CN112288199A - Stock adjusting method of vending system and vending system - Google Patents

Stock adjusting method of vending system and vending system Download PDF

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Publication number
CN112288199A
CN112288199A CN201910671262.3A CN201910671262A CN112288199A CN 112288199 A CN112288199 A CN 112288199A CN 201910671262 A CN201910671262 A CN 201910671262A CN 112288199 A CN112288199 A CN 112288199A
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store
selling
inventory
supply
target
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CN112288199B (en
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不公告发明人
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Jiangsu Huazhang Logistics Technology Co ltd
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Jiangsu Huazhang Logistics Technology Co ltd
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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
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • 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
    • G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials

Abstract

The invention provides an inventory adjusting method of a vending system and the vending system, wherein the vending system comprises at least one automatic dispatching mechanism and a vending store group, the vending store group comprises at least two vending stores, and the inventory adjusting method of the vending system comprises the following steps: acquiring real-time inventory and consumption rate of each sales shop; selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store, and generating an inventory adjusting instruction; the automated dispatch mechanism performs inventory adjustment actions in response to the inventory adjustment instructions. The vending system collects real-time inventory and vending rate information of each vending store through the information cloud platform, selects an optimal inventory adjustment strategy according to the real-time inventory and vending rate information to achieve dynamic balance among the vending stores, adopts the automatic scheduling mechanism as a distribution bridge among the vending stores, and achieves full-automatic inventory dynamic adjustment of a robot substitute.

Description

Stock adjusting method of vending system and vending system
Technical Field
The invention relates to the technical field of vending systems, in particular to a stock adjusting method of a vending system and the vending system.
Background
At present, the logistics retail industry is more and more competitive, meanwhile, for a plurality of logistics and retail industries, in the actual operation process, the cost of manpower accounts for the vast majority of the operation cost, and robot exchange is a trend, so that unmanned retail stores and unmanned vending machines gradually appear on the market.
Because the operation is convenient, the unattended vending equipment can be widely applied only by replenishing goods for a limited number of times within a certain time. However, the conventional warehouse storage centers are used for providing stocks for unmanned vending machines and unmanned retail stores, and manual transfer is required among the warehouse storage centers to achieve the aim of stock balance; and the selling and storing conditions of the goods of each unmanned vending equipment need to be paid attention to at any time by manpower, and once the selling and storing conditions of the goods are ignored, the goods of the unmanned retail store and the unmanned vending machine in a busy place with good selling quantity can be out of stock, or the goods of the unmanned retail store and the unmanned vending machine in a remote place can be lost and the goods can be overdue. Although some technologies capable of monitoring inventory of each unmanned vending machine have appeared in the market, the supply of goods sources through the traditional warehouse storage center and the transportation of goods by manpower are still needed, no application of full-automatic and dynamic adjustment of inventory among the various vending machines appears, the inventory of the unmanned retail store and the unmanned vending machine may have the phenomenon of unmatched with the actual sales volume demand, the operation efficiency is low, and the operation cost is increased.
Disclosure of Invention
The invention aims to provide an inventory adjusting method of a vending system and the vending system, which collect real-time inventory and vending rate information of each vending store through an information cloud platform, select an optimal inventory adjusting strategy according to the real-time inventory and the vending rate information to realize dynamic balance among the vending stores, ensure that the commodity inventory of the vending store with good sales quantity meets the sales demand, also ensure that the commodity inventory of the vending store with poor sales quantity can be timely dispatched to other vending stores, avoid the problems of commodity overdue caused by commodity stagnation and the like, and further ensure that the commodity inventory is simultaneously consumed in each vending store of the same vending store group, or ensure that the inventory inclines to the vending store with better sales quantity, thereby achieving the purpose of consuming the inventory fastest, improving the operation sales quantity and reducing the operation cost; meanwhile, different inventory adjustment strategies can be adopted according to different actual conditions, so that inventory adjustment is more flexible, and market change conditions can be responded more quickly. In addition, the automatic scheduling mechanism is used as a delivery bridge between each selling store, manual participation is not needed in the whole process, and full-automatic dynamic inventory adjustment of a robot replacing a human is really realized.
The above object of the invention is achieved by the features of the independent claims, the dependent claims developing the features of the independent claims in alternative or advantageous ways.
To achieve the above object, the present invention provides a stock adjustment method for a vending system, wherein the vending system comprises at least one automatic dispatching mechanism and a group of vending stores, the group of vending stores comprises at least two vending stores, and the method comprises:
the inventory adjustment method of the vending system comprises the following steps:
acquiring real-time inventory and consumption rate of each sales shop;
selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store, and generating an inventory adjusting instruction;
the automatic scheduling mechanism responds to an inventory adjustment instruction to perform inventory adjustment operation, and the inventory adjustment operation specifically comprises the following steps: the automated dispatch mechanism takes the goods from the supply store and then replenishes the inventory to the target store.
In a further embodiment, selecting the target store and the supply store according to the real-time inventory and consumption rate of each store specifically includes:
when the real-time inventory of the selling store is lower than the corresponding consumption rate, selecting the selling store as a target selling store, and obtaining the inventory replenishment quantity of the target selling store;
and when the real-time inventory of the selling store is higher than or equal to the corresponding inventory supply threshold value, the inventory supply threshold value is the sum of the inventory replenishment quantity of the target selling store and the residual inventory threshold value corresponding to the selling store, and the selling store is selected as the supply selling store.
In a further embodiment, the method further comprises:
selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store specifically comprises the following steps:
when the real-time inventory of the selling store is lower than the corresponding consumption rate, selecting the selling store as a target selling store, and obtaining the inventory replenishment quantity of the target selling store;
determining whether the target store is a preferred supply store,
if so, selecting the selling store as a supply selling store when the real-time inventory of the selling store is higher than or equal to the inventory replenishment quantity of the target selling store;
if not, when the real-time inventory of the selling store is higher than the corresponding inventory supply threshold value, the inventory supply threshold value is the sum of the inventory replenishment quantity of the target selling store and the residual inventory threshold value corresponding to the selling store, and the selling store is selected as the supply selling store.
In a further embodiment, the total number of the sales stores in the defined sales store group is i, i is a positive integer, when a plurality of sales stores are selected as the supply sales stores, the supply sales store with the largest inventory consumption ratio is selected as the optimal supply sales store, and the inventory consumption ratio is calculated as:
Ki＝Storagei/Vi；
in the formula, KiRepresenting the stock consumption ratio of the ith sales outlet; storageiRepresenting real-time inventory of the ith store; viThe representation represents the consumption rate of the ith store.
In a further embodiment, the remaining inventory threshold is calculated by the following formula:
Si＝Vi*Dplus；
Dplus＝Storagetotal/Vtotal；
in the formula, SiIndicating a remaining inventory threshold for the ith store; viRepresenting the consumption rate of the ith store; dplusRepresenting estimated days of sale for a group of sales outlets; storagetotalReal-time inventory representing groups of sales outlets; vtotalRepresenting the consumption rate of the group of sales outlets.
In a further embodiment, the formula for calculating the stock replenishment quantity of the target store is as follows:
Supplyi＝Vi-Storagei；
in the formula, SupplyiIndicating the inventory replenishment quantity of the ith sales outlet; viRepresenting the consumption rate of the ith store; storageiRepresenting the real-time inventory of the ith store.
In a further embodiment, selecting the target store and the supply store according to the real-time inventory and consumption rate of each store specifically includes:
s100, when the real-time inventory of the selling store is lower than the corresponding consumption rate, selecting the selling store as a target selling store, and obtaining the inventory replenishment quantity of the target selling store; the number of the selected target selling shops is at least one, the number of the target selling shops is defined to be n, and n is a positive integer; defining the selling stores except the target selling store as a to-be-selected supply selling store group, and defining the number of the selling stores of the to-be-selected supply selling store group as m, wherein m is a positive integer;
s200, after n target selling stores are selected, selecting supply selling stores for each target selling store one by one according to the sequence of the priority of the target selling stores from high to low for stock replenishment;
s210, selecting a supply sales store for the target sales store from the group of supply sales stores to be selected, specifically:
s211, calculating the supply difference value of each selling store of the selling store group to be selected, wherein the calculation formula of the supply difference value is as follows:
Differm＝Storagem-Sm-Supplyn；
in the formula, DiffermA supply difference value representing an mth store of the set of stores to be selected for supply; storagemReal-time inventory representing an mth store of the set of stores to be selected for supply; smA remaining inventory threshold value representing an mth store to be selected for supply to the group of stores; supplynIndicating the stock replenishment quantity of the nth target sales outlet;
s212, selecting a selling store with a supply difference value of positive or 0 and the smallest supply difference value as a supply selling store of the target selling store from selling stores of the group of selling stores to be selected;
s220 repeats step S210 until each target store has completed selection of a supply store.
In a further embodiment, selecting the target store and the supply store according to the real-time inventory and consumption rate of each store specifically includes:
s300, when the real-time inventory of the selling store is lower than the corresponding consumption rate, selecting the selling store as a target selling store, and obtaining the inventory replenishment quantity of the target selling store; the number of the selected target selling shops is at least one, the number of the target selling shops is defined to be n, and n is a positive integer; defining the selling shops except the target selling shop as a group of supply selling shops to be selected;
s400, after n target selling stores are selected, selecting supply selling stores for each target selling store one by one according to the sequence of the priorities of the target selling stores from high to low for inventory replenishment;
s410, selecting all the selling stores with the priority lower than that of the target selling store from the group of the selling stores to be selected as the group of the preferable selling stores to be selected, and defining the number of the selling stores of the group of the preferable selling stores to be selected as p, wherein p is a positive integer;
s411 selects a supply sales store for the target sales store from the group of preferred supply sales stores to be selected, specifically:
s411-1, calculating the supply difference value of each preferred supply sales outlet of the sales outlet group to be selected, wherein the calculation formula of the supply difference value is as follows:
Differp＝Storagep-Supplyn；
in the formula, DifferpA supply difference value representing a pth store of the group of preferred supply stores to be selected; supplynIndicating the stock replenishment quantity of the nth target sales outlet; storagepReal-time inventory representing the pth store of the group of preferred supply stores to be selected;
s411-2, selecting a selling store with a supply difference value of positive or 0 and the smallest supply difference value as a supply selling store of the target selling store from the selling stores of the to-be-selected preferred supply selling store group;
s420 repeats step S410 until each target store has completed selection of a supply store.
According to an improvement of the present invention, there is also provided a vending system comprising an information cloud platform, at least one automatic scheduling mechanism and a group of sales outlets, the group of sales outlets comprising at least two sales outlets, the automatic scheduling mechanism having an automatic traveling system for unmanned driving, wherein:
the information cloud platform is arranged to select a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store, generate an inventory adjusting instruction and send the inventory adjusting instruction to the automatic scheduling mechanism, the target selling store and the supply selling store through a network;
the automatic scheduling mechanism is configured to perform an inventory adjustment operation in response to an inventory adjustment instruction, where the inventory adjustment operation is specifically: the automated dispatch mechanism takes the goods from the supply store and then replenishes the inventory to the target store.
In a further embodiment, each of the shops comprises a warehouse, an automatic access device and a control device;
the warehouse is used for storing goods;
the automatic access device is butted with the automatic dispatching mechanism and is used for taking out and conveying the goods in the goods warehouse to the automatic dispatching mechanism and storing the goods conveyed by the automatic dispatching mechanism to the goods warehouse;
the control device is electrically connected with the automatic access device, realizes information interaction with the information cloud platform through a network, and is configured to respond to the inventory adjustment instruction and control the automatic access device to access.
Compared with the prior art, the invention has the following remarkable advantages: the method comprises the steps that real-time inventory and sales rate information of each sales shop are collected through an information cloud platform, an optimal inventory adjusting strategy is selected according to the real-time inventory and the sales rate information to achieve dynamic balance among the sales shops, the commodity inventory of the sales shops with good sales volume can be guaranteed to meet sales requirements, the commodity inventory of the sales shops with poor sales volume can be timely dispatched to other sales shops, the problems of commodity expiration and the like caused by commodity stagnation are avoided, the purpose that the commodity inventory is consumed in each sales shop of the same sales shop group at the same time, or the inventory is inclined to the sales shops with better sales volume is achieved, the purpose of consuming the inventory at the highest speed is achieved, the operation sales volume is increased, and the operation cost is reduced; meanwhile, different inventory adjustment strategies can be adopted according to different actual conditions, so that inventory adjustment is more flexible, and market change conditions can be responded more quickly. In addition, the automatic scheduling mechanism is used as a delivery bridge between each selling store, manual participation is not needed in the whole process, and full-automatic dynamic inventory adjustment of a robot replacing a human is really realized.
It should be understood that all combinations of the foregoing concepts and additional concepts described in greater detail below can be considered as part of the inventive subject matter of this disclosure unless such concepts are mutually inconsistent. In addition, all combinations of claimed subject matter are considered a part of the presently disclosed subject matter.
The foregoing and other aspects, embodiments and features of the present teachings can be more fully understood from the following description taken in conjunction with the accompanying drawings. Additional aspects of the present invention, such as features and/or advantages of exemplary embodiments, will be apparent from the description which follows, or may be learned by practice of specific embodiments in accordance with the teachings of the present invention.
Drawings
The drawings are not intended to be drawn to scale. In the drawings, each identical or nearly identical component that is illustrated in various figures may be represented by a like numeral. For purposes of clarity, not every component may be labeled in every drawing. Embodiments of various aspects of the present invention will now be described, by way of example, with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of a vending system according to a preferred embodiment of the present invention.
FIG. 2 is a schematic diagram of a vending system according to a preferred embodiment of the present invention.
FIG. 3 is a flow chart illustrating a method for adjusting inventory of a vending system according to a preferred embodiment of the present invention.
Detailed Description
In order to better understand the technical content of the present invention, specific embodiments are described below with reference to the accompanying drawings.
In this disclosure, aspects of the present invention are described with reference to the accompanying drawings, in which a number of illustrative embodiments are shown. Embodiments of the present disclosure are not necessarily intended to include all aspects of the invention. It should be appreciated that the various concepts and embodiments described above, as well as those described in greater detail below, may be implemented in any of numerous ways, as the disclosed concepts and embodiments are not limited to any one implementation. In addition, some aspects of the present disclosure may be used alone, or in any suitable combination with other aspects of the present disclosure.
As shown in fig. 1 to 2, a stock adjustment method of a vending system includes an information cloud platform 1, at least one automatic dispatching mechanism 3 having an unmanned store, and a group of vending stores 2, where the group of vending stores 2 includes at least two unmanned vending stores having unmanned stores. Each automated dispatch mechanism 3 and each store has a unique number. The automatic dispatch mechanism 3 also has an automatic travel system for unmanned driving. The inventory adjusting method is suitable for realizing the dynamic adjustment of the inventory among the unmanned retail stores so as to ensure the optimization of the inventory state. The information cloud platform 1 stores all data information (including real-time inventory, historical sales rate, real-time location information of the automatic scheduling mechanism 3, location information of the unmanned sales shop and the like) of the sales shop and the automatic scheduling mechanism 3, and can realize information interaction with the unmanned sales shop and the automatic scheduling mechanism 3, send inventory adjustment instructions and complete scheduling. It should be understood that the foregoing unmanned cargo compartment and automated travel system are well known in the art and that any suitable structure, either now known or later developed, may be used in accordance with the present disclosure.
As shown in fig. 3, the inventory adjusting method of the vending system includes the steps of:
real-time inventory and consumption rates of various sales outlets are obtained. The consumption rate is a single-day average of the historical sales data for the store.
And selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store and generating an inventory adjusting instruction. The inventory adjustment instruction includes the kind of the article, the number of the article, the numbers of the target sales shop and the supply sales shop, the position, and the number of the automatic scheduling mechanism 3.
The selecting of the target selling store and the supply selling store according to the real-time inventory and consumption rate of each selling store specifically comprises:
and when the real-time inventory of the sales stores is lower than the corresponding consumption rate, selecting the sales stores as target sales stores, and obtaining the inventory replenishment quantity of the target sales stores.
The total number of the sales outlets of the sales outlet group 2 is defined as i, and i is a positive integer.
The calculation formula of the inventory replenishment quantity of the target selling store is as follows: supplyi＝Vi-Storagei. In the formula, SupplyiIndicating the inventory replenishment quantity of the ith sales outlet; viRepresenting the consumption rate of the ith store; storageiRepresenting the real-time inventory of the ith store.
And when the real-time inventory of the selling store is higher than or equal to the corresponding inventory supply threshold value, the inventory supply threshold value is the sum of the inventory replenishment quantity of the target selling store and the residual inventory threshold value corresponding to the selling store, and the selling store is selected as the supply selling store.
The calculation formula of the residual inventory threshold value is as follows: si＝Vi*Dplus；Dplus＝Storagetotal/Vtotal. In the formula, SiIndicating a remaining inventory threshold for the ith store; viRepresenting the consumption rate of the ith store; dplusRepresents the estimated number of sales days for the group of sales outlets 2; storagetotalReal-time inventory representing a group of sales outlets 2; vtotalRepresenting the consumption rate of the group of sales outlets 2. Thus, the inventory Supply threshold is SupplyiAnd SiThe sum of (a) and (b).
The automatic scheduling mechanism 3 responds to the inventory adjustment instruction to perform inventory adjustment work, and the inventory adjustment work specifically comprises the following steps: the automated dispatching mechanism 3 takes out the goods from the supply sales stores and then supplies the stock to the target sales stores.
When a plurality of the sales stores are selected as the supply sales stores, the supply sales store with the largest inventory consumption ratio is selected as the optimal supply sales store. The calculation formula of the inventory consumption ratio is as follows: ki＝Storagei/Vi. In the formula, KiRepresenting the stock consumption ratio of the ith sales outlet; storageiRepresenting real-time inventory of the ith store; viThe representation represents the consumption rate of the ith store.
The following example illustrates the workflow of the inventory adjustment method of the vending system according to the present invention: selecting the selling shops needing inventory related adjustment as the same selling shop group 2 on the information cloud platform 1, wherein the information cloud platform 1 takes real-time inventory and consumption rate reported by the selling shops in the selling shop group 2 in real time as input information, selects a target selling shop and supplies the target selling shop to the selling shops according to an inventory adjustment strategy and generates an inventory adjustment instruction; the information cloud platform 1 sends the inventory adjustment instruction to the automatic scheduling mechanism 3, the target sales store and the supply sales store, the automatic scheduling mechanism 3 reaches the position of the supply sales store according to the inventory adjustment instruction, the supply sales store automatically takes out the goods from the unmanned store in response to the inventory adjustment instruction and is in butt joint with the automatic scheduling mechanism 3, the automatic driving system of the automatic scheduling mechanism 3 automatically drives to the position of the target sales store to transport the goods supplied by the supply sales store to the target sales store, the goods are in butt joint with the target sales store, and the target sales store takes the goods away to complete the inventory adjustment operation.
Assuming A, B, C three sales stores, the maximum stock and real-time stock of beer in the three sales stores are all 100 bottles at the beginning, the three sales stores are selected as a sales store group 2 on the information cloud platform 1, and the purpose of stock adjustment is that the stock is consumed in each sales store of the same sales store group 2 at the same time. Assuming that the frequency of obtaining real-time inventory and consumption rate of each sales store by the information cloud platform 1 is 1/day, the information cloud platform 1 calculates the consumption rate of a to be 3 bottles/day, the consumption rate of B to be 2 bottles/day and the consumption rate of C to be 1 bottle/day according to inventory information reported by A, B, C three sales stores each day (the consumption rate is a single-day average value of historical sales data of the sales store, such as a single-day average value of 7-day sales data of the sales store). According to the formula, when the real-time inventory of the A selling store is 2 bottles, namely 3 bottles/day lower than the corresponding consumption rate, in order to ensure the sales volume of the A selling store in the next day and avoid the occurrence of the outage situation, the A selling store is selected as the target selling store, and the inventory replenishment quantity of the A selling store is 1 bottle according to the formula. Suppose the real-time inventory of the B store is 30 bottles; c, real-time stock of the selling store is 64 bottles; at this time, the real-time inventory of the sales store group 2 is 96 bottles, the consumption rate of the sales store group 2 is 6 bottles/day, the estimated sales days of the sales store group 2 is 16 days, the remaining inventory threshold of the sales store B is 32 bottles, and the remaining inventory threshold of the sales store C is 16 bottles. The real-time inventory (64 bottles) of the C store is greater than the inventory supply threshold (the sum of the remaining inventory threshold of 16 bottles and the inventory replenishment quantity of 1 bottle, namely 17 bottles), so that the C store is selected as the supply store of the A store. And B, if the residual inventory threshold value of B is required to be ensured, the B is not selected as a supply selling store of the A selling store. By analogy, the inventory of each sales store is dynamically adjusted according to the real-time inventory and consumption rate of each sales store every day, so that the inventory of goods can be consumed in each sales store of the same sales store group 2 at the same time, the automatic scheduling mechanism 3 is used as a distribution bridge among the sales stores, manual participation is not needed in the whole process, and full-automatic dynamic inventory adjustment of a robot substitute is really realized.
For the above example, if the real-time inventory of B is 46 bottles and the real-time inventory of C is 50 bottles, then the remaining inventory threshold for the store B is 32 bottles and the remaining inventory threshold for the store C is 16 bottles. The real-time inventory (46 bottles) of the B sales shop and the real-time inventory (50 bottles) of the C sales shop are both larger than the inventory supply threshold value (33 bottles for the B sales shop and 17 bottles for the C sales shop), so the inventory consumption ratio needs to be calculated; the stock consumption ratio of the B store is 23, and the stock consumption ratio of the C store is 50. Therefore, the supply store of the C store as the A store is still selected. Further, if the stock consumption ratio of the B-selling store and the stock consumption ratio of the C-selling store are equal, the selling store closest to A is selected as the supply selling store of the A-selling store.
In some preferred embodiments, the method further comprises:
selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store specifically comprises the following steps:
and when the real-time inventory of the sales stores is lower than the corresponding consumption rate, selecting the sales stores as target sales stores, and obtaining the inventory replenishment quantity of the target sales stores.
Determining whether the target store is a preferred supply store,
if yes, when the real-time inventory of the sales shop is higher than or equal to the inventory replenishment quantity of the target sales shop, the sales shop is selected as the supply sales shop.
If not, when the real-time inventory of the selling store is higher than the corresponding inventory supply threshold value, the inventory supply threshold value is the sum of the inventory replenishment quantity of the target selling store and the residual inventory threshold value corresponding to the selling store, and the selling store is selected as the supply selling store.
Thus, still assuming A, B, C three sales stores, initially, the maximum stock and real-time stock of beer in the three sales stores are all 100 bottles, the three sales stores are selected as a sales store group 2 on the information cloud platform 1, and assuming that there is celebration activity near the a sales store, so that beer in the a sales store is consumed very much, at this time, the priority ensuring policy may be adopted, the a sales store is set as a priority supply sales store in advance, the B sales store and the C sales store are common supply sales stores, and assuming that the consumption rate of the a sales store is 60 bottles/day and the real-time stock is 2 bottles, then a is selected as a target sales store, and the stock replenishment quantity is 58 bottles. Suppose the real-time inventory of the B store is 30 bottles; c, real-time stock of the selling store is 64 bottles; then the real-time inventory of the C store is greater than the inventory replenishment quantity (58 bottles) of the a store, and the C store is selected as the supply store of the a store. That is, the stock of the A selling shop is guaranteed preferentially to meet the sales demand of the A selling shop. Therefore, the commodity inventory of the selling store with good sales volume can meet the sales demand, the commodity inventory of the selling store with poor sales volume can be timely dispatched to other selling stores, the problems of commodity expiration and the like caused by commodity stagnation are avoided, the inclination of the inventory to the selling store with better sales volume is ensured, the purpose of consuming the inventory at the fastest speed is achieved, the operation sales volume is increased, and the operation cost is reduced.
In some preferred embodiments, selecting the target store and the supply store according to the real-time inventory and consumption rate of each store comprises:
s100, when the real-time inventory of the selling store is lower than the corresponding consumption rate, the selling store is selected as a target selling store, and the inventory replenishment quantity of the target selling store is obtained. The number of the selected target selling shops is at least one. The number of the target sales shops is defined as n, and n is a positive integer. And defining the selling stores except the target selling store as a to-be-selected supply selling store group, and defining the number of the selling stores of the to-be-selected supply selling store group as m, wherein m is a positive integer.
S200, after n target selling stores are selected, selecting supply selling stores for each target selling store one by one according to the sequence of the priority of the target selling stores from high to low for inventory replenishment. Namely, a supply selling store is selected for the target selling store with the highest priority for inventory replenishment.
S210, selecting a supply sales store for the target sales store from the group of supply sales stores to be selected, specifically:
s211, calculating the supply difference value of each selling store of the selling store group to be selected, wherein the calculation formula of the supply difference value is as follows:
Differm＝Storagem-Sm-Supplyn. In the formula, DiffermA supply difference value representing an mth store of the set of stores to be selected for supply; storagemReal-time inventory representing an mth store of the set of stores to be selected for supply; smA remaining inventory threshold value representing an mth store to be selected for supply to the group of stores; supplynIndicating the inventory replenishment quantity for the nth target outlet. The remaining inventory threshold and the inventory replenishment quantity are the same as the above calculation formula.
S212 selects a supply difference value of positive or 0 (that is, satisfying both the sales demand of the vendor and the replenishment demand of the target vendor) from the vendors of the set of vendors to be selected, and selects the vendor with the smallest supply difference value as the supply vendor of the target vendor.
S220, repeating the step S210, selecting a supply selling store for the target selling store with the second highest priority for inventory replenishment, and repeating the steps until each target selling store finishes the selection of the supply selling store.
Therefore, when the multi-supply selling stores supply goods for the multi-target selling stores, the goods stock can be consumed in each selling store of the same selling store group 2 at the same time, the dispatching efficiency is further improved, and the operation cost is reduced. And the automatic scheduling mechanism 3 is also adopted as a distribution bridge among various goods-selling shops, manual participation is not needed in the whole process, and the full-automatic dynamic inventory adjustment of a robot replacing a human is realized in a real sense.
In some preferred embodiments, selecting the target store and the supply store according to the real-time inventory and consumption rate of each store comprises:
s300, when the real-time inventory of the selling store is lower than the corresponding consumption rate, the selling store is selected as the target selling store, and the inventory replenishment quantity of the target selling store is obtained. The number of the selected target selling shops is at least one. The number of the target sales shops is defined as n, and n is a positive integer. And defining the selling stores except the target selling store as the supply selling store group to be selected.
S400, after n target selling stores are selected, selecting supply selling stores for each target selling store one by one according to the sequence of the priority of the target selling stores from high to low for inventory replenishment. Namely, a supply selling store is selected for the target selling store with the highest priority for inventory replenishment.
S410, all the selling stores with the priority lower than that of the target selling store in the group of the preferable supply selling stores to be selected are selected as the group of the preferable supply selling stores to be selected. The number of the selling stores to be selected and preferably supplied to the selling store group is defined as p, and p is a positive integer.
S411 selects a supply sales store for the target sales store from the group of preferred supply sales stores to be selected, specifically:
s411-1, calculating the supply difference value of each preferred supply sales outlet of the sales outlet group to be selected, wherein the calculation formula of the supply difference value is as follows:
Differp＝Storagep-Supplyn。
in the formula, DifferpA supply difference value representing a pth store of the group of preferred supply stores to be selected; supplynIndicating the stock replenishment quantity of the nth target sales outlet; storagepRepresenting the real-time inventory of the pth store to be selected as the preferred supply store group.
S411-2 selects a supply difference value of positive or 0 (that is, a supply store with a low priority preferentially satisfies a replenishment demand of a target store with a high priority) from the stores of the group of preferred supply stores to be selected, and selects the store with the smallest supply difference value as the supply store of the target store.
S420, repeating the step S410, selecting a supply selling store for the target selling store with the second highest priority for inventory replenishment, and repeating the steps until each target selling store finishes the selection of the supply selling store.
Therefore, when the multi-supply selling stores supply goods for the multi-target selling stores, the supply selling stores with low priority can preferentially meet the supply requirement of the target selling stores with high priority, the commodity inventory of the selling stores with good sales volume can be guaranteed to meet the sales requirement, the commodity inventory of the selling stores with poor sales volume can be timely dispatched to other selling stores, the problems of commodity expiration and the like caused by the fact that commodities are sold in a long time can be avoided, the inventory is guaranteed to incline to the selling stores with better sales volume, the purpose of consuming the inventory at the fastest speed is achieved, the operation sales volume is increased, and the operation cost is reduced.
According to the improvement of the invention, the vending system comprises an information cloud platform 1, at least one automatic dispatching mechanism 3 with an unmanned warehouse and a vending store group 2, wherein the vending store group 2 comprises at least two unmanned vending stores. Each automated dispatch mechanism 3 and each store has a unique number. The automatic dispatch mechanism 3 also has an automatic travel system for unmanned driving. The information cloud platform 1 stores all data information (including real-time inventory, historical sales rate, real-time location information of the automatic scheduling mechanism 3, location information of an unmanned retail store, and the like) of the retail store and the automatic scheduling mechanism 3.
The information cloud platform 1 is configured to select a target sales store and a supply sales store according to real-time inventory and consumption rate of each sales store, generate inventory adjustment instructions (the inventory adjustment instructions include types of commodities, numbers of the target sales store and the supply sales store, positions, and numbers of the automatic scheduling mechanism 3), and send the inventory adjustment instructions to the automatic scheduling mechanism 3, the target sales store and the supply sales store through a network.
The automatic scheduling mechanism 3 is configured to perform an inventory adjustment operation in response to an inventory adjustment instruction, where the inventory adjustment operation is specifically: the automated dispatching mechanism 3 takes out the goods from the supply sales stores and then supplies the stock to the target sales stores.
Each of the shops comprises an unmanned warehouse, an automatic access device 2-2 and a control device 2-1. The warehouse is used for storing goods. And the automatic storing and taking device 2-2 is butted with the automatic dispatching mechanism 3 and is used for taking out the goods in the warehouse and conveying the goods to the automatic dispatching mechanism 3 and storing the goods conveyed by the automatic dispatching mechanism 3 into the warehouse. The control device 2-1 is electrically connected with the automatic access device 2-2, realizes information interaction with the information cloud platform 1 through a network, and is configured to respond to the inventory adjustment instruction and control the automatic access device 2-2 to store and fetch.
It should be understood that the aforementioned unmanned cargo space, the automated access device 2-2, the control device 2-1 and the automated travel system are well known in the art and any suitable structure, either now known or later developed in the future, may be used in accordance with the present disclosure.
The vending system provided by the invention has the working principle that:
selecting the selling shops needing inventory related adjustment as the same selling shop group 2 on the information cloud platform 1, wherein the information cloud platform 1 takes real-time inventory and consumption rate reported by the selling shops in the selling shop group 2 in real time as input information, selects a target selling shop and supplies the target selling shop to the selling shops according to an inventory adjustment strategy and generates an inventory adjustment instruction; the information cloud platform 1 transmits the inventory adjustment instruction to the automatic scheduling mechanism 3, the target sales outlet, and the supply sales outlet. The automatic dispatching mechanism 3 arrives at the location of the supply shop according to the inventory adjustment instruction. The control device 2-1 of the supply sales store responds to the inventory adjustment instruction to control the automatic access device 2-2 to automatically take the goods out of the unmanned warehouse and is in butt joint with the automatic scheduling mechanism 3, the automatic driving system of the automatic scheduling mechanism 3 automatically drives to the position where the target sales store is located to transport the goods supplied by the supply sales store to the target sales store and is in butt joint with the target sales store, and the control device 2-1 of the target sales store responds to the inventory adjustment instruction to control the automatic access device 2-2 to take the goods out of the automatic scheduling mechanism 3 and store the goods into the goods sales position of the target sales store through the automatic access device 2-2, so that the inventory adjustment operation is completed.
The inventory adjustment method of the vending system is more detailed and similar to all the inventory adjustment methods included in the inventory adjustment method of the vending system, and is not repeated herein.
Therefore, the technical scheme of the invention collects the real-time inventory and sales rate information of each sales shop through the information cloud platform, and selects the optimal inventory adjustment strategy according to the real-time inventory and sales rate information to realize the dynamic balance among the sales shops, thereby ensuring that the commodity inventory of the sales shop with good sales quantity meets the sales demand, ensuring that the commodity inventory of the sales shop with poor sales quantity can be timely dispatched to other sales shops, avoiding the problems of commodity overdue caused by the sale of the commodity, and the like, and achieving the purposes that the commodity inventory is simultaneously consumed in each sales shop of the same sales shop group, or the inventory is inclined to the sales shop with better sales quantity, thereby achieving the purpose of consuming the inventory at the highest speed, improving the operation sales quantity and reducing the operation cost; meanwhile, different inventory adjustment strategies can be adopted according to different actual conditions, so that inventory adjustment is more flexible, and market change conditions can be responded more quickly. In addition, the automatic scheduling mechanism is used as a delivery bridge between each selling store, manual participation is not needed in the whole process, and full-automatic dynamic inventory adjustment of a robot replacing a human is really realized.
Although the present invention has been described with reference to the preferred embodiments, it is not intended to be limited thereto. Those skilled in the art can make various changes and modifications without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be determined by the appended claims.

Claims (10)

1. The inventory adjustment method of the vending system is characterized in that the vending system comprises at least one automatic dispatching mechanism and a vending store group, the vending store group comprises at least two vending stores, and the inventory adjustment method of the vending system comprises the following steps:
acquiring real-time inventory and consumption rate of each sales shop;
selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store, and generating an inventory adjusting instruction;
the automatic scheduling mechanism responds to an inventory adjustment instruction to perform inventory adjustment operation, and the inventory adjustment operation specifically comprises the following steps: the automated dispatch mechanism takes the goods from the supply store and then replenishes the inventory to the target store.
2. The inventory adjustment method of a vending system according to claim 1,
selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store specifically comprises the following steps:
when the real-time inventory of the selling store is lower than the corresponding consumption rate, selecting the selling store as a target selling store, and obtaining the inventory replenishment quantity of the target selling store;
and when the real-time inventory of the selling store is higher than or equal to the corresponding inventory supply threshold value, the inventory supply threshold value is the sum of the inventory replenishment quantity of the target selling store and the residual inventory threshold value corresponding to the selling store, and the selling store is selected as the supply selling store.
3. The inventory adjustment method of a vending system according to claim 1, further comprising:
selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store specifically comprises the following steps:
when the real-time inventory of the selling store is lower than the corresponding consumption rate, selecting the selling store as a target selling store, and obtaining the inventory replenishment quantity of the target selling store;
determining whether the target store is a preferred supply store,
if so, selecting the selling store as a supply selling store when the real-time inventory of the selling store is higher than or equal to the inventory replenishment quantity of the target selling store;
if not, when the real-time inventory of the selling store is higher than the corresponding inventory supply threshold value, the inventory supply threshold value is the sum of the inventory replenishment quantity of the target selling store and the residual inventory threshold value corresponding to the selling store, and the selling store is selected as the supply selling store.
4. The inventory adjustment method of a vending system according to claim 2 or 3, wherein the total number of the vending stores in the group of vending stores is defined as i, i is a positive integer, when a plurality of vending stores are selected as the supply vending stores, the supply vending store with the largest inventory consumption ratio is selected as the optimal supply vending store, and the inventory consumption ratio is calculated by the following formula:
Ki＝Storagei/Vi；
in the formula, KiRepresenting the stock consumption ratio of the ith sales outlet; storageiRepresenting real-time inventory of the ith store; viThe representation represents the consumption rate of the ith store.
5. The inventory adjustment method for vending system according to claim 4, wherein the remaining inventory threshold is calculated by the formula:
Si＝Vi*Dplus；
Dplus＝Storagetotal/Vtotal；
in the formula, SiIndicating a remaining inventory threshold for the ith store; viIndicating the rate of consumption of the ith storeRate; dplusRepresenting estimated days of sale for a group of sales outlets; storagetotalReal-time inventory representing groups of sales outlets; vtotalRepresenting the consumption rate of the group of sales outlets.
6. The inventory adjustment method for vending system according to claim 4, wherein the formula for calculating the stock replenishment quantity of the target vending store is:
Supplyi＝Vi-Storagei；
in the formula, SupplyiIndicating the inventory replenishment quantity of the ith sales outlet; viRepresenting the consumption rate of the ith store; storageiRepresenting the real-time inventory of the ith store.
7. The inventory adjustment method of a vending system according to claim 1,
selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store specifically comprises the following steps:
s100, when the real-time inventory of the selling store is lower than the corresponding consumption rate, selecting the selling store as a target selling store, and obtaining the inventory replenishment quantity of the target selling store; the number of the selected target selling shops is at least one, the number of the target selling shops is defined to be n, and n is a positive integer; defining the selling stores except the target selling store as a to-be-selected supply selling store group, and defining the number of the selling stores of the to-be-selected supply selling store group as m, wherein m is a positive integer;
s200, after n target selling stores are selected, selecting supply selling stores for each target selling store one by one according to the sequence of the priority of the target selling stores from high to low for stock replenishment;
s210, selecting a supply sales store for the target sales store from the group of supply sales stores to be selected, specifically:
s211, calculating the supply difference value of each selling store of the selling store group to be selected, wherein the calculation formula of the supply difference value is as follows:
Differm＝Storagem-Sm-Supplyn；
in the formula, DiffermA supply difference value representing an mth store of the set of stores to be selected for supply; storagemReal-time inventory representing an mth store of the set of stores to be selected for supply; smA remaining inventory threshold value representing an mth store to be selected for supply to the group of stores; supplynIndicating the stock replenishment quantity of the nth target sales outlet;
s212, selecting a selling store with a supply difference value of positive or 0 and the smallest supply difference value as a supply selling store of the target selling store from selling stores of the group of selling stores to be selected;
s220 repeats step S210 until each target store has completed selection of a supply store.
8. The inventory adjustment method of a vending system according to claim 1,
selecting a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store specifically comprises the following steps:
s300, when the real-time inventory of the selling store is lower than the corresponding consumption rate, selecting the selling store as a target selling store, and obtaining the inventory replenishment quantity of the target selling store; the number of the selected target selling shops is at least one, the number of the target selling shops is defined to be n, and n is a positive integer; defining the selling shops except the target selling shop as a group of supply selling shops to be selected;
s400, after n target selling stores are selected, selecting supply selling stores for each target selling store one by one according to the sequence of the priorities of the target selling stores from high to low for inventory replenishment;
s410, selecting all the selling stores with the priority lower than that of the target selling store from the group of the selling stores to be selected as the group of the preferable selling stores to be selected, and defining the number of the selling stores of the group of the preferable selling stores to be selected as p, wherein p is a positive integer;
s411 selects a supply sales store for the target sales store from the group of preferred supply sales stores to be selected, specifically:
s411-1, calculating the supply difference value of each preferred supply sales outlet of the sales outlet group to be selected, wherein the calculation formula of the supply difference value is as follows:
Differp＝Storagep-Supplyn；
in the formula, DifferpA supply difference value representing a pth store of the group of preferred supply stores to be selected; supplynIndicating the stock replenishment quantity of the nth target sales outlet; storagepReal-time inventory representing the pth store of the group of preferred supply stores to be selected;
s411-2, selecting a selling store with a supply difference value of positive or 0 and the smallest supply difference value as a supply selling store of the target selling store from the selling stores of the to-be-selected preferred supply selling store group;
s420 repeats step S410 until each target store has completed selection of a supply store.
9. A vending system comprising an information cloud platform, at least one automated dispatch mechanism, and a group of venues, the group of venues comprising at least two venues, the automated dispatch mechanism having an automated travel system for unmanned driving, wherein:
the information cloud platform is arranged to select a target selling store and a supply selling store according to the real-time inventory and consumption rate of each selling store, generate an inventory adjusting instruction and send the inventory adjusting instruction to the automatic scheduling mechanism, the target selling store and the supply selling store through a network;
the automatic scheduling mechanism is configured to perform an inventory adjustment operation in response to an inventory adjustment instruction, where the inventory adjustment operation is specifically: the automated dispatch mechanism takes the goods from the supply store and then replenishes the inventory to the target store.
10. The vending system according to claim 9,
each goods selling store comprises a goods warehouse, an automatic storing and taking device and a control device;
the warehouse is used for storing goods;
the automatic access device is butted with the automatic dispatching mechanism and is used for taking out and conveying the goods in the goods warehouse to the automatic dispatching mechanism and storing the goods conveyed by the automatic dispatching mechanism to the goods warehouse;
the control device is electrically connected with the automatic access device, realizes information interaction with the information cloud platform through a network, and is configured to respond to the inventory adjustment instruction and control the automatic access device to access.
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