CN202120318U - Automatic plan prediction purchasing system - Google Patents
Automatic plan prediction purchasing system Download PDFInfo
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- CN202120318U CN202120318U CN2011202311204U CN201120231120U CN202120318U CN 202120318 U CN202120318 U CN 202120318U CN 2011202311204 U CN2011202311204 U CN 2011202311204U CN 201120231120 U CN201120231120 U CN 201120231120U CN 202120318 U CN202120318 U CN 202120318U
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Abstract
The utility model discloses an automatic plan prediction purchasing system which includes a data import unit, a database, a data operation unit, and an order generation unit, wherein the data import unit is connected with the database, the database is connected with the order generation unit, and at the same time, the database is connected with the data operation unit. The automatic plan prediction purchasing system takes the historical requirement data as the statistical basis, and calculates the fluctuation amplitude, the month requirement frequency, and the safe stock in a specified period based on the principles of safety factor and standard normal distribution in the statistics, and then calculates the purchasing quantity based on the data, like the safe stock, the actual stock, and the requirement quantity, and the like, so the automatic plan prediction purchasing system can help the staff to generate a purchasing order rapidly and accurately, and in the meanwhile, the automatic plan prediction purchasing system can carry out the statistic analysis of the historical data and output different data report forms based on different parameter selections so as to satisfy different application requirements. The automatic plan prediction purchasing system has excellent popularization and applicability.
Description
Technical field
The utility model relates to scheduled purchasing systems technology field, and special a kind of automation plan that relates to is predicted purchasing system.
Background technology
In the business procurement process; The influence that planner's judgement receives human factor and experience is bigger; The judgement of buying is more intense to the dependence to the people; So sometimes cause error in judgement easily, cause in the integrated link of supply chain the accuracy of upper reaches buying not highly thus, and the kind of buying and quantity are held inaccurate.Like this meeting so that cause downstream supplies to satisfy rate not high, thereby overstock the stock easily.
The utility model content
The purpose of the utility model is to solve the problem that exists in the prior art, provides a kind of the solution in the procurement plan because of what human factor caused to influence the prediction purchasing system that supply is satisfied rate and caused problems such as stock.
The utility model is achieved through following technical scheme:
A kind of automation plan prediction purchasing system comprises data importing unit, database, data operation unit and order generation unit, wherein; The data importing unit links to each other with database; Database links to each other with the order generation unit, and simultaneously, database links to each other with the data operation unit.
The data operation unit comprises safety inventory arithmetic element, demand deviation arithmetic element, procurement plan arithmetic element and demand frequency arithmetic element; Wherein, procurement plan arithmetic element is respectively with safety inventory arithmetic element, demand deviation arithmetic element with link to each other with demand frequency arithmetic element.
The utility model usefulness is:
The system of the utility model with historical demand data as the statistics foundation; Principle according to factor of safety in the statistics and standardized normal distribution calculates the safety inventory in fluctuating range, month demand frequency and the official hour section; Through data such as safety inventory, actual store and demand numbers, calculate purchase quantity.Thereby helped the staff to generate purchase order quickly and accurately; Simultaneously can carry out statistical study to historical data; Select the different data sheet of output through different parameters, satisfy multiple different application requirements, possess good generalization and application.
Description of drawings
To combine embodiment and accompanying drawing that the utility model is done further to describe in detail below:
Fig. 1 is the one-piece construction synoptic diagram of the utility model;
Fig. 2 is the overall operation method flow diagram of the utility model.
Embodiment
For the purpose, technical scheme and the advantage that make the utility model is clearer,, the utility model is further elaborated below in conjunction with accompanying drawing and embodiment.Should be appreciated that specific embodiment described herein only in order to explanation the utility model, and be not used in qualification the utility model.
Be illustrated in figure 1 as a kind of automation plan prediction purchasing system of the utility model; Comprise data importing unit 10, database 20, data operation unit 30 and order generation unit 40; Wherein, data importing unit 10 links to each other with database 20, and database 20 links to each other with order generation unit 40; Simultaneously, database 20 links to each other with data operation unit 30.
Be illustrated in figure 2 as the overall operation method flow diagram of the utility model.
The utility model is inaccurate in order to solve human factor causes in the procurement plan procurement plan, and then the influence supply is satisfied rate and caused problem such as stock and research and develop.Through combining the utility model, as long as staff planners are according to using the smaller and demand frequency height of part fluctuating range always; Special characteristics such as then big the and demand frequency of fluctuating range is low through suitably adjustment, can draw the buying kind and the quantity that relatively conform to the actual demand situation, have promoted production efficiency greatly.
Claims (2)
1. an automation plan is predicted purchasing system; It is characterized in that comprising data importing unit (10), database (20), data operation unit (30) and order generation unit (40); Wherein, data importing unit (10) link to each other with database (20), and database (20) links to each other with order generation unit (40); Simultaneously, database (20) links to each other with data operation unit (30).
2. automation plan prediction purchasing system according to claim 1 is characterized in that described data operation unit (30) comprises safety inventory arithmetic element (31), demand deviation arithmetic element (32), procurement plan arithmetic element (34) and demand frequency arithmetic element (33); Wherein, procurement plan arithmetic element (34) is respectively with safety inventory arithmetic element (31), demand deviation arithmetic element (32) with link to each other with demand frequency arithmetic element (33).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202311204U CN202120318U (en) | 2011-07-01 | 2011-07-01 | Automatic plan prediction purchasing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011202311204U CN202120318U (en) | 2011-07-01 | 2011-07-01 | Automatic plan prediction purchasing system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202120318U true CN202120318U (en) | 2012-01-18 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011202311204U Expired - Lifetime CN202120318U (en) | 2011-07-01 | 2011-07-01 | Automatic plan prediction purchasing system |
Country Status (1)
| Country | Link |
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| CN (1) | CN202120318U (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104573840A (en) * | 2013-10-17 | 2015-04-29 | 中国人民解放军第二军医大学 | Pre-estimation medical consumable replenishment system and calculation method thereof |
| CN107194637A (en) * | 2017-04-19 | 2017-09-22 | 四川航天金穗高技术有限公司 | Inventory management method and device |
| CN108830480A (en) * | 2018-06-12 | 2018-11-16 | 恩龙实业(嘉兴)有限公司 | A kind of ERP buying calculation method and its system |
| CN110766339A (en) * | 2019-10-31 | 2020-02-07 | 国网河南省电力公司南阳供电公司 | Electric power company e-commerce purchasing method |
-
2011
- 2011-07-01 CN CN2011202311204U patent/CN202120318U/en not_active Expired - Lifetime
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104573840A (en) * | 2013-10-17 | 2015-04-29 | 中国人民解放军第二军医大学 | Pre-estimation medical consumable replenishment system and calculation method thereof |
| CN104573840B (en) * | 2013-10-17 | 2017-09-01 | 中国人民解放军第二军医大学 | Medical supplies estimate replenishment system and its computational methods |
| CN107194637A (en) * | 2017-04-19 | 2017-09-22 | 四川航天金穗高技术有限公司 | Inventory management method and device |
| CN108830480A (en) * | 2018-06-12 | 2018-11-16 | 恩龙实业(嘉兴)有限公司 | A kind of ERP buying calculation method and its system |
| CN108830480B (en) * | 2018-06-12 | 2020-10-09 | 恩龙实业(嘉兴)有限公司 | ERP purchasing calculation method and system |
| CN110766339A (en) * | 2019-10-31 | 2020-02-07 | 国网河南省电力公司南阳供电公司 | Electric power company e-commerce purchasing method |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20120118 |