CN112734320A - Purchasing task plan generation method, system and terminal - Google Patents
Purchasing task plan generation method, system and terminal Download PDFInfo
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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
- 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
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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
- G06Q10/06314—Calendaring for a resource
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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
- G06Q10/06315—Needs-based resource requirements planning or analysis
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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
- G06Q10/06316—Sequencing of tasks or work
Abstract
The purchasing task plan generating method, the purchasing task plan generating system and the purchasing task plan generating terminal solve the problems that in the prior art, software with functions of purchasing planning personnel in terms of purchasing task plan making is lacked to deal with delivery stability of a supply side, so that many purchasing demand predictions are dependent on manual processing, and the phenomena of excessive stock and shortage of goods often occur. The invention provides a purchasing task plan generating method, which realizes the generation of a purchasing task plan through the logic of purchasing task queue building, purchasing supply queue building and mutual matching of the queues, more reasonably arranges the purchasing tasks of purchasing personnel, solves the problems of excessive stock and shortage of goods and further improves the purchasing efficiency of the purchasing personnel. Therefore, the delivery stability of the supply chain of the medical consumable e-commerce platform is ensured.
Description
Technical Field
The present invention relates to the field of supply chain purchasing, and in particular, to a method, a system, and a terminal for generating a purchasing task plan.
Background
The medical consumable e-commerce platform usually sells stock goods and ordered goods, and the purchasing and delivery systems of the two kinds of goods are different, so that great difficulty is brought to supply chain management, such as: the subscription service must be said to be done if it commits to the customer's delivery period, ensuring delivery. The replenishment task of the stock goods must be delivered according to the schedule, so that the shortage of goods is avoided. To analyze whether the current supply situation (including inventory and in-transit purchase orders) can meet the demand, the buyer attends to the delivery of the task. According to the purchasing task issued by the planner, the provider is contacted to issue an order in time, and the goods are guaranteed to be delivered in time within the specified time, so that the task can be completed on time. At present, a plurality of supply chain delivery software on the market are designed without involving the function of the planning aspect of the purchasing task plan of purchasing planning personnel to deal with the delivery stability of a supply side, so that the prediction of a plurality of purchasing demands is dependent on manual processing, and the phenomena of excessive stock and shortage of goods often occur.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, an object of the present invention is to provide a method, a system, and a terminal for generating a procurement mission plan, which are used to solve the problems in the prior art that software that is not available for the procurement planning staff to perform the function of planning the procurement mission plan is not available to deal with the delivery stability of the supplier side, and thus many procurement demand forecasts are dependent on manual processing, which causes the phenomena of stock excess and stock shortage to occur frequently.
To achieve the above and other related objects, the present invention provides a method for generating a procurement mission plan, comprising: the method comprises the following steps: arranging the commodity purchasing tasks based on the delivery time of the commodity purchasing tasks corresponding to the same commodity to obtain a purchasing task queue; wherein each commodity purchasing task comprises: commodity purchasing demand and delivery time; arranging each purchasing stock based on the warehousing time of the purchasing stock corresponding to the commodity to obtain a purchasing supply queue; wherein each procurement inventory comprises: inventory and warehousing time; and the inventory comprises: one or more of the current real inventory, the safe inventory, and the estimated inventory; judging whether the commodity is a commodity needing a purchasing plan or not based on purchasing plan conditions; and if so, obtaining a purchasing task planning result meeting the delivery of each commodity purchasing task according to the purchasing task queue and the purchasing supply queue.
In an embodiment of the present invention, the purchasing plan condition includes: judging whether the sum of the number of the task gaps of the commodity and a first predicted sales volume of the commodity in a first predicted number of days is a positive value or not; wherein the number of task gaps comprises: a positive number of gaps corresponding to inventory remaining and/or a negative number of gaps corresponding to inventory missing; the number of the task gaps is the difference value between the sum of commodity purchasing demand of each commodity purchasing task and the sum of stock of each purchasing stock; and the first predicted sales volume of the commodity purchasing tasks is obtained by calculating the sum of commodity purchasing demand volumes corresponding to the commodity purchasing tasks and the first predicted days.
In an embodiment of the present invention, if yes, obtaining a purchasing task planning result including a purchasing planning condition of each commodity purchasing task according to the purchasing task queue and the purchasing supply queue includes: and when the commodity is the commodity needing the purchasing plan, obtaining a safe replenishment plan result and/or an emergency replenishment plan result of the commodity according to the purchasing task queue and the purchasing supply queue based on a safe replenishment condition and/or an emergency replenishment condition.
In an embodiment of the present invention, obtaining the safe replenishment plan result and/or the emergency replenishment plan result of the commodity according to the purchase task queue and the purchase supply queue based on the safe replenishment condition and/or the emergency replenishment condition includes: if the safe replenishment condition is met, obtaining the safe replenishment plan result of the commodity according to the demand quantity of each commodity purchasing task in the purchasing tasks, the stock quantity of the purchasing stock and the warehousing time: wherein the safe replenishment plan result comprises: obtaining safe purchase planning quantity and safe purchase planning delivery time based on a safe purchase planning algorithm; if the emergency replenishment condition is met, acquiring an emergency replenishment plan result of the commodities according to the demand of each commodity purchasing task in the purchasing tasks, the stock of the purchasing stock and the warehousing time: wherein the emergency replenishment plan result comprises: and obtaining the emergency procurement planning quantity and the emergency procurement planning delivery time based on the emergency procurement planning algorithm.
In an embodiment of the present invention, the safe replenishment condition includes: judging whether the real stock in each purchasing stock is larger than a second predicted sales volume of the commodity needing to be subjected to the purchasing plan within a second predicted number of days and is smaller than or equal to the safe stock; the second predicted sales volume of the commodities is obtained by calculating the sum of the commodity purchasing demand volumes of the commodity purchasing tasks and the second predicted days; and the second predicted number of days is less than the first predicted number of days.
In an embodiment of the present invention, the emergency replenishment condition includes: judging whether the real inventory in each purchasing inventory is not larger than a second predicted sales volume of the commodity needing to be subjected to the purchasing plan within a second predicted number of days; the second predicted sales volume of the commodities is obtained by calculating the sum of commodity purchasing demand volumes of all commodity purchasing tasks and a second predicted number of days; and the second predicted number of days is less than the first predicted number of days.
In an embodiment of the present invention, the secure procurement cost-effective method includes: the safe procurement amount algorithm comprises the following steps: obtaining a safe purchasing planned amount according to the first predicted sales amount and the number of the task gaps; the safe procurement delivery time algorithm comprises the following steps: obtaining safe purchasing planning time according to the current date and the consumable inventory days; wherein the consumable stock is related to the real stock amount and the purchasing demand amount of each commodity purchasing task.
In an embodiment of the present invention, the emergency procurement cost-effective method includes: the emergency purchase amount algorithm comprises the following steps: acquiring the planned quantity of emergency purchasing according to the quantity of the task gaps; an emergency procurement lead time algorithm comprising: and obtaining the emergency purchase scheduling time according to the current date and the preset emergency purchase delivery reserved days.
To achieve the above and other related objects, the present invention provides a procurement mission plan generating system, including: the system comprises: the purchasing task queue module is used for arranging the purchasing tasks of the commodities based on the delivery time of the purchasing tasks of the commodities corresponding to the same commodity so as to obtain a purchasing task queue; wherein each commodity purchasing task comprises: commodity purchasing demand and delivery time; the purchasing supply queue module is used for arranging all the purchasing stocks based on the warehousing time of the purchasing stocks corresponding to the commodities so as to obtain a purchasing supply queue; wherein each procurement inventory comprises: inventory and warehousing time; and the inventory comprises: one or more of the current real inventory, the safe inventory, and the estimated inventory; the purchase plan commodity judging module is connected with the purchase task queue module and the purchase supply queue module and is used for judging whether the commodity is a commodity needing a purchase plan or not based on a purchase plan condition; and the purchasing planning result generating module is connected with the purchasing planning commodity module and is used for obtaining a purchasing task planning result meeting the delivery of each commodity purchasing task according to the purchasing task queue and the purchasing supply queue when the commodity is the commodity needing purchasing planning.
To achieve the above and other related objects, the present invention provides a purchasing task plan generating terminal, including: a memory for storing a computer program; and the processor is used for executing the purchasing task plan generating method.
As described above, the present invention is a method, system and terminal for generating a procurement mission plan, and has the following advantages: the invention provides a purchasing task plan generating method, which realizes the generation of a purchasing task plan through the logic of purchasing task queue building, purchasing supply queue building and mutual matching of the queues, more reasonably arranges the purchasing tasks of purchasing personnel, solves the problems of excessive stock and shortage of goods and further improves the purchasing efficiency of the purchasing personnel. Therefore, the delivery stability of the supply chain of the medical consumable e-commerce platform is ensured.
Drawings
Fig. 1 is a flowchart illustrating a method for generating a procurement mission plan according to an embodiment of the invention.
FIG. 2 is a diagram of a procurement task queue according to an embodiment of the invention.
FIG. 3 is a diagram illustrating a purchase supply queue according to an embodiment of the present invention.
FIG. 4 is a diagram illustrating a mapping between a purchase task queue and a purchase supply queue according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a procurement mission plan generating system according to an embodiment of the invention.
Fig. 6 is a schematic structural diagram of a purchasing task plan generating terminal according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It is noted that in the following description, reference is made to the accompanying drawings which illustrate several embodiments of the present invention. It is to be understood that other embodiments may be utilized and that mechanical, structural, electrical, and operational changes may be made without departing from the spirit and scope of the present invention. The following detailed description is not to be taken in a limiting sense, and the scope of embodiments of the present invention is defined only by the claims of the issued patent. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Spatially relative terms, such as "upper," "lower," "left," "right," "lower," "below," "lower," "over," "upper," and the like, may be used herein to facilitate describing one element or feature's relationship to another element or feature as illustrated in the figures.
Throughout the specification, when a part is referred to as being "connected" to another part, this includes not only a case of being "directly connected" but also a case of being "indirectly connected" with another element interposed therebetween. In addition, when a certain part is referred to as "including" a certain component, unless otherwise stated, other components are not excluded, but it means that other components may be included.
The terms first, second, third, etc. are used herein to describe various elements, components, regions, layers and/or sections, but are not limited thereto. These terms are only used to distinguish one element, component, region, layer or section from another element, component, region, layer or section. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the scope of the present invention.
Also, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," and/or "comprising," when used in this specification, specify the presence of stated features, operations, elements, components, items, species, and/or groups, but do not preclude the presence, or addition of one or more other features, operations, elements, components, items, species, and/or groups thereof. The terms "or" and/or "as used herein are to be construed as inclusive or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of the following: a; b; c; a and B; a and C; b and C; A. b and C ". An exception to this definition will occur only when a combination of elements, functions or operations are inherently mutually exclusive in some way.
The embodiment of the invention provides a purchasing task plan generating method, which solves the problems that in the prior art, due to the fact that software with functions related to the planning aspect of purchasing task plans of purchasing planners is lacked to deal with delivery stability of a supply side, much purchasing demand prediction depends on manual processing, the phenomena of excessive stock and shortage of goods often occur, and the like. The invention provides a purchasing task plan generating method, which realizes the generation of a purchasing task plan through the logic of purchasing task queue building, purchasing supply queue building and mutual matching of the queues, more reasonably arranges the purchasing tasks of purchasing personnel, solves the problems of excessive stock and shortage of goods and further improves the purchasing efficiency of the purchasing personnel. Therefore, the delivery stability of the supply chain of the medical consumable e-commerce platform is ensured.
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that those skilled in the art can easily implement the embodiments of the present invention. The present invention may be embodied in many different forms and is not limited to the embodiments described herein.
Fig. 1 is a schematic flow chart showing a method for generating a procurement mission plan according to an embodiment of the invention.
The method comprises the following steps:
step S11: arranging the commodity purchasing tasks based on the delivery time of the commodity purchasing tasks corresponding to the same commodity to obtain a purchasing task queue; wherein each commodity purchasing task comprises: commodity procurement demand and delivery time.
Optionally, the commodity purchasing task is formulated by a planner according to a commodity order requirement, wherein the commodity order requirement is displayed in a commodity requirement queue, and the commodity requirement queue is constructed in a manner that: and based on the reservation requirement and the delivery time of each commodity order, logically arranging each commodity order, preferentially meeting the requirement of reserving the stock, and then meeting the requirement of not needing to reserve the stock so as to obtain a commodity requirement queue. Enabling addition, removal and updating of the commodity purchasing tasks in the purchasing task queue based on addition, removal and updating of the commodity orders in the commodity demand queue;
specifically, when a customer orders a commodity, a commodity order demand needs to be inserted into the commodity demand queue: and when the customer orders the commodities on the commodity detail page, displaying three days after the delivery date of the preferred supplier corresponding to the commodities by the delivery date. When the customer places an order, the maximum value of the purchase delivery period of the preferred supplier of each commodity is taken, and 3 days are added to be used as the delivery period of the order. And inserting the purchase quantity of each commodity in the purchase order and the delivery period of the purchase order into a demand queue of each commodity as parameters, further generating a new commodity purchase task, and inserting the new commodity purchase task into the purchase task queue.
There are two cases for the goods order removal demand queue: when the ordering requirement of a client is delivered, namely the delivery is finished and the return is finished, the commodity order is moved out of the requirement queue; and in the other mode, when the customer service cancels the order in the background or refunds a certain commodity order completely, the commodity order is moved out of the demand queue, and then the purchase task queue is moved out.
There are two cases for the update demand queue: firstly, after a customer service carries out partial refund on a certain commodity order in the background, the quantity of commodity demands in a demand queue needs to be updated synchronously; in another aspect, after the delivery period of the purchase order is changed, the delivery period of the commodity order of the purchase order needs to be updated synchronously. And updating the corresponding commodity purchasing task in the purchasing task queue.
Optionally, as shown in fig. 2, the arranging the commodity purchasing tasks based on the delivery time of the commodity purchasing task to obtain the purchasing task queue includes: the commodity purchasing tasks are arranged according to delivery time from morning to night. Specifically, the earlier the lead time is, the higher the lead time is, the priority is given, and otherwise, the later the lead time is, the later the lead.
Optionally, the goods are ordered goods, and the goods are prepared for the ordered goods, so that the ordering requirement of the customer is met, and delivery needs to be carried out in the appointed delivery period only when the customer orders the goods. However, for stock reserve requirements, there may be large acquisition tasks that need delivery, as well as safe inventory of stock. The stock item is counted as delivered only if the saleable stock number crosses the safety stock line.
Step S12: arranging each purchasing stock based on the warehousing time of the purchasing stock corresponding to the commodity to obtain a purchasing supply queue; wherein each procurement inventory comprises: inventory and warehousing time; and the inventory comprises: one or more of current real inventory, safe inventory, and projected inventory.
Optionally, as shown in fig. 3, the procurement inventories are arranged based on the warehousing time of the procurement inventory to obtain an inventory supply queue.
Optionally, the warehousing time includes: and predicting the warehousing time and/or the warehousing time.
Optionally, the real inventory is an inventory in which the commodity is put in storage, and can be used at any time; the safety stock is prepared safety stock which cannot be taken out for use under normal conditions; the projected inventory is an amount that has been ordered from a supplier and has not been warehoused.
Optionally, the purchase supply queue may also arrange each commodity purchase task in the purchase task queue, so that it can be clearly seen which commodity purchase task can be delivered on time; specifically, each purchasing stock in the acquisition and supply queue (acquisition order) is aligned with a commodity purchasing task that can be supplied by the stock, as shown in fig. 4, it can be clearly seen which commodity purchasing tasks can be supplied by each stock in the acquisition order.
Step S13: and judging whether the commodity is the commodity needing the purchasing plan or not based on the purchasing plan condition.
Optionally, the purchasing plan condition includes: judging whether the sum of the number of the task gaps of the commodity and a first predicted sales volume of the commodity in a first predicted number of days is a positive value or not; wherein the number of task gaps comprises: a positive number of gaps corresponding to inventory remaining and/or a negative number of gaps corresponding to inventory missing;
the number of the task gaps is the difference value between the sum of commodity purchasing demand of each commodity purchasing task and the sum of stock of each purchasing stock; wherein, the difference value can be a positive value or a negative value; and the first predicted sales volume of the commodity purchasing tasks is obtained by calculating the sum of commodity purchasing demand volumes corresponding to the commodity purchasing tasks and the first predicted days.
Preferably, the number of the task gaps is calculated by subtracting the total stock of the purchase supply queue (the total stock of each purchase stock) from the total demand of the purchase task queue (the total stock of each purchase task); the first predicted sales volume of the commodity task is calculated by multiplying the total demand volume of the purchasing task queue (the sum of the commodity purchasing demand volumes of the commodity purchasing tasks) by a first predicted number of days; wherein the first predicted number of days is determined according to specific needs, such as 30 days.
For example, the procurement planning conditions include:
when (30 days predicted sales + number of task gaps) >0, the good needs to be added to the procurement plan.
Wherein, the task gap number is equal to the total demand of the purchase task queue, the real inventory number and the expected inventory; the 30-day forecasted sales is forecasted sales of the good for 30 days in the future.
Step S14: and if so, obtaining a purchasing task planning result meeting the delivery of each commodity purchasing task according to the purchasing task queue and the purchasing supply queue.
Optionally, when the commodity is judged to be a commodity needing a purchasing plan, a safe replenishment plan result and/or an emergency replenishment plan result of the commodity are obtained based on a safe replenishment condition and/or an emergency replenishment condition according to the purchasing task queue and the purchasing supply queue.
Optionally, obtaining the safe replenishment plan result and/or the emergency replenishment plan result of the commodity according to the purchase task queue and the purchase supply queue based on the safe replenishment condition and/or the emergency replenishment condition includes:
if the safe replenishment condition is met, obtaining a safe replenishment plan result of the commodities according to the demand of each commodity purchasing task in the purchasing tasks, the stock of the purchasing stock and the warehousing time so as to perform safe replenishment; wherein the safe replenishment plan result comprises: obtaining safe purchase planning quantity and safe purchase planning delivery time based on a safe purchase planning algorithm;
if the requirement meets the emergency replenishment condition, acquiring an emergency replenishment plan result of the commodities according to the demand of each commodity purchasing task in the purchasing tasks, the stock of the purchasing stock and the warehousing time so as to perform emergency replenishment; wherein the emergency replenishment plan result comprises: and obtaining the emergency procurement planning quantity and the emergency procurement planning delivery time based on the emergency procurement planning algorithm.
It should be noted that, the judgment of the stock is real stock which can be used at any time or stock which can not be used currently is carried out according to the warehousing time.
Optionally, the safe replenishment condition includes: judging whether the real stock in each purchasing stock is larger than a second predicted sales volume of the commodity needing to be subjected to the purchasing plan within a second predicted number of days and is smaller than or equal to the safe stock; the second predicted sales volume of the commodities is obtained by calculating the sum of the commodity purchasing demand volumes of the commodity purchasing tasks and the second predicted days; and the second predicted number of days is less than the first predicted number of days.
Preferably, the second predicted sales volume is calculated by multiplying the total demand of the purchasing task queue (the sum of the commodity purchasing demands of each commodity purchasing task) by the second predicted number of days; wherein the second predicted number of days is determined according to specific needs, and is smaller than the first predicted number of days, such as 7 days.
For example, the safe restocking condition includes:
when the stock available for sale in 7 days is less than the current stock available for sale, namely the safe stock number, the commodity is a commodity needing safe replenishment;
wherein, the 7-day saleable inventory is obtained by multiplying the total demand of the purchasing task queue (the sum of the commodity purchasing demands of each commodity purchasing task) by 7; the currently available inventory is real inventory.
Optionally, the emergency replenishment condition includes: judging whether the real inventory in each purchasing inventory is not larger than a second predicted sales volume of the commodity needing to be subjected to the purchasing plan within a second predicted number of days; the second predicted sales volume of the commodities is obtained by calculating the sum of commodity purchasing demand volumes of all commodity purchasing tasks and a second predicted number of days; and the second predicted number of days is less than the first predicted number of days.
Preferably, the second predicted sales volume is calculated by multiplying the total demand of the purchasing task queue (the sum of the commodity purchasing demands of each commodity purchasing task) by the second predicted number of days; wherein the second predicted number of days is determined according to specific needs, and is smaller than the first predicted number of days, such as 7 days.
For example, the emergency replenishment condition comprises:
when the current available stock number is less than 7 days, the stock can be sold, the commodity is a commodity needing urgent replenishment, and special attention is needed.
Wherein, the 7-day saleable inventory is obtained by multiplying the total demand of the purchasing task queue (the sum of the commodity purchasing demands of each commodity purchasing task) by 7; the currently available inventory is real inventory.
Optionally, if the commodity is a commodity needing safe replenishment, a safe replenishment plan is made; wherein the safe replenishment plan result comprises: obtaining safe purchase planning quantity and safe purchase planning delivery time based on a safe purchase planning algorithm;
the safe procurement cost-effective method comprises the following steps:
the safe purchasing amount algorithm is used for obtaining a safe purchasing planned amount according to the first predicted sales amount and the number of the task gaps;
the safe procurement delivery time algorithm is used for obtaining safe procurement planning time according to the current date and the consumable inventory days; wherein the consumable stock is related to the real stock amount and the purchasing demand amount of each commodity purchasing task. Specifically, the consumable stock is related to the purchasing demand and the delivery time of each commodity purchasing task, that is, the actual stock amount is the number of days consumed by each commodity purchasing task.
Preferably, the planned quantity of safe procurement is the sum of the first predicted sales quantity and the quantity of the task gaps; the safe purchasing planning time is the current date plus the date of the consumable inventory days;
for example,
the secure procurement quantity algorithm comprises the following steps: the safe purchase number is 30 days to predict the sales volume plus the number of task gaps;
the safe procurement delivery time algorithm comprises the following steps: delivery date is current date + remaining days spent inventory.
Optionally, if the commodity is a commodity needing urgent replenishment, an urgent replenishment plan is made; wherein the emergency replenishment plan result comprises: obtaining an emergency procurement planning amount and an emergency procurement planning delivery time based on an emergency procurement planning algorithm;
the emergency procurement cost-effective method comprises the following steps:
the emergency purchasing quantity algorithm obtains an emergency purchasing planning quantity according to the quantity of the task gaps;
and the emergency purchase delivery time algorithm obtains the emergency purchase planning time according to the current date and the preset emergency purchase delivery reserved days. The number of reserved delivery days is determined according to specific requirements, and is not limited in the application;
preferably, the planned quantity of emergency procurement is the quantity of the task gaps; the emergency purchase planning time is the current date plus the date of the reserved number of days of purchase delivery.
For example, the emergency procurement amount algorithm includes: the planned quantity of emergency purchase is equal to the number of task gaps; the emergency procurement delivery time algorithm comprises the following steps: the time of the emergency purchase plan is the current date +5 days.
Similar to the principle of the above embodiment, the present invention provides a purchasing task plan generating system.
Specific embodiments are provided below in conjunction with the attached figures:
fig. 5 is a schematic structural diagram of a system of a procurement mission plan generation method according to an embodiment of the invention.
The system comprises:
a purchase task queue module 51, configured to arrange the commodity purchase tasks based on delivery time of the commodity purchase tasks corresponding to the same commodity to obtain a purchase task queue; wherein each commodity purchasing task comprises: commodity purchasing demand and delivery time;
a purchase supply queue module 52, configured to arrange each purchase inventory based on the warehousing time of the purchase inventory corresponding to the commodity, so as to obtain a purchase supply queue; wherein each procurement inventory comprises: inventory and warehousing time; and the inventory comprises: one or more of the current real inventory, the safe inventory, and the estimated inventory;
a commodity judging purchasing plan module 53, connected to the purchasing task queue module 51 and the purchasing supply queue module 52, for judging whether the commodity is a commodity requiring a purchasing plan based on a purchasing plan condition;
and a purchasing planning result generating module 54, connected to the purchasing planning goods module 53, for obtaining a purchasing task planning result satisfying delivery of each goods purchasing task according to the purchasing task queue and the purchasing supply queue when the goods are the goods to be subjected to the purchasing plan.
Optionally, the purchase task queue module 51 may also add, remove, and update the goods purchase tasks in the purchase task queue.
Optionally, the purchasing supply queue module 52 arranges the purchasing stocks based on the warehousing time of the purchasing stocks to obtain the stock supply queue.
Optionally, the real inventory is an inventory in which the commodity is put in storage, and can be used at any time; the safety stock is prepared safety stock which cannot be taken out for use under normal conditions; the projected inventory is an amount that has been ordered from a supplier and has not been warehoused.
Optionally, the purchasing plan condition includes: the determine purchase plan goods module 53 determines whether the sum of the number of task gaps of the goods and the first predicted sales of the goods within the first predicted number of days is a positive value; wherein the number of task gaps comprises: corresponding to a positive number of gaps remaining in inventory and/or a negative number of gaps missing in inventory. The number of the task gaps is the difference value between the sum of commodity purchasing demand of each commodity purchasing task and the sum of stock of each purchasing stock; wherein, the difference value can be a positive value or a negative value; and the first predicted sales volume of the commodity purchasing tasks is obtained by calculating the sum of commodity purchasing demand volumes corresponding to the commodity purchasing tasks and the first predicted days.
Preferably, the number of the task gaps is calculated by subtracting the total stock of the purchase supply queue (the total stock of each purchase stock) from the total demand of the purchase task queue (the total stock of each purchase task); the first predicted sales volume of the commodity task is calculated by multiplying the total demand volume of the purchasing task queue (the sum of the commodity purchasing demand volumes of the commodity purchasing tasks) by a first predicted number of days; wherein the first predicted number of days is determined according to specific needs, such as 30 days.
Optionally, when it is determined that the commodity is a commodity requiring a purchasing plan, the purchasing plan result generating module 54 obtains a safe purchasing plan result and/or an emergency purchasing plan result of the commodity according to the purchasing task queue and the purchasing supply queue based on the safe purchasing condition and/or the emergency purchasing condition.
Optionally, the obtaining, by the purchasing plan result generating module 54, a safe replenishment plan result and/or an emergency replenishment plan result of the commodity according to the purchasing task queue and the purchasing supply queue based on the safe replenishment condition and/or the emergency replenishment condition includes:
if the safe replenishment condition is met, the purchasing plan result generating module 54 obtains the safe replenishment plan result of the commodity according to the demand of each commodity purchasing task in the purchasing tasks, the stock of the purchasing inventory and the warehousing time, so as to perform safe replenishment; wherein the safe replenishment plan result comprises: obtaining safe purchase planning quantity and safe purchase planning delivery time based on a safe purchase planning algorithm;
if the requirement meets the requirement of the emergency replenishment, the purchasing plan result generating module 54 obtains the emergency replenishment plan result of the commodity according to the demand of each commodity purchasing task in the purchasing tasks, the stock of the purchasing stock and the warehousing time so as to perform the emergency replenishment; wherein the emergency replenishment plan result comprises: and obtaining the emergency procurement planning quantity and the emergency procurement planning delivery time based on the emergency procurement planning algorithm.
It should be noted that the procurement planning result generation module 54 determines whether the inventory is real inventory ready for use or inventory unavailable for current use according to the warehousing time.
Optionally, the safe replenishment condition includes: the purchasing plan result generating module 54 determines whether the actual stock in each purchasing stock is greater than a second predicted sales volume of the commodity needing to be subjected to the purchasing plan within a second predicted number of days, and is less than or equal to the safe stock; the second predicted sales volume of the commodities is obtained by calculating the sum of the commodity purchasing demand volumes of the commodity purchasing tasks and the second predicted days; and the second predicted number of days is less than the first predicted number of days. Preferably, the second predicted sales volume is calculated by multiplying the total demand of the purchasing task queue (the sum of the commodity purchasing demands of each commodity purchasing task) by the second predicted number of days; wherein the second predicted number of days is determined according to specific needs, and is smaller than the first predicted number of days, such as 7 days.
Optionally, if the commodity is a commodity needing safe replenishment, the purchasing plan result generating module 54 makes a safe replenishment plan; wherein the safe replenishment plan result comprises: obtaining safe purchase planning quantity and safe purchase planning delivery time based on a safe purchase planning algorithm;
the safe procurement cost-effective method comprises the following steps:
a safe procurement amount algorithm, wherein the procurement plan result generation module 54 obtains a safe procurement plan amount according to the first predicted sales amount and the number of the task gaps;
a safe procurement delivery time algorithm, wherein the procurement planning result generating module 54 obtains the safe procurement planning time according to the current date and the consumable inventory days; wherein the consumable stock is related to the real stock amount and the purchasing demand amount of each commodity purchasing task. Specifically, the consumable stock is related to the purchasing demand and the delivery time of each commodity purchasing task, that is, the actual stock amount is the number of days consumed by each commodity purchasing task.
Preferably, the planned quantity of safe procurement is the sum of the first predicted sales quantity and the quantity of the task gaps; the safe purchasing planning time is the current date plus the date of the consumable inventory days;
optionally, the emergency replenishment condition includes: the purchasing plan result generating module 54 determines whether the actual inventory in each purchasing inventory is not greater than a second predicted sales volume of the commodity needing the purchasing plan within a second predicted number of days; the second predicted sales volume of the commodities is obtained by calculating the sum of commodity purchasing demand volumes of all commodity purchasing tasks and a second predicted number of days; and the second predicted number of days is less than the first predicted number of days. Preferably, the second predicted sales volume is calculated by multiplying the total demand of the purchasing task queue (the sum of the commodity purchasing demands of each commodity purchasing task) by the second predicted number of days; wherein the second predicted number of days is determined according to specific needs, and is smaller than the first predicted number of days, such as 7 days.
Optionally, if the commodity is a commodity needing urgent replenishment, the purchasing plan result generating module 54 makes an urgent replenishment plan; wherein the emergency replenishment plan result comprises: obtaining an emergency procurement planning amount and an emergency procurement planning delivery time based on an emergency procurement planning algorithm;
the emergency procurement cost-effective method comprises the following steps:
an emergency procurement amount algorithm, wherein the procurement plan result generating module 54 obtains an emergency procurement plan amount according to the number of the task gaps;
and (4) an emergency procurement delivery time algorithm, wherein the procurement planning result generating module 54 obtains the emergency procurement planning time according to the current date and the preset number of reserved emergency procurement delivery days. The number of reserved delivery days is determined according to specific requirements, and is not limited in the application;
preferably, the planned quantity of emergency procurement is the quantity of the task gaps; the emergency purchase planning time is the current date plus the date of the reserved number of days of purchase delivery.
Fig. 6 is a schematic structural diagram of the purchasing task plan generating terminal 60 in the embodiment of the present invention.
The purchasing task plan generating terminal 60 includes: a memory 61 and a processor 62, the memory 61 being for storing computer programs; the processor 62 runs a computer program to implement the procurement mission plan generation method as described in fig. 1.
Optionally, the number of the memories 61 may be one or more, the number of the processors 62 may be one or more, and fig. 6 illustrates one example.
Optionally, the processor 62 in the purchasing mission plan generating terminal 60 may load one or more instructions corresponding to the processes of the application program into the memory 61 according to the steps shown in fig. 1, and the processor 62 runs the application program stored in the first memory 61, so as to implement various functions in the purchasing mission plan generating method shown in fig. 1.
Optionally, the memory 61 may include, but is not limited to, a high speed random access memory, a non-volatile memory. Such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state storage devices; the Processor 62 may include, but is not limited to, a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
Optionally, the Processor 62 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
The present invention also provides a computer-readable storage medium storing a computer program which, when executed, implements the procurement task plan generating method shown in fig. 1. The computer-readable storage medium may include, but is not limited to, floppy diskettes, optical disks, CD-ROMs (compact disc-read only memories), magneto-optical disks, ROMs (read-only memories), RAMs (random access memories), EPROMs (erasable programmable read only memories), EEPROMs (electrically erasable programmable read only memories), magnetic or optical cards, flash memory, or other type of media/machine-readable medium suitable for storing machine-executable instructions. The computer readable storage medium may be a product that is not accessed by the computer device or may be a component that is used by an accessed computer device.
In summary, the method, the system and the terminal for generating the purchasing task plan are used for solving the problems that in the prior art, due to the fact that software with functions related to the planning of the purchasing task plan of purchasing planners is lacked to deal with the delivery stability of a supplier, much purchasing demand prediction depends on manual processing, the phenomena of excessive stock and shortage of goods often occur, and the like. The invention provides a purchasing task plan generating method, which realizes the generation of a purchasing task plan through the logic of purchasing task queue building, purchasing supply queue building and mutual matching of the queues, more reasonably arranges the purchasing tasks of purchasing personnel, solves the problems of excessive stock and shortage of goods and further improves the purchasing efficiency of the purchasing personnel. Therefore, the delivery stability of the supply chain of the medical consumable e-commerce platform is ensured. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles of the present invention and its efficacy, and are not to be construed as limiting the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A method for generating a procurement mission plan, the method comprising:
arranging the commodity purchasing tasks based on the delivery time of the commodity purchasing tasks corresponding to the same commodity to obtain a purchasing task queue; wherein each commodity purchasing task comprises: commodity purchasing demand and delivery time;
arranging each purchasing stock based on the warehousing time of the purchasing stock corresponding to the commodity to obtain a purchasing supply queue; wherein each procurement inventory comprises: inventory and warehousing time; and the inventory comprises: one or more of the current real inventory, the safe inventory, and the estimated inventory;
judging whether the commodity is a commodity needing a purchasing plan or not based on purchasing plan conditions;
and if so, obtaining a purchasing task planning result meeting the delivery of each commodity purchasing task according to the purchasing task queue and the purchasing supply queue.
2. The procurement mission plan generating method of claim 1 characterized by, that the procurement planning conditions include:
judging whether the sum of the number of the task gaps of the commodity and a first predicted sales volume of the commodity in a first predicted number of days is a positive value or not; wherein the number of task gaps comprises: a positive number of gaps corresponding to inventory remaining and/or a negative number of gaps corresponding to inventory missing;
the number of the task gaps is the difference value between the sum of commodity purchasing demand of each commodity purchasing task and the sum of stock of each purchasing stock; and the first predicted sales volume of the commodity purchasing tasks is obtained by calculating the sum of commodity purchasing demand volumes corresponding to the commodity purchasing tasks and the first predicted days.
3. The method for generating a procurement mission plan according to claim 2, wherein if so, obtaining a procurement mission plan result including a procurement plan condition of each commodity procurement mission from the procurement mission queue and the procurement supply queue comprises:
and when the commodity is the commodity needing the purchasing plan, obtaining a safe replenishment plan result and/or an emergency replenishment plan result of the commodity according to the purchasing task queue and the purchasing supply queue based on a safe replenishment condition and/or an emergency replenishment condition.
4. The procurement mission plan generating method of claim 3, wherein obtaining the safe replenishment plan result and/or the emergency replenishment plan result for the commodity based on the safe replenishment condition and/or the emergency replenishment condition and according to the procurement mission queue and the procurement supply queue comprises:
if the safe replenishment condition is met, obtaining the safe replenishment plan result of the commodity according to the demand quantity of each commodity purchasing task in the purchasing tasks, the stock quantity of the purchasing stock and the warehousing time: wherein the safe replenishment plan result comprises: obtaining safe purchase planning quantity and safe purchase planning delivery time based on a safe purchase planning algorithm;
if the emergency replenishment condition is met, acquiring an emergency replenishment plan result of the commodities according to the demand of each commodity purchasing task in the purchasing tasks, the stock of the purchasing stock and the warehousing time: wherein the emergency replenishment plan result comprises: and obtaining the emergency procurement planning quantity and the emergency procurement planning delivery time based on the emergency procurement planning algorithm.
5. The procurement mission plan generating method as recited in claim 3 or 4, characterized in that the safe replenishment condition includes:
judging whether the real stock in each purchasing stock is larger than a second predicted sales volume of the commodity needing to be subjected to the purchasing plan within a second predicted number of days and is smaller than or equal to the safe stock;
the second predicted sales volume of the commodities is obtained by calculating the sum of the commodity purchasing demand volumes of the commodity purchasing tasks and the second predicted days; and the second predicted number of days is less than the first predicted number of days.
6. The procurement mission plan generating method as recited in claim 3 or 4, characterized in that the emergency replenishment condition includes:
judging whether the real inventory in each purchasing inventory is not larger than a second predicted sales volume of the commodity needing to be subjected to the purchasing plan within a second predicted number of days;
the second predicted sales volume of the commodities is obtained by calculating the sum of commodity purchasing demand volumes of all commodity purchasing tasks and a second predicted number of days; and the second predicted number of days is less than the first predicted number of days.
7. The procurement mission plan generating method of claim 5 characterized by, the safe procurement cost-effective method comprises:
the safe procurement amount algorithm comprises the following steps: obtaining a safe purchasing planned amount according to the first predicted sales amount and the number of the task gaps;
the safe procurement delivery time algorithm comprises the following steps: obtaining safe purchasing planning time according to the current date and the consumable inventory days; wherein the consumable stock is related to the real stock amount and the purchasing demand amount of each commodity purchasing task.
8. The procurement mission plan generating method of claim 6 characterized by, the emergency procurement planning algorithm comprises:
the emergency purchase amount algorithm comprises the following steps: acquiring the planned quantity of emergency purchasing according to the quantity of the task gaps;
an emergency procurement lead time algorithm comprising: and obtaining the emergency purchase scheduling time according to the current date and the preset emergency purchase delivery reserved days.
9. A procurement mission plan generation system characterized by, the system comprising:
the purchasing task queue module is used for arranging the purchasing tasks of the commodities based on the delivery time of the purchasing tasks of the commodities corresponding to the same commodity so as to obtain a purchasing task queue; wherein each commodity purchasing task comprises: commodity purchasing demand and delivery time;
the purchasing supply queue module is used for arranging all the purchasing stocks based on the warehousing time of the purchasing stocks corresponding to the commodities so as to obtain a purchasing supply queue; wherein each procurement inventory comprises: inventory and warehousing time; and the inventory comprises: one or more of the current real inventory, the safe inventory, and the estimated inventory;
the purchase plan commodity judging module is connected with the purchase task queue module and the purchase supply queue module and is used for judging whether the commodity is a commodity needing a purchase plan or not based on a purchase plan condition;
and the purchasing planning result generating module is connected with the purchasing planning commodity module and is used for obtaining a purchasing task planning result meeting the delivery of each commodity purchasing task according to the purchasing task queue and the purchasing supply queue when the commodity is the commodity needing purchasing planning.
10. A procurement mission plan generating terminal, comprising:
a memory for storing a computer program;
a processor for performing the procurement mission plan generation method of any of claims 1 to 8.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113673872A (en) * | 2021-08-23 | 2021-11-19 | 北京京东振世信息技术有限公司 | Replenishment processing method and device, storage medium and electronic equipment |
| CN113743861A (en) * | 2021-07-22 | 2021-12-03 | 浙江快准车服网络科技有限公司 | Intelligent replenishment system for supply chain of automobile accessory industry and warehouse thereof |
| CN116109283A (en) * | 2023-04-12 | 2023-05-12 | 中川建投集团有限公司 | Digital project management collaboration platform |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103559594A (en) * | 2013-11-26 | 2014-02-05 | 武钢集团昆明钢铁股份有限公司 | Management system and method for having control over procurement plan according to inventory level of spare parts |
| CN109767296A (en) * | 2018-12-31 | 2019-05-17 | 北京云杉世界信息技术有限公司 | The method that fresh cargo generates buying order |
| CN110738443A (en) * | 2019-09-18 | 2020-01-31 | 医修技术服务(北京)有限公司 | Medical consumable purchasing and replenishing method and device, computer equipment and storage medium |
| CN110956525A (en) * | 2019-08-28 | 2020-04-03 | 耀方信息技术(上海)有限公司 | Purchasing method, purchasing device and storage medium |
| CN111340421A (en) * | 2020-02-19 | 2020-06-26 | 广东卓志供应链科技有限公司 | Purchasing method |
| CN111612251A (en) * | 2020-05-21 | 2020-09-01 | 海汇星驰信息科技(广州)有限公司 | Cross-border e-commerce purchasing and replenishment method based on amazon FBA |
| CN111784245A (en) * | 2020-06-30 | 2020-10-16 | 广东奥园奥买家电子商务有限公司 | Warehouse purchase list generation method, device, equipment and storage medium |
-
2020
- 2020-11-26 CN CN202011348637.1A patent/CN112734320A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103559594A (en) * | 2013-11-26 | 2014-02-05 | 武钢集团昆明钢铁股份有限公司 | Management system and method for having control over procurement plan according to inventory level of spare parts |
| CN109767296A (en) * | 2018-12-31 | 2019-05-17 | 北京云杉世界信息技术有限公司 | The method that fresh cargo generates buying order |
| CN110956525A (en) * | 2019-08-28 | 2020-04-03 | 耀方信息技术(上海)有限公司 | Purchasing method, purchasing device and storage medium |
| CN110738443A (en) * | 2019-09-18 | 2020-01-31 | 医修技术服务(北京)有限公司 | Medical consumable purchasing and replenishing method and device, computer equipment and storage medium |
| CN111340421A (en) * | 2020-02-19 | 2020-06-26 | 广东卓志供应链科技有限公司 | Purchasing method |
| CN111612251A (en) * | 2020-05-21 | 2020-09-01 | 海汇星驰信息科技(广州)有限公司 | Cross-border e-commerce purchasing and replenishment method based on amazon FBA |
| CN111784245A (en) * | 2020-06-30 | 2020-10-16 | 广东奥园奥买家电子商务有限公司 | Warehouse purchase list generation method, device, equipment and storage medium |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113743861A (en) * | 2021-07-22 | 2021-12-03 | 浙江快准车服网络科技有限公司 | Intelligent replenishment system for supply chain of automobile accessory industry and warehouse thereof |
| CN113673872A (en) * | 2021-08-23 | 2021-11-19 | 北京京东振世信息技术有限公司 | Replenishment processing method and device, storage medium and electronic equipment |
| CN113673872B (en) * | 2021-08-23 | 2024-04-16 | 北京京东振世信息技术有限公司 | Method and device for processing replenishment, storage medium and electronic equipment |
| CN116109283A (en) * | 2023-04-12 | 2023-05-12 | 中川建投集团有限公司 | Digital project management collaboration platform |
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