JP6214835B2 - Work guidance assignment system and work guidance assignment method - Google Patents

Description

  The present invention relates to a work guidance assignment system that extracts work having a high work improvement effect and determines a worker to be trained.

  In recent years, there has been a demand for multi-skilled work in a workplace where a variety of products are received and shipped, such as a distribution warehouse. However, there is a variation in productivity due to personal ability in shipping work, and OJT (On-the-Job Training) is effective for improvement. However, improvement of teaching efficiency is important from the viewpoint of cost reduction.

  By the way, in order to improve the instruction efficiency, it is necessary to make it easier to identify the location of the problem and to quantitatively evaluate the work improvement effect. In Japanese Patent Laid-Open No. 2006-260156 (Patent Document 1), predetermined statistical processing and calculation processing are executed for a work time required for a routine work, and a work that can be improved from among a plurality of routine work. In addition to the extraction, it is possible to calculate the evaluation value of the work improvement effect in the improvement work.

JP 2006-260156 A

  The shipping operation in logistics is an atypical operation that depends on a single characteristic of each product included in the operation and a combination of a plurality of products, and cannot be handled as a standard operation defined in Patent Document 1. Moreover, in patent document 1, the distribution with respect to the work time of a routine work is used, and it cannot apply to the distribution shipping work whose work content is atypical. Moreover, it does not describe how to identify workers to be instructed after identifying improvement work.

  In order to solve the above problems, one aspect of the present invention is a work instruction assignment system including a control unit, a storage unit connected to the control unit, and an output unit connected to the control unit. The storage unit holds work log data indicating the contents of work performed in the past, and the control unit ships the articles of the plurality of items upon receiving a shipment instruction of the articles of the plurality of items. Creating work instruction data for assigning each worker to each work specified by the work process and the article of one or more items to be worked, and based on at least one of the shipping instruction and the work log data Calculating an expected improvement effect amount indicating the magnitude of the productivity improvement effect expected by performing work guidance for each set of the work process and one or more items included in the work target, and the work log data Based on Then, an operator with low productivity regarding a set of a work process in which the expected improvement effect amount satisfies a predetermined condition and one or more items included in the work target is selected as a guidance target person, and the work process and the work Production by selecting a worker who is higher in productivity with respect to a pair with one or more items included in the target than the guidance target person as a leader, and performing the work guidance by the leader based on the work instruction data It is determined whether or not a shipment delay occurs due to a decrease in the performance, and when the shipment delay does not occur, the expected improvement effect amount is included in the work process and the work target that satisfy a predetermined condition when the shipment delay does not occur. A set of one or more items, the instructor, and the instructor is output.

  According to one aspect of the present invention, in a logistics shipping operation in which work contents are atypical and workability factors cannot be decomposed into product units, a work with a high improvement effect is extracted, and an operator having a low target work ability is selected. It is possible to efficiently improve the productivity of the entire warehouse by providing guidance. Problems, configurations, and effects other than those described above will be clarified by the following description of embodiments.

It is a block diagram which shows the structure of the work guidance allocation system in embodiment of this invention. It is a flowchart which shows the basic process of the work guidance allocation system of embodiment of this invention. It is a flowchart which shows the merchandise shipment ratio calculation process which the merchandise shipment ratio calculation part of embodiment of this invention performs. It is explanatory drawing of the merchandise shipment ratio data which the merchandise shipment ratio data storage area of embodiment of this invention preserve | saves. It is a flowchart which shows the productivity calculation process classified by work which the statistical calculation process part of embodiment of this invention performs. It is explanatory drawing of the productivity data classified by work classified by worker calculated by the statistical calculation process part of embodiment of this invention. It is explanatory drawing of the productivity data according to goods preserve | saved by the productivity data storage area according to goods of embodiment of this invention. It is a distribution diagram which shows the relationship between the productivity according to goods produced by the operation | work produced by the statistical calculation process part of embodiment of this invention, and the number of people. It is explanatory drawing of the expected improvement effect amount data which stores the expected improvement effect amount calculated by the statistical calculation process part of embodiment of this invention. It is explanatory drawing of the guidance performance data which the guidance performance data storage area of embodiment of this invention preserve | saves. It is a flowchart which shows the work guidance allocation calculation process which the work instruction management part of embodiment of this invention performs. It is explanatory drawing which shows an example of the output screen displayed on the display screen of the display part of embodiment of this invention.

  Embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 is a block diagram showing a configuration of a work guidance assignment system in an embodiment of the present invention.

  General shipping operations in a distribution warehouse include entry, storage, delivery, processing, collection, replenishment, inspection, packaging, and assortment. A warehouse management system 10 (WMS: warehouse Management System) is generally used as a system for managing the operations in the warehouse. Further, in an environment connected to the warehouse management system 10 through the network 13, there are an attendance management system 11 for managing the work of workers and a business data server 12 for storing business information.

  The work instruction assignment system is realized by the work instruction assignment apparatus 1 connected to the warehouse management system 10 and the attendance management system 11 via the network 13.

  The shipping instructions are stored in a database in the business data server 12 or the warehouse management system 10. Further, in the database in the business data server 12 or the warehouse management system 10, a delivery master 14 and a product master 15 are stored as information related to the distribution warehouse business.

  The merchandise master 15 has at least a merchandise code and the number of entries.

  The product code is a product name or a model number for specifying an item of a product (that is, an item to be shipped).

  The number of pieces represents the number of products in one case (that is, the number of pieces) when the products are collected as cases in a packaging package for each predetermined number. For example, when the shipping instruction is specified as 15 (15 pieces) for a product with 10 pieces (10 pieces), a plurality of quantity data of 1 case and 5 pieces is specified.

  Note that the number of entries may be changed for each product at a certain point in time. For this reason, the product master 15 may include, in addition to the number of entries for each product currently applied, a number of entries that have been applied in the past and a time stamp indicating the period in which those entries are applied. .

  The work instruction assigning device 1 is a computer device composed of computer hardware and application software executed on the hardware, and performs a process of assigning a shipping instruction to an operator. In the process, the work instruction assigning apparatus 1 identifies a work having a high man-hour reduction effect, and assigns a leader, a work for guidance, and a guidance time to a worker with low productivity of the target work.

  The work instruction assigning apparatus 1 includes an input / output terminal 2, a control unit 20, and a storage unit 30. The input / output terminal 2 receives information from the input unit 3 that processes input from the user, the display unit 4 that outputs work instruction assignment, and the like, and the business data server 12, the warehouse management system 10, and the attendance management system 11. It has the communication part 5 which performs transmission / reception. The control unit 20 controls a work instruction management unit 21, a product shipment ratio calculation unit 22, a statistical calculation processing unit 23, and an expected improvement effect amount calculation unit 24 for creating work guidance assignments. The storage unit 30 holds a data storage area necessary for control by the control unit 20.

  The control unit 20 is a processor that executes a program (not shown) stored in the storage unit 30. In the following description, the processing executed by each unit such as the work instruction management unit 21 is actually executed by the control unit 20 according to an instruction described in a program stored in the storage unit 30.

  The storage unit 30 may include, for example, a so-called main storage device using a semiconductor storage device and a so-called external storage device such as a hard disk drive, and is necessary for control by the control unit 20 in addition to a storage area of a program executed by the control unit 20. As data storage areas, work instruction data storage area 31, product shipment ratio data storage area 32, work-by-product productivity data storage area 33, worker-by-worker productivity data storage area 34, work log data storage area 35, expectation An improvement effect amount data storage area 36 and an instruction result data storage area 37 are included.

  FIG. 2 is a flowchart showing the basic processing of the work guidance assignment system in the embodiment of the present invention.

  In S101, the warehouse management system 10 of the distribution warehouse receives a shipping order from a shipper who is the owner of the product or a store which is the delivery destination of the product. The shipping order is delivered in the warehouse management system 10 as shipping instruction data consisting of information that combines delivery destination information, delivery date and time, at least one or more product codes, and the order quantity of the products identified by each product code. The data is stored in the database or the business data server 12 and transmitted to the work instruction assignment apparatus 1 by the warehouse management system 10. In the present embodiment, at least shipping instruction data for one day (hereinafter also referred to as “the current day”) on which work is to be assigned is transmitted to the work instruction assigning apparatus 1.

  In S <b> 102, work instruction data for assigning all work designated by all shipment instruction data for a predetermined period (one day in this embodiment) to the worker is created. Specifically, the work instruction management unit 21 generates work instruction data based on the information held by the business data server 12 and the received shipping instruction data for the current day. The work instruction data includes at least delivery destination information, delivery information, and work target data.

  The work target data is composed of work contents for at least one product. The work content has at least a work process and one or more product codes. These pieces of information are stored in the work instruction data storage area 31.

  In step S103, the product shipment ratio calculation unit 22 refers to the shipment instruction data and work instruction data, and calculates the shipment ratio of each product with respect to the total number of shipments of all products. Details of S103 will be described with reference to FIGS.

  FIG. 3 is a flowchart illustrating a product shipment ratio calculation process executed by the product shipment ratio calculation unit 22 according to the embodiment of this invention.

  FIG. 4 is an explanatory diagram of the product shipment ratio data 401 stored in the product shipment ratio data storage area 32 according to the embodiment of this invention.

  The merchandise shipment ratio data 401 includes at least a merchandise code 402, a merchandise shipment ratio 403, and a unit conversion coefficient 404. The product shipment ratio is calculated by “the number of shipment instructions retrieved using the product code as a key / the total number of shipment instructions included in the shipment instruction data”.

  Here, the “total number of shipping instructions included in the shipping instruction data” is the total number of pieces of all commodities included in the shipping instruction data of the day. On the other hand, “the number of shipment instructions retrieved using a product code as a key” means that the one or more product codes are used as a key to search the current day's shipment instruction data and are included in the hit shipment instruction data. This is the total number of pieces of merchandise of one or more items identified by the merchandise code. In other words, it is the total number of pieces of products shipped to a common shipping destination among products of one or more items identified by one or more product codes specified as search keys. When the combination of the products of the one or more items is shipped to a plurality of shipping destinations, the number of pieces of the products shipped to the plurality of shipping destinations is totaled.

  For example, when the product code “A” is designated as a search key, “the number of shipment instructions retrieved using the product code as a key” is hit using the product code “A” as a search key in the shipment instruction data of the day. This is the total number of pieces of a product identified by a product code “A” included in the shipping instruction data (hereinafter also referred to as product A. The same applies to other product codes).

  On the other hand, for example, when the product codes “A” and “B” are designated as search keys, “the number of shipment instructions retrieved using the product code as a key” includes the product code “A” and the product code “A” This is the total number of pieces of the product A and the product B included in the shipping instruction data hit using “B” as a search key. In other words, it is the total number of pieces of the product A and the product B included in the shipping instruction data regarding the shipping destination to which both the product A and the product B are shipped. More specifically, for example, there are three shipping destinations in the shipping operation on the day, and only the product A is shipped to the first shipping destination, and the products A and B are both supplied to the second and third shipping destinations. When both are shipped, the total number of pieces of the products A and B shipped to the second and third shipping destinations is “the number of shipment instructions retrieved using the product code as a key”.

  It can be said that the higher the product shipment ratio of a product of one or more items (hereinafter also referred to as a product group; details will be described later), the more the shipment work for that product group tends to be performed on that day. The merchandise shipment ratio data 401 includes merchandise shipment ratios for all combinations of merchandise included in the shipping instruction data on the current day.

  Next, calculation of the unit conversion coefficient will be described. The merchandise shipment ratio calculation unit 22 converts the quantity of the merchandise included in the shipping instruction of a certain merchandise into the number of cases and the number of pieces, and calculates the sum of them as the number of operations. Here, unit conversion is performed using a value obtained by averaging the number of operations per shipment instruction for a product as a unit conversion coefficient. The unit conversion coefficient is calculated by “the number of shipment instructions retrieved using the product code as a key / the number of operations”. The number of operations is an example of an index indicating the amount of work, for example, the number of touches described later. The larger the unit conversion factor of a product of a certain item, the larger the average number of pieces that can be processed with a predetermined work amount (for example, one touch) in the shipping operation of the product of that item on that day. It shows that the average work amount for processing is small.

  In S301, the product shipment ratio calculation unit 22 selects one product group. Here, the product group is a group of one or more items. For example, one item may constitute one commodity group, a combination of any two items may constitute one commodity group, or a combination of a plurality of arbitrary plural items of three or more You may comprise one goods group. In S <b> 301, one of all possible product groups is selected based on the product code stored in the product master 15.

  In S302, the product shipment ratio calculation unit 22 calculates a product shipment ratio and a unit conversion coefficient for the selected product group. Next, in S303, the product shipment ratio calculation unit 22 determines whether or not there is a product group that has not yet been selected, and if there is, executes the processing from S301 onward for that product group. Accordingly, the product shipment ratio calculation unit 22 repeats the processing from S301 onward for the number of all combinations of the product codes stored in the product master 15. The product shipment ratio calculation unit 22 stores the product code, the product shipment ratio, and the unit conversion coefficient of each product group in the product shipment ratio data storage area 32 as the product shipment ratio data 401 (S304).

  In the example of FIGS. 3 and 4, 0.5 and 2.5 are respectively calculated as the product shipment ratio and the unit conversion coefficient when the product A is selected as the product group. This means that 50% of the number of pieces of all the products included in the shipping instruction of the day is the number of pieces of the product A, and the operation for the product A in the shipping instruction of the day averages 2 per touch. Means that 5 pieces can be processed. In addition, 0.7 and 3.0 are calculated as the product shipment ratio and the unit conversion coefficient when the combination of the product A and the product B is selected as the product group, respectively. This is because 70% of the number of pieces of all the products included in the shipping instruction on the day is the number of pieces of the products A and B that are shipped to a common shipping destination, and the product A in the shipping instruction on the day Or it means that an average of 3.0 pieces can be processed with one touch regarding the work for the product B.

  Next, in S104, the statistical calculation processing unit 23 reads work log data based on the past shipment results (that is, the period until the day before that day). The work log data has at least a work start date and time, a worker ID, a work process, work target data, and a required time for each work performed in the past, and is stored in the work log data storage area 35.

  The work start date and time is the date and time when each work started. The worker ID identifies the worker who performed each work. The work process indicates which process (for example, picking or inspection) corresponds to each work performed. The work target data includes information on the item and quantity of the product that is the target of each work. Note that there are cases where a plurality of items of merchandise is a target of one work. For example, a case where picking work is performed on commodities of a plurality of items shipped to one shipping destination. In such a case, the work target data related to the work includes items of a plurality of products and the quantity of products of each item. The required time indicates the time required until each work is completed.

  In S105, in order to quantify the effect of the product on productivity for each work and for each product, the statistical calculation processing unit 23 calculates the productivity for each product by work from the work log data acquired in S104. .

  First, the statistical calculation processing unit 23 will be described. The statistical calculation processing unit 23 executes predetermined statistical processing and calculation processing on the selected product and work productivity. In S <b> 105, the statistical calculation processing unit 23 calculates a representative value and standard deviation of the productivity distribution for each worker estimated from the work time required for the selected product and each work. In the present embodiment, the amount of work performed per predetermined time (for example, one hour) is calculated as productivity from the work log data, and the average value is calculated as a representative value.

  The amount of work is, for example, the number of times of handling each product. For example, when picking one case of a product in the picking work, the number of times of the work is counted as one, and 5 pieces of the product taken out from the case are counted. When picking, the number of operations is counted as five. This number of operations is also called the number of touches. In the present embodiment, the number of touches per hour obtained by dividing the number of touches in a work related to a certain product, counted in a certain period in the past, by the length of the period is described as productivity (also referred to as average productivity). To use).

  The number of touches in each work can be calculated from the work target data included in the work log data and the number of entries included in the product master 15 held by the business data server 12. At this time, the time stamp included in the merchandise master 15 is referred to, the number of entries at the time when each operation is performed is specified, and the number of entries is used to calculate the number of touches. This makes it possible to utilize work log data for a wide period.

  In addition, as already explained, there are cases where the work target data relating to one work includes products of a plurality of items. However, even in such a case, since the required time included in the work log data is the required time for each work, it cannot be decomposed into the time required for the work of the commodity of each item. For this reason, in this embodiment, the productivity for each product refers to all operations obtained by searching the work log data using the item of the product as a key (that is, all operations including the product of the item as a work target). Is obtained by dividing the total value of the number of touches for all commodities in the product by the total value of the time required for all the operations.

  For example, when a picking operation is performed on a product to be shipped to a certain store and three types of products A, B, and C are the objects of the picking operation, the time required for the operation recorded in the work log data is This is the time until the picking operation for all three types of products is completed. For this reason, if the productivity related to the product A is calculated from only this data, it is calculated by dividing the number of touches related to all three types of products by the required time. Actually, the product A can be included with other products as well as the products shipped to other stores. Therefore, based on the total number of touches of picking work for the product group including the product A and the total time required for those operations. Thus, the productivity for the product A is calculated.

  Next, details of S105 will be described with reference to FIG. 5, FIG. 6, FIG. 7, and FIG.

  FIG. 5 is a flowchart illustrating the productivity-by-product productivity calculation process performed by the statistical calculation processing unit 23 according to the embodiment of this invention.

  The statistical calculation processing unit 23 selects a product group in S501, and selects a work process in S502.

  In S503, using the product group selected in S501 by the statistical calculation processing unit 23 and the work process selected in S502, the product-specific productivity data 601 for each worker is calculated from the work log data.

  FIG. 6 is an explanatory diagram of the product-by-product productivity data 601 by work calculated by the statistical calculation processing unit 23 according to the embodiment of this invention.

  The worker-by-work-by-product-by-product productivity data 601 is data that is generated for calculation of the worker-by-worker-by-worker data and the work-by-product by-product productivity data 701, and is temporarily stored in the storage unit 30. Yes, it has at least an operator ID 602, a work process 603, a product code 604 as a key when filtering work, and an average productivity 605 of the work.

  FIG. 6 shows, as an example, the average productivity of each worker calculated from the actual picking work for the shipping destination to which the product A is shipped, and the shipping destination to which both the products A and B are shipped. The average productivity of each worker calculated from the actual picking work is shown. For example, depending on the positional relationship of the shelves on which the respective products are placed, productivity may be reduced when a group of products including products of a plurality of specific items is shipped to a common shipping destination. Based on the worker-specific work-by-product product-by-product productivity data 601, the productivity tendency depending on the combination of items in such a product group is also grasped.

  In S <b> 504, the statistical calculation processing unit 23 creates a work productivity distribution for the target product including the selected product of the work selected from the work-specific product-specific productivity data 601 by worker.

  In S505, the statistical calculation processing unit 23 calculates work-specific product-specific productivity data 701 from the productivity distribution created in S504. Product-specific productivity data 701 by work will be described with reference to FIGS.

  FIG. 7 is an explanatory diagram of work-specific product-specific productivity data 701 stored in the work-specific product-specific productivity data storage area 33 according to the embodiment of this invention.

  Product-by-work productivity data 701 includes at least a work process 702, a product code 703 that is used as a key when filtering work, an average value 704 of productivity, and a standard deviation 705. The work process 702 and the product code 703 correspond to the work process 603 and the product code 604 in FIG. 6, respectively. The productivity average value 704 and the standard deviation 705 are each calculated by a plurality of sets of work codes and product codes that specify product groups, which are calculated based on the product-specific productivity data 601 by work by worker. Mean values and standard deviations of worker productivity. The standard deviation is an example of an index indicating the variation in productivity, and another index indicating the variation (for example, variance) may be used.

  FIG. 8 is a distribution diagram showing the relationship between the productivity by work and the number of people created by the statistical calculation processing unit 23 according to the embodiment of the present invention.

  The horizontal axis of the distribution chart shown in FIG. 8 is the productivity related to a certain work (for example, picking) of a certain product group (for example, the commodity A), and the vertical axis is the number of workers corresponding to each productivity. For the average value μ, the workers distributed on the left side show lower productivity, and symmetrically, the workers distributed on the right side show higher productivity.

  In S506, the statistical calculation processing unit 23 determines whether or not there is an unselected work record, and if there is, returns to S502. As a result, S502 and the subsequent steps are repeatedly executed for the number of types of work processes stored in the work log data.

  In S507, the statistical calculation processing unit 23 determines whether there is an unselected product group, and if there is, returns to S501. As a result, S501 and the subsequent processing are repeatedly executed as many times as the number of all product groups that can occur based on the product codes stored in the product master 15.

  In S508, the statistical calculation processing unit 23 uses the worker-specific productivity data (not shown) obtained by integrating the worker-specific work-specific product-specific productivity data 601 created in S503 for each worker. The product-specific product-specific productivity data 701 created in step S504 is stored in the storage region 34, and the work-specific product-specific productivity data storage region 33 is stored.

In S106, on the premise that productivity is improved by giving guidance to the worker, the expected improvement effect amount calculation unit 24 indicates the expected productivity improvement effect from the product-specific productivity data 701 by work. Calculate the expected improvement effect amount. The expected improvement effect amount corresponds to the product code stored in the product master 15, the product shipping ratio of the product shipping ratio data 401 stored in S 103, the unit conversion factor, and the productivity for each product stored in S 105. It is calculated using the standard deviation of the data 701. When the product shipment ratio is r, the unit conversion coefficient is α, and the standard deviation is σ, the expected improvement effect amount Δ is calculated by, for example, the equation (1).
Δ = r × σ × (1 / α) (1)

  FIG. 9 is an explanatory diagram of expected improvement effect amount data 901 storing the expected improvement effect amount calculated by the statistical calculation processing unit 23 according to the embodiment of this invention.

  The expected improvement effect amount data 901 includes at least a work process 902, a product code 903 used as a key when filtering work, and a calculated expected improvement effect amount 904. The statistical calculation processing unit 23 repeats S106 for the product group specified from all product codes stored in the product master 15, and the expected improvement effect amount data 901 including the calculated expected improvement effect amount is stored in the storage area 36. save.

  A product group having a higher product shipment ratio r is more often handled in the day's work. The smaller the unit conversion coefficient α, the larger the average amount of work required to process one piece of product included in the product group in the work of the day. Also, the greater the standard deviation σ of work productivity for a product group, the greater the variation in work productivity (for example, standard deviation) for that product group for each worker. It is considered that there is much room for improvement in productivity by providing guidance to workers with low productivity. Therefore, by improving the productivity of work for a product group with a higher product shipment ratio r, a product group with a smaller unit conversion coefficient α, or a product group with a larger standard deviation σ, the total amount of work time for the day (ie, It is expected that the time until the completion of all work for all products scheduled for the day will be shortened. For this reason, as described above, the expected improvement effect amount Δ of the present embodiment is calculated by Expression (1) based on r, σ, and 1 / α. As a result, the expected improvement effect amount Δ is increased so that the expected improvement effect amount Δ of work for the product group having a higher product shipment ratio r, the product group having a smaller unit conversion coefficient α, and the product group having a larger standard deviation σ is increased. Δ is calculated.

  For example, in the first two records of the expected improvement effect amount data 901 in FIG. 9, the expected improvement effect amount of the picking work of the product group consisting of the product A is “6”, and the picking of the product group consisting of the product B is picked respectively. This indicates that the expected improvement effect amount of the work is “0.375”. In this case, it is expected that the effect of improving productivity is greater when the former picking work is instructed than the latter picking work. Further, referring to the eighth record in FIG. 9, the effect of improving the productivity of the inspection of the product group consisting of the products A and B is more effective than the guidance of the picking work of the product group consisting of the product A. Is expected to be large.

  However, the above calculation method is an example, and the expected improvement effect amount may be calculated by a method other than the above. For example, for any of the reasons described above, any one of r, σ, and 1 / α, or any two products can be used as the expected improvement effect amount.

  In S107, the statistical calculation processing unit 23 calculates work instruction allocation candidates based on the work result data 1001, work instruction data stored in S105, and expected improvement effect amount data 901 stored in S106.

  First, the teaching result data 1001 will be described with reference to FIG.

  FIG. 10 is an explanatory diagram of instruction result data 1001 stored in the instruction result data storage area 37 according to the embodiment of this invention.

  The instruction result data 1001 includes information on instruction assignment extracted from the work log data. Specifically, the instruction result data 1001 includes at least a worker ID 1002 for identifying the instructed worker, a work process 1003 for identifying the work process targeted by the instruction, and a key 1 for filtering the work. One or a plurality of product codes 1004, the average productivity 1005 of the instructed worker before the instruction of the operation, the productivity 1006 of the instructed operator after the instruction of the operation, the instructor (that is, the operation instructed A leader ID 1007 for identifying the person), an average productivity 1008 of the leader's work, and a guidance time 1009 of the work.

  Next, work guidance allocation will be described with reference to FIG.

  FIG. 11 is a flowchart showing a work guidance allocation calculation process executed by the statistical calculation processing unit 23 according to the embodiment of this invention.

  In S1101, the statistical calculation processing unit 23 assigns a work in charge to the worker. First, the statistical calculation processing unit 23 extracts workers who can work and workable time zones from the attendance management system 11. Next, the statistical calculation processing unit 23 calculates, from all the work instruction data, workers who satisfy the workable time zone and have high average productivity of the target work from the worker-specific productivity data. The average productivity of the target work is an average of the total productivity of each work including the target product.

  At this time, the statistical calculation processing unit 23 determines that the number of possible operations calculated by “average productivity × working time” of the worker's target work at least satisfies the worker's workable time zone for the target work. The assigned work is assigned to the worker so as to exceed the required number of work of the instruction data. The assignment in S1101 is temporarily performed and may be changed in S1105 as will be described later.

  In S1102, the statistical calculation processing unit 23 extracts a guidance target work from the work instruction data. Specifically, the statistical calculation processing unit 23 refers to the expected improvement effect amount data 901 and selects a work with a high expected improvement effect amount as the instruction target work. For example, the statistical calculation processing unit 23 may select a set of the work process 902 and the product code 903 having the highest expected improvement effect amount 904.

  In S1103, the statistical calculation processing unit 23 refers to the worker-specific productivity data, and selects a worker having a low average productivity of the guidance target work as a guidance target person (that is, a person to be instructed). For example, the statistical calculation processing unit 23 may select an operator having the lowest average productivity of the instruction target work.

  In S <b> 1104, the statistical calculation processing unit 23 selects an instructor, that is, an operator who provides guidance to the guidance target work. Here, the statistical calculation processing unit 23 executes predetermined statistical processing and calculation processing using the work result data and the guidance target work selected in S1103. Specifically, the statistical calculation processing unit 23 calculates a predetermined growth expectation index for a work that approximates the guidance target work. In this embodiment, the productivity improvement amount per hour calculated by “productivity improvement amount / instruction time” is used as a growth expected index.

  The productivity improvement amount is a difference between the productivity before guidance and the productivity after guidance, and indicates the magnitude of the effect of guidance. The work approximate to the guidance target work is a set including at least the same work process as the guidance target work and one or more same product codes.

  The statistical calculation processing unit 23 is a growth expectation index that is searched using at least the productivity before guidance that is high in productivity of the guidance target work from the worker-specific productivity data and close to the productivity of the guidance target person. Select high workers as instructors. For example, the statistical calculation processing unit 23 is a worker who has the highest growth expectation index among the workers whose productivity of the guidance target work satisfies a predetermined condition, or a condition in which the height of the growth expectation index is a predetermined condition. Among the workers who satisfy the above conditions, the worker who has the highest productivity of the work to be instructed, such as the worker with the highest productivity of the work to be instructed and the height of the expected growth index, is selected as the instructor. May be. This can be expected to improve productivity through work guidance.

  When there is no work approximated to the guidance result data 1001, the statistical calculation processing unit 23 sets at least a worker who has high productivity as a guidance target work as a leader. For example, the statistical calculation processing unit 23 may select an operator who has the highest productivity of the instruction target work as the instructor.

  In S <b> 1105, the statistical calculation processing unit 23 determines whether or not the target work can be assigned to a worker who has enough work even if the number of work of the leader in the time period instructed by the leader is zero. In this embodiment, a worker with sufficient work is a worker having a large difference between the number of possible tasks of the target worker and the required number of assigned tasks.

  For example, assuming that work guidance is assigned to the selected leader, the statistical calculation processing unit 23 sets the number of work of the leader in the time zone for performing the work guidance to 0 and is assigned to the leader. In spite of this, when work that cannot be performed by the instructor is given work guidance, if the work is newly assigned to a worker who has enough work, the number of required work of the worker who has enough work is possible. It may be determined whether or not the number of operations is exceeded. When the required number of operations exceeds the number of possible operations, it is determined that the target operation cannot be assigned to a worker who has a margin for the operation. In this case, the process returns to S1104, and another instructor is selected. On the other hand, if the required number of work does not exceed the possible number of work, it is determined that the target work can be assigned to a worker who has enough work. In this case, the operator selected in S1104 is determined as the instructor, the number of operations of the instructor is changed to 0, and the operation assigned to the instructor is newly assigned to an operator who has a margin for the operation. The work guidance assignment calculation process is completed. This avoids work delays in the entire warehouse due to guidance given by the instructor.

  In S108, the statistical calculation processing unit 23 determines whether or not there is a possibility that a dispatch delay may occur as a result of the work instruction assignment in S107. When the number of possible operations is less than the required number of operations, it is determined that there is a possibility that a shipping delay may occur. At the time when the work assignment in S103 is performed, the number of possible work of the instructor should not be less than the required number of work, but as a result of the work instruction assignment in S107, the production of the time when the work instruction of the instructor is assigned. Therefore, there are cases where the number of possible operations is reduced and the required number of operations is less than that. In such a case, it is determined that a shipping delay may occur.

  When there is a possibility that a shipping delay may occur, the statistical calculation processing unit 23 performs the reprocessing of S107 so that a shipping delay does not occur from the work instruction data and the guidance record data 1001. For example, the statistical calculation processing unit 23 changes the instructor to an instructor with the next highest expected growth index, changes the length of the instructing time to an instructing time that does not cause shipping delay, Perform processing such as changing to a worker with low performance.

  If it is determined in S108 that there is no shipping delay, calculation of work guidance assignment candidates is completed, and the process proceeds to S109.

  In the work guidance assignment calculation process, a plurality of work guidance assignment candidates may be calculated and held.

  In S109, the statistical calculation processing unit 23 causes the display unit 4 to display work instruction allocation candidates. Details will be described with reference to FIG.

  FIG. 12 is an explanatory diagram illustrating an example of an output screen displayed on the display screen of the display unit 4 according to the embodiment of this invention.

  The work instruction allocation output screen of the present embodiment provides, as output information, an instruction target person 1202, an instruction work 1203, one or a plurality of product codes 1204 that are used as keys when filtering the work, and instructions to the worker. It is configured to display an expected improvement effect 1205 calculated on the premise that productivity is improved, a leader 1206, a guidance available time 1207, and a growth expected index 1208 by guidance from the leader in the guidance possible time. Further, the output screen is provided with a function 1209 that sorts at least the output information in ascending order and descending order, and the user can select the information to be sorted and the order to be sorted by the operation using the input unit 3. When the user selects the decision button 1210 by an operation using the input unit 3, the work instruction assignment is completed, and the result is transmitted from the work instruction assignment apparatus 1 to each worker terminal (not shown).

  As shown in FIG. 12, the work instruction assigning apparatus 1 is shown in FIG. 2 in order to display a plurality of candidates such as a person to be guided 1202, a guidance work 1203, a product code 1204, an expected improvement effect 1205, and a leader 1206. The process can be executed multiple times. For example, when the work instruction assigning apparatus 1 executes the process shown in FIG. 2 for the first time, the work instruction assigning apparatus 1 selects a pair of a work process and a product group having the largest expected improvement effect amount, and the productivity is the lowest for the pair. You may select a worker as a guidance subject, and a worker with the highest productivity as a leader, respectively. Then, when the process shown in FIG. 2 is executed for the second time, a pair of a work process and a product group that has the second largest expected improvement effect is selected, and the worker who has the lowest productivity in relation to that group is instructed. As an instructor, the worker with the highest productivity may be selected as the instructor, or the combination of the work process and the product group with the largest expected improvement effect amount is selected, and the productivity is the second lowest for that group. You may select a worker as a guidance subject and a worker with the second highest productivity as a leader, respectively. In this way, by displaying a plurality of candidates obtained by repeating the process shown in FIG. 2 while changing the selection criteria, the user is given a choice, and the work and instructor that is convenient for the user is selected. Can be done.

  After completion of work instruction assignment, each worker executes the assigned work (S110).

  After the work is executed, the statistical calculation processing unit 23 updates the work log data and the teaching result data 1001 (S111).

  According to the above embodiment of the present invention, the unit of work is “work including a specific product”, and comparison is made not by work time but by “productivity” distribution, thereby improving the productivity of atypical work. High work is extracted. Specifically, for each product group / work process, create a distribution of productivity for each worker including the product, and extract the work with the highest improvement effect using the standard deviation and the shipment ratio of the product group. Then, the worker who should be instructed regarding the work is extracted. Guidance allocation candidate data including growth indicators for productivity improvement due to guidance, guidance time, and guidance is calculated based on guidance results data for workers with low improvement in productivity with high improvement work, and displayed on the screen Output. When the user operates the output screen for displaying the guidance assignment candidate data, the guidance assignment having a high work improvement effect is determined. As a result, in logistics shipping operations where work contents are atypical and workability factors cannot be disassembled into product units, work with high improvement effects is extracted, and workers with low target work ability are instructed to guide the entire warehouse. Productivity can be improved efficiently.

  In addition, according to the above-described embodiment, not only a single item of merchandise but also a product productivity improvement effect for a combination of merchandise of a plurality of items is calculated, and an appropriate worker is instructed. Can be assigned as As a result, it is also possible to improve the decrease in productivity that occurs when products of a plurality of specific items are shipped to a common shipping destination.

  In addition, this invention is not limited to the Example mentioned above, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described.

  Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Further, each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files for realizing each function is a memory, a hard disk drive, a storage device such as an SSD (Solid State Drive), or a computer-readable non-transitory data such as an IC card, an SD card, or a DVD. It can be stored in a storage medium.

  Further, the drawings show control lines and information lines that are considered necessary for explaining the embodiments, and not necessarily all control lines and information lines included in an actual product to which the present invention is applied. Not necessarily. Actually, it may be considered that almost all the components are connected to each other.

Claims (15)

A work instruction assignment system having a control unit, a storage unit connected to the control unit, and an output unit connected to the control unit,
The storage unit stores work log data indicating the contents of work performed in the past,
The controller is
When receiving an instruction to ship an item of a plurality of items, each worker is assigned to each operation specified by the work process for shipping the item of the plurality of items and the item of one or more items to be operated Create work order data,
Based on at least one of the shipping instruction and the work log data, the magnitude of the productivity improvement effect that can be expected by performing work guidance for each set of work process and one or more items included in the work target Calculate the expected improvement effect amount indicating
Based on the work log data, selecting an operator with low productivity regarding a set of a work process in which the expected improvement effect amount satisfies a predetermined condition and one or more items included in the work target as a guidance target person, Select a worker who is higher in productivity than the guidance target person as a leader, with respect to the combination of the work process and one or more items included in the work target,
Based on the work instruction data, it is determined whether or not a shipping delay occurs due to a decrease in productivity due to the work instruction by the leader.
In the output unit, when a shipment delay does not occur, a set of a work process in which the expected improvement effect amount satisfies a predetermined condition, one or more items included in the work target, the instructor, and the instructed person A work guidance assignment system characterized by outputting. The work instruction assignment system according to claim 1,
The controller is
Based on the shipping instruction, for each combination of one or more items, a shipping ratio is calculated that is a ratio of the number of articles of the one or more items with a common shipping destination to the total number of articles of all items shipped. ,
The expected improvement effect amount is calculated such that the higher the shipment ratio of the one or more items is, the larger the expected improvement effect amount of the set of the one or more items and the work process is larger. Teaching assignment system. The work instruction assignment system according to claim 2,
The control unit processes one piece of the one or more items based on the shipping ratio of the one or more items and the number of pieces per case of the one or more items. And calculating the expected improvement effect amount so that the expected improvement effect amount of the set of the one or more items and the operation process is larger as the average operation amount is larger. A work guidance assignment system characterized by that. The work instruction assignment system according to claim 3,
The information indicating the number of pieces per case of the article of the one or more items includes information specifying a period to be applied,
The productivity of each worker is the one or more items calculated based on the number of pieces per case of the article of the one or more items and the work log data for a period during which the product is applied. A work guidance assignment system characterized in that it is a work amount per unit time in a work including a target. The work instruction assignment system according to claim 1,
The control unit calculates a variation in productivity of a plurality of workers for each set of a work process and one or more items included in a work target based on the work log data, A work guidance assignment system, wherein the expected improvement effect amount is calculated so that the expected improvement effect amount is increased. The work instruction assignment system according to claim 1,
The storage unit is a guidance result data indicating a work process that is a target of work guidance performed by each worker in the past, one or more items included in the target of the work, and a degree of the effect of the work guidance. Hold further,
The control unit selects, as an instructor, an operator who satisfies an effect of work guidance on a set of a work process in which the expected improvement effect amount satisfies a predetermined condition and one or more items included in the work target satisfy the predetermined condition. Work guidance assignment system characterized by doing. The work instruction assignment system according to claim 1,
The said control part allocates the operation | work which becomes impossible when the said instructor performs the said operation instruction to another operator, The work instruction allocation system characterized by the above-mentioned. The work instruction assignment system according to claim 1,
The control unit selects a plurality of sets of one or more items included in a work process and a work target in which the expected improvement effect amount satisfies a predetermined condition, the guidance target person, and the leader,
The control unit, for each set of one or more items included in the work process and work target, the expected improvement effect amount that satisfies the predetermined condition, the target person and the instructor, the instructor Determine whether shipment delays will occur by conducting work guidance,
The control unit, in the output unit, the expected improvement effect amount determined that the shipping delay does not occur satisfies a predetermined number of work steps and work targets that satisfy a predetermined condition, the target person, and the guidance target A work guidance assignment system characterized by outputting a plurality of pairs with a leader. A work guidance assignment method executed by a computer system,
The computer system includes a control unit, a storage unit connected to the control unit, and an output unit connected to the control unit,
The storage unit stores work log data indicating the contents of work performed in the past,
The work instruction allocation method is:
When the control unit receives an instruction to ship an item of a plurality of items, each control specified by the work process for shipping the items of the plurality of items and the item of one or more items to be worked is performed. A first procedure for creating work instruction data for assigning each worker;
Productivity improvement that can be expected by the control unit performing work guidance for each set of a work process and one or more items included in a work target based on at least one of the shipping instruction and the work log data A second procedure for calculating an expected improvement effect amount indicating the magnitude of the effect of
Based on the work log data, the control unit provides guidance to a worker with low productivity related to a combination of a work process in which the expected improvement effect amount satisfies a predetermined condition and one or more items included in the work target. A third procedure for selecting as an instructor, an operator who is higher in productivity with respect to a set of the work process and one or more items included in the object of the operation than the instructor.
A fourth procedure for determining whether or not a shipment delay occurs due to a decrease in productivity caused by the instructor performing the operation guidance based on the operation instruction data;
The control unit has a work process in which the expected improvement effect amount satisfies a predetermined condition when no shipping delay occurs in the output unit, one or more items included in the work target, the instructor, and the guidance target And a fifth procedure for outputting a set with a person. The work instruction allocation method according to claim 9,
The control unit is a ratio of the number of articles of the one or more items common to the shipping destination to the total number of articles of all items shipped for each combination of one or more items based on the shipping instruction. The method further includes a sixth procedure for calculating the shipping ratio,
In the second procedure, the control unit increases the expected improvement effect amount such that the higher the shipment ratio of the one or more items, the greater the expected improvement effect amount of the set of the one or more items and the work process. A work instruction assigning method characterized by calculating an effect amount. The work instruction allocation method according to claim 10,
In the second procedure, the control unit is configured to control the one or more items based on the shipment ratio of the one or more items and the information indicating the number of pieces per case of the one or more items. An average work amount for processing one piece of the article is calculated, and the expected improvement effect amount of the set of the one or more items and work processes in which the average work amount is larger becomes larger as the expected improvement effect amount. A work instruction assignment method characterized by calculating an improvement effect amount. The work instruction assignment method according to claim 11,
The information indicating the number of pieces per case of the article of the one or more items includes information specifying a period to be applied,
The productivity of each worker is the one or more items calculated based on the number of pieces per case of the article of the one or more items and the work log data for a period during which the product is applied. A work guidance assignment method, characterized in that the work instruction amount is a work amount per unit time in a work including a target. The work instruction allocation method according to claim 9,
In the second procedure, the control unit calculates a variation in productivity of a plurality of workers for each set of a work process and one or more items included in a work target based on the work log data. The work instruction allocation method, wherein the expected improvement effect amount is calculated such that the expected improvement effect amount increases as the variation increases. The work instruction allocation method according to claim 9,
The storage unit is a guidance result data indicating a work process that is a target of work guidance performed by each worker in the past, one or more items included in the target of the work, and a degree of the effect of the work guidance. Hold further,
In the third procedure, the control unit performs a work in which an effect of work guidance relating to a set of a work process in which the expected improvement effect amount satisfies a predetermined condition and one or more items included in the work satisfies a predetermined condition. A work guidance assignment method characterized by selecting a person as a leader. The work instruction allocation method according to claim 9,
In the third procedure, the control unit assigns a work instruction that cannot be performed when the instructor performs the work instruction to another worker.

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