JP2009187449A - Method, program and device for processing inventory transition - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To efficiently support an early detection of an abnormal-inventory commercial goods by presenting the inventory transition. <P>SOLUTION: A device 1 for processing inventory transition includes a graph creating part 21 and a graph display part 22, the graph creating part 21 reads input inventory data and displays setting definition data 65 for prescribing the displaying area of a thumbnail from a storage device 13, each thumbnail is created by dividing the height value of each graph by the predetermined number so that each component of the inventory data falls in the lateral area of the thumbnail and the height of each graph of the inventory data falls in the vertical area of the thumbnail and each of the created thumbnail is converted to an image format, and the graph displaying part 22 displays each thumbnail of the image format on the display screen side-by-side. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an inventory transition processing method, an inventory transition processing program, and an inventory transition processing apparatus.

  In manufacturing, logistics, and retailing, inventory management of products handled is performed. In inventory management, it is important to detect and take measures against inventory abnormalities at an early stage, such as the occurrence of long-term residence inventory and out-of-stock items.

  Patent Document 1 describes that the inventory turnover rate is displayed as one of the management indexes. The inventory turnover rate is used as an index for inventory management. If the turnover rate is low, the stock movement is small and indicates the possibility of long-term staying stock.

Patent Document 2 describes that numerical values related to inventory such as inventory days are aggregated and displayed. FIG. 13 of Patent Document 2 shows a display example of the total value by a graph.
JP-A-2005-292878 JP 2007-213519 A

  Displaying the inventory transition of products is to determine which product inventory is abnormal, review the production plan to reduce the inventory of abnormal products, and make decisions such as leveraging or canceling sales. It is effective in performing. However, in the display of inventory data in the conventional inventory management, since many screens are referred to find an abnormality in the inventory and many operations are required, the discovery efficiency is not good.

  In the method of Patent Document 1, it is necessary to judge whether the inventory is good or bad based on only one measure of inventory turnover. Therefore, in the case of goods that can only be sold several times a year, such as maintenance parts and products with high hobbies, it is natural that the inventory turnover rate is low, and even such normal items look abnormal at first glance. .

  In the method of Patent Document 2, since the inventory transition is displayed one item at a time, the number of items (hundreds to thousands) managed by one person in charge is checked all the way to finding items with inventory abnormalities. It takes a long time.

  Therefore, the main object of the present invention is to efficiently support early detection of products that become abnormal stocks by solving the above-described problems and presenting inventory transitions.

In order to solve the above-mentioned problem, the present invention is an inventory transition processing device that displays inventory data indicating the quantity or amount of goods related to inventory in time series as thumbnails on a display screen of a display device,
The inventory transition processing device has a graph creation unit and a graph display unit,
The graph creation unit
Read the input inventory data and display setting definition data defining the display range of the thumbnail from the storage device,
The sum of one or more adjacent inventory data is calculated as the height of one graph of the inventory data so that the entire period of the inventory data falls within the horizontal range of the thumbnail, and each graph of the inventory data Each thumbnail is created by dividing the height value of each graph by a predetermined number so that the height falls within the vertical range of the thumbnail,
Convert each created thumbnail into an image format,
The graph display section is
The thumbnails in the image format are arranged on the display screen and displayed as a thumbnail list.
Other means will be described later.

  According to the present invention, it is possible to efficiently support early detection of a product that becomes an abnormal stock by presenting a stock transition.

  Hereinafter, an embodiment of an inventory transition processing apparatus to which the present invention is applied will be described in detail with reference to the drawings.

FIG. 1 is a configuration diagram illustrating an inventory transition processing apparatus. The inventory transition processing device 1 includes a processor 11, a main storage device 12, an external storage device 13, an input / output unit 14, and a display device 15.
The processor 11 is configured by a CPU (Central Processing Unit).
The main storage device 12 stores a graph creation unit 21, a graph display unit 22, a graph sort unit 23, a graph transformation unit 24, and a graph narrowing unit 25 as processing units that are read and executed by the processor 11. Details of each of these processing units will be clarified in the following description.
The external storage device 13 stores an image file 80. This image file 80 is a file for displaying a graph showing inventory transition.
The input / output unit 14 is a component for executing input / output to / from the outside of the inventory transition processing apparatus 1, and includes, for example, a keyboard and mouse as input means, a speaker as output means, and the like.
The display device 15 displays the display screen 30.

  In addition, the inventory transition processing device 1 in FIG. 1 stores an input file 50, a definition file 60, and a display file 70 in the external storage device 13.

The input file 50 shown in Table 1 is data relating to inventory, and is data that receives input to the inventory transition processing device 1. The input file 50 may accept input from the user via the input / output unit 14 or may accept input from another system such as an SCM (Supply Chain Management) system. The input file 50 includes inventory quantity input data 51, inventory amount input data 52, and merchandise gross profit input data 53.
The inventory quantity input data 51 is data focusing on the quantity of inventory. For a certain date of a certain product number, the actual production number, the actual inventory number, the actual sales number, the production plan number, the inventory plan number, and the sales plan. Data that associates numbers.
The inventory amount input data 52 is data focusing on the amount of inventory. For a certain product number, the actual production amount, the actual inventory amount, the actual sales amount, the planned production amount, the planned inventory amount, and the sales plan. It is data that associates amounts.
The product gross profit input data 53 is data indicating the gross profit amount for each product number.

The definition file 60 shown in Tables 2 and 3 is data input by an administrator or the like, and includes a product name definition table 61, a business definition table 62, a product category definition table 63, a product brand definition table 64, and display settings. It consists of definition data 65.
The product name definition table 61 indicates the product name corresponding to the product number for each product number.
The business definition table 62 indicates, for each business group, the category to which the product handled by the business group belongs by each code.
The product category definition table 63 shows the relationship between the product (product number) and the category (category code) to which the product belongs.
The product brand definition table 64 shows the relationship between the product (product number) and the brand (brand code) to which the product belongs.
The display setting definition data 65 indicates definitions necessary for display processing on the display screen 30. These definitions are defined by the size of the monitor that displays the display screen 30, the resolution of graphics related to display processing, and the like.

  The display file 70 shown in Table 4 is data for displaying a graph showing the inventory transition in time series. In this graph, the horizontal axis (X axis) is in the range of 1 to W, the vertical axis (Y axis) is in the range of 0 to H, and the unit of the numerical value is a pixel.

In the display file 70, the product-specific graph data 73 is data obtained by normalizing the actual number of stocks for each product number in the stock quantity input data 51 so as to be within the display screen 30. For example, the value of the product number “I001” having a height of 1 “68” indicates that a graph is drawn at (X, Y) = (1, 68). First, when the graph to be drawn is a line graph, the line passes through the intersection (1, 68). On the other hand, when the graph to be drawn is a bar graph, a bar graph having a height of 68 is displayed at the position X = 1.
Of the display file 70, the other graph data (business-specific graph data 71, category-specific graph data 72, brand-specific graph data 74) is focused on the product number of each product indicated by the product-specific graph data 73. This is the data normalized by taking the sum of the heights of the graph data for all the product numbers to which the element belongs and fitting it within the display screen 30.

  For example, the business-specific graph data 71 is data obtained by taking the sum for each business date and normalizing the stock of all products handled by the business group. Similarly, the category-specific graph data 72 is time-series inventory data for each product category, and the brand-specific graph data 74 is time-series inventory data for each product brand.

  Here, an example of interpretation of the graph value described in the display file 70 will be described. When the business graph data 71 is read and the height 1 corresponds to the time of January 1, the inventory amount of the business group “JGR001” is “80”, whereas the inventory amount of the business group “JGR002” Is “40”. Therefore, as of January 1, the business group “JGR001” has more inventory than the business group “JGR002”.

  On the other hand, when the height W corresponds to the time of March 31, the inventory amount of the business group “JGR001” is “20”, whereas the inventory amount of the business group “JGR002” is “50”. . Therefore, as of March 31, the business group “JGR001” has a smaller inventory than the business group “JGR002”.

Table 5 shows the normalization process of the graph data 73 for each product. The product-specific graph data 73 is created as follows.
First, an actual inventory quantity (may be an actual inventory price) for each date is extracted from the inventory quantity input data 51 (may be the inventory price input data 52).
Next, the total stock quantity for three days is totaled and grouped to the height of one graph. The three days are calculated by 120, which is the period (360 days) of the actual inventory amount divided by the number of horizontal pixels (W) of one thumbnail.
Then, by multiplying the graph height value (before normalization) by a predetermined multiplier, the graph height value (after normalization) is normalized. The predetermined multiplier is “number of vertical pixels of one thumbnail (H)” 90 ÷ “maximum value of graph height value (before normalization)”.

  In addition, in the division of regular difference (÷), if it cannot be divided, the decimal part may be rounded off. As another method, it is also possible to multiply a predetermined number by the value constituting the number (denominator) to be divided so that the quotient becomes an integer. For example, when the value obtained by totaling the actual inventory quantity for three days is divided, the value at both ends (the first day and the third day) is multiplied by a predetermined number (such as 0.2) to obtain the quotient Round to be an integer.

  FIG. 2 is a flowchart showing the inventory transition display process. It is assumed that the input file 50, the definition file 60, and the display file 70 are stored in the external storage device 13 as a premise for starting the display process.

  First, the graph creation unit 21 reads the input file 50 and creates a display file 70 based on the definition file 60 (S11). Then, the graph creation unit 21 converts the format of the display file 70 created in S11 into an image file 80 via a graph creation control or the like (S12). The graph display unit 22 displays the image file 80 converted in S12 on the display screen 30 as the thumbnail list 31 (FIG. 3) (S13).

  Here, the inventory transition processing device 1 receives an instruction operation for supporting discovery of a thumbnail corresponding to a product whose inventory has deteriorated from each thumbnail displayed in the thumbnail list 31 via the input / output unit 14. .

  When a graph sort instruction is received (S21, Yes), the graph sort unit 23 executes the arrangement (sort) of the thumbnails without changing the graph contents of the thumbnails displayed in the thumbnail list 31 (sort). S22). The thumbnail list 31 sorted in S22 returns to S13 and is displayed on the display screen 30.

When a graph deformation instruction is accepted (S23, Yes), the process proceeds to S24 when the graph deformation instruction is “feature point extraction”, and to S25 when the graph deformation instruction is “smoothing”. The thumbnail list 31 modified in S24 or S25 returns to S13 and is displayed on the display screen 30.
First, when “extraction of feature points” is instructed, the graph transformation unit 24 extracts feature points from the graphs of the respective thumbnails displayed in the thumbnail list 31 (S24), and updates the graph contents of the respective thumbnails. .
On the other hand, when “smoothing of graph” is instructed, the graph transformation unit 24 executes the smoothing process on the graph of each thumbnail displayed in the thumbnail list 31 (S25), and updates the graph contents of each thumbnail. To do.

  When an instruction to narrow down the graph is accepted (S26, Yes), it is updated to a detailed thumbnail list 31 relating to one thumbnail selected from the thumbnails displayed in the thumbnail list 31 (S27). The detailed thumbnail list 31 updated in S27 is returned to S13 and displayed on the display screen 30.

  When the graph detail display is received (S28, Yes), the graph display unit 22 displays the inventory transition graph 32 (FIG. 8) relating to the thumbnail selected from the thumbnail list 31 (S29). And the inventory transition processing apparatus 1 returns a process to S13. Note that if an end instruction (for example, clicking on the X icon at the upper right of the window) is received in the display state of S13, the inventory transition display process (FIG. 2) ends.

  The processing in FIG. 2 has been described above. The display process (S13) of the thumbnail list 31 is repeatedly executed every time an instruction (S21 to S29) is received, but the creation process (S11, S12) of the image file 80 constituting the thumbnail list 31 is performed only once. That's it. As a result, it is possible to save computer resources and shorten the processing time, so that it becomes easy to find a thumbnail indicating an abnormal inventory while appropriately changing the display contents of the thumbnail list 31. Furthermore, since the image file 80 can be used by other applications, the application range is wide.

  FIG. 3 is a screen diagram showing a thumbnail image showing inventory transition. FIG. 3A shows one thumbnail, and FIG. 3B shows a thumbnail list 31 in which a plurality of thumbnails are displayed side by side.

  The thumbnail in FIG. 3A displays the graph explanation column and the graph display column together. In the graph explanation column, information for explaining the time series graph of the inventory transition displayed in the graph display column is displayed. For example, the thumbnail of FIG. 3A shows a time-series graph of inventory transition for one product whose product name is “product” and whose product number is “I001”.

  The thumbnail list 31 in FIG. 3B is displayed on the display screen 30 in S13 in FIG. The thumbnail list 31 displays thumbnails side by side so as not to overlap each other. When the number of thumbnails is too large to fit within the display screen 30, a scroll bar for switching a part of thumbnails to be displayed is also displayed.

  FIG. 4 is an explanatory diagram showing thumbnail sorting processing. The left side of FIG. 4 shows before sorting, and the right side of FIG. 4 shows after sorting.

  Above the thumbnail list 31, a reception column for a graph sort instruction (S 21) grouped under the title “stock index value sort” is displayed. In the acceptance column, in addition to the product number as information that determines the tentative order before sorting, each inventory index value (inventory turnover rate, stock turnover period, crossover ratio) referenced during sorting is displayed to the right of each radio button. Is displayed.

  For example, it is assumed that “inventory turnover rate” is selected as the graph sort instruction (S21). The graph sorting unit 23 calculates the “inventory turnover rate” of each product for the product corresponding to each thumbnail in the thumbnail list 31, and determines the order of each thumbnail based on the result. For example, “Inventory turnover” is a parameter indicating an undesired state where the stock is stagnant as the numerical value is small, so that a smaller value of “Inventory turnover” is displayed first (above). Determine the order.

For example, the graph sorting unit 23 calculates an inventory index value exemplified below for each item.
・ The inventory turnover rate is calculated by “total value of actual sales amount / average value of actual inventory amount”. The lower the calculated inventory turnover rate, the higher the probability of abnormal inventory.
The inventory turnover period (in days) is calculated by “365 ÷ stock turnover rate” when the inventory data exists for 365 days. The inventory turnover period (monthly) is calculated by “12 ÷ stock turnover rate”. The longer each stock turnover period, the higher the probability of abnormal stock.
・ Intersection ratio is calculated by “Inventory turnover rate x Gross profit margin” or “Gross profit ÷ Average value of actual inventory value”. The lower the intersection ratio, the higher the possibility of abnormal inventory.

  FIG. 5 is an explanatory diagram showing a transformation process for the graph in the thumbnail graph display field. FIG. 5A shows a graph feature point extraction process (S24), and FIG. 5B shows a graph smoothing process (S25).

  In FIG. 5 (a), a point immediately before the stock quantity increases (a valley day of stock) is selected as a feature point. This characteristic point is the amount of inventory on the day before the day when the stock increased or the day before the day when production occurred. Then, the selected feature points are extracted, and the selected points are connected by spline interpolation or the like to deform the graph.

  In FIG. 5B, the slide width determined by the slide bar and the horizontal position of the icon of the slide bar is displayed in the slider column. When this slide bar is slid to the right, the slide width increases in conjunction. The slide width corresponds to the number of graph values in the moving average calculation for realizing the smoothing process. One graph value is updated with reference to a plurality of adjacent graph values in addition to the graph value. Therefore, the slide width is the number of graph values before update that is referred to in order to update one graph value. As the slide width is increased, the influence of one graph value on the graph is weakened, and the degree of smoothing is increased.

Table 6 shows an example of the moving average calculation.
For example, the actual inventory quantity on January 8 (after smoothing) is the average value of the actual inventory quantity (before smoothing) for three days (January 7, 8, 9) indicated by the slide width ((1000 + 800 + 600) ÷ 3 = 800).

  The boundary value (January 7 and January 15) is calculated as follows, for example. The actual inventory quantity for January 7 (after smoothing) requires the actual inventory quantity for three days (January 6, 7, 8) (before smoothing), but the inventory for January 6 The actual amount (before smoothing) is not available. Accordingly, the adjacent inventory actual quantity on January 7 (before smoothing) is assumed to be the same as that on January 6 and is calculated. That is, the actual inventory quantity on January 7 (after smoothing) is calculated as an average value ((1000 + 1000 + 800) ÷ 3 = 933).

  By the processing of FIG. 5A or 5B described above, a jagged component indicating a minute change is not visible from the graph, and a line indicating a rough tendency of the graph is easily seen. Then, with reference to the slope of the line at an arbitrary time in the transformed graph, if the slope is positive (upward graph), it can be determined that the inventory is abnormal. In addition, to make it easier to understand the slope of the line, it is possible to visually detect abnormalities in inventory by changing the color of the graph such as red if the slope at a given time is positive and blue if it is negative. It may be easier.

  FIG. 6 is an explanatory diagram showing a thumbnail list narrowing process (S27). The condition (degree) of narrowing becomes stricter in the order of FIG. 6 (a) → FIG. 6 (b) → FIG. 6 (c).

  In FIG. 6A, a thumbnail list 31 in which one thumbnail corresponds to one division is displayed. The thumbnail graph is created based on the business graph data 71. In FIG. 6A, when one thumbnail (business division A) is selected (double-clicked), the screen shifts to the display screen of FIG. 6B. Here, the focus moves to the display screen of FIG. 6B, but the display screen of FIG. 6A is left without being erased, so that the focus is changed from FIG. 6B to FIG. 6A. Can return smoothly.

  In FIG. 6B, a thumbnail list 31 in which one thumbnail corresponds to one category is displayed. The thumbnail graph is created based on the category-specific graph data 72. This thumbnail list 31 is narrowed down to categories handled by one business division (business division A) selected in FIG. In FIG. 6B, when one thumbnail (category C2) is selected (double-clicked), the screen shifts to the display screen of FIG.

  Table 7 shows a method of creating thumbnail graph data such that one thumbnail corresponds to one category. One category (JAN001) belongs to two products (product number = I001, I002). Therefore, the sum of the graph heights (67, 33 for the first row) of each product is the height of the graph before normalization of the category (JAN001) (100 for the first row). Then, by normalizing the height of the category (JAN001) graph (100 → 45 in the first line), a graph that fits in the graph display column of the thumbnail is created.

  In FIG. 6C, a thumbnail list 31 in which one thumbnail corresponds to one product is displayed. This thumbnail graph is created based on the product-specific graph data 73. The thumbnail list 31 is narrowed down to products belonging to one category (category C2) selected in FIG. 6B. In FIG. 6C, when one thumbnail (product X) is selected (double-clicked), the inventory transition graph 32 (FIG. 8) of the product is displayed (S29).

  As described above, the narrowing processing described with reference to FIG. 6 is performed in the order of business group → business unit → category → product. However, these attributes (business group, business division, category) and their order are merely examples, and various other attributes (such as brands shown in the graph data 74 by brand) can be defined in various ways. Inventory transitions can be viewed with various attributes (sections), and inventory transitions can be analyzed.

  FIG. 7 is an explanatory diagram showing a display form of a graph. This display form shows a time series graph of inventory transition displayed in the graph display column of thumbnails displayed in the thumbnail list 31 of FIG. In FIG. 6B and FIG. 6C, the total value of the inventory data of a plurality of products is displayed. The inventory data of each product as a component of the total value is displayed in a distinguishable format. As a result, it is possible to specify a product or the like that has a large influence (becomes a bottleneck) in the total value.

In FIG. 6A, the total value components are displayed as one value without showing them. For example, only the total value that is the sum of three inventory data (product item + product item + product item) is displayed.
In FIG.6 (b), the component of a total value is displayed for every goods. For example, three pieces of inventory data (product, product, and product) are displayed in a form that can be distinguished from each other.
In FIG. 6C, two types of components (a component that satisfies a predetermined condition and a component that does not satisfy the predetermined condition) are distinguished and displayed. The predetermined condition can be defined using an inventory index value or the like. For example, the condition “a product whose inventory rotation period is longer than one month” is set as a predetermined condition.

FIG. 8 is a screen diagram showing an inventory transition graph. The inventory transition graph 32 is displayed on the display screen 30 (S29). The inventory transition graph 32 includes a product name display field 108a, a display type selection field 108b, a graph display field 108c, and a numerical value display field 108d.
The product name display field 108 a displays the product name described in the product name definition table 61.
The display type selection field 108b allows the user to select which stock data to focus on from among the two types of stock data (stock quantity input data 51 and stock amount input data 52).
The graph display field 108c displays the numerical value of the inventory data designated in the product name display field 108a and selected in the display type selection field 108b in a graph format.
The numerical value display column 108d displays the numerical value displayed in the graph format of the graph display column 108c.

According to the embodiment described above, the following effects can be obtained.
The logistics department of a consumer goods manufacturer handles thousands of products. The task of finding out-of-stock items from the thousands of items is an important task in inventory management. In order to carry out this work, it is too costly to check the numerical value indicating the inventory transition from the table data.
Therefore, by using the narrowing function (see FIG. 6) and the sorting function (see FIG. 4) of this embodiment, candidate products having a high possibility of abnormal stock are found, and an abnormal graph is displayed from the graphs displayed as thumbnails. You can quickly find and find out of stock.
Since each thumbnail includes a graph display, abnormal stock can be found more quickly than numerical display. In the sort function, one stock index value can be selected from a plurality of types of stock index values. As a result, abnormalities that could not be read on a single scale, such as inventory turnover, could be read, and abnormal stock could be greatly reduced by early measures.

It is a block diagram which shows the inventory transition processing apparatus regarding one Embodiment of this invention. It is a flowchart which shows the display process of the inventory transition regarding one Embodiment of this invention. It is a screen figure which shows the thumbnail image which shows the inventory transition regarding one Embodiment of this invention. It is explanatory drawing which shows the sort process of the thumbnail regarding one Embodiment of this invention. It is explanatory drawing which shows the deformation | transformation process of the graph regarding one Embodiment of this invention. It is explanatory drawing which shows the narrowing-down process of the thumbnail list regarding one Embodiment of this invention. It is explanatory drawing which shows the display form of the graph regarding one Embodiment of this invention. It is a screen figure which shows the inventory transition graph regarding one Embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Inventory transition processing apparatus 11 Processor 12 Main storage apparatus 13 External storage apparatus 14 Input / output part 15 Display apparatus 21 Graph preparation part 22 Graph display part 23 Graph sort part 24 Graph deformation | transformation part 25 Graph narrowing-down part 30 Display screen 31 Thumbnail list 32 Inventory Transition graph 50 Input file 51 Inventory quantity input data 52 Inventory price input data 53 Product gross profit input data 60 Definition file 61 Product name definition table 62 Business definition table 63 Product category definition table 64 Product brand definition table 65 Display setting definition data 70 Display Files 71 Business-specific graph data 72 Category-specific graph data 73 Product-specific graph data 74 Brand-specific graph data 80 Image files

Claims (8)

An inventory transition processing method by an inventory transition processing apparatus that displays, as thumbnails, inventory data indicating the quantity or amount of goods related to inventory in time series on a display screen of a display device,
The inventory transition processing device has a graph creation unit and a graph display unit,
The graph creation unit
Read the input inventory data and display setting definition data defining the display range of the thumbnail from the storage device,
The sum of one or more adjacent inventory data is calculated as the height of one graph of the inventory data so that the entire period of the inventory data falls within the horizontal range of the thumbnail, and each graph of the inventory data Each thumbnail is created by dividing the height value of each graph by a predetermined number so that the height falls within the vertical range of the thumbnail,
Convert each created thumbnail into an image format,
The graph display unit
A method of inventory transition processing, wherein the thumbnails in the image format are arranged on the display screen and displayed as a thumbnail list. The inventory transition processing device further includes a graph sorting unit,
The graph sorting unit includes:
For each product corresponding to the inventory data, the inventory turnover value obtained by dividing the total value of the actual sales amount of each product by the average value of the actual inventory amount, and the inventory obtained by dividing the data amount of the inventory data of each product by the inventory turnover rate At least one of the rotation period value and the cross ratio value obtained by multiplying the inventory turnover rate and gross profit margin of each product is calculated as the inventory index value of each product, and the calculation result corresponds to the inventory data. And store it in the storage device,
When the inventory index value that is the scale of sorting is specified,
For the thumbnail list displayed by the graph display unit, the designated inventory index value is read from the storage device among the inventory index values corresponding to each thumbnail constituting the thumbnail list, and
2. The thumbnails constituting the thumbnail list are sorted based on the read inventory index value, and the sorted thumbnail list is displayed again on the graph display unit. The inventory transition processing method described. The inventory transition processing device further includes a graph deformation unit,
The graph transformation unit is
When instructed to display the inventory data for inventory valley days,
About the thumbnail list displayed by the graph display unit, from the graph of each thumbnail constituting the thumbnail list, either the day before the day when the stock increased or the day before the day when the production occurred Extract the corresponding graph height,
Transform each thumbnail graph by adding a graph line that complements the height of the extracted graph,
The inventory transition processing method according to claim 1, wherein the thumbnail list of each thumbnail including the deformed graph is displayed again on the graph display unit. The inventory transition processing device further includes a graph deformation unit,
The graph transformation unit is
When the smoothing instruction of the inventory data and the slide width that is the smoothing range are input,
For the thumbnail list displayed by the graph display unit, select the height of each graph of the thumbnail graphs constituting the thumbnail list in order,
Centering on the height of the selected graph, the height of the adjacent graph is extracted by the range of the slide width, and the moving average calculation using the average value of the extracted graph height as the height of the newly selected graph To transform the graph of each thumbnail,
The inventory transition processing method according to claim 1, wherein the thumbnail list of each thumbnail including the deformed graph is displayed again on the graph display unit. In the storage device, each product of the inventory data is stored in association with the attribute of each product,
The inventory transition processing device further includes a graph narrowing-down unit,
The graph narrowing-down part is
When product attributes are specified,
Extract a product group with the specified attributes, and configure thumbnails for each product that makes up the extracted product group, or for each lower attribute to which each extracted product belongs,
When the configured thumbnail is composed of a plurality of products, a thumbnail graph composed by summing up the sum of the inventory data of the plurality of products of the composition source is configured,
Redisplay the thumbnail list in which the individual thumbnails in which the graph is configured are arranged in the graph display unit,
When the re-displayed thumbnail is selected, when the selected thumbnail is composed of one product, the inventory transition graph of the product is displayed, and the selected thumbnail belongs to the lower order to which a plurality of products belong. The inventory transition processing method according to claim 1, wherein, when configured with attributes, the thumbnail list is reconfigured by using the lower attribute as an attribute of a newly designated product. The graph narrowing-down part is
6. The inventory transition processing method according to claim 5, wherein when a thumbnail composed of a plurality of products is displayed for a thumbnail graph, the plurality of products are displayed in a component that can be distinguished from each other.   An inventory transition processing program for causing a computer to execute the inventory transition processing method according to any one of claims 1 to 6. An inventory transition processing device that displays, as thumbnails, inventory data that indicates the quantity or amount of money related to product inventory in a time series,
The inventory transition processing device has a graph creation unit and a graph display unit,
The graph creation unit
Read the input inventory data and display setting definition data defining the display range of the thumbnail from the storage device,
The height of one graph of the inventory data is calculated from the sum of one or more adjacent inventory data such that each component of the inventory data falls within the horizontal range of the thumbnail, and each graph of the inventory data Each thumbnail is created by dividing the height value of each graph by a predetermined number so that the height of the graph falls within the vertical range of the thumbnail.
Convert each created thumbnail into an image format,
The graph display unit
An inventory transition processing apparatus, wherein the thumbnails in the image format are arranged on the display screen and displayed as a thumbnail list.

Images