Management apparatus, management method, and program

Abstract

To provide a management apparatus, a management method, and a program for estimating a quality guarantee period of inventory goods stored under high-humidity low-temperature conditions.SOLUTION: A management apparatus in a storage that stores articles, as inventory goods, under high-humidity low-temperature conditions includes: a receiving unit which accepts inventory goods delivered from a producer; and an estimation unit which estimates a quality guarantee period of the inventory goods, based on the inventory goods.SELECTED DRAWING: Figure 1A

Description

[Technical Field]

[0001] The present invention relates to a management device, a management method, and a program. [Background technology]

[0002] Traditionally, refrigerators and freezers have been used to keep foods that require temperature control, such as meat, fish, and vegetables, fresh. In general, enzyme activity in food is positively correlated with food temperature, so the lower the temperature at which food is stored, the easier it is to maintain freshness. In addition, the growth rate of mold and bacteria can be kept extremely slow at temperatures around 0°C.

[0003] However, when storage temperatures are around 0°C, for example, meat and seafood, which are 70% to 80% water, and vegetables, which are 80% to 90% water, will freeze. When water turns to ice, its volume expands, and the extracellular fluid in the food freezes first, forming large ice crystals, which destroy the cell membrane from the outside. Furthermore, when frozen food is thawed, the intracellular and intercellular fluids released from the broken cells leak out, causing a loss of taste components and nutrients along with the water, and the food itself will also become less chewy. Furthermore, when storing food, if the relative humidity is not higher than the food's moisture content, water vapor will escape from the food into the surrounding air, causing it to dry out.

[0004] However, if the temperature inside the storage facility is raised to prevent freezing inside temperature-controlled items such as food, the activity of enzymes that break down food will increase, making it impossible to maintain freshness for a long period of time.

[0005] Therefore, Patent Document 1 discloses an evaporator for a storage facility in which a cold air temperature and humidity changing unit including a crushed ice heat exchanger is placed between a first blower and a second blower, adjacent to the first blower and the second blower. This cold air temperature and humidity changing unit contains ice supplied from the ice crushing unit, so the basic cold air comes into contact with this ice and becomes cold air containing water vapor at around 0°C.

[0006] Furthermore, as the ice melts and the resulting water vaporizes, the storage cabinet becomes filled with water vapor, creating a high-humidity environment with an internal temperature of around 0°C and a relative humidity of around 100%. Therefore, the quality of food stored in the storage cabinet can be maintained by keeping it at around 0°C and a relative humidity of around 100%. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Japanese Patent Application Publication No. 2018-162967 Summary of the Invention [Problem to be solved by the invention]

[0008] As described above, storage facilities that can maintain items at around 0°C and a relative humidity of around 100% can maintain the freshness of stored food for a long period of time without deteriorating its quality, and can even improve the nutritional value and taste through aging.

[0009] Conventional foods could not be stored for long periods, so prices fluctuated greatly throughout the year, with large quantities distributed at low prices during the on-season when the food was harvested, and small quantities distributed at high prices during the off-season when the food was not harvested. However, by storing foods under high-humidity, low-temperature conditions, it is possible to store foods for much longer periods than before, and as a result, it is possible to maintain an average distribution volume throughout the year. This allows consumers to enjoy more stable market transactions, unlike conventional market transactions that were based on the assumption that long-term storage was not possible.

[0010] An object of the present invention is to provide a management device, a management method, and a program for estimating the quality assurance period of inventory items stored under high humidity and low temperature conditions. [Means for solving the problem]

[0011] That is, the present invention is as follows. [1] A management device in a storage facility that stores items as inventory under high humidity and low temperature conditions, a receiving unit that receives the inventory from the producer; An estimation unit that estimates a quality assurance expiration date of the inventory item based on the inventory item, Management device. [2] The estimation unit estimates the quality guarantee period based on at least one of the harvest date and storage date of the inventory item, the storage state of the inventory item, and information on the quality of the inventory item. The management device described in [1]. [3] the estimation unit further estimates at least one of information on the quality of the inventory items, information on the storage cost of the inventory items, information on the estimated shipping price of the inventory items, and information on the instability of the market price of the inventory items, depending on the storage period; The management device according to [1] or [2]. [4] the estimation unit estimates information about the quality of the inventory items based on at least one of the appearance of the inventory items when they are stored, the period from harvest to storage, the packaging style during storage, and the storage period; The management device described in [3]. [5] the estimation unit further estimates an appropriate shipping period for the inventory item based on at least one of information on the quality of the inventory item, information on the storage cost of the inventory item, information on the estimated shipping price of the inventory item, and information on instability of the market price of the inventory item, according to the storage period; The management device according to any one of [1] to [4]. [6] The system further includes a proposal unit that proposes shipping of the inventory items to the producer. The management device according to any one of [1] to [5]. [7] the proposal unit makes a shipping proposal for the inventory items based on at least one of an inventory increase rate of the inventory items, a storage period of the inventory items, instability of the market price of the inventory items, and a utilization rate of the storage warehouse; The management device described in [6]. [8] A management device in a storage facility that stores items as inventory under high humidity and low temperature conditions, receiving inventory from a producer; and estimating a shelf life of the inventory items based on the inventory items. Storage management method. [9] A management device for a storage facility that stores items as inventory under high humidity and low temperature conditions, receiving inventory from a producer; and estimating a quality assurance expiration date of the inventory item based on the inventory item. program. [Effects of the Invention]

[0012] According to the present invention, it is possible to provide a management device, a management method, and a program for estimating the quality assurance period of inventory items stored under high humidity and low temperature conditions. [Brief explanation of the drawings]

[0013] [Figure 1A] 1 is a diagram illustrating an example of a management system according to an embodiment of the present invention. [Figure 1B] 1 is a schematic perspective view showing one aspect of a storage cabinet according to an embodiment of the present invention. [Figure 2A] FIG. 2 is a block diagram showing one aspect of a management device according to the present embodiment. [Figure 2B] FIG. 10 is a diagram showing one example of in-fridge data. [Figure 2C] (a) Annual price information on the annual market price of a certain item in a certain year, and (b) annual trading volume information on the annual trading volume, were compiled based on a survey of the fruit and vegetable wholesale market. [Figure 2D]10A and 10B are diagrams illustrating examples of input and output of a quality assurance expiration date estimation model and examples of learning data for the quality assurance expiration date estimation model. [Figure 2E] This is an image of information on the quality of the goods, information on the storage cost of the goods, information on the estimated shipping price of the goods, and information on the instability of the market price, depending on the storage period. [Figure 2F] This is an image of information about inventory. [Figure 2G] This data is obtained by smoothing or averaging information on actual market prices. (a) A graph showing annual price information with a curve approximated by a fifth-order polynomial as a reference line, and (b) A graph showing annual price information with a moving average approximation curve with 21 intervals as a reference line. [Figure 3] 10 is a flowchart illustrating an example of an estimation process according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, an embodiment of the present invention (hereinafter referred to as "the present embodiment") will be described in detail with reference to the drawings as necessary, but the present invention is not limited to this, and various modifications are possible without departing from the spirit of the present invention. In the drawings, the same elements are given the same reference numerals, and redundant explanations will be omitted. Furthermore, positional relationships such as up, down, left, and right will be based on the positional relationships shown in the drawings unless otherwise specified. Furthermore, the dimensional ratios of the drawings are not limited to those shown in the drawings.

[0015] 1. Management System FIG. 1A is a schematic diagram showing a management system according to the present embodiment. As shown in FIG. 1A, an example of the management system according to the present embodiment may include storage cabinets 100a, 100b, and 100c (hereinafter simply referred to as "storage cabinet 100") for storing items under high-humidity and low-temperature conditions, a management device 200 in storage cabinet 100, a terminal 300a used by a user (producer) of storage cabinet 100, and a terminal 300b used by a consumer of the items stored in storage cabinet 100. The user of storage cabinet 100 is a person who stores items in storage cabinet 100, and may be a producer of the items or another distributor. When terminal 300a and terminal 300b are not distinguished from each other, they are also simply referred to as "terminal 300."

[0016] The management device 200 of this embodiment is a device that estimates the warranty expiration dates of items stored in a storage facility. In the example of FIG. 1A, the management device 200 is shown as a server connected to the storage facility 100 via a network N. This allows the management device 200 to simultaneously estimate the warranty expiration dates of items stored in multiple storage facilities 100a, 100b, and 100c located in various locations. Note that, although the following description will be given using the management device 200 as a server, the management device 200 of this embodiment is not limited to this. Specifically, the management device 200 may be provided for each storage facility 100 and may estimate the warranty expiration dates of the items stored in each storage facility 100.

[0017] In this embodiment, "stock items" refers to items stored in storage 100, and "goods" refers to items that are generally traded in the market. For example, taking lettuce as an example, lettuce traded in the general market corresponds to the goods in this embodiment, and lettuce stored in storage 100 corresponds to stock items in this embodiment. Therefore, "market price of goods" means the market price of goods (lettuce) that are generally traded in the market. In contrast, "shipping price of stock items" means the shipping price of stock items (lettuce) stored in storage 100.

[0018] There are no particular restrictions on the market prices and transaction volumes of goods traded in the open market, but for example, information disclosed by the Ministry of Agriculture, Forestry and Fisheries as part of the Fruit and Vegetable Wholesale Market Survey (daily survey) or other similar information can be used. Furthermore, annual market prices and transaction volumes can be shown as the prices and transaction volumes corresponding to each day from January 1st to December 31st based on the results of this daily survey (see Figure 2C). Figure 2C shows annual price information (a) on the annual market price of a certain item for a certain year, and annual transaction volume information (b) on the annual transaction volume, created based on the Fruit and Vegetable Wholesale Market Survey.

[0019] The management device 200 may receive various data such as in-storage environment information and inventory information from the storage 100, and may determine the quality assurance period of the stock items stored in the storage 100 based on the data. The management device 200 may also obtain information about the stock items and market data about the market prices and trading volumes of the items from another information processing device (not shown). Furthermore, the management device 200 may transmit the quality assurance period to the terminal 300b in response to a request from the terminal 300a, 300b, or may transmit a shipping proposal to the terminal 300a.

[0020] Fig. 1B is a schematic perspective view showing one embodiment of a storage facility. As shown in Fig. 1B, storage facility 100 may have a storage room 110 for accommodating items 160 and their packaging 170 to be stored under high-humidity, low-temperature conditions, a cooling evaporator 120 for maintaining the high-humidity, low-temperature conditions inside storage room 110, and a control device 130 for controlling cooling evaporator 120 and the like. Fig. 1B shows storage room 110 having a door 140 and sized to allow human entry, but the size of storage room 110 is not limited to this and may be one that is not intended for human entry.

[0021] The cooling evaporator 120 is an example of an air conditioner, and is not particularly limited as long as it can maintain high humidity and low temperature conditions inside the storage room 110. For example, the cooling evaporator 120 may have a water tank and a blower that blows air onto the water surface of the water tank to send moist air into the storage room, or may have a blower that blows air onto the ice to send moist air into the storage room.

[0022] The relative humidity under the high-humidity, low-temperature conditions of this embodiment is preferably 80% RH or higher, 85% RH or higher, 90% RH or higher, or 95% RH or higher. The upper limit of the relative humidity is not particularly limited, but is preferably 100% RH or lower. The temperature under the high-humidity, low-temperature conditions of this embodiment is preferably -1°C or higher, -0.5°C or higher, or -0.3°C or higher. The upper limit of the temperature is preferably 1°C or lower, 0.5°C or lower, or 0.3°C or lower.

[0023] The control device 130 may instruct the cooling evaporator 120 to control the temperature and humidity in the storage room 110, record the current and past temperature and humidity trends obtained from the sensor 150, manage information related to the entry and exit of the items 160 stored in the storage room 110, and transmit this information to the management device 200. In addition to this, the control device 130 may also transmit information related to the temperature and humidity in the storage room 110 and other information obtained by various sensors provided in the storage room 110 to the management device 200.

[0024] The cooling / evaporating device 120 may include an ultraviolet irradiation device that irradiates ultraviolet rays onto the water or ice used to create the high-humidity, low-temperature environment. By irradiating ultraviolet rays, the number of bacteria contained in the cooling / evaporating device 120 can be reduced, and the spread of bacteria by the cooling / evaporating device 120 can be suppressed.

[0025] 1B shows an example in which the control device 130 is provided on the door 140 so that the user can easily check the temperature and humidity as well as manage the entry and exit of goods, but the present invention is not limited to this, and the control device 130 may be located in a place separate from the storage room 110 as long as it is connected to the storage room 110 via the network N. Furthermore, when a management device 200 is provided for each storage room 100, the management device 200 may be integrated with the control device 130.

[0026] Furthermore, the terminal 300 is not particularly limited as long as it is a terminal used by a user who stores items in the storage facility 100 or a consumer of the items stored in the storage facility 100, but may be, for example, a smartphone, tablet, desktop, laptop, or other computer.

[0027] 2A to 2G, the hardware configuration and functional configuration of management device 200 will be further described. Note that management device 200 is not particularly limited and may be, for example, a desktop, laptop, or other computer. Furthermore, management device 200 is a general-purpose computer and may be configured as a single computer or may be configured as multiple computers on network N.

[0028] 2A, the following describes the hardware configuration and functional configuration of the management device 200. The management device 200 includes, for example, a processor 210, a communication interface 220, an input / output interface 230, a memory 240, a storage 250, and one or more communication buses 260 for interconnecting these components.

[0029] The processor 210 is not particularly limited, but may be, for example, one or more central processing units (C PU), MPU, GPU, microprocessor, processor core, multiprocessor, Logic circuits (hardware) and specialized circuits formed in integrated circuits, including ASIC and FPGA. Code contained in a program stored in storage 250 by a circuit for use, or It may be a process, function, or method implemented by instructions.

[0030] Specifically, as shown in FIG. 2A, the processor 210 includes a reception unit 211, an estimation unit 212, and a 2, the proposal unit 213, and the output unit 214.

[0031] The communication interface 220 transmits and receives various data to and from other devices via the network N. The communication may be performed either wired or wirelessly, and any communication protocol may be used as long as mutual communication is possible. For example, the communication interface 220 may be implemented as hardware such as a network adapter, various communication software, or a combination of these.

[0032] Network N may be, but is not limited to, an ad-hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), a portion of the Internet, a portion of the public switched telephone network (PSTN), a cellular network, ISDNs, wireless LANs, LTE, CDMA, Bluetooth, satellite communications, etc., or a combination thereof. A network may include one or more networks.

[0033] The input / output interface 230 may include an input device for inputting various operations to the management device 200, and an output device for outputting processing results processed by the management device 200. For example, the input / output interface 230 may include information input devices such as a keyboard, a mouse, and a touch panel, and an information output device such as a display. Note that the management device 200 may receive predetermined inputs and execute predetermined outputs by connecting an external input / output interface 230. In the example shown in FIG. 1B, for example, the sensor 150 and the control device 130 of the storage 100 may function as external information input devices for the management device 200.

[0034] The sensor 150 is not particularly limited, but examples thereof include a temperature and humidity sensor, an oxygen concentration sensor, a carbon dioxide concentration sensor, an ethylene gas sensor, etc. Using these sensors, the state inside the refrigerator can be recorded in the refrigerator data 251.

[0035] The goods and inventory items are not particularly limited as long as they are generally stored at low temperatures, and examples include food ingredients, fresh flowers, etc. Food ingredients include not only food ingredients before cooking such as meat, fish, and vegetables, but also food ingredients after pre-processing for cooking and cooked dishes.

[0036] The memory 240 temporarily stores the program loaded from the storage 250. The memory 240 provides a working area for the processor 210. Various data generated during program execution is also temporarily stored. 40 may be, for example, a DRAM, SRAM, DDR RAM or other random access solid state It may be a high-speed random access memory such as a storage device, or a combination of these. Good too.

[0037] The storage 250 stores programs, each functional unit, models for various estimation processes, and various data. The storage 250 may be, for example, one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or nonvolatile memories such as other nonvolatile solid-state storage devices, or a combination thereof. Another example of the storage 250 may be one or more storage devices installed remotely from the processor 210.

[0038] 2B shows an example of the inside data 251. The inside data 251 records information measured by various sensors, information determined by the reception unit 211 or the estimation unit 211, information acquired by the acquisition unit 212, etc. Furthermore, each functional unit may acquire information required for various processes from the inside data 251.

[0039] The "storage ID" is an identifier for uniquely identifying a storage facility when multiple storage facilities exist in different regions. The "storage environment information" records information about high and low humidity environments such as temperature and humidity, as well as other information about the environment inside the storage facility such as oxygen concentration. The storage environment information may be time-series data. Furthermore, the "inventory information" records information about the inventory status, such as information about the entry and exit of items into the storage facility 100.

[0040] Furthermore, the "inventory information" may include information such as an "inventory item ID," which is an identifier for uniquely identifying an inventory item, and information such as the "entry date and time," "quality at time of entry," "quantity," "quality guarantee expiry date," "shipment date and time," "quality at time of exit," "shipment price information," and "storage status" associated with each inventory item. In addition, if the item is an agricultural product, the harvest date may be recorded, and if the item is a cooked or pre-processed food ingredient, the cooking date may be recorded.

[0041] The "quality assurance date" is a date estimated by the estimation unit 212, which will be described later. The estimation unit 212 may determine the quality assurance date based on the goods to be stored, their condition, and the time elapsed since the harvest date. The quality assurance date indicates the date by which a certain level of quality is guaranteed for goods stored under high-humidity, low-temperature conditions, and may be an estimated freshness retention date or an estimated optimum ripening date.

[0042] Since foodstuffs and other items gradually deteriorate after harvest and are difficult to store for long periods of time, foodstuffs brought to the market are immediately priced and traded, as shown in the Ministry of Agriculture, Forestry and Fisheries' Fruit and Vegetable Wholesale Market Survey mentioned above. In other words, in normal wholesale market transactions, foodstuffs are not stored for long periods of time before being traded, even though their freshness decreases. However, in this embodiment, a long storage period can be ensured by storing them under high-humidity, low-temperature conditions. Therefore, there is no need to trade them immediately after harvest, and they can be traded within their quality guarantee period.

[0043] However, there is no known method for estimating the period until which a certain level of quality is guaranteed when stored under high humidity and low temperature conditions. Therefore, in this embodiment, the period until which quality is guaranteed when stored under high humidity and low temperature conditions is estimated and recorded in the "Quality Guarantee Period."

[0044] This allows the time required for transactions to be secured within the quality guarantee period, making it possible to distribute food ingredients at stable prices and distribution volumes without being affected by temporary fluctuations in price and transaction volume, such as price hikes and declines in transaction volume due to poor harvests caused by natural disasters, or price drops and shipment suspensions due to good harvests.In particular, even for fresh foods, long-term storage of one, two, or even more months is possible, making it possible to stabilize market prices and transaction volumes.

[0045] "Quality at time of arrival" and "quality at time of departure" refer to the quality at the time of arrival or departure, and may indicate the grade or class of the food material, or may further include information on ingredients such as nutritional content. Here, "grade" refers to a rating of shape, color, taste, etc., and generally includes ratings classified as special, excellent, good, or A to C, or special excellent, or specially selected. "Class" refers to a rating of size, and generally includes size ratings classified as L, M, S, etc.

[0046] Such quality may be recorded as imaging data of the product or quality evaluated from the imaging data using a quality evaluation model, or may be recorded as a value evaluated using a known component meter such as a sugar content meter. The quality evaluation model is not particularly limited as long as it can evaluate the quality of an ingredient based on an appearance image of the ingredient or other item, and any conventionally known model can be used. Furthermore, such a quality evaluation model may be created by machine learning using learning data that associates image data of the ingredient with its quality evaluation.

[0047] The "storage condition" may include the packaging condition of the product. For example, in the case of lettuce, information such as whether the lettuce is stored as is, whether it is covered with a film that may have holes, or whether it is stored in a box such as a cardboard box may be included. Depending on the food ingredient, the storage condition may allow for even longer storage.

[0048] 2C shows an example of the market condition data 252. The market condition data 252 may record information on market trends and conditions, supply and demand fluctuations, trends, etc., such as annual price information (a) on the annual market price and annual trading volume information (b) on the annual trading volume for each type of commodity such as lettuce, tomatoes, strawberries, etc. For example, the annual trading volume information (b) may include the trading volume for each central wholesale market in each region, such as Hokkaido, Tohoku, Kanto, and Kansai.

[0049] Furthermore, the annual price information regarding annual market prices acquired by the acquisition unit 212 may include, in addition to actual market price information as shown in FIG. 2C, market price information obtained by smoothing or averaging such actual market price information. FIG. 2G shows data obtained by smoothing or averaging actual market price information. (a) of FIG. 2G is a graph of annual price information with a curve approximated by a fifth-order polynomial as a reference line, and (b) is a graph of annual price information with a moving average approximation curve with 21 intervals as a reference line.

[0050] The process of creating an approximate curve (baseline) for a graph of annual price information in this way is also called curve fitting. The approximate curve (baseline) created in this way is also included in the "annual price information related to the annual market price of goods" in this embodiment as data obtained by leveling or averaging the information on actual market prices.

[0051] 1.1. Reception department The reception unit 211 receives the receipt of goods from producers. For example, a user who has received goods in the storage 100 registers the stored inventory in the control device 130. The reception unit 211 acquires information regarding the registration of the inventory via the network N, assigns an inventory ID, and records the entry date, quantity, and quality assurance expiration date in the in-storage data 251 in association with the inventory ID. Furthermore, when the reception unit 211 acquires, as information regarding the registration of the inventory, the harvest date, storage condition, images at the time of entry and information regarding quality based on the images, or other information regarding quality, the reception unit 211 may record such information as the quality at the time of entry.

[0052] 1.2. Estimation part The estimation unit 212 estimates the warranty expiration date of an item based on the item. The estimation unit 212 may, for example, use a warranty expiration date estimation model to set the warranty expiration date based on the type of inventory received, without any particular limitation. FIG. 2D shows examples of input and output of the warranty expiration date estimation model and examples of training data for the warranty expiration date estimation model. As shown in FIG. 2D , a warranty expiration date estimation model capable of outputting a warranty expiration date that maintains a predetermined quality according to the receiving date may be created by machine learning based on the receiving date, the shipping date, and the quality at the time of shipping in past storage performance data. Furthermore, the model may estimate the warranty expiration date taking into account the quality at the time of receiving, the storage condition, the harvest date, and the like. The machine learning algorithm is not particularly limited, but examples of Random Forest and Support Vector Machine (SVM) may be used.

[0053] In the estimation process of the quality assurance expiration date by the estimation unit 212, the quality assurance expiration date may be estimated based on at least one of the harvest date and storage date of the stock item, the storage state of the stock item, and information on the quality of the stock item. By taking the harvest date and storage date into consideration, the length of the period from harvest to storage can be evaluated, and the shorter the period from harvest to storage, the longer the quality assurance expiration date may be set. Furthermore, the way in which cold air reaches the product varies depending on the storage state, and if the product is stored in a state where it is not directly exposed to cold air, the quality assurance expiration date may be set longer. Furthermore, the better the quality of the product at the time of storage, the longer the quality assurance expiration date may be set.

[0054] Such a quality assurance expiration date estimation model is not particularly limited, but can be created by machine learning using, as learning data, data that at least corresponds the type of stocked item and the storage period, such as inventory information in the warehouse data 251.

[0055] 2E, the estimation unit 212 may further estimate at least one of information on the quality of the product, information on the storage cost of the product, information on the estimated shipping price of the product, and information on market price instability, depending on the storage period. In particular, the estimation unit 212 may estimate information on the quality of the product based on at least one of the appearance of the product when it is stored, the period from harvest to storage, the packaging style during storage, and the storage period. In these estimation processes, a model similar to the quality expiration date estimation model can be used.

[0056] Furthermore, the estimation unit 212 may further estimate an appropriate shipping period for the item based on at least one of information on the quality of the item, information on the storage cost of the item, information on the estimated shipping price of the item, and information on market price instability, depending on the storage period, as shown in Fig. 2E. Here, the appropriate shipping period may be a period when the quality and shipping price of the inventory item are high, the storage cost is low, and the risk of price fluctuations is small.

[0057] 1.3. Proposal Department The proposal unit 213 may make a shipping proposal for the product to the terminal 300a of the producer. For example, the shipping proposal may present information on the quality of the stock item, an estimated shipping price, a storage cost, or an appropriate shipping period.

[0058] The proposal unit 213 may make an out-of-stock proposal based on at least one of the inventory increase rate of the inventory item, the storage period of the item, the instability of the market price, and the utilization rate of the storage facility. For example, if the inventory increase rate of the inventory item is high, if the storage period of the item is long, if there is a high risk of instability of the market price, or if the utilization rate of the storage facility is high, the proposal unit 216 may make an out-of-stock proposal to the producer. In addition, at this time, the proposal unit 216 may further add discount information to the information regarding the out-of-stock proposal and make the out-of-stock proposal.

[0059] 1.4.Output Section The output unit 214 may output various information in the management system of this embodiment to an information output device of the management device 200, or to an information output device such as a display of a terminal 300a used by a user (producer) of the storage facility 100 or a terminal 300b used by a consumer.

[0060] For example, the output unit 214 may output the quality assurance expiration date estimated as described above in response to a request from a consumer or a producer, thereby enabling the producer using the terminal 300a to know the quality assurance expiration date and make a decision on shipping.

[0061] In addition, the output unit 214 may further output, as reference information, information on the quality of the product, information on the storage cost of the product, information on the estimated shipping price of the product, and information indicating the instability of the market price, as shown in Fig. 2E. This allows the producer using the terminal 300a and the consumer using the terminal 300b to know whether the shipping price during the storage period is relatively low or high by comparing it with the price outside the storage period, and use this information in making trading decisions.

[0062] Furthermore, information indicating market price instability is not particularly limited, but may include, for example, information on the fluctuation range of market prices, the frequency of outliers, and the risk of overproduction or natural disasters, etc. By presenting such information, it can be used to make decisions about trading inventory items at the shipping price during the storage period.

[0063] Furthermore, the output unit 214 may further output information about the warehouse storing the inventory items and / or the logistics costs for delivering the inventory items. Examples of information about the warehouse include operational data and cleanliness information about the warehouse, inventory information, and the usage costs of the warehouse depending on the storage period. Examples of information about inventory include the number of inventory items, the rate of increase in inventory, the percentage of inventory items in the warehouse or the vacancy rate of the warehouse, the storage period of the inventory items, and the percentage of long-term storage inventory items. An example of information about inventory is shown in FIG. 2F. Examples of information about logistics costs include the logistics route from the warehouse to the delivery destination and the logistics costs associated with using that route. This allows the storage costs and logistics costs to be used in determining inventory transactions.

[0064] The output unit 214 may further output traceability data of the inventory items. The traceability data is not particularly limited, but may include, for example, information about the producer, information about the quality of the item at the time of receiving and leaving the warehouse, information about the storage period, tracking information about distribution, etc.

[0065] 1.5. Operation Processing Next, the operation of the management device 200 will be described.

[0066] FIG. 3 shows a flowchart of the process from managing the warranty period to determining the shipping price. As shown in FIG. 3, in step S11, the reception unit 211 executes a warehousing reception to receive information about the goods to be stored. In step S12, the estimation unit 212 estimates the warranty period based on the information about the goods, and in step S13, the estimation unit 212 may further estimate at least one of information about the quality of the goods, information about the storage costs of the goods, information about the estimated shipping price of the goods, and information about market price instability, depending on the storage period. Finally, in step S14, a shipping proposal may be made to the producer, if necessary.

[0067] 2.Management method The management method of this embodiment is a management device in a storage facility that stores items under high-humidity and low-temperature conditions, The method includes the steps of receiving goods from a manufacturer and estimating the quality guarantee expiration date of the goods based on the goods.

[0068] Note that the specific aspects of the method of this embodiment have been described above in the operational processing, so detailed description thereof will be omitted here.

[0069] 3. Program The program of this embodiment causes a management device in a storage facility that stores items under high humidity and low temperature conditions to perform the steps of accepting items from producers and estimating the quality assurance expiration date of the items based on the items.

[0070] The program may be recorded on a readable recording medium. Note that the specific aspects of the processing executed by the program of this embodiment have been described above in the operational processing, and therefore detailed description thereof will be omitted here. [Explanation of symbols]

[0071] 100...relative humidity, 100, 100b, 100c...storage, 110...storage room, 120...cooling evaporator, 130...control device, 140...door, 150...sensor, 160...item, 170...package, 200...management device, 210...processor, 211...management unit, 212...acquisition unit, 213...determination unit, 214...output unit, 215...reception unit, 216...proposal unit, 220...communication interface, 230...input / output interface, 240...memory, 250...storage, 251...warehouse data, 252...market data, 260...communication bus, 300, 300a, 300b...terminal

Claims

1. A management device in a storage facility that stores items as inventory under high humidity and low temperature conditions, a receiving unit that receives the inventory from the producer; An estimation unit that estimates a quality assurance expiration date of the inventory item based on the inventory item, Management device.

2. The estimation unit estimates the quality assurance expiration date based on at least one of the harvest date and storage date of the inventory item, the storage state of the inventory item, and information on the quality of the inventory item. The management device according to claim 1 .

3. the estimation unit further estimates at least one of information on the quality of the inventory items, information on the storage cost of the inventory items, information on the estimated shipping price of the inventory items, and information on the instability of the market price, depending on the storage period; The management device according to claim 1 .

4. the estimation unit estimates information about the quality of the inventory items based on at least one of the appearance of the inventory items when they are stored, the period from harvest to storage, the packaging style during storage, and the storage period; The management device according to claim 3 .

5. the estimation unit further estimates an appropriate shipping period for the inventory item based on at least one of information on the quality of the inventory item, information on the storage cost of the inventory item, information on the estimated shipping price of the inventory item, and information on instability of the market price of the inventory item, depending on the storage period; The management device according to claim 1 .

6. The system further includes a proposal unit that proposes shipping of the inventory items to the producer. The management device according to claim 1 .

7. the proposal unit makes a shipping proposal for the inventory items based on at least one of an inventory increase rate of the inventory items, a storage period of the inventory items, instability of the market price of the inventory items, and a utilization rate of the storage warehouse; The management device according to claim 6.

8. A management device in a storage facility that stores items as inventory under high humidity and low temperature conditions, receiving inventory from a producer; and estimating a shelf life of the inventory items based on the inventory items. Storage management method.

9. A management device for a storage facility that stores items as inventory under high humidity and low temperature conditions, receiving inventory from a producer; and estimating a quality assurance expiration date of the inventory item based on the inventory item. program.

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