F1) for each of the new and refurbished products. The required order quantity (E1) is the shortage of inventory quantity that is insufficient for the standard inventory quantity A on the scheduled delivery date (P day = N day + M day) after the production lead time (M day) of the gas meter from the order date (N day). This is the required order quantity E1 (N) that needs to be ordered on the order date (N days) for replenishment, and is calculated as follows. For reference of the following description, FIG. 3 shows the required order quantity E1 (N) calculated by the required order quantity calculation unit 8 and the inventory of the gas meter before use, which is generated intermediately described below. The relationship between the predicted value C (P) of the number, the standard required order quantity E0 (N), and the three correction amounts M0 to M2 is schematically illustrated.

  First, the required order quantity calculation unit 8 calculates a predicted value C (P) of the number of gas meters in stock before use on the scheduled delivery date (P day). The predicted value C (P-1) of the inventory quantity on the day before the scheduled delivery date (P-1 day) is calculated in the same manner on the day before the order date (N day) (N-1 day), and the stock data before use is stored. Stored in part 3. Therefore, the predicted value C (P) is calculated based on the following formula 1 (recursion formula) based on the predicted value C (P-1). Here, the predicted value C (P) is the number of inventory before delivery and after shipment to a construction company on the scheduled delivery date (P day). Although delivery may occur before shipment to a contractor, the predicted value C (P) is a theoretical value in the above definition. In Equation 1, E (N-1) is a necessary order quantity (order actual value) on the day before the order date (N-1 day), and is equal to the planned arrival number on the day before the scheduled delivery date (P-1 day). Therefore, the sum of the first term and the second term on the right-hand side of Equation 1 is equal to the initial stock quantity at the beginning of the scheduled delivery date (P day). G (N) is a daily demand forecast value on the scheduled delivery date (P day), and is a shipping forecast value shipped from the warehouse to the construction company. The demand forecast value G (P) uses data stored in the demand data storage unit 5. That is, the predicted value C (P) represented by the formula 1 is the number of finished stocks on the scheduled delivery date (P day) when the order quantity on the order date (N day) is 0. Note that the required order quantity E (N-1) the day before the order date (N-1 day) is different from the actual order value for reasons such as adjustment of the ordered quantity, and the actual order value is used.

(Equation 1)
C (P) = C (P-1) + E (N-1) -G (P)

  Next, the required order quantity calculation unit 8 compares the calculated inventory quantity predicted value C (P) of the scheduled delivery date (P day) with the reference inventory quantity A, and calculates the shortage (A−C (P) ) Is the reference required order quantity E0 (N). Here, the reference inventory quantity A is a preset value, for example, every three months or half a year, based on the actual value of the inventory quantity in order to maintain an appropriate inventory quantity that does not cause shortage or excessive inventory. Will be reviewed. In the present embodiment, the setting and review of the reference inventory quantity A are performed separately from the system 1 of the present invention, but the setting and review are automatically performed even if performed manually. However, it does not directly affect the processing of the system 1 of the present invention.

  Next, the required order quantity calculation unit 8 calculates the following three correction amounts M0 to M2 with respect to the reference required order quantity E0 (N) and adds them to E0 (N) to obtain the required order quantity E1 ( N) is calculated by the calculation formula shown in the following formula 2.

(Equation 2)
E1 (N) = E0 (N) + M0 + M1 + M2
= AC (P) + M0 + M1 + M2

  The first correction amount M0 is a correction based on the degree of divergence between the demand actual value of demand data and the demand forecast value. In the present embodiment, the demand actual value H of demand data on the day before the order date (N-1 day). The difference between (N-1) and the demand forecast value G (N-1) (H (N-1) -G (N-1)). In other words, if there is an error in the demand forecast value G (N-1) on the order date (N day), if it is not corrected, the demand will be generated daily on the scheduled delivery date (P day) after M days. Since the prediction error is accumulated, it is necessary to correct the daily error every day.

  The second correction amount M1 is a correction based on the degree of variation of the actual demand value in the past predetermined period. In the present embodiment, the daily actual actual value (H (N -1) to H (N-31)) are set as statistical values (for example, standard deviation σ). The larger the variation in the actual demand value, that is, the daily shipment quantity (installed quantity) to the construction contractor, the more accurate the demand forecast value is. Therefore, the variation in the actual demand value is used as an indicator of the demand prediction accuracy. , The prediction error of the third term on the right side of Equation 1 is corrected.

  The third correction amount M2 is a correction based on a difference in the reservation demand value in the same unit period (day) as the demand prediction value, and in this embodiment, the daily demand prediction value G (P) and the daily reservation value. The difference (J (P) -G (P)) of the demand value J (P) is corrected. The daily demand forecast value is calculated based on the monthly demand forecast value as described later, for example, at the end of the previous month, but there was no reservation from the contractor when the monthly demand forecast value was derived. Since (shipment request) is a demand prediction value that is substantially fixed, if the reservation demand value J (P) is greater than the demand prediction value G (P), the reservation demand value J (P) is used as the demand prediction value G. It is preferable to use it as (P). When the reserved demand value J (P) is equal to or less than the demand forecast value G (P), the correction using the third correction amount M2 is not performed. The reservation demand value J (P) is not limited to the reservation (shipment request), but includes a demand value with which the quantity can be grasped in advance.

  The demand forecast value calculation unit 9 calculates a daily demand forecast value based on the monthly demand forecast value separately obtained by the monthly demand forecast calculation unit 13 and registers it in the demand data storage unit 5. In the present embodiment, as described above, the gas meter installation reasons include “validation”, “new installation”, “model change”, and “failure” in the above four cases. As the demand forecast value in units of installation reasons, daily demand forecast values G1 to G4 are calculated for each installation reason, and the sum thereof is set as the daily demand forecast value G.

  Here, the monthly demand forecast value based on “validation” is validated because the expiry date for “validation” is stored in the product database 12 together with the individual identification number of the gas meter installed. The total number of gas meters in the expiration date can be grasped by searching the product database 12. However, not all gas meters in the certification expiry month are removed and replaced with new gas meters in the same month, and replacement work is allocated in the previous month or two months before the expiry date depending on the processing capacity of the contractor. Therefore, the monthly demand forecast value based on the “validation” of a certain month has a high prediction accuracy based on the past construction results etc. from the total number of gas meters whose certification expiration date expires in the same month, the next month, and the following two months. The monthly demand forecast value based on the “verification” of each month is derived.

  Monthly demand forecasts based on “new construction” or “model change” are less accurate than “validation”, but the forecast accuracy will decrease to a certain extent depending on the number of new housing starts, sales data for new large gas consuming equipment, etc. Since it is predictable and a construction request is generated in advance, the number of demands can be determined just before the installation work to some extent. However, monthly demand forecasts based on “failures” are mainly due to sudden failures of gas meters, and are basically unpredictable except when they occur collectively due to specific failure causes. Is possible.

  The demand predicted value calculation unit 9 calculates the daily demand predicted values G1 to G4 for each installation reason based on the monthly demand predicted values obtained for each installation reason by the monthly demand prediction calculation unit 13. Specifically, because there are trends in the frequency of installation work between days of the week and within the month for each installation reason, the monthly demand forecast value is calculated according to the day of the month based on past installation results by installation reason. The daily demand forecast values G1 to G4 are calculated using the proration ratio, and the sum is used as the daily demand forecast value G.

  The order quantity determination unit 6, used product classification unit 7, and required order quantity calculation unit 8 of the system 1 of the present invention perform the above-described processing every day, while the demand forecast value calculation unit 9 As shown below, the daily demand forecast value G of the next month or the next month and the next month is calculated at the end of the month. The demand forecast value calculation unit 9 also preferably corrects the demand forecast value G based on the daily demand actual value, but in this embodiment, the error between the daily forecast value and the actual value is necessary as described above. The order quantity calculation unit 8 takes into account the first correction amount M0 when calculating the required order quantity E1 (N).

  The system 1 of the present invention is configured using general computer hardware and software, and includes an order quantity determination unit 6, a used product classification unit 7, a required order quantity calculation unit 8, and a demand forecast value calculation unit. 9 is realized by executing an application program for each processing on the computer. It should be noted that the application program of each unit does not necessarily have to be executed on the same computer hardware. Further, the used inventory data storage unit 2, the pre-use inventory data storage unit 3, and the order quantity storage unit 4 are formed in predetermined storage areas of the storage device of the computer, but they are not necessarily the same storage device. It does not need to be formed on top.

  Next, the product database 12, the monthly demand forecast calculation unit 13, the administrator terminal 14, and the server 15 other than the system 1 of the present invention constituting the integrated management system 10 will be briefly described.

  In the product database 12, attribute information including an individual identification number of the gas meter and various kinds of information is associated with each other, and one from the other is stored so as to be mutually searchable. The attribute information of a gas meter includes production, delivery, installation (at the time of installation), maintenance, recovery (at the time of removal or / and storage in a warehouse), production order (new and (Recycled products) and the like are comprehensively included, and as shown in FIG. 2, at each stage of the distribution process, computer terminals 17 to 19 of manufacturers, logistics companies, construction companies, and mobile phones By accessing the product database 12 from the information terminal 20 via the communication network and server 15 corresponding to each terminal, the registration / update of attribute information is performed in real time in units of products using individual identification numbers. To be done. As a result, it is possible to grasp in what state each gas meter is in a product unit and in which stage of the distribution process. The attribute information includes the gas meter's certification expiry date (equivalent to the effective expiry date information), information on the parts used at the time of production, information on the installation location where the gas meter is used, and the usage status at the time of product recovery. The information shown is included. Information relating to the used parts used during production is used by the used product classifying unit 7 in relation to the system 1 of the present invention, and the number of reuses of reusable parts is registered. As information on the installation location where the gas meter is used, the customer number of the gas consumer is registered, and the customer information database (not shown) provided separately is accessed based on the customer number. Information such as an address and a telephone number can be searched. The information indicating the usage state at the time of product collection is used by the used product classification unit 7 in relation to the system 1 of the present invention, and for example, a guideline value at the time of collection is registered.

  Regardless of whether it is new or refurbished, the individual identification number of the gas meter is given by each manufacturer before shipment from the factory, and the barcode-coded individual identification number is printed on the barcode sticker, and the barcode sticker is affixed to the gas meter case. Is done. The individual identification number may be fixed to the gas meter using a storage medium other than the barcode (for example, a wireless IC tag). As the individual identification number assigned to each gas meter, a common number is used throughout one life cycle. In addition, even after the gas meter has finished one life cycle and returned to the same manufacturer or another manufacturer, disassembled for recycling and disassembled into reuse parts, the individual identification number of the original meter is stored in the reuse parts as history. It is linked and recorded. The individual identification number, information on parts used, and other information at the time of production are all data in a predetermined data format transmitted from the computer terminal 17 of the manufacturer via the server 15 before shipping to the factory. Is registered in the product database 12. Accordingly, the server 15 functions as a database server for the product database 12.

  The monthly demand forecast calculation unit 13 calculates a monthly demand forecast value used by the demand forecast value calculation unit 9 to calculate a daily demand forecast value, and registers it in the demand data storage unit 5. As shown in the description of the demand forecast value calculation unit 9, the monthly demand forecast value is calculated for each installation reason unit of “validation”, “new establishment”, “model change”, and “failure”. Since each calculation algorithm is not the gist of the present invention, a detailed description is omitted.

  The administrator terminal 14 is a terminal for managing the execution of each process of the system 1 of the present invention, and is used, for example, for confirming or browsing the execution result of each process.

  The server 15 is a communication server between the system 1 of the present invention and the computer terminals 17 to 19 of the manufacturer, logistics company, and construction company, and the portable information terminal 20, as well as the used inventory data storage unit 2, the inventory data before use. It functions as a database server for the storage unit 3, the order quantity storage unit 4, the demand data storage unit 5, and the product database 12.

  For example, registration of various data in the used inventory data storage unit 2, the pre-use inventory data storage unit 3, and the demand data storage unit 5 is performed via the server 15 through the computer terminals 18, 19, And it is performed from the portable information terminal 20.

  Specifically, the actual value of the number of gas meters in stock before use stored in the stock data storage unit 3 before use is the number of daily deliveries from the factory to the warehouse storing the gas meters before use and the construction from the warehouse. It is calculated daily by adding the difference in the number of shipments to the supplier to the previous day's inventory. Here, the data on the number of daily deliveries and the number of shipments are transmitted from the computer terminal 18 of the logistics company to the server 15, and the server 15 stores the data on the number of daily deliveries and the number of shipments in the pre-use inventory data storage unit 3. Is registered, the actual value of the inventory number of the gas meter before use is updated.

  Furthermore, the daily demand actual value of the gas meter stored in the demand data storage unit 5 is registered based on information input from the computer terminal of the construction contractor or the portable information terminal 20 used by the construction contractor on site. For example, when a construction company installs gas meters one by one at the installation site, the individual identification number of the installed gas meter, the customer number of the installation site, the installation reason (such as “validation”), and the guideline value at the time of installation Are input to the portable information terminal 20 and transmitted to the server 15 via a predetermined communication line. Upon receiving the information, the server 15 registers the individual identification number, individual identification number, installation reason and installation date (determined from the transmission date) in the product database 12 based on the individual identification number, and at the same time, demand In the data storage unit 5, 1 is added to the daily actual demand value on the installation date for each installation reason. The monthly demand prediction calculation unit 13 calculates the monthly demand actual value by calculating the daily demand actual value totaled according to the installation reason for one month, and calculates the monthly demand predicted value. Used for.

  Next, processing on an order date (N days) that is regularly executed in the system 1 of the present invention will be described in the order of processing with reference to FIG.

  First, the used product classifying unit 7 sets the collected used product inventory number D0, the reusable used product inventory number D1, and the non-recyclable used product inventory number (D0− D1), and the inventory number D1 of reusable used products is registered in the used stock data storage unit 2 (step # 1).

  Next, in parallel with the processing of the used product classification unit 7, the required order quantity calculation unit 8 calculates the required order quantity E1 (N) that needs to be ordered on the order date (N days) (step # 2). ). The processing order of the used product classification unit 7 and the required order quantity calculation unit 8 may be any first.

  The order quantity determination unit 6 determines the current reusable used product of the used inventory data stored in the used inventory data storage unit 2 for the required order quantity E1 (N) calculated by the required order quantity calculation unit 8. Based on the stock quantity D1, the order quantity (F0, F1) of each of the new and refurbished products ordered on the order date (N days) is determined (step # 3). The specific processing contents of the used product classification unit 7, the required order quantity calculation unit 8, and the order quantity determination unit 6 are as described above, and duplicate descriptions are omitted.

  Next, another embodiment of the system of the present invention will be described.

  <1> In the above embodiment, the description has been made assuming that the used stock data stored in the used stock data storage unit 2 includes the number of stocks of reusable used products. Furthermore, it is preferable that the used inventory data includes a stock number of reusable scheduled products having reusable parts among the scheduled products to be collected after being used. This will be specifically described below. In the following description, for example, in the above embodiment, the number of reusable used products in stock is registered in the used stock data storage unit 2 the day after the used products are received in the used product warehouse of the logistics company. In this embodiment <1>, two days before the used goods are received in the used goods warehouse of the logistics company, the products are used as the planned used goods from the computer terminal 19 of the construction company via the server 15. It is assumed that the information is once registered in the database 12.

  Similar to the case where the used product is managed by the individual identification number in the above embodiment, the individual identification number of the product to be used is also registered in the product database 12 in this embodiment <1>. Specifically, the contractor removes the planned used product for replacement with a new or refurbished gas meter (for example, two days later), and then identifies the individual affixed to the gas meter of all the used planned products that have been removed. The individual identification number is read from a barcode sticker or the like on which the number is printed, and the individual identification number is stored in a computer terminal of a logistics company together with data indicating that the used scheduled product is in a state two days before the used item is stored in the used item warehouse. From 18 to the product database 12 through the server 15. The used product classifying unit 7 accesses the product database 12 and indicates information on the used parts of each planned used product and the usage state at the time of collection based on each individual identification number of the used planned product entered on the day. Information is searched, it is determined whether or not a reusable part is included, and the number of stocks D1 ′ of reusable used scheduled items including the reusable part is accumulated in the used inventory data storage unit 2. sign up.

  The order quantity determination unit 6 determines the current reproducible used scheduled product of the used inventory data stored in the used inventory data storage unit 2 for the required order quantity (E1) calculated by the required order quantity calculation unit 8. Based on the stock quantity (D1 ′), the daily order quantity (F0 ′, F1 ′) for each of the new and recycled products is determined. Specifically, the reproducible production possible quantity D2 ′ predicted from the reusable used product inventory D1 ′ is compared with the required order quantity E1, and the reproducible quantity D2 ′ is equal to or greater than the required order quantity E1. In the case of (D2 ′ ≧ E1), all the required order quantity E1 is assigned to the order quantity F1 ′ of the recycled product (F1 ′ = E1), and the production possible quantity D2 ′ is less than the required order quantity E1 (D2 ′ <E1). In this case, the production possible quantity D2 ′ is all assigned to the refurbished order quantity F1 ′ (F1 ′ = D2 ′), and the shortage quantity (E1-D2 ′) to the required order quantity E1 is assigned to the new order quantity F0 ′. (F0 ′ = E1-D2 ′). As described above, the gas meter is composed of the upper case portion and the lower case portion, and each is individually used for a recycled product. Therefore, basically, the reproducible production quantity D2 ′ is a reusable and scheduled to be used. The number is equal to or less than the stock number D1 ′ of the product.

  In the embodiment <1> according to the present embodiment, the time when the used scheduled product is registered in the product database 12 two days before entering the used product warehouse (three days before the order date in the above embodiment) is set as the order date. Since this is a case (case A) in which the order date itself is advanced, the order date (N days) is 3 days earlier than in the case of the above embodiment, but the scheduled delivery date from the order date (N days) ( Since the production lead time (M day) until P day = N day + M day does not change, the required order quantity calculation unit 8 may calculate the required order quantity (E1) in the same manner as in the above embodiment.

  On the other hand, at the point of time when the scheduled product is registered in the product database 12 two days before entering the used product warehouse (three days before the ordering date in the above embodiment), the ordering is not performed. In the case where the date is the same as the order date in the above-described embodiment (Case B), the stock number D1 ′ of the reusable used product in the used stock data on the order date is set in advance three days before the order date. Since it is known, the part procurement lead time required for parts procurement within the production lead time (M days) can be shortened by 3 days, so that the production lead time (M days) can be shortened by 3 days. However, the production lead time (M days) requires a minimum of the assembly lead time required for assembling the product and the transport lead time from the used product warehouse to the manufacturer.

  Also, in case A and case B above, whether the order date itself is advanced three days (case A) or whether the order date is fixed and the production lead time (M days) is shortened by three days (case B) In any case, the scheduled delivery date (P day) is also advanced by 3 days. Accordingly, since the scheduled delivery date (P day) is the same, the reference stock quantity A on the scheduled delivery date (P day) is also the same, and the calculated required order quantity E1 is also the same.

  In addition, in this embodiment <1>, in either case A or case B, the inventory number D1 ′ of the reusable used scheduled product 2 days before the used scheduled product is received in the used product warehouse. In order to calculate the order quantity (F0 ', F1') based on the There is a risk that wrinkles may occur between the number D1 of finished goods in stock. In this case, the error in the order quantity (F0 ′, F1 ′) due to the bag may be corrected when calculating the order quantity (F0 ′, F1 ′) after 3 days, for example.

  <2> In the alternative embodiment <1>, the construction contractor replaces a new or remanufactured gas meter as the point in time when the inventory number D1 ′ of the reusable used scheduled product is stored in the used stock data storage unit 2. Although the point in time after the used scheduled product is removed (for example, two days later) is assumed, the point in time is not limited to the assumption example of the above-described another embodiment <1>. For example, at a site where a construction contractor has removed a used product to be replaced with a new or refurbished gas meter, the individual identification number is indicated by a bar code sticker printed with an individual identification number affixed to the gas meter removed by the construction contractor. And the individual identification number, together with data indicating that the used product is in the state of 4 days before the used product is stored in the used product warehouse, from the portable information terminal 20 of the logistics company (site worker) via the server 15 Alternatively, it may be individually registered in the product database 12.

  Further, as the point of time when the inventory number D1 ′ of the reusable used scheduled product is stored in the used stock data storage unit 2, the construction contractor removes the used scheduled product for replacement with a new or recycled gas meter. It does not matter if it is a predetermined number of days ago. Prior to a predetermined number of days prior to the replacement work day, it is possible to identify a planned used product by a work reservation from a gas meter user (gas consumer). That is, when the customer ID of the gas consumer is registered together with the individual identification number as the attribute information of the gas meter in the product database 12, and the contractor accepts the replacement work reservation or accepts it via the Internet or the like. By specifying the customer number, the individual identification number of the used scheduled product related to the replacement work can be acquired by searching the product database 12. Therefore, when the replacement work reservation is accepted, the fact that the replacement work reservation state and the planned replacement work date are registered in the product database 12 as the history information (stage information of the distribution process) of the gas meter is used. The used product classifying unit 7 can access the product database 12 and search for a gas meter having the attribute (replacement work reservation status), thereby extracting a used product to be used on a specific replacement work scheduled date. Can be calculated.

  In this alternative embodiment <2>, the point in time when the inventory quantity D1 ′ of the reusable used scheduled product is stored in the used inventory data storage unit 2 is earlier than in the alternative embodiment <1>. It becomes possible to advance the scheduled delivery date further.

  <3> In the above embodiment, the description has been made assuming that the used inventory data stored in the used inventory data storage unit 2 includes the inventory number D1 of reusable used products. Further, the used stock data storage unit 2 determines the parts that are insufficient in the remanufactured used product inventory number D1 for the production of the refurbished ordered quantity F1, that is, the parts quantity that requires a new part. It is also preferable to store the parts separately.

  Further, in each of the above-described embodiments, the case where the used stock data stored in the used stock data storage unit 2 includes the number of stocks D1 'of reusable used scheduled products has been described. Further, the used inventory data storage unit 2 requires parts that are insufficient in the inventory quantity D1 ′ of the reusable used scheduled products for the production of the refurbished ordered quantity F1 ′, that is, new parts. It is also preferable to store the part quantity by part.

  Specifically, the used product classifying unit 7 accesses the product database 12 for a reusable used product with a stock quantity D1 or a reusable used product with a stock quantity D1 ′, and manufactures a remanufactured product. It is determined whether or not a reusable part is included for each available part, and the number of parts that cannot be reused is accumulated for each part to produce a remanufactured part with an order quantity F1 or F1 ′. The necessary parts quantity is calculated and registered in the used inventory data storage unit 2.

  According to the present embodiment, since the quantity of parts necessary for manufacturing the recycled product is pre-calculated and stored in the used inventory data storage unit 2, the manufacturer of the recycled product or the component manufacturer supplying the parts to the manufacturer However, it is possible to access the used inventory data storage unit 2 and obtain the necessary part quantity data so that the manufacturer or part manufacturer can maintain the communication network environment between the computer terminal of the manufacturer or parts manufacturer and the system 1 of the present invention. This makes it possible to grasp the inventory status at the parts level in advance, thereby enabling more efficient parts inventory management. By making the product database 12 accessible from the manufacturer or the parts manufacturer, the same search as the used product classification unit 7 is possible, but necessary part quantity data is registered in the used stock data storage unit 2 in advance. By doing so, it is not necessary to give the maker or component maker access rights to the product database 12, and only necessary data can be provided.

  <4> In the above embodiment and another embodiment <1>, the ordering party based on the order quantity (F0, F1) or (F0 ′, F1 ′) of the new product and the recycled product determined by the order quantity determination unit 6 The number of manufacturers or factories was not specified, but can be any number. However, when the number of suppliers is two or more, it is necessary to separately allocate the order quantity (F0, F1) or (F0 ′, F1 ′) to a plurality of suppliers according to the production capacity of the suppliers. .

  <5> In the above embodiment and another embodiment <1>, the required order quantity calculation unit 8 indicates the predicted value C (P) of the number of gas meters in stock before use on the scheduled delivery date (P day) as shown in Equation 1. Although calculated by the calculation formula, that is, the predicted value C (P) is the number of stocks before delivery on the scheduled delivery date (P day) and after shipment to the construction company, for example, the predicted value C (P) is delivered. The initial inventory quantity on the scheduled date (P day) or the final inventory quantity on the day before the scheduled delivery date (P-1 day) may be used. In this case, the calculation formula shown in Formula 1 is changed as shown in Formula 3 below. The reference required order quantity E0 (N) is given as (A−C (P) + G (P)) instead of (A−C (P)).

(Equation 3)
C (P) = C (P-1) + E (N-1) -G (P-1)

  <6> In the above embodiment and another embodiment <1>, the required order quantity calculation unit 8 sets the first correction amount M0 as the actual demand value H (N− of the demand data on the day before the order date (N−1 day). 1) and the demand predicted value G (N−1) (H (N−1) −G (N−1)), but the first correction amount M0 is not limited to this. Difference (H (N−i) −G (N−i)) between actual demand value H (N−i) and predicted demand value G (N−i) for a certain period (for example, one week), where i = 1 to 7) may be an average value. Further, the correction may be performed only when the difference between the demand actual value of the demand data and the demand forecast value exceeds a predetermined threshold value.

  <7> In the above embodiment and another embodiment <1>, the required order quantity calculation unit 8 sets the second correction amount M1 as the daily demand actual value (H (N -1) to H (N-31)) is obtained by a statistical value (for example, standard deviation σ), but the second correction amount M1 is not limited to this. The difference between the actual demand value H (N−i) and the actual demand value H (N−i−1) for two days before and after 1 month) (H (N−i) −H (N−i−1)) or The average value or the maximum value of the ratio (H (N−i) / H (N−i−1)) may be used.

  <8> In the above embodiment and another embodiment <1>, the required order quantity calculation unit 8 calculates and corrects the following three correction amounts M0 to M2 with respect to the reference required order quantity E0 (N). Although the case has been described, correction other than the correction using the three correction amounts M0 to M2 may be performed. For example, correction based on weather data or the like may be performed.

  <9> In the above embodiment and another embodiment <1>, a film-type gas meter having an abnormality detection function by microcomputer control is assumed as a product targeted for the system 1 of the present invention, but the product is limited to a gas meter. However, even if the product is a gas meter, it is not limited to a microcomputer-controlled membrane gas meter.

  <10> In the above embodiment and another embodiment <1>, the system 1 of the present invention includes a used inventory data storage unit 2, a pre-use inventory data storage unit 3, an order quantity storage unit 4, a demand data storage unit 5, an order Although the case where the quantity determining unit 6, the used product classifying unit 7, the required order quantity calculating unit 8, and the demand forecast value calculating unit 9 are configured has been described, a part thereof is different from the system 1 of the present invention. The device may be provided outside. For example, it is also a preferred embodiment that the demand data storage unit 5 and the demand forecast value calculation unit 9 are provided outside and integrated with the monthly demand forecast calculation unit 13.

  Moreover, in the said embodiment and another embodiment <1>, although the product database 12 and the server 15 which is the database server existed in the integrated management system 10, you may make it provide in this invention system 1. FIG. .

  Further, although the used stock data storage unit 2, the pre-use stock data storage unit 3, the order quantity storage unit 4 and the demand data storage unit 5 are separated from the product database 12, they are configured independently. 2 to 5 and the product database 12 may be integrated. Further, the used inventory data storage unit 2, the pre-use inventory data storage unit 3, the ordered quantity storage unit 4, and the demand data storage unit 5 may be integrated into a database.

  <11> In the above embodiment and another embodiment <1>, the installation location of the system 1 of the present invention is implicitly assumed to be installed in a place other than a manufacturer, a logistics company, and a construction company, that is, in a gas company. However, the installation location of the system 1 of the present invention may be installed in any of a manufacturer, a logistics company, a construction company, a gas company, or a third-party management company. However, when the system 1 of the present invention is installed at a manufacturer, the order quantity is handled as a production quantity.

  <12> In the above embodiment and another embodiment <1>, the processes of the used product classification unit 7, the required order quantity calculation unit 8, and the order quantity determination unit 6 of the system 1 of the present invention are periodically executed every day. Although the case has been described by assuming one day, the unit period is assumed to be one day, but the unit period is not limited to one day, may be a half day, or may be two days or one week. Absent. Moreover, although the monthly demand actual value and the demand forecast value are used as the demand forecast data, when the unit period is shorter than one week, for example, instead of the monthly demand actual value and the demand forecast value, for example, every week or half month You may use the demand actual value and demand forecast value for every.

  The distribution management system according to the present invention can be used when managing the distribution of products by data processing using a computer, and in particular, new products manufactured with only new parts, and collected after being used. The present invention is suitable for a distribution management system for a product in which used parts used for used products are mixed with recycled products using at least a part of reusable parts.

1 is a block diagram showing a schematic functional configuration in an embodiment of a distribution management system according to the present invention. The figure which shows typically the flow of the thing and the flow of information in 1 life cycle of the gas meter The figure explaining the processing content which calculates the required order quantity of the required order quantity calculation part of the distribution management system concerning this invention The flowchart which demonstrates simply the process performed regularly every day in one Embodiment of the distribution management system concerning this invention

Explanation of symbols

1: Distribution management system according to the present invention 2: Used inventory data storage unit 3: Pre-use inventory data storage unit 4: Order quantity storage unit 5: Demand data storage unit 6: Order quantity determination unit 7: Used product classification unit 8: Necessary order quantity calculation unit 9: Demand forecast value calculation unit 10: Integrated management system 11: Computer network 12: Product database 13: Monthly demand forecast calculation unit 14: Administrator terminal 15: Server 16: Network 17: Manufacturer's Computer terminal 18: Computer terminal of logistics company 19: Computer terminal of construction company 20: Mobile information terminal

Claims (17)

There are a mix of new products manufactured with only new parts and recycled products that use at least some of the reusable parts of the used parts that were used and collected after being used. A distribution management system for managing product distribution by data processing using a computer,
A pre-use inventory data storage unit for storing pre-use stock data consisting of actual values and forecast values for each unit period of the number of stocks of the product before use;
A used inventory data storage unit for storing used inventory data including the inventory number of reusable used products having the reusable parts of the used products;
An order quantity determination unit that determines the order quantity of the new and remanufactured goods based on the used inventory data, with respect to the required order quantity calculated based on the pre-use inventory data;
A distribution management system comprising:   The collected inventory of used products is classified into the reusable used products and the non-recyclable used products that do not include the reusable parts, and the number of reusable used products in stock is the used stock. The distribution management system according to claim 1, further comprising a used product classification unit registered in the data storage unit. The order quantity determination unit
Comparing the reproducible product production quantity predicted from the reusable used stock quantity with the required order quantity,
If the producible quantity is greater than or equal to the required order quantity, all or substantially all of the required order quantity is preferentially assigned to the order quantity of the recycled product,
If the producible quantity is less than the required order quantity, all or substantially all of the producible quantity is preferentially assigned to the order quantity of the recycled product,
By allocating a quantity short of the required order quantity to the new order quantity,
The distribution management system according to claim 1, wherein the order quantity of each of the new product and the recycled product is determined. A demand data storage unit for storing demand data including a demand actual value and a demand forecast value of the product for each unit period;
The pre-use inventory data from the time of ordering to the scheduled delivery date after the production lead time of the product is calculated based on the demand forecast value of the demand data and the past actual order value, and the reference stock quantity at the scheduled delivery time is calculated. A standard required order quantity to be satisfied is calculated based on the pre-use inventory data, a correction based on a difference between a demand actual value of the demand data and the demand forecast value with respect to the reference required order quantity, and the demand It is necessary to calculate the required order quantity by performing at least one of correction based on the degree of variation of the actual value in the past predetermined period and correction based on the difference in the reserved demand value in the same unit period as the demand forecast value. An order quantity calculator,
The distribution management system according to any one of claims 1 to 3, further comprising:   The used stock data storage unit includes, in addition to the used stock data for the used product including the number of stocks of the reusable used product, of the used scheduled products to be collected after being used. The distribution management according to any one of claims 1 to 4, wherein used inventory data for the used scheduled product including the number of reusable used scheduled products having reusable parts is stored. system.   The distribution management system according to claim 5, wherein the used scheduled product is specified when a predetermined event occurs in a stage before being collected as the used product.   The said used stock data storage part stores the required quantity according to parts with respect to the stock quantity contained in the said used stock data as said used stock data, The any one of Claims 1-6 characterized by the above-mentioned. The distribution management system described in 1. A distribution management system for managing product distribution by data processing using a computer,
A demand data storage unit for storing demand data composed of actual demand values and demand forecast values of the product for each unit period;
The pre-use inventory data from the time of ordering to the scheduled delivery date after the production lead time of the product is calculated based on the demand forecast value of the demand data and the past actual order value, and the reference stock quantity at the scheduled delivery time is calculated. A standard required order quantity to be satisfied is calculated based on the pre-use inventory data, a correction based on a difference between a demand actual value of the demand data and the demand forecast value with respect to the reference required order quantity, and the demand It is necessary to calculate the required order quantity by performing at least one of correction based on the degree of variation of the actual value in the past predetermined period and correction based on the difference in the reserved demand value in the same unit period as the demand forecast value. An order quantity calculator,
A distribution management system comprising:   The demand forecast value calculation part which calculates the demand forecast value of the said product for every said unit period based on the demand forecast value of the above-mentioned product of a long term longer than the above-mentioned unit period is provided. The distribution management system according to any one of the above. An opportunity to start using the product to determine a demand forecast value of the demand data uses the product and a first usage opportunity that can reliably predict the usage quantity in advance to use the product systematically. It is classified into at least three types: a second usage opportunity in which the usage quantity cannot be grasped unless it is immediately before, and a third usage opportunity in which the use of the product suddenly occurs and the usage quantity is difficult to predict,
The demand forecast value calculation unit assigns the demand forecast value of the long-term period for each use opportunity to the demand forecast value for each unit period according to a predetermined apportionment rule determined for each use opportunity. The distribution management system according to claim 9.   11. The product database in which the individual identification information of the product is registered so as to be searchable together with attribute information including at least effective expiration date information of the product can be accessed. Distribution management system.   12. The product database in which the individual identification information of the product is registered so as to be searchable together with attribute information including information on at least a used part of the product can be accessed. Distribution management system.   The distribution management system according to claim 11 or 12, wherein the attribute information includes information on a usage destination of the product.   The distribution management system according to claim 11 or 12, wherein the attribute information includes information indicating a use state at the time of collection of the product.   The distribution management system according to claim 11, wherein the product database is provided in the same system.   16. The distribution management system according to claim 11, wherein the product database can be updated in real time at each stage of the distribution process of the product in units of the product.   The distribution management system according to any one of claims 1 to 16, wherein the product is a gas meter.