CN106651028B - Multi-warehouse self-adaptive warehouse management method and device based on RFID (radio frequency identification) tag - Google Patents
Multi-warehouse self-adaptive warehouse management method and device based on RFID (radio frequency identification) tag Download PDFInfo
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- CN106651028B CN106651028B CN201611189139.0A CN201611189139A CN106651028B CN 106651028 B CN106651028 B CN 106651028B CN 201611189139 A CN201611189139 A CN 201611189139A CN 106651028 B CN106651028 B CN 106651028B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
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- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/0008—General problems related to the reading of electronic memory record carriers, independent of its reading method, e.g. power transfer
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Abstract
The invention discloses a multi-warehouse self-adaptive warehouse management method and device based on RFID labels. The method comprises the following steps: (1) acquiring the storage information of recent articles; (2) for each article or each type of article, acquiring the storage position grade, the storage condition type and the logistics weight of the article or each type of article according to the warehousing information; (3) and determining warehouse information of the goods to be warehoused according to the storage position grade, the storage condition type, the logistics weight and the inventory condition. The device comprises: the RFID label that attaches to on needing storage article, set up RFID label read write line, lower computer and the host computer on warehouse and commodity circulation orbit. The invention can analyze the logistics and storage conditions in a recent period of time, dynamically adjust and optimize the storage and the inventory among a plurality of warehouses, and can obtain the following beneficial effects of optimizing the logistics, saving mileage and reducing the failure reporting rate.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a multi-warehouse self-adaptive warehouse management method and device based on RFID labels.
Background
With the development of online shopping, the warehousing and logistics industry is also in an explosive growth trend. The management of warehousing and logistics requires the development of modern management methods and devices to meet the development of the warehousing and logistics industry.
Rfid (radio Frequency identification) technology, also called radio Frequency identification, is a communication technology that can identify a specific target and read and write related data through radio signals without establishing mechanical or optical contact between an identification system and the specific target. The system has wide application in the aspects of identity documents and access control, supply chain and inventory tracking, automobile charging, theft prevention, production control, asset management and the like.
However, in the warehouse management, the RFID tag is only used as a record, and the storage condition cannot be effectively managed to improve the efficiency and quality of the warehouse service.
Disclosure of Invention
Aiming at the defects or improvement requirements of the prior art, the invention provides a multi-warehouse self-adaptive warehouse management method and device based on RFID tags, aiming at planning the warehouse service of articles in a self-adaptive manner by utilizing the warehouse information recorded by the RFID tags, thereby solving the technical problem that the existing RFID tag records cannot effectively manage the storage condition and improve the efficiency and quality of the warehouse service.
In order to achieve the above object, according to one aspect of the present invention, there is provided a multi-warehouse adaptive warehouse management method based on RFID tags, including the steps of:
(1) acquiring storage information of recent articles: recording the storage information of each article in a near period of time through the RFID tags and corresponding RFID tag readers arranged in the storage area and the logistics area;
(2) for each article or each type of article, acquiring the storage position grade, the storage condition type and the logistics weight of the article or each type of article according to the warehousing information acquired in the step (1);
(3) and (3) determining warehouse information of goods to be warehoused according to the storage position grade, the storage condition type, the logistics weight and the inventory condition obtained in the step (2).
Preferably, in the multi-warehouse adaptive warehouse management method, the warehouse information in step (1) includes logistics information, warehouse entry and exit information, warehouse conditions, and damage states;
the logistics information comprises a logistics track before warehousing and a logistics track after ex-warehouse; the warehousing information comprises warehousing time and ex-warehouse time of each article; the storage conditions comprise temperature, humidity, illumination conditions and package reinforcement rating; the damaged state includes intact and damaged.
Preferably, in the multi-warehouse adaptive warehouse management method, the location grade in step (2) is obtained according to the following method:
w1, acquiring warehousing and ex-warehousing information of each article in the articles or the classified articles in the time period, and extracting warehousing time and ex-warehousing time of each article;
w2, for each article, calculating the storage duration of the article according to the warehousing time and the ex-warehousing time of each article acquired in the step W1;
w3, calculating the arithmetic mean of the storage time lengths of the items or the classes of the items according to the storage time lengths of the items obtained in the step W2;
w4, according to the average storage time length of the items or the category items obtained in the step W3, obtaining the item position grade of the items or the category according to the principle that the longer the average storage time length is, the lower the position grade is.
Preferably, in the multi-warehouse adaptive warehouse management method, the storage condition categories in step (2) include, but are not limited to, cold chain categories, low-temperature and high-humidity categories, normal-temperature drying categories, constant-temperature and constant-humidity categories, light-shielding categories, vulnerable categories and/or normal categories; the method comprises the following steps:
c1, according to the storage conditions obtained in the step (1), counting the damage rates of the articles or the classified articles under different storage condition categories;
specifically, for each article, the stored humidity, temperature, illumination condition and reinforcement grade are obtained according to the stored information; when the humidity, the temperature, the illumination condition and the reinforcement level are simultaneously combined with the conditions of the storage category, the storage category is used as the stored article of the storage category; counting the damage state of the class of the stored article, and calculating the damage report rate of the article or the class of the article under the storage condition class according to the following formula:
wherein P is the report rate, NsNumber of articles in a damaged state, NwThe number of articles in good condition;
c2, according to the failure rate of the items or the categories in the step C1 in different storage states, determining the storage categories of the items according to the principle that the failure rate is from low to high.
Preferably, in the method for managing multi-warehouse adaptive warehousing, the logistics weight in step (2) includes a warehouse logistics weight and an ex-warehouse logistics weight, and is obtained according to the following method:
acquiring an origin, a storage place, a destination, a warehousing mileage and a delivery mileage of the article or the classified article in the time period according to the logistics information of the article or the classified article acquired in the step (1);
the origin is an article warehousing source place; the storage place is a place where the article storage place is stored; the destination is a direct destination place after the goods are taken out of the warehouse; the warehousing mileage is the mileage between the origin place and the warehousing place; the ex-warehouse mileage is the mileage between a warehousing place and a destination;
and counting the proportion of each origin of the articles or the classified articles as the warehousing logistics weight of the origin, and counting the proportion of each destination of the articles or the classified articles as the ex-warehousing logistics weight of the destination.
Preferably, in the multi-warehouse adaptive warehouse management method, the warehouse information in step (3) includes a warehouse number and a warehouse area. The warehouse number uniquely marks a specific warehouse; the storage areas are different areas in the warehouse.
Preferably, the multi-warehouse adaptive warehouse management method specifically includes the following steps (3):
s1, selecting all the cargo bins meeting the storage conditions according to the storage condition types;
s2, calculating estimated logistics mileage stored in each warehouse according to the logistics weight obtained in the step (2) for the warehouse selected in the step S1, and selecting the warehouse number of the warehouse with the smallest estimated logistics mileage as warehouse information of the goods to be warehoused; when the estimated logistics mileage of the plurality of warehouses is the same, selecting the warehouse number of the warehouse with the minimum stock as the warehouse information of the goods to be warehoused; the estimated logistics mileage is calculated according to the following method:
LP＝Lr+∑αLc
wherein L isPTo estimate the logistics mileage, LrThe mileage between the location of the goods to be warehoused and the location of the warehouse is shown as α, the ratio of each kind of goods or each kind of goods in the goods to be warehoused is shown as LcThe weighted ex-warehouse mileage of each article or each type of article in the goods to be warehoused is calculated;
the weighted ex-warehouse mileage is calculated according to the following method:
Lc＝∑βLm
wherein L iscFor weighted outbound mileage β is the outbound logistic weight of the item or item of the category to the destination, LmThe mileage between the location of the warehouse and the destination is taken as the mileage;
and S3, allocating storage positions for the warehouse marked by the warehouse number obtained in the step S2 according to the stock condition and the position grade of each article in the goods to be warehoused.
Preferably, in the multi-warehouse adaptive warehousing management method, when the stock amount is less than the preset threshold, the storage locations are allocated by using an item priority policy in step S3, that is, for each item, the location with the highest storage rank among all available storage locations is selected as the storage location of the item; when the stock quantity is larger than the threshold value, a position priority strategy is adopted to allocate the storage position, namely for each item, the position with the highest storage grade is selected as the storage position of the item from all the storage positions with the storage grades higher than or equal to the storage grade of the item; and the storage grade of the storage position is determined according to the access convenience degree of the position and the principle that the more convenient the storage grade is higher.
According to another aspect of the present invention, there is provided an RFID tag-based multi-warehouse adaptive warehouse management device, including:
the system comprises an RFID tag (1) attached to articles to be stored, an RFID tag reader-writer (2) arranged on a warehouse and a logistics track, a lower computer (3) and an upper computer (4);
the RFID label is in induction connection with the RFID label reader-writer, and the lower computer (3) is in signal connection with the RFID label reader-writer (2); the upper computer (4) is in signal connection with the lower computer (3).
Preferably, the RFID tag reader/writer (2) of the multi-warehouse management device is configured to sense the RFID tag (1), read the storage information of the RFID tag, and acquire the warehouse information of the article;
the lower computer (3) is used for recording the storage information of the articles recorded by the RFID reader-writer (2) in a specified time period;
and the upper computer (4) is used for acquiring warehouse information of the articles to be warehoused according to the record of the lower computer (3).
Generally speaking, compared with the prior art, the technical scheme of the invention can dynamically adjust and optimize the storage and the stock among a plurality of warehouses due to the analysis of the logistics and the storage conditions in the recent period of time, thereby obtaining the following beneficial effects of optimizing the logistics, saving the mileage and reducing the damage reporting rate.
Drawings
FIG. 1 is a flow chart of a multi-warehouse adaptive warehouse management method based on RFID tags according to the present invention;
fig. 2 is a schematic structural diagram of the multi-warehouse adaptive warehouse management device based on RFID tags according to the present invention.
The same reference numbers will be used throughout the drawings to refer to the same or like elements or structures, wherein: 1 is an RFID label, 2 is an RFID label reader-writer, 3 is a lower computer, and 4 is an upper computer.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The invention provides a multi-warehouse self-adaptive warehousing management method based on RFID tags, which comprises the following steps as shown in figure 1:
(1) acquiring storage information of recent articles: recording the storage information of each article in a near period of time through a high-frequency RFID label and corresponding RFID label readers arranged in a storage area and a logistics area;
the warehousing information comprises logistics information, warehousing conditions and damage states;
the logistics information comprises a logistics track before warehousing and a logistics track after ex-warehouse; the warehousing information comprises warehousing time and ex-warehouse time of each article; the storage conditions comprise temperature, humidity, illumination conditions and package reinforcement rating; the damaged state includes intact and damaged.
(2) For each article or each type of article, acquiring the storage position grade, the storage condition type and the logistics weight of the article or each type of article according to the warehousing information acquired in the step (1);
the position grade is obtained according to the following method:
w1, acquiring warehousing and ex-warehousing information of each article in the articles or the classified articles in the time period, and extracting warehousing time and ex-warehousing time of each article;
w2, for each article, calculating the storage duration of the article according to the warehousing time and the ex-warehousing time of each article acquired in the step W1;
w3, calculating the arithmetic mean of the storage time lengths of the items or the classes of the items according to the storage time lengths of the items obtained in the step W2;
w4, according to the average storage time length of the items or the category items obtained in the step W3, obtaining the item position grade of the items or the category according to the principle that the longer the average storage time length is, the lower the position grade is.
The storage condition category comprises but is not limited to a cold chain category, a low-temperature high-humidity category, a normal-temperature drying category, a constant-temperature constant-humidity category, a light-shading category, a vulnerable category and/or a common category; the method comprises the following steps:
c1, according to the storage conditions obtained in the step (1), counting the damage rates of the articles or the classified articles under different storage condition categories;
specifically, for each article, the stored humidity, temperature, illumination condition and reinforcement grade are obtained according to the stored information; when the humidity, the temperature, the illumination condition and the reinforcement level are simultaneously combined with the conditions of the storage category, the storage category is used as the stored article of the storage category; counting the damage state of the class of the stored article, and calculating the damage report rate of the article or the class of the article under the storage condition class according to the following formula:
wherein P is the report rate, NsNumber of articles in a damaged state, NwThe number of articles in good condition;
c2, according to the failure rate of the items or the categories in the step C1 in different storage states, determining the storage categories of the items according to the principle that the failure rate is from low to high.
The logistics weight comprises an in-warehouse logistics weight and an out-warehouse logistics weight, and is obtained according to the following method:
acquiring an origin, a storage place, a destination, a warehousing mileage and a delivery mileage of the article or the classified article in the time period according to the logistics information of the article or the classified article acquired in the step (1);
the origin is an article warehousing source place; the storage place is a place where the article storage place is stored; the destination is a direct destination place after the goods are taken out of the warehouse; the warehousing mileage is the mileage between the origin place and the warehousing place; the ex-warehouse mileage is the mileage between the warehousing place and the destination.
And counting the proportion of each origin of the articles or the classified articles as the warehousing logistics weight of the origin, and counting the proportion of each destination of the articles or the classified articles as the ex-warehousing logistics weight of the destination.
(3) And (3) determining warehouse information of goods to be warehoused according to the storage position grade, the storage condition type, the logistics weight and the inventory condition obtained in the step (2).
The warehouse information comprises a warehouse number and a warehousing area. The warehouse number uniquely marks a specific warehouse; the storage areas are different areas in the warehouse.
The method comprises the following specific steps:
s1, selecting all the cargo bins meeting the storage conditions according to the storage condition types;
s2, calculating estimated logistics mileage stored in each warehouse according to the logistics weight obtained in the step (2) for the warehouse selected in the step S1, and selecting the warehouse number of the warehouse with the smallest estimated logistics mileage as warehouse information of the goods to be warehoused; when the estimated logistics mileage of the plurality of warehouses is the same, selecting the warehouse number of the warehouse with the minimum stock as the warehouse information of the goods to be warehoused; the estimated logistics mileage is calculated according to the following method:
LP＝Lr+∑αLc
wherein L isPTo estimate the logistics mileage, LrThe mileage between the location of the goods to be warehoused and the location of the warehouse is shown as α, the ratio of each kind of goods or each kind of goods in the goods to be warehoused is shown as LcThe weighted ex-warehouse mileage of each article or each type of article in the goods to be warehoused is calculated;
the weighted ex-warehouse mileage is calculated according to the following method:
Lc＝∑βLm
wherein L iscFor weighted outbound mileage β is the outbound logistic weight of the item or item of the category to the destination, LmThe mileage between the location of the warehouse and the destination is taken as the mileage;
and S3, allocating storage positions for the warehouse marked by the warehouse number obtained in the step S2 according to the stock condition and the position grade of each article in the goods to be warehoused.
Specifically, when the stock quantity is smaller than a preset threshold value, an item priority strategy is adopted to allocate storage positions, namely for each item, the position with the highest storage grade is selected as the storage position of the item from all available storage positions; and when the stock quantity is larger than the threshold value, allocating the storage position by adopting a position priority strategy, namely selecting the position with the highest storage grade as the storage position of each item from all the storage positions with the storage grades higher than or equal to the storage grade of the item.
And the storage grade of the storage position is determined according to the access convenience degree of the position and the principle that the more convenient the storage grade is higher.
The invention provides a multi-warehouse self-adaptive warehousing management device based on RFID tags, as shown in FIG. 2, comprising:
the system comprises an RFID tag 1 attached to articles to be stored, an RFID tag reader-writer 2 arranged on a warehouse and a logistics track, a lower computer 3 and an upper computer 4;
the RFID label is in induction connection with the RFID label reader-writer, and the lower computer 3 is in signal connection with the RFID label reader-writer 2; the upper computer 4 is in signal connection with the lower computer 3.
And the RFID tag reader-writer 2 is used for sensing the RFID tag 1, reading the storage information of the RFID tag and acquiring the storage information of the article. Preferably, the RFID tag 1 includes a storage module for storing warehousing information, including logistics information, warehousing conditions, and damage status. The logistics information comprises a logistics track before warehousing and a logistics track after ex-warehouse; the warehousing information comprises warehousing time and ex-warehouse time of each article; the storage conditions comprise temperature, humidity, illumination conditions and package reinforcement rating; the damaged state includes intact and damaged.
And the lower computer 3 is used for recording the storage information of the articles recorded by the RFID reader-writer 2 in a specified time period. Preferably, the upper computer 4 is used for acquiring warehouse information of the articles to be warehoused according to the record of the lower computer 3. Preferably the warehouse information comprises a warehouse number, and a warehousing area; the warehouse number uniquely marks a specific warehouse; the storage areas are different areas in the warehouse.
The following are examples:
example 1
An adaptive multi-warehouse warehousing management method based on RFID tags, as shown in FIG. 1, includes the following steps:
(1) acquiring storage information of recent articles: recording the storage information of each article in a near period of time through a high-frequency RFID label and corresponding RFID label readers arranged in a storage area and a logistics area;
the warehousing information comprises logistics information, warehousing conditions and damage states;
the logistics information comprises a logistics track before warehousing and a logistics track after ex-warehouse; the warehousing information comprises warehousing time and ex-warehouse time of each article; the storage conditions comprise temperature, humidity, illumination conditions and package reinforcement rating; the damaged state includes intact and damaged.
(2) For each article or each type of article, acquiring the storage position grade, the storage condition type and the logistics weight of the article or each type of article according to the warehousing information acquired in the step (1);
the position grade is obtained according to the following method:
w1, acquiring warehousing and ex-warehousing information of each article in the articles or the classified articles in the time period, and extracting warehousing time and ex-warehousing time of each article;
w2, for each article, calculating the storage duration of the article according to the warehousing time and the ex-warehousing time of each article acquired in the step W1;
w3, calculating the arithmetic mean of the storage time lengths of the items or the classes of the items according to the storage time lengths of the items obtained in the step W2;
w4, according to the average storage time length of the items or the category items obtained in the step W3, obtaining the item position grade of the items or the category according to the principle that the longer the average storage time length is, the lower the position grade is.
The storage condition category comprises but is not limited to a cold chain category, a low-temperature high-humidity category, a normal-temperature drying category, a constant-temperature constant-humidity category, a light-shading category, a vulnerable category and/or a common category; for example, seafood and ice cream are cold chain; the fresh vegetables are in low-temperature and high-humidity type; the metal product is dried at normal temperature; red wine and cheese are of constant temperature and humidity type; the chemicals are light-resistant; the glass product is a vulnerable type.
The method comprises the following steps:
c1, according to the storage conditions obtained in the step (1), counting the damage rates of the articles or the classified articles under different storage condition categories;
specifically, for each article, the stored humidity, temperature, illumination condition and reinforcement grade are obtained according to the stored information; when the humidity, the temperature, the illumination condition and the reinforcement level are simultaneously combined with the conditions of the storage category, the storage category is used as the stored article of the storage category; counting the damage state of the class of the stored article, and calculating the damage report rate of the article or the class of the article under the storage condition class according to the following formula:
wherein P is the report rate, NsNumber of articles in a damaged state, NwThe number of articles in good condition;
c2, according to the failure rate of the items or the categories in the step C1 in different storage states, determining the storage categories of the items according to the principle that the failure rate is from low to high.
The logistics weight comprises an in-warehouse logistics weight and an out-warehouse logistics weight, and is obtained according to the following method:
acquiring an origin, a storage place, a destination, a warehousing mileage and a delivery mileage of the article or the classified article in the time period according to the logistics information of the article or the classified article acquired in the step (1);
the origin is an article warehousing source place; the storage place is a place where the article storage place is stored; the destination is a direct destination place after the goods are taken out of the warehouse; the warehousing mileage is the mileage between the origin place and the warehousing place; the ex-warehouse mileage is the mileage between the warehousing place and the destination.
And counting the proportion of each origin of the articles or the classified articles as the warehousing logistics weight of the origin, and counting the proportion of each destination of the articles or the classified articles as the ex-warehousing logistics weight of the destination.
(3) And (3) determining warehouse information of goods to be warehoused according to the storage position grade, the storage condition type, the logistics weight and the inventory condition obtained in the step (2). The goods to be warehoused in this example were 50% red wine and 50% cheese in quantity.
The warehouse information comprises a warehouse number and a warehousing area. The warehouse number uniquely marks a specific warehouse; the storage areas are different areas in the warehouse.
The method comprises the following specific steps:
s1, selecting all the cargo bins meeting the storage conditions according to the storage condition types; all constant temperature and humidity warehouses are selected in the embodiment.
S2, calculating estimated logistics mileage stored in each warehouse according to the logistics weight obtained in the step (2) for the warehouse selected in the step S1, and selecting the warehouse number of the warehouse with the smallest estimated logistics mileage as warehouse information of the goods to be warehoused; when the estimated logistics mileage of the plurality of warehouses is the same, selecting the warehouse number of the warehouse with the minimum stock as the warehouse information of the goods to be warehoused; the estimated logistics mileage is calculated according to the following method:
LP＝Lr+∑αLc
wherein L isPTo estimate the logistics mileage, Lrα is the mileage between the location of the goods to be warehoused and the location of the warehouse, Lc is the weighted leaving mileage of each article or each type of article in the goods to be warehoused, namely the proportion of red wine is 0.5, and the proportion of cheese is 0.5.
The weighted ex-warehouse mileage is calculated according to the following method:
Lc＝∑βLm
wherein L iscFor weighted outbound mileage β is the outbound logistic weight of the item or item of the category to the destination, LmThe mileage between the location of the warehouse and the destination is taken as the mileage;
and S3, allocating storage positions for the warehouse marked by the warehouse number obtained in the step S2 according to the stock condition and the position grade of each article in the goods to be warehoused.
Specifically, when the stock quantity is smaller than a preset threshold value, an item priority strategy is adopted to allocate storage positions, namely for each item, the position with the highest storage grade is selected as the storage position of the item from all available storage positions; and when the stock quantity is larger than the threshold value, allocating the storage position by adopting a position priority strategy, namely selecting the position with the highest storage grade as the storage position of each item from all the storage positions with the storage grades higher than or equal to the storage grade of the item.
And the storage grade of the storage position is determined according to the access convenience degree of the position and the principle that the more convenient the storage grade is higher.
According to the method of the embodiment, logistics management of department store e-commerce is optimized, storage efficiency is improved by about 25%, and the loss reporting rate is reduced by about 18%.
Example 2
The invention provides a multi-warehouse self-adaptive warehousing management device based on RFID tags, as shown in FIG. 2, comprising:
the system comprises an RFID tag 1 attached to articles to be stored, an RFID tag reader-writer 2 arranged on a warehouse and a logistics track, a lower computer 3 and an upper computer 4;
the RFID label is in induction connection with the RFID label reader-writer, and the lower computer 3 is in signal connection with the RFID label reader-writer 2; the upper computer 4 is in signal connection with the lower computer 3.
And the RFID tag reader-writer 2 is used for sensing the RFID tag 1, reading the storage information of the RFID tag and acquiring the storage information of the article. The RFID tag 1 comprises a storage module for storing warehousing information including logistics information, warehousing conditions and damage states. The logistics information comprises a logistics track before warehousing and a logistics track after ex-warehouse; the warehousing information comprises warehousing time and ex-warehouse time of each article; the storage conditions comprise temperature, humidity, illumination conditions and package reinforcement rating; the damaged state includes intact and damaged.
And the lower computer 3 is used for recording the storage information of the articles recorded by the RFID reader-writer 2 in a specified time period. And the upper computer 4 is used for acquiring warehouse information of the articles to be warehoused according to the record of the lower computer 3. The warehouse information comprises a warehouse number and a warehousing area; the warehouse number uniquely marks a specific warehouse; the storage areas are different areas in the warehouse.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (5)
1. A multi-warehouse self-adaptive warehouse management method based on RFID tags is characterized by comprising the following steps:
(1) acquiring storage information of recent articles: recording the storage information of each article in a near period of time through the RFID tags and corresponding RFID tag readers arranged in the storage area and the logistics area; the warehousing information comprises logistics information, warehousing conditions and damage states;
the logistics information comprises a logistics track before warehousing and a logistics track after ex-warehouse; the warehousing information comprises warehousing time and ex-warehouse time of each article; the storage conditions comprise temperature, humidity, illumination conditions and package reinforcement rating; the damage state comprises intact and damaged;
(2) for each article or each type of article, acquiring the storage position grade, the storage condition type and the logistics weight of the article or each type of article according to the warehousing information acquired in the step (1);
the position grade is obtained according to the following method:
w1, acquiring warehousing and ex-warehousing information of the article or each article in the class of articles in the period of time, and extracting warehousing time and ex-warehousing time of the article or each article in the class of articles;
w2, for each article, calculating the storage duration of the article according to the warehousing time and the ex-warehousing time of each article acquired in the step W1;
w3, calculating the arithmetic mean of the storage time lengths of the items or the classes of the items according to the storage time lengths of the items obtained in the step W2;
w4, obtaining the position grade of the item or the category of the item according to the average storage time length of the item or the category of the item obtained in the step W3 and the principle that the longer the average storage time length is, the lower the position grade is;
the storage condition category comprises but is not limited to a cold chain category, a low-temperature high-humidity category, a normal-temperature drying category, a constant-temperature constant-humidity category, a light-shading category, a vulnerable category and/or a common category;
the logistics weight comprises an in-warehouse logistics weight and an out-warehouse logistics weight, and is obtained according to the following method:
acquiring the origin, storage, destination, warehousing mileage and ex-warehouse mileage of the article or the class of articles in the time period according to the logistics information of the article or the class of articles in the time period acquired in the step (1);
the origin is an article warehousing source place; the storage place is a place where the article storage place is stored; the destination is a direct destination place after the goods are taken out of the warehouse; the warehousing mileage is the mileage between the origin place and the warehousing place; the ex-warehouse mileage is the mileage between a warehousing place and a destination;
counting the proportion of each origin of the article or the class of articles as the warehousing logistics weight of the origin, and counting the proportion of each destination of the article or the class of articles as the ex-warehouse logistics weight of the destination;
(3) and (3) determining warehouse information of goods to be warehoused according to the storage position grade, the storage condition type, the logistics weight and the inventory condition obtained in the step (2).
2. The multi-warehouse adaptive warehouse management method according to claim 1, wherein the storage condition category in the step (2) is obtained as follows:
c1, counting the damage rate of the article or the class of articles under different storage condition categories according to the storage conditions obtained in the step (1);
specifically, for each article, the stored humidity, temperature, illumination condition and reinforcement grade are obtained according to the stored information; when the humidity, the temperature, the illumination condition and the reinforcement level are simultaneously combined with the conditions of the storage category, the storage category is used as the stored article of the storage category; counting the damage state of the class of the stored article, and calculating the damage report rate of the article or the class of the article under the storage condition class according to the following formula:
wherein P is the report rate, NsNumber of articles in a damaged state, NwThe number of articles in good condition;
c2, according to the failure rate of the items or the categories in the step C1 in different storage states, determining the storage categories of the items according to the principle that the failure rate is from low to high.
3. The multi-warehouse adaptive warehouse management method according to claim 1, wherein the warehouse information in step (3) comprises a warehouse number and a warehousing area; the warehouse number uniquely marks a specific warehouse; the storage areas are different areas in the warehouse.
4. The multi-warehouse adaptive warehousing management method according to claim 1, wherein the step (3) is specifically:
s1, selecting all the cargo bins meeting the storage conditions according to the storage condition types;
s2, calculating the estimated logistics mileage stored in each warehouse according to the logistics weight obtained in the step (2) for the warehouse selected in the step S1, and selecting the warehouse number of the warehouse with the minimum estimated logistics mileage as the warehouse information of the goods to be warehoused; when the estimated logistics mileage of the plurality of warehouses is the same, selecting the warehouse number of the warehouse with the minimum stock as the warehouse information of the goods to be warehoused; the estimated logistics mileage is calculated according to the following method:
LP＝Lr+∑αLc
wherein L isPTo estimate the logistics mileage, LrThe mileage between the location of the goods to be warehoused and the location of the warehouse is shown as α, the ratio of each kind of goods or each kind of goods in the goods to be warehoused is shown as LcThe weighted ex-warehouse mileage of each article or each type of article in the goods to be warehoused is calculated;
the weighted ex-warehouse mileage is calculated according to the following method:
Lc＝∑βLm
wherein L iscFor weighted outbound mileage β is the outbound logistic weight of the item or item of the category to the destination, LmThe mileage between the location of the warehouse and the destination is taken as the mileage;
and S3, allocating storage positions for the warehouse marked by the warehouse number obtained in the step S2 according to the stock condition and the position grade of each article in the goods to be warehoused.
5. The multi-warehouse adaptive warehousing management method according to claim 4, wherein, in step S3, when the stock level is less than a preset threshold, the storage locations are allocated by using an item priority policy, that is, for each item, the location with the highest storage rank among all available storage locations is selected as the storage location of the item; when the stock quantity is larger than the threshold value, a position priority strategy is adopted to allocate the storage position, namely for each item, the position with the lowest storage grade is selected as the storage position of the item from all the storage positions with the storage grades higher than or equal to the storage grade of the item; and the storage grade of the storage position is determined according to the access convenience degree of the position and the principle that the more convenient the storage grade is higher.
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Families Citing this family (14)
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|---|---|---|---|---|
| CN107103445B (en) * | 2017-05-17 | 2021-07-06 | 北京京东乾石科技有限公司 | Information processing method and device |
| CN108022071A (en) * | 2017-12-05 | 2018-05-11 | 深圳春沐源控股有限公司 | Storage management method and Warehouse Management System |
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| CN112149929A (en) * | 2019-06-28 | 2020-12-29 | 北京京东尚科信息技术有限公司 | Task allocation method and device |
| CN110516886A (en) * | 2019-09-02 | 2019-11-29 | 云南电网有限责任公司电力科学研究院 | Storage Optimal Configuration Method and system based on RFID and appraisal of equipment |
| CN110852676A (en) * | 2019-11-06 | 2020-02-28 | 秒针信息技术有限公司 | Method and device for realizing warehouse management, computer storage medium and terminal |
| CN113128820B (en) * | 2020-01-16 | 2024-03-01 | 北京京东振世信息技术有限公司 | Method, apparatus, device and computer readable medium for evaluating warehouse adjustment plans |
| CN112036794A (en) * | 2020-08-28 | 2020-12-04 | 建经投资咨询有限公司 | Engineering material warehousing method, system and device for cost control |
| CN112581061A (en) * | 2020-12-25 | 2021-03-30 | 绍兴市上虞区武汉理工大学高等研究院 | Three-dimensional warehouse management method and device based on artificial intelligence |
| WO2023178942A1 (en) * | 2022-03-21 | 2023-09-28 | 苏州麦种科技有限公司 | Quick sample stocking system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202584204U (en) * | 2012-05-03 | 2012-12-05 | 广东顺德宸熙物联科技有限公司 | Intelligent logistics management system based on RFID technology |
| CN103279852A (en) * | 2013-06-06 | 2013-09-04 | 四川航天系统工程研究所 | System and method for monitoring and managing warehouse goods in refined and real-time mode based on RFID |
| CN103593751A (en) * | 2013-11-29 | 2014-02-19 | 中国建筑第八工程局有限公司 | Radiofrequency identification (RFID) based intelligent logistics managing system |
| CN103761631A (en) * | 2013-09-10 | 2014-04-30 | 天津传世科技有限公司 | Intelligent warehouse cargo management method adopting RFID technology |
| CN104537514A (en) * | 2015-01-19 | 2015-04-22 | 华东理工大学 | Material delivery method based on RFID |
| CN105046468A (en) * | 2015-07-06 | 2015-11-11 | 苏州华拓信息技术有限公司 | Method for intelligent storage based on internet-of things |
| JP5878262B1 (en) * | 2015-08-10 | 2016-03-08 | 株式会社ファーストリテイリング | Delivery management system and delivery management method |
| CN106056341A (en) * | 2016-06-08 | 2016-10-26 | 上海千帆科技股份有限公司 | Accurate warehouse information management system |
| CN206610317U (en) * | 2016-12-21 | 2017-11-03 | 武汉市龙腾创科技股份有限公司 | A kind of many warehouse storage managing devices |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8306875B2 (en) * | 2010-05-07 | 2012-11-06 | Avner Schneur | Method and medium for determining whether insurance is required for storage reservation |
-
2016
- 2016-12-21 CN CN201611189139.0A patent/CN106651028B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202584204U (en) * | 2012-05-03 | 2012-12-05 | 广东顺德宸熙物联科技有限公司 | Intelligent logistics management system based on RFID technology |
| CN103279852A (en) * | 2013-06-06 | 2013-09-04 | 四川航天系统工程研究所 | System and method for monitoring and managing warehouse goods in refined and real-time mode based on RFID |
| CN103761631A (en) * | 2013-09-10 | 2014-04-30 | 天津传世科技有限公司 | Intelligent warehouse cargo management method adopting RFID technology |
| CN103593751A (en) * | 2013-11-29 | 2014-02-19 | 中国建筑第八工程局有限公司 | Radiofrequency identification (RFID) based intelligent logistics managing system |
| CN104537514A (en) * | 2015-01-19 | 2015-04-22 | 华东理工大学 | Material delivery method based on RFID |
| CN105046468A (en) * | 2015-07-06 | 2015-11-11 | 苏州华拓信息技术有限公司 | Method for intelligent storage based on internet-of things |
| JP5878262B1 (en) * | 2015-08-10 | 2016-03-08 | 株式会社ファーストリテイリング | Delivery management system and delivery management method |
| CN106056341A (en) * | 2016-06-08 | 2016-10-26 | 上海千帆科技股份有限公司 | Accurate warehouse information management system |
| CN206610317U (en) * | 2016-12-21 | 2017-11-03 | 武汉市龙腾创科技股份有限公司 | A kind of many warehouse storage managing devices |
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|---|---|
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