CN102184507A - Warehouse replenishing method - Google Patents
Warehouse replenishing method Download PDFInfo
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- CN102184507A CN102184507A CN 201110124966 CN201110124966A CN102184507A CN 102184507 A CN102184507 A CN 102184507A CN 201110124966 CN201110124966 CN 201110124966 CN 201110124966 A CN201110124966 A CN 201110124966A CN 102184507 A CN102184507 A CN 102184507A
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Abstract
The invention discloses a warehouse replenishing method, which belongs to a supermarket chain support technology. By introducing a knowledge library which is established on the basis of knowledge engineering and fusing the replenishing decision support system of an information system, warehouse replenishing management can be controlled more intelligently for different sale modes, and a replenished commodity number and replenishing time can be further modified according to cost, client satisfaction, a stockout rate, a safe stock quantity and the delivery time of suppliers. Compared with the prior art, the method has the advantages that: the stock cost can be reduced, and the stock management efficiency can be improved.
Description
Technical field
The present invention relates to a kind of warehouse method that replenishes, relate in particular to a kind of warehouse that utilizes computer inventory decision support system (DSS) method that replenishes, belong to chain supermarket support technology.
Background technology
Domestic there be limited evidence currently of has storehouse management and computer system can support the storage optimization management.The part warehouse is from external introduction logistics system, and maintenance cost so in use is very high, and the logistics operating cost can't reduce.Mainly be the united states, japan and other countries man abroad, have several companies that storage optimization software systems based on the logistics standards system can be provided independently) as FlowTrak(Stramsoft.DSS: decision support system (DSS) (decision support system is called for short dss) is that aid decision making person passes through data, model and knowledge, carries out the computer application system of semi-structured or non-structural decision with man-machine interaction mode.It calls various information resources and analysis tool for the decision maker provides problem analysis, sets up model, the environment of Simulation and Decision process and scheme, and aid decision making person improves decision-making level and quality.
But there is following problem in present DSS method: do decision-making under time pressure; Face the target of mutual conflict; Complicacy is too high-leveled and difficult to estimate the consequence of decision-making; Information is not enough and whether difficult understanding information is abundant; Decision-making results (decision-making correlativity) is not clear etc.
Summary of the invention
Technical matters to be solved by this invention is to overcome the deficiencies in the prior art, a kind of warehouse method that replenishes is provided, this method is according to the various information of commodity, system for integrating information, utilize the computer inventory decision support system (DSS) to draw automatically and need replenish the quantity and the time of commodity, thereby improve stock control efficient.
The warehouse of the present invention method that replenishes specifically may further comprise the steps:
Step 1, collection weather forecast information, relevant historical data information is set up database;
Step 2, according to the contact that replenishes between the commodity, computational analysis goes out correlation rule, adds the knowledge base in the decision system;
Step 3, note the shared stock's spatiality of current warehouse stock, if the warehouse space deficiency then wouldn't be mended
Goods; Safety stock with corresponding commodity compares again, if be higher than safety stock then need not replenish, if
Being lower than safety stock then needs to stock up;
Step 4, to be divided into festivals or holidays weather according to the situation of date, weather normal, festivals or holidays weather anomaly, working day weather
Normally, four kinds of patterns of weather anomaly etc. on working day;
After step 5, pattern are determined, from above-mentioned database and infosystem, extract following parameter: certain commodity of retailer
Section Current Library storage at a time; Certain commodity of retailer are the sales volume of section at a time; Certain commodity are the interior selling price of section at a time; Stock's keeping cost of certain commodity; Certain commodity by the transportation cost of supplier to the retailer; Certain commodity of supplier are section Current Library storage at a time; Supplier's commodity are the total sales volume of section at a time; The situation of change of certain offtake of retailer; Human factor; Non-artificial influence factor;
Step 6, each parameter of obtaining with step 5 be as input, the prediction that utilizes feed forward type BP neuron algorithm computation to replenish
Value;
Step 7, repeatedly revise to calculate the study factor in the method therefor, improve precision of calculation results, reduce error;
Step 8, calculate under this pattern during this period of time the prediction value of replenishing and before the tank farm stock summation whether less than warehouse capacity,
If greater than would point out user error information;
Step 9, change relation with demand according to the time, consider the condition in safety stock and warehouse, calculate replenish the time
Between;
Step 10, the commodity amount that at last need is replenished and the time that replenishes are submitted to the user.
Further, after step 10, also comprise the step that commodity amount that replenishes that step 10 is obtained according to cost, customer satisfaction, out of stock rate, safety stock and supplier's delivery availability and the time that replenishes are revised.
The present invention is by introducing the knowledge base that KBE is set up, the RDSS(Replenishment Decision support system of convergent messaging systems, decision support system (DSS) replenishes), can at different sales modes can be more the management that replenishes of the control warehouse of intelligence, and further commodity amount that replenishes and the time that replenishes are revised according to cost, customer satisfaction, out of stock rate, safety stock and supplier's delivery availability.Compared to existing technology, the present invention can reduce inventory cost, improves stock control efficient.
Description of drawings
Fig. 1 is the process flow diagram of the inventive method.
Embodiment
Below in conjunction with accompanying drawing technical scheme of the present invention is elaborated:
The warehouse of the present invention method that replenishes as shown in Figure 1, may further comprise the steps:
Step 1, collection weather forecast information, relevant historical data information is set up database;
Step 2, according to the contact that replenishes between the commodity, computational analysis goes out correlation rule, adds the knowledge base in the decision system;
Step 3, note the shared stock's spatiality of current warehouse stock, if the warehouse space deficiency then wouldn't be mended
Goods; Safety stock with corresponding commodity compares again, if be higher than safety stock then need not replenish, if
Being lower than safety stock then needs to stock up;
Step 4, to be divided into festivals or holidays weather according to the situation of date, weather normal, festivals or holidays weather anomaly, working day weather
Normally, four kinds of patterns of weather anomaly etc. on working day;
After step 5, pattern are determined, from above-mentioned database and infosystem, extract following parameter: certain commodity of retailer
Section Current Library storage at a time; Certain commodity of retailer are the sales volume of section at a time; Certain commodity are the interior selling price of section at a time; Stock's keeping cost of certain commodity; Certain commodity by the transportation cost of supplier to the retailer; Certain commodity of supplier are section Current Library storage at a time; Supplier's commodity are the total sales volume of section at a time; The situation of change of certain offtake of retailer; Human factor; Non-artificial influence factor;
In this step, the quantification of human factor (for example commodity discounting sales promotion) and non-artificial influence factor (for example disaster) value can determine according to the information in institute's lectotype and the knowledge base;
Step 6, each parameter of obtaining with step 5 be as input, the prediction that utilizes feed forward type BP neuron algorithm computation to replenish
Value;
Step 7, repeatedly revise to calculate the study factor in the method therefor, improve precision of calculation results, reduce error;
Step 8, calculate under this pattern during this period of time the prediction value of replenishing and before the tank farm stock summation whether less than warehouse capacity,
If greater than would point out user error information;
Step 9, change relation with demand according to the time, consider the condition in safety stock and warehouse, calculate replenish the time
Between;
Step 10, the commodity amount that at last need is replenished and the time that replenishes are submitted to the user.
What obtain thus is the Utopian scheme that replenishes, but in the operation flow of reality, also needs to consider cost, customer satisfaction, and out of stock rate, the existence of objective factors such as safety stock, so the present invention also comprises:
Step 11, the commodity amount that replenishes that step 10 is obtained according to cost, customer satisfaction, out of stock rate, safety stock and supplier's delivery availability and the time that replenishes are revised.
Claims (4)
1. warehouse method that replenishes, this method be according to the various information of commodity, and system for integrating information utilizes the computer inventory decision support system (DSS) to draw automatically need to replenish the quantity and the time of commodity, it is characterized in that this method may further comprise the steps:
Step 1, collection weather forecast information, relevant historical data information is set up database;
Step 2, according to the contact that replenishes between the commodity, computational analysis goes out correlation rule, adds the knowledge base in the decision system;
Step 3, note the shared stock's spatiality of current warehouse stock, if the warehouse space deficiency then wouldn't replenish; Safety stock with corresponding commodity compares again, if be higher than safety stock then need not replenish, stocks up if be lower than safety stock then need;
Step 4, to be divided into festivals or holidays weather according to the situation of date, weather normal, festivals or holidays weather anomaly, working day, weather was normal, four kinds of patterns of weather anomaly etc. on working day;
After step 5, pattern are determined, extract following parameter from above-mentioned database and infosystem: certain commodity of retailer are section Current Library storage at a time; Certain commodity of retailer are the sales volume of section at a time; Certain commodity are the interior selling price of section at a time; Stock's keeping cost of certain commodity; Certain commodity by the transportation cost of supplier to the retailer; Certain commodity of supplier are section Current Library storage at a time; Supplier's commodity are the total sales volume of section at a time; The situation of change of certain offtake of retailer; Human factor; Non-artificial influence factor;
Step 6, each parameter of obtaining with step 5 be as input, the predicted value of utilizing feed forward type BP neuron algorithm computation to replenish;
Step 7, repeatedly revise to calculate the study factor in the method therefor, improve precision of calculation results, reduce error;
Step 8, calculate under this pattern during this period of time the prediction value of replenishing and before the tank farm stock summation whether less than warehouse capacity, if greater than would point out user error information;
Step 9, change relation with demand according to the time, consider the condition in safety stock and warehouse, calculate the time that replenishes;
Step 10, the commodity amount that at last need is replenished and the time that replenishes are submitted to the user.
2. the warehouse method that replenishes according to claim 1 is characterized in that the state of current warehouse storage comprises described in the step 3: commodity at a time between the Current Library storage of section, at a time between the keeping cost of section, and by the transportation cost of supplier to the retailer.
3. the warehouse method that replenishes according to claim 1 is characterized in that, the quantification of human factor described in the step 5 and non-artificial influence factor value is according to the decision of the information in institute's lectotype and the knowledge base.
4. the warehouse method that replenishes according to claim 1, it is characterized in that, after step 10, also comprise the step that commodity amount that replenishes that step 10 is obtained according to cost, customer satisfaction, out of stock rate, safety stock and supplier's delivery availability and the time that replenishes are revised.
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| CN 201110124966 CN102184507A (en) | 2011-05-16 | 2011-05-16 | Warehouse replenishing method |
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|---|---|---|---|
| CN 201110124966 CN102184507A (en) | 2011-05-16 | 2011-05-16 | Warehouse replenishing method |
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Cited By (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102982432A (en) * | 2012-11-14 | 2013-03-20 | 北京京东世纪贸易有限公司 | Treating method of order form and treating device of the order form |
| CN103455902A (en) * | 2013-09-04 | 2013-12-18 | 烟台宝井钢材加工有限公司 | Steel distribution risk early-warning method of automobile accessory enterprises |
| CN105913562A (en) * | 2016-04-29 | 2016-08-31 | 邓迪 | Vending machine system based on block chain and data processing method |
| CN105956811A (en) * | 2016-06-10 | 2016-09-21 | 中山市科全软件技术有限公司 | Unmanned supermarket inventory management system |
| CN106447264A (en) * | 2016-09-28 | 2017-02-22 | 广州唯品会信息科技有限公司 | Commodity deployment method and system |
| CN106991544A (en) * | 2016-01-20 | 2017-07-28 | 阿里巴巴集团控股有限公司 | Allot system and allot method |
| CN106991550A (en) * | 2016-01-21 | 2017-07-28 | 阿里巴巴集团控股有限公司 | Merchandise items replenish information processing method and device |
| CN107122928A (en) * | 2016-02-24 | 2017-09-01 | 阿里巴巴集团控股有限公司 | A kind of supply chain Resource Requirement Planning collocation method and device |
| CN107203917A (en) * | 2016-03-17 | 2017-09-26 | 阿里巴巴集团控股有限公司 | A kind of method for processing business, apparatus and system |
| CN107506958A (en) * | 2017-07-19 | 2017-12-22 | 网易无尾熊（杭州）科技有限公司 | Information generating method, medium, system and computing device |
| CN108921482A (en) * | 2018-07-13 | 2018-11-30 | 惠龙易通国际物流股份有限公司 | Disappear product put-on method and system fastly |
| CN109089417A (en) * | 2016-03-14 | 2018-12-25 | 沃特奥有限公司 | Method and system for the estimated time for notifying user to consume about product |
| CN109146350A (en) * | 2017-06-28 | 2019-01-04 | 菜鸟智能物流控股有限公司 | Warehouse delivery operation execution method and device |
| CN109299971A (en) * | 2018-08-23 | 2019-02-01 | 中国计量大学 | A kind of optimal bread under random distribution is supplied method and system |
| CN109615184A (en) * | 2018-11-17 | 2019-04-12 | 上海百胜软件股份有限公司 | The method and system of shops, retailer automatic cargo allocation, the goods that replenishes, adjusts |
| CN109840724A (en) * | 2017-11-27 | 2019-06-04 | 北京京东尚科信息技术有限公司 | Method and apparatus for output information |
| CN109993516A (en) * | 2018-01-02 | 2019-07-09 | 阿里巴巴集团控股有限公司 | Information processing method, the apparatus and system of commodity |
| CN110033137A (en) * | 2019-04-17 | 2019-07-19 | 中国联合网络通信集团有限公司 | The method for running and system of self-service outlet based on block chain |
| CN110414880A (en) * | 2018-04-26 | 2019-11-05 | 株式会社日立物流 | Stock control device, inventory management method and storage medium |
| CN110689157A (en) * | 2018-07-04 | 2020-01-14 | 北京京东尚科信息技术有限公司 | Method and device for determining call relation |
| CN111242524A (en) * | 2018-11-29 | 2020-06-05 | 顺丰科技有限公司 | Method, system, equipment and storage medium for determining replenishment quantity of single article |
| CN111476626A (en) * | 2020-03-04 | 2020-07-31 | 珠海市百岛科技有限公司 | Intelligent water ordering method and intelligent water station system |
| CN111667207A (en) * | 2019-03-05 | 2020-09-15 | 阿里巴巴集团控股有限公司 | Supply chain inventory management method and device, storage medium and processor |
| CN112150056A (en) * | 2019-06-28 | 2020-12-29 | 北京京东尚科信息技术有限公司 | Method, device and storage medium for determining replenishment period |
| CN112529259A (en) * | 2020-11-26 | 2021-03-19 | 中广核核电运营有限公司 | Method for optimizing procurement demand date of spare parts of nuclear power station and computer |
| CN113762832A (en) * | 2020-08-10 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Inventory information processing method, inventory information processing device, storage medium and electronic equipment |
| CN114169944A (en) * | 2022-01-26 | 2022-03-11 | 北京京东振世信息技术有限公司 | User demand determination method and device, storage medium and electronic equipment |
| CN115271578A (en) * | 2022-05-07 | 2022-11-01 | 国家国防科技工业局军工项目审核中心 | Sand table simulation method for production and supply of large-screen end system |
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| CN101593312A (en) * | 2008-05-30 | 2009-12-02 | 北京奥腾讯达科技有限公司 | Computer inventory optimization management system |
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Patent Citations (1)
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| CN101593312A (en) * | 2008-05-30 | 2009-12-02 | 北京奥腾讯达科技有限公司 | Computer inventory optimization management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102982432A (en) * | 2012-11-14 | 2013-03-20 | 北京京东世纪贸易有限公司 | Treating method of order form and treating device of the order form |
| CN103455902A (en) * | 2013-09-04 | 2013-12-18 | 烟台宝井钢材加工有限公司 | Steel distribution risk early-warning method of automobile accessory enterprises |
| CN106991544A (en) * | 2016-01-20 | 2017-07-28 | 阿里巴巴集团控股有限公司 | Allot system and allot method |
| CN106991544B (en) * | 2016-01-20 | 2021-06-29 | 菜鸟智能物流控股有限公司 | Allocation system and allocation method |
| CN106991550A (en) * | 2016-01-21 | 2017-07-28 | 阿里巴巴集团控股有限公司 | Merchandise items replenish information processing method and device |
| CN106991550B (en) * | 2016-01-21 | 2020-12-01 | 菜鸟智能物流控股有限公司 | Commodity object replenishment information processing method and device |
| CN107122928A (en) * | 2016-02-24 | 2017-09-01 | 阿里巴巴集团控股有限公司 | A kind of supply chain Resource Requirement Planning collocation method and device |
| CN109089417A (en) * | 2016-03-14 | 2018-12-25 | 沃特奥有限公司 | Method and system for the estimated time for notifying user to consume about product |
| CN107203917B (en) * | 2016-03-17 | 2021-04-30 | 菜鸟智能物流控股有限公司 | Service processing method, device and system |
| CN107203917A (en) * | 2016-03-17 | 2017-09-26 | 阿里巴巴集团控股有限公司 | A kind of method for processing business, apparatus and system |
| CN105913562A (en) * | 2016-04-29 | 2016-08-31 | 邓迪 | Vending machine system based on block chain and data processing method |
| CN105956811A (en) * | 2016-06-10 | 2016-09-21 | 中山市科全软件技术有限公司 | Unmanned supermarket inventory management system |
| CN106447264A (en) * | 2016-09-28 | 2017-02-22 | 广州唯品会信息科技有限公司 | Commodity deployment method and system |
| CN109146350A (en) * | 2017-06-28 | 2019-01-04 | 菜鸟智能物流控股有限公司 | Warehouse delivery operation execution method and device |
| CN107506958A (en) * | 2017-07-19 | 2017-12-22 | 网易无尾熊（杭州）科技有限公司 | Information generating method, medium, system and computing device |
| CN109840724A (en) * | 2017-11-27 | 2019-06-04 | 北京京东尚科信息技术有限公司 | Method and apparatus for output information |
| CN109993516A (en) * | 2018-01-02 | 2019-07-09 | 阿里巴巴集团控股有限公司 | Information processing method, the apparatus and system of commodity |
| CN110414880A (en) * | 2018-04-26 | 2019-11-05 | 株式会社日立物流 | Stock control device, inventory management method and storage medium |
| CN110414880B (en) * | 2018-04-26 | 2023-09-15 | 罗集帝株式会社 | Inventory management device, inventory management method, and storage medium |
| CN110689157A (en) * | 2018-07-04 | 2020-01-14 | 北京京东尚科信息技术有限公司 | Method and device for determining call relation |
| CN108921482B (en) * | 2018-07-13 | 2021-08-17 | 惠龙易通国际物流股份有限公司 | Fast-moving consumer goods delivery method and system |
| CN108921482A (en) * | 2018-07-13 | 2018-11-30 | 惠龙易通国际物流股份有限公司 | Disappear product put-on method and system fastly |
| CN109299971A (en) * | 2018-08-23 | 2019-02-01 | 中国计量大学 | A kind of optimal bread under random distribution is supplied method and system |
| CN109299971B (en) * | 2018-08-23 | 2022-03-22 | 中国计量大学 | Optimal bread supply method and system under random distribution |
| CN109615184A (en) * | 2018-11-17 | 2019-04-12 | 上海百胜软件股份有限公司 | The method and system of shops, retailer automatic cargo allocation, the goods that replenishes, adjusts |
| CN111242524A (en) * | 2018-11-29 | 2020-06-05 | 顺丰科技有限公司 | Method, system, equipment and storage medium for determining replenishment quantity of single article |
| CN111242524B (en) * | 2018-11-29 | 2023-12-01 | 顺丰科技有限公司 | Method, system, equipment and storage medium for determining single product replenishment quantity |
| CN111667207A (en) * | 2019-03-05 | 2020-09-15 | 阿里巴巴集团控股有限公司 | Supply chain inventory management method and device, storage medium and processor |
| CN111667207B (en) * | 2019-03-05 | 2024-01-23 | 阿里巴巴集团控股有限公司 | Supply chain inventory management method and device, storage medium and processor |
| CN110033137B (en) * | 2019-04-17 | 2021-06-29 | 中国联合网络通信集团有限公司 | Operation method and system of unmanned vending business network based on block chain |
| CN110033137A (en) * | 2019-04-17 | 2019-07-19 | 中国联合网络通信集团有限公司 | The method for running and system of self-service outlet based on block chain |
| CN112150056A (en) * | 2019-06-28 | 2020-12-29 | 北京京东尚科信息技术有限公司 | Method, device and storage medium for determining replenishment period |
| CN111476626A (en) * | 2020-03-04 | 2020-07-31 | 珠海市百岛科技有限公司 | Intelligent water ordering method and intelligent water station system |
| CN113762832A (en) * | 2020-08-10 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Inventory information processing method, inventory information processing device, storage medium and electronic equipment |
| CN112529259A (en) * | 2020-11-26 | 2021-03-19 | 中广核核电运营有限公司 | Method for optimizing procurement demand date of spare parts of nuclear power station and computer |
| CN114169944A (en) * | 2022-01-26 | 2022-03-11 | 北京京东振世信息技术有限公司 | User demand determination method and device, storage medium and electronic equipment |
| CN114169944B (en) * | 2022-01-26 | 2022-07-05 | 北京京东振世信息技术有限公司 | User demand determination method and device, storage medium and electronic equipment |
| CN115271578A (en) * | 2022-05-07 | 2022-11-01 | 国家国防科技工业局军工项目审核中心 | Sand table simulation method for production and supply of large-screen end system |
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Application publication date: 20110914 |