CN104766181A - Chemical enterprise purchasing management decision support system based on GIS - Google Patents
Chemical enterprise purchasing management decision support system based on GIS Download PDFInfo
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- CN104766181A CN104766181A CN201510210640.XA CN201510210640A CN104766181A CN 104766181 A CN104766181 A CN 104766181A CN 201510210640 A CN201510210640 A CN 201510210640A CN 104766181 A CN104766181 A CN 104766181A
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Abstract
The invention discloses a chemical enterprise purchasing management decision support system based on a GIS. The method comprises the following steps that a regional space database and a chemical enterprise material management relational database are built, a supplier evaluation system is made, a purchasing management optimization model is built, and decision supporting is provided when a chemical enterprise makes purchase plans. According to the method, existing data of all departments of the enterprise are integrated, the GIS space information technology is applied comprehensively, a reasonable and scientific mathematic model is adopted, various purchase schemes are calculated, human intervention factors in the previous purchase plan making process are greatly reduced, and the method can be adopted as decision supporting when the large chemical enterprise makes the purchase plans.
Description
technical field:
The present invention relates to large chemical complex's procurement plan decision support system (DSS), specifically relate to a kind of chemical enterprise purchasing management decision support system (DSS) based on GIS.
background technology:
Purchasing management is the important component part of business administration, it is very large that buying Material Cost accounts for the ratio of managing total cost, directly have influence on the operation of enterprise, so the supplier chosen in adoption process is most important, and the material of chemical enterprise buying is often subject to road network restriction.Dickson G W proposed in 1966 supplier evaluation 23 criterions being key factor with quality, delivery date and history performance; Yahya S and Kingsman B also once used analytical hierarchy process, obtained comprising the supplier evaluation system of the indexs such as quality, response, delivery, sense of discipline, finance and corresponding weight.Nowadays principal component analysis (PCA), neural network, gray scale collection, rough set, the methods such as fuzzy set have also been widely used in Supplier Selection, and these method final purposes are all select the affiliate of enterprise, and not for the supplier evaluation method of certain class material, Dijk algorithm or VRP algorithm are often adopted to distribution network, to considering that the restriction of road network does not more relate to.And enterprise is when concrete practical operation, often there is human intervention too much, lack the shortcomings such as scientific basis.
summary of the invention:
The object of the present invention is to provide a kind of decision support system (DSS) when formulating procurement plan, make full use of the data that enterprise grasps, build rational appraisement system, purchasing management Optimized model, draw the procurement scheme of science, the advantage such as there is advanced design, decision science, controllability is good, practicality is strong.
The technical solution adopted for the present invention to solve the technical problems is: construct a kind of chemical enterprise purchasing management decision support system (DSS) based on GIS, it is characterized in that, comprise regional space database, chemical enterprise handling of goods and materials relational database, supplier evaluation system and purchasing management Optimized model.Described regional space database comprises the road network that all suppliers material stores up position, chemical enterprise material requirement place.The material procurement that chemical enterprise handling of goods and materials relational database comprises enterprise requires, material characteristic, on-hand inventory situation and provide the supplier data of this material, is the basis of supplier evaluation system.Described supplier evaluation system makes full use of the existing data of supplier, by the various Data classification statistics of supplier, changes into the mark of 0-100, as supplier evaluation result.Described purchasing management Optimized model, utilizes described supplier evaluation result, in conjunction with existing inventories, and the road network of reality, formulate buying distribution plan.
In described supplier evaluation system, comprise supplier's expert estimation, supplier's overall strength is divided and achievement examination point over the years, wherein the feature of supplier's expert estimation is: carry out subitem by business enterprice sector expert to supplier and give a mark, structure is three layers and evaluates Recurison order hierarchy model, comprise ground floor: expert estimation result, the second layer: product quality, technical merit, product price, deliverability, geographic position, delivery situation, after sale service, and corresponding third layer: product quality-acceptance rate, quality assurance system; Technical merit-product technology parameter, product improvement; Product price-preferential degree, cost improvement project, cost decline space; Deliverability-production scale, development potentiality; Geographic position-inventory locations, delivery response; Delivery situation-timely delivery guaranteed property, increases, subtracts the adaptibility to response of order; After sale service-after services of product ability.Utilize AHP analytical hierarchy process, determine each weight of itemizing, obtain supplier's expert analysis mode that a result is 0-100.The feature that supplier's overall strength is divided is: determined by following a few class data: vendor attribute, registered capital, flow situation, vendor or type, productive capacity, by comparing between two, determines judgment matrix and eigenvalue method, determine every weights, obtaining a result is that supplier's overall strength of 0-100 is divided.Supplier performance examination point is characterized in that: embody the sales achievement of supplier under certain class material, obtains the achievement examination point of a 0-100.By 3 kinds scoring weights setting, obtain on certain class material supplier's overall assessment divide, determine the provider scenario of material.
In purchasing management Optimized model of the present invention, emphasis solves the procurement organization problem of material, sets up the model of purchase management that closely can be coupled with GIS.The Purchasing Model set up herein is based on the road network in a geographic coverage, and only selects transport by road network.Determine material point, material point is the source of road network, and material flows out from material point, and arrive storage point, namely complete the demand of procurement organization, each material point represents a supplier, selects suitable supplier in multiple vendor of comforming, and just determines material point.According to the actual production demand of enterprise, select storage point, namely the material terminal that finally should transport.Determine material point and store in a warehouse the starting point and the terminal that just equal to establish road network, next step is wanted it is considered that road network, determine the node of road net and the restricted driving region of harmful influence, forms road network.Finally utilize optimization method, under meeting the material requirement prerequisite in enterprise's production, formulate the procurement plan scheme that buying expenses is minimum and trucking costs is minimum.
The invention has the beneficial effects as follows, chemical enterprise handling of goods and materials relational database can be made full use of, rational supplier evaluation system is established from quantitatively and qualitatively angle, establish the purchasing management Optimized model of the science be closely coupled with GIS, for having provided reliably decision support when formulating procurement plan.
accompanying drawing illustrates:
The present invention is further illustrated below in conjunction with the drawings and specific embodiments.
Fig. 1 is procurement process figure of the present invention.
Fig. 2 is the supplier evaluation structural drawing for certain class material of the present invention.
embodiment:
Contrast accompanying drawing below in conjunction with embodiment the present invention is described in further detail.
As shown in Figure 1, user operation flow process of the present invention is as follows, user inputs the material code intending buying, system returns each subitem score value under the specifying information of the supplier providing this material code and appraisement system, and the reference weight of each subitem of appraisement system, user calculates, obtains the distribution share of the material intending buying after can making the appropriate adjustments reference weight.
As shown in Figure 2, the present invention includes chemical enterprise handling of goods and materials relational database, based on the supplier evaluation system of buying material.The present invention is by numerous in database, numerous and diverse data carry out Rational Classification, scientific disposal, make it to support the supplier evaluation system based on material, first the data of purchase order are added up year by year according to the coding of buying material, obtain the sales achievement that all kinds of suppliers under every class material are annual, set up the achievement examination part in appraisement system.Feedback on performance is divided into: the sales achievement counting each supplier under every class material code per year, supplier performance divides and calculates respectively by each buying material, and its formula is: the sales volume of the supplier that the sales achievement under this material sales achievement/this material of achievement is divided (0-100 centesimal system)=100 × supplier is the highest.The registered capital of supplier, vendor attribute, vendor or type, productive capacity, these data constitute the basis of overall strength in appraisement system, and these data upgrade every year, come from supplier and report and investigate with actual field.These data are done standardization, adopts 1 ~ 9 scaling law, set up judgment matrix, utilize eigenvalue method to solve weight vectors, finally solve the annual overall strength of each supplier and divide (0-100 centesimal system).Chemical enterprise is every year to the product quality of supplier, and technical merit, product price, deliverability, geographic position, delivery situation, these situations of after sale service carry out expert estimation, form expert's examination point in supplier evaluation system.The expert of each department carries out centesimal system marking to each sub-option, or adopt 1 ~ 9 scaling law, set up judgment matrix, eigenvalue method is utilized to solve weight vectors, with overall strength unlike, comprehensive examination and evaluation is sandwich construction, takes from top to bottom successively to carry out, finally draw the weights of lowest level element, calculate the annual comprehensive examination and evaluation of each supplier and divide (0-100 centesimal system).
After vendors' evaluating Establishing, start to build Supplier Selection Scheme, procurement scheme is carried out for certain class material, it and the overall score of supplier under this material have direct relation, conversion relation between overall score and procurement proportion is: procurement proportion=100% × certain provides the overall score of the supplier of this material/all overall score sums providing the supplier of this material, wherein overall score utilizes formulae discovery and obtains: the supplier scoring=x × overall strength of certain class material divides+y × comprehensive examination and evaluation to divide+z × achievement examination point, wherein x+y+z=1, x, y, the value of z is arranged according to actual conditions.
Claims (4)
1. the chemical enterprise purchasing management decision support system (DSS) based on GIS, comprise regional space database, chemical enterprise handling of goods and materials relational database, supplier evaluation system and purchasing management Optimized model, it is characterized in that, described regional space database comprises the road network that all suppliers material stores up position, chemical enterprise material requirement place and harmful influence; Described purchasing management Optimized model comprises buying pattern Optimized model and the procurement optimization model based on GIS; Described buying pattern Optimized model determines centralized purchasing pattern according to material feature, stock's present situation and purchase requirement and organizational purchasing is implemented, and comprises Supplier Selection and determines material memory point; The described procurement optimization model based on GIS, according to determining the road network that material requirement position, supplier's material storage position and harmful influence transport, determines material allocation scheme; The structure of described road network comprises road topology structure, traffic attribute number of track-lines, maximum speed limit, restriction dead weight capacity, the restriction of harmful influence transit domain etc.
2. the chemical enterprise purchasing management decision support system (DSS) based on GIS according to claim 1, it is characterized in that, the material procurement that described chemical enterprise handling of goods and materials relational database comprises enterprise requires, material characteristic, on-hand inventory situation and provide the supplier data of this material, and as the basis of supplier evaluation system; Described supplier evaluation system makes full use of states the existing data of supplier in chemical enterprise handling of goods and materials relational database, by the various Data classification statistics of supplier, changes into the mark of 0-100, as supplier evaluation result; The described procurement optimization model based on GIS, utilizes described supplier evaluation result, in conjunction with existing inventories, and the road network of reality, formulate buying distribution plan.
3. the chemical enterprise purchasing management decision support system (DSS) based on GIS according to claim 2, it is characterized in that, described supplier evaluation system comprises supplier's expert estimation, and supplier's overall strength is divided and achievement examination point over the years; Wherein the feature of supplier's expert estimation is: carry out subitem by business enterprice sector expert to supplier and give a mark, and structure is three layers and evaluates Recurison order hierarchy model, comprises ground floor: expert estimation result; The second layer: product quality, technical merit, product price, deliverability, geographic position, delivery situation, after sale service; And the third layer corresponding to the second layer: product quality-acceptance rate, quality assurance system; Technical merit-product technology parameter, product improvement; Product price-preferential degree, cost improvement project, cost decline space; Deliverability-production scale, development potentiality; Geographic position-inventory locations, delivery response; Delivery situation-timely delivery guaranteed property, increases, subtracts the adaptibility to response of order; After sale service-after services of product ability; Utilize AHP analytical hierarchy process, determine each weight of itemizing, obtain supplier's expert analysis mode that a result is 0-100; The feature that supplier's overall strength is divided is: determined by following a few class data: vendor attribute, registered capital, flow situation, vendor or type, productive capacity, by comparing between two, determines judgment matrix and eigenvalue method, determine every weights, obtaining a result is that supplier's overall strength of 0-100 is divided; Supplier's achievement examination point over the years is characterized in that: embody the sales achievement of supplier under certain class material, obtains the achievement examination point of a 0-100; Divided by supplier's expert estimation, supplier's overall strength and the settings of supplier's achievement over the years examination point 3 kinds of scoring weights, the supplier's overall assessment obtained on certain class material divides, and determines the provider scenario of material.
4. the chemical enterprise purchasing management decision support system (DSS) based on GIS according to claim 3, it is characterized in that, after vendors' evaluating Establishing, start to build Supplier Selection Scheme, described Supplier Selection Scheme is carried out for certain class material, it and the overall score of specific supplier under this material have direct relation, conversion relation between overall score and procurement proportion is: procurement proportion=100% × provide the overall score of the described specific supplier of this material/all overall score sums providing the supplier of this material, wherein the overall score of supplier utilizes formulae discovery and obtains: the supplier scoring=x × overall strength of certain class material divides+y × comprehensive examination and evaluation to divide+z × achievement examination point, wherein x+y+z=1, x, y, the value of z is arranged according to actual conditions.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106557861A (en) * | 2015-09-30 | 2017-04-05 | 上海合印包装服务有限公司 | A kind of supplier data statistical system for being applied to print business management |
| CN106875137A (en) * | 2015-12-14 | 2017-06-20 | 何怀泽 | A kind of procurement decisions optimization method and system |
| CN108256912A (en) * | 2018-01-15 | 2018-07-06 | 苏州索及信息技术有限公司 | Nonstandard parts precision marketing system based on hierarchical modeling |
| CN108596375A (en) * | 2018-04-11 | 2018-09-28 | 武汉理工大学 | A kind of equipment manufacture material requirement Design Method and system |
| CN108711528A (en) * | 2018-04-10 | 2018-10-26 | 长园共创电力安全技术股份有限公司 | A kind of earthing mechanism |
| CN109191046A (en) * | 2018-08-30 | 2019-01-11 | 深圳春沐源控股有限公司 | The purchasing management method and purchasing management device of material for agriculture |
| CN109887585A (en) * | 2018-12-13 | 2019-06-14 | 平安万家医疗投资管理有限责任公司 | Information processing method, system and server, computer readable storage medium |
| CN111915271A (en) * | 2020-07-29 | 2020-11-10 | 苏州安特威阀门有限公司 | Purchasing method and system based on data middling station |
| CN111967927A (en) * | 2020-07-03 | 2020-11-20 | 青岛檬豆网络科技有限公司 | Commercial purchasing method for calculating satisfaction degree through multiple criteria |
| CN113344668A (en) * | 2021-06-16 | 2021-09-03 | 黑龙江八一农垦大学 | Chemical production raw material supply processing method and system |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106557861A (en) * | 2015-09-30 | 2017-04-05 | 上海合印包装服务有限公司 | A kind of supplier data statistical system for being applied to print business management |
| CN106875137A (en) * | 2015-12-14 | 2017-06-20 | 何怀泽 | A kind of procurement decisions optimization method and system |
| CN108256912A (en) * | 2018-01-15 | 2018-07-06 | 苏州索及信息技术有限公司 | Nonstandard parts precision marketing system based on hierarchical modeling |
| CN108711528A (en) * | 2018-04-10 | 2018-10-26 | 长园共创电力安全技术股份有限公司 | A kind of earthing mechanism |
| CN108596375A (en) * | 2018-04-11 | 2018-09-28 | 武汉理工大学 | A kind of equipment manufacture material requirement Design Method and system |
| CN108596375B (en) * | 2018-04-11 | 2021-07-27 | 武汉理工大学 | Equipment manufacturing material demand scheme design method and system |
| CN109191046A (en) * | 2018-08-30 | 2019-01-11 | 深圳春沐源控股有限公司 | The purchasing management method and purchasing management device of material for agriculture |
| CN109887585A (en) * | 2018-12-13 | 2019-06-14 | 平安万家医疗投资管理有限责任公司 | Information processing method, system and server, computer readable storage medium |
| CN111967927A (en) * | 2020-07-03 | 2020-11-20 | 青岛檬豆网络科技有限公司 | Commercial purchasing method for calculating satisfaction degree through multiple criteria |
| CN111915271A (en) * | 2020-07-29 | 2020-11-10 | 苏州安特威阀门有限公司 | Purchasing method and system based on data middling station |
| CN113344668A (en) * | 2021-06-16 | 2021-09-03 | 黑龙江八一农垦大学 | Chemical production raw material supply processing method and system |
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