CN102103730A - Automobile panel die quoting system and method - Google Patents
Automobile panel die quoting system and method Download PDFInfo
- Publication number
- CN102103730A CN102103730A CN2010105469900A CN201010546990A CN102103730A CN 102103730 A CN102103730 A CN 102103730A CN 2010105469900 A CN2010105469900 A CN 2010105469900A CN 201010546990 A CN201010546990 A CN 201010546990A CN 102103730 A CN102103730 A CN 102103730A
- Authority
- CN
- China
- Prior art keywords
- module
- quotation
- result
- output
- pricing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an automobile panel die quoting system and an automobile panel die quoting method. The estimate of an automobile panel die is calculated by adopting an entity weight method and a term-by-term cost method, an automobile panel die pricing algorithm, pricing-related parameters and a pricing result are scientifically and rationally judged by utilizing an expert experience library-based fuzzy coefficient comprehensive judgment module, and primary and secondary influence factor sets influencing the quotation of the automobile panel die and a primary fuzziness comprehensive judgment matrix are established, thereby eliminating the influence of pricing parameter selection randomness and experience dependence on the pricing result, providing a three-dimensional comprehensive process drawing, a digital value simulation result, a die structure and die processing information in a quoting process, and ensuring the quoting accuracy.
Description
Technical field
The present invention relates to the quotation system of car panel die and based on the quotation method of fuzzy mathematics theory.
Background technology
How quotation is the important difficult problem that each car panel die manufacturing enterprise faces to car panel die, fast, accurately, reasonably car panel die quotation result can win more order and profit for enterprise, helps improving the market competitiveness of enterprise.
Domestic existing car panel die quotation system is to rely on mould slip-stick artist's experience or only according to the theory valuation mostly, causes that the quotation resultant error is big, the quotation result is difficult to allow the client convince.At present, quotation system based on neural network can be carried out collaborative work with the car panel die industrial chain, continuous self-teaching mould quotation experience, but this system is the performance history complexity not only, lacking one simultaneously can carry out scientific and reasonable judge to valuation algorithm, valuation correlation parameter and quotation result, and quote process exists randomness and blindness.
Summary of the invention
The objective of the invention is at above the deficiencies in the prior art, a kind of quick, accurate, rational car panel die quotation system and method thereof are provided, this quotation system can be carried out collaborative work with the car panel die industrial chain, three-dimensional composite technology figure, numerical simulation result, mould structure and Mould Machining information are provided in quote process, guarantee the accuracy of quotation; Can to car panel die valuate algorithm, the valuation correlation parameter and the quotation result carry out scientific and rational judge, provide allow the client convince the quotation result foundation.
The technical scheme that car panel die quotation system of the present invention adopts is: comprise the customer information load module, this customer information load module output connects analysis module; Analysis module connects has respectively finished quotation project library, pricing parameter processing module and quotation result treatment module; Pricing parameter processing module connect valuation parameter library and its output be in turn connected into this computing module, cost management module, based on the fuzzy coefficient multifactorial evaluation module and the quotation result treatment module of expert experience base; The output of valuation parameter library connects the fuzzy coefficient multifactorial evaluation module based on expert experience base; The output of quotation result treatment module connects analysis module respectively, finishes quotation project library, valuation parameter library, pricing parameter processing module and cost management module.
The technical scheme that car panel die quotation method of the present invention adopts is to comprise the steps: 1) output to analysis module by customer information load module input customer requirement and with data; 2) analysis module extracts the customer information load module, the output data in finished item storehouse is carried out three-dimensional composite technology design, punching press numerical simulation, mould structure three-dimensional design, Mould Machining analysis to pre-quotation mould, the mould analysis result stored into finish in the quotation project library, output to pricing parameter processing module after simultaneously the mould analysis result being converted to fuzzy valuation parameter; 3) after the valuation parameter library extracts real-time all kinds of outsourcing pieces, material, machining unit price data data are outputed to pricing parameter processing module; 4) pricing parameter processing module will receive analysis module, the valuation parameter library data after according to handling based on the data type of the one-level influence factor collection storage unit in the fuzzy coefficient multifactorial evaluation module of expert experience base, the data storage handled well in the valuation parameter library, is outputed to the pricing module simultaneously; 5) pricing module receive adopt after the data of pricing parameter processing module the entity gravimetric method and item by item cost-or-market method evaluate algorithm for two kinds and carry out pricing, result of calculation outputs to the cost management module; 6) cost management module is calculated the ratio that various costs, profit and comprehensive tax account for total expenses, and result of calculation is converted to the fuzzy coefficient multifactorial evaluation module that outputs to behind the secondary influence factor collection based on expert experience base; 7) the one-level influence factor collection, one-level fuzzy comprehensive evoluation matrix that utilizes the secondary influence factor collection of cost management module output and the output of valuation parameter library based on the fuzzy coefficient multifactorial evaluation module of expert experience base passed judgment on valuate algorithm, valuation correlation parameter and quotation result of car panel die, and evaluation result is outputed to quotation result treatment module; 8) feed back to respectively behind the quotation result treatment module analysis analysis module, finish quotation project library, valuation parameter library, pricing parameter processing module, cost management module, whether need to offer again by feedback information control, when evaluation result is just exported price list when being better or good.
Advantage of the present invention is:
1, car panel die is carried out entity gravimetric method and two kinds of appraisal calculating of cost-or-market method item by item, utilization is carried out scientific and rational judge based on the fuzzy coefficient multifactorial evaluation module of expert experience base to valuate algorithm, valuation correlation parameter and quotation result of car panel die, reasonably offered, the I and II influence factor collection and the one-level fuzzy comprehensive evoluation matrix that influence the car panel die quotation have been created, select randomness and experience dependence to quotation result's influence thereby eliminated the valuation parameter, provide compellent quotation result to the client.
2, can in quote process, provide three-dimensional composite technology figure, numerical simulation result, mould structure, Mould Machining information, guarantee the accuracy of quotation.
Description of drawings
Fig. 1 is the composition structural drawing of car panel die quotation system;
Fig. 2 is the composition structural drawing of analysis module 2 among Fig. 1;
Fig. 3 is based on the composition structural drawing of the fuzzy coefficient multifactorial evaluation module 8 of expert experience base among Fig. 1.
Embodiment
Referring to Fig. 1, car panel die quotation system of the present invention comprises the customer information load module 1 of car panel die, and the output of this customer information load module 1 connects analysis module 2.Analysis module 2 connects has respectively finished quotation project library 3, pricing parameter processing module 5 and quotation result treatment module 9, the output link cost calculating parameter processing module 5 of analysis module 2, input connect quotation result treatment module 9, and with finish quotation project library 3 interchange information.The output of pricing parameter processing module 5 is in turn connected into this computing module 6, cost management module 7, based on the fuzzy coefficient multifactorial evaluation module 8 and the quotation result treatment module 9 of expert experience base.Pricing parameter processing module 5 also connects valuation parameter library 4, and with valuation parameter library 4 interchange information.The output of valuation parameter library 4 connects the fuzzy coefficient multifactorial evaluation module 8 based on expert experience base.The output of quotation result treatment module 9 connects analysis module 2 respectively, finishes quotation project library 3, valuation parameter library 4, pricing parameter processing module 5 and cost management module 7.
Referring to Fig. 2, analysis module 2 comprises an analytic unit 204, and the input of analytic unit 204 is respectively to have finished quotation project library output data storage unit 201, customer information load module output data storage unit 202, the output of quotation result treatment module judging unit 203 as a result.The output of analytic unit 204 is respectively analysis result processing unit 205 and analysis result storage unit 206, and analysis result processing unit 205 connects mould parameter storage unit 207 with its output.The quotation project library 3 finished among Fig. 1 connects and finishing quotation project library output data storage unit 201 in the analysis modules 2, the customer information load module output data storage unit 202 that customer information load module 1 connects in the analysis module 2, the quotation result treatment module that quotation result treatment module 9 connects in the analysis module 2 is exported judging unit 203 as a result.
Referring to Fig. 3, comprise valuation parameter library output data storage unit 301 based on the fuzzy coefficient multifactorial evaluation module 8 of expert experience base, the output of the valuation parameter library 4 among Fig. 1 connects this unit.The output of this unit connects one-level influence factor collection storage unit 302 and one-level fuzzy comprehensive evoluation matrix memory cell 303 respectively.The output of one-level influence factor collection storage unit 302 and one-level fuzzy comprehensive evoluation matrix memory cell 303 is connected one-level fuzzy comprehensive evoluation arithmetic element 305 respectively, and the output of one-level fuzzy comprehensive evoluation arithmetic element 305 connects one-level fuzzy comprehensive evoluation result set storage unit 307.One-level fuzzy comprehensive evoluation result set storage unit 307 connects evaluation result analytic unit 310 and secondary fuzzy comprehensive evoluation arithmetic element 308 respectively with its output.The input of secondary fuzzy comprehensive evoluation arithmetic element 308 connects secondary influence factor collection storage unit 306, cost management module output data storage unit 304 successively.The output of secondary fuzzy comprehensive evoluation arithmetic element 308 connects secondary fuzzy comprehensive evoluation result set storage unit 309, evaluation result analytic unit 310 successively.The output link cost administration module output data storage unit 304 of the cost management module 7 among Fig. 1.
The customer information load module 1 of the car panel die among Fig. 1 is used to obtain the mould customer requirement, comprising: information such as production lot, precision, technical requirement, product material.Analysis module 2 is used for the three-dimensional composite technology design of cladding member mold, punching press numerical simulation, mould structure three-dimensional design, Mould Machining analysis, information such as three-dimensional composite technology figure, numerical simulation result, mould structure, Mould Machining are provided, and these information translation are fuzzy valuation parameter.Finished quotation project library 3 and be used to store the information of having finished the quotation mould, the data of storage are used for instructing the mould analysis of new quotation project.Valuation parameter library 4 is used to store car panel die valuation parameter, comprising: one-level fuzzy comprehensive evoluation matrix, one-level influence factor collection, all kinds of outsourcing piece unit price, various types of materials unit price, all kinds of machining unit prices etc.Pricing parameter processing module 5 is used for handling the quotation parameter, makes that the quotation parameter can be by pricing module 6 and 4 identifications of valuation parameter library.Pricing module 6 is used to carry out entity gravimetric method and two kinds of appraisal calculating of cost-or-market method item by item.Cost management module 7 is used to calculate the ratio that industrial analysis and mould structure design cost, outsourcing piece expense, foundry goods and forging expense, common process expense, key component processing charges, mould assembly fee usefulness, die debugging expense, cost management expense, profit and comprehensive tax etc. account for total expenses, simultaneously result of calculation is converted to secondary influence factor collection.Fuzzy coefficient multifactorial evaluation module 8 based on expert experience base is used for car panel die valuation algorithm, valuation correlation parameter and quotation result are carried out scientific and rational judge.It is single in detail that quotation result treatment module 9 is used for the output quotation, according to based on the evaluation result of the fuzzy coefficient multifactorial evaluation module 8 of expert experience base to analysis module 2, finish quotation project library 3, valuation parameter library 4, pricing parameter processing module 5, cost management module 7 feedback information be provided.
The quotation project library output data storage unit 201 of finishing among Fig. 2 is used for storing from finishing the data that quotation project library 3 extracts.Customer information load module output data storage unit 202 is used for storing the data of extracting from the customer information load module 1 of car panel die.Whether quotation result treatment module output judging unit 203 analysis module 2 that is used for the Control of Automobile cladding member mold as a result carries out the mould analysis again.Analytic unit 204 is used for the three-dimensional composite technology design of cladding member mold, punching press numerical simulation, mould structure three-dimensional design, Mould Machining analysis.Analysis result processing unit 205 is used to handle the mould analysis result, and analysis result is converted to fuzzy valuation parameter.Analysis result storage unit 206 is used for the inventory analysis result, outputs to and finishes quotation project library 3.Die parameters storage unit 207 is used to store die parameters, and outputs to pricing parameter processing module 5.
Valuation parameter library output data storage unit 301 among Fig. 3 is used for storing the data of extracting from the valuation parameter library 4 of car panel die.One-level influence factor collection storage unit 302 is used to store one-level influence factor collection.One-level fuzzy comprehensive evoluation matrix memory cell 303 is used to store one-level fuzzy comprehensive evoluation matrix.Cost management module output data storage unit 304 is used for storing the data of extracting from cost management module 7.One-level fuzzy comprehensive evoluation arithmetic element 305 is used to carry out the computing of one-level fuzzy comprehensive evoluation.Secondary influence factor collection storage unit 306 is used for store secondary influence factor collection.One-level fuzzy comprehensive evoluation result set storage unit 307 is used to store one-level fuzzy comprehensive evoluation result set.Secondary fuzzy comprehensive evoluation arithmetic element 308 is used to carry out the computing of secondary fuzzy comprehensive evoluation.Secondary fuzzy comprehensive evoluation result set storage unit 309 is used for store secondary fuzzy comprehensive evoluation result set.Evaluation result analytic unit 310 is used for the analysis and judgment result, and outputs to quotation result treatment module 9.
Referring to Fig. 1-3, quotation at first is will be by the customer information load module 1 input customer requirement of car panel die based on the car panel die quotation system, and data are outputed to the analysis module 2 of car panel die, analysis module 2 extracts car panel die customer information load module 1, the output data in finished item storehouse 3 is carried out three-dimensional composite technology design to pre-quotation mould, the punching press numerical simulation, the mould structure three-dimensional design, Mould Machining is analyzed, the mould analysis result stored into finish in the quotation project library 3, output to pricing parameter processing module 5 after simultaneously the mould analysis result being converted to fuzzy valuation parameter.Simultaneously, after car panel die valuation parameter library 4 extracts data such as domestic real-time all kinds of outsourcing piece unit prices, various types of materials unit price, all kinds of machining unit prices, data are also outputed to pricing parameter processing module 5.Then, pricing parameter processing module 5 receive analysis module 2, the valuation parameter library 4 data after according to handling based on the data type of the one-level influence factor collection storage unit 302 in the fuzzy coefficient multifactorial evaluation module 8 of expert experience base, the data storage handled well in valuation parameter library 4, is outputed to pricing module 6 simultaneously.Pricing module 6 receive adopt after the data of pricing parameter processing module 5 the entity gravimetric method and item by item cost-or-market method evaluate algorithm for two kinds and carry out pricing, result of calculation outputs to cost management module 7.Cost management module 7 calculate industrial analyses and mould structure design cost, outsourcing piece expense, foundry goods and forging expense, common process expense, key component processing charges, mould assembly fee usefulness, die debugging expense, cost management expense, profit and comprehensively tax etc. account for the ratio of total expenses, and result of calculation is converted to the fuzzy coefficient multifactorial evaluation module 8 that outputs to behind the secondary influence factor collection based on expert experience base.The one-level influence factor collection, one-level fuzzy comprehensive evoluation matrix that utilizes the secondary influence factor collection of cost management module 7 output and 4 outputs of car panel die valuation parameter library based on the fuzzy coefficient multifactorial evaluation module 8 of expert experience base carries out scientific and rational judge to valuate algorithm, valuation correlation parameter and quotation result of car panel die, and then eliminate the valuation parameter and select randomness and experience dependence to quotation result's influence, evaluation result is outputed to quotation result treatment module 9.At last, analyze by quotation result treatment module 9, evaluation result is fed back to analysis module 2 respectively, finishes quotation project library 3, valuation parameter library 4, pricing parameter processing module 5 and cost management module 7, whether need to offer again by feedback information control.When evaluation result just export when being better or good price list and with client's negotiation, reach the order agreement, quote process finishes.
Claims (4)
1. a car panel die quotation system comprises customer information load module (1), it is characterized in that: this customer information load module (1) output connects analysis module (2); Analysis module (2) connects has respectively finished quotation project library (3), pricing parameter processing module (5) and quotation result treatment module (9); Pricing parameter processing module (5) connect valuation parameter library (4) and its output be in turn connected into this computing module (6), cost management module (7), based on the fuzzy coefficient multifactorial evaluation module (8) of expert experience base and the result treatment module (9) of offering; Valuation parameter library (4) output connects the fuzzy coefficient multifactorial evaluation module (8) based on expert experience base; The quotation result treatment module (9) output connect respectively analysis module (2), finish the quotation project library (3), the valuation parameter library (4), pricing parameter processing module (5) and cost management module (7).
2. car panel die quotation system according to claim 1, it is characterized in that: described analysis module (2) comprises analytic unit (204), and analytic unit (204) input connects has respectively finished quotation project library output data storage unit (201), customer information load module output data storage unit (202), the output of quotation result treatment module judging unit (203) as a result; Analytic unit (204) output is respectively analysis result processing unit (205) and analysis result storage unit (206), and analysis result processing unit (205) output connects mould parameter storage unit (207).
3. car panel die quotation system according to claim 1, it is characterized in that: described fuzzy coefficient multifactorial evaluation module (8) based on expert experience base comprises valuation parameter library output data storage unit (301), and this unit output connects one-level influence factor collection storage unit (302) and one-level fuzzy comprehensive evoluation matrix memory cell (303) respectively; Output is connected one-level fuzzy comprehensive evoluation arithmetic element (305) respectively to one-level influence factor collection storage unit (302) with one-level fuzzy comprehensive evoluation matrix memory cell (303), one-level fuzzy comprehensive evoluation arithmetic element (305) output connects one-level fuzzy comprehensive evoluation result set storage unit (307), and one-level fuzzy comprehensive evoluation result set storage unit (307) output connects evaluation result analytic unit (310) and secondary fuzzy comprehensive evoluation arithmetic element (308) respectively; The input of secondary fuzzy comprehensive evoluation arithmetic element (308) connects secondary influence factor collection storage unit (306) successively and is connected secondary fuzzy comprehensive evoluation result set storage unit (309) and evaluation result analytic unit (310) successively with cost management module output data storage unit (304), output.
4. a car panel die quotation method is characterized in that comprising the steps:
1) outputs to analysis module (2) by customer information load module (1) input customer requirement and with data;
2) analysis module (2) extracts customer information load module (1), the output data of finished item storehouse (3) is carried out three-dimensional composite technology design, punching press numerical simulation, mould structure three-dimensional design, Mould Machining analysis to pre-quotation mould, the mould analysis result stored into finish in quotation project library (3), output to pricing parameter processing module (5) after simultaneously the mould analysis result being converted to fuzzy valuation parameter;
3) valuation parameter library (4) outputs to pricing parameter processing module (5) with data after extracting real-time all kinds of outsourcing pieces, material, machining unit price data;
4) pricing parameter processing module (5) receive analysis module (2), the valuation parameter library (4) data after according to handling based on the data type of the one-level influence factor collection storage unit (302) in the fuzzy coefficient multifactorial evaluation module (8) of expert experience base, the data storage of handling well is arrived in the valuation parameter library (4), output to pricing module (6) simultaneously;
5) pricing module (6) receive adopt after the data of pricing parameter processing module (5) the entity gravimetric method and item by item cost-or-market method evaluate algorithm for two kinds and carry out pricing, result of calculation outputs to cost management module (7);
6) cost management module (7) is calculated the ratio that various costs, profit and comprehensive tax account for total expenses, and result of calculation is converted to the fuzzy coefficient multifactorial evaluation module (8) that outputs to behind the secondary influence factor collection based on expert experience base;
7) the one-level influence factor collection, one-level fuzzy comprehensive evoluation matrix that utilizes the secondary influence factor collection of cost management module (7) output and valuation parameter library (4) output based on the fuzzy coefficient multifactorial evaluation module (8) of expert experience base passed judgment on valuate algorithm, valuation correlation parameter and quotation result of car panel die, and evaluation result is outputed to quotation result treatment module (9);
8) feed back to analysis module (2) after quotation result treatment module (9) is analyzed respectively, finish quotation project library (3), valuation parameter library (4), pricing parameter processing module (5), cost management module (7), whether need to offer again by feedback information control, when evaluation result is just exported price list when being better or good.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105469900A CN102103730A (en) | 2010-11-17 | 2010-11-17 | Automobile panel die quoting system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105469900A CN102103730A (en) | 2010-11-17 | 2010-11-17 | Automobile panel die quoting system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102103730A true CN102103730A (en) | 2011-06-22 |
Family
ID=44156478
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010105469900A Pending CN102103730A (en) | 2010-11-17 | 2010-11-17 | Automobile panel die quoting system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102103730A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103136687A (en) * | 2011-11-29 | 2013-06-05 | 德尔福派克电气系统有限公司 | Automobile wire harness offer automatic generation information processing method and device based on universal serial bus (USB)-Key |
| CN103366301A (en) * | 2013-07-26 | 2013-10-23 | 辽宁博宇科技股份有限公司 | Price reporting system of metal electronic commerce resource benchmarking enterprise, and reported price displaying method |
| CN104573996A (en) * | 2015-01-30 | 2015-04-29 | 三明学院 | Automated quotation system for casting enterprises |
| CN106779776A (en) * | 2015-11-21 | 2017-05-31 | 广州市雄冠条码实业有限公司 | Adhesive sticker Cost accounting method and adhesive sticker quotation system |
| CN108985870A (en) * | 2018-05-16 | 2018-12-11 | 杭州维善科技有限公司 | Design service network platform on-line pricing method and system |
| CN109523326A (en) * | 2019-01-18 | 2019-03-26 | 北京磁云数字科技有限公司 | A kind of charging is shared in the benefit system, method, computer equipment and storage medium |
| CN110956501A (en) * | 2019-11-28 | 2020-04-03 | 珠海采筑电子商务有限公司 | Price system implementation method and related product |
| CN110992139A (en) * | 2019-11-28 | 2020-04-10 | 珠海采筑电子商务有限公司 | Bidding price realizing method and related product |
| CN113434812A (en) * | 2021-05-20 | 2021-09-24 | 青岛海洋地质研究所 | Hydrate trial production target optimization method based on fuzzy comprehensive evaluation |
-
2010
- 2010-11-17 CN CN2010105469900A patent/CN102103730A/en active Pending
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103136687A (en) * | 2011-11-29 | 2013-06-05 | 德尔福派克电气系统有限公司 | Automobile wire harness offer automatic generation information processing method and device based on universal serial bus (USB)-Key |
| CN103366301A (en) * | 2013-07-26 | 2013-10-23 | 辽宁博宇科技股份有限公司 | Price reporting system of metal electronic commerce resource benchmarking enterprise, and reported price displaying method |
| CN104573996A (en) * | 2015-01-30 | 2015-04-29 | 三明学院 | Automated quotation system for casting enterprises |
| CN106779776A (en) * | 2015-11-21 | 2017-05-31 | 广州市雄冠条码实业有限公司 | Adhesive sticker Cost accounting method and adhesive sticker quotation system |
| CN108985870A (en) * | 2018-05-16 | 2018-12-11 | 杭州维善科技有限公司 | Design service network platform on-line pricing method and system |
| CN109523326A (en) * | 2019-01-18 | 2019-03-26 | 北京磁云数字科技有限公司 | A kind of charging is shared in the benefit system, method, computer equipment and storage medium |
| CN110956501A (en) * | 2019-11-28 | 2020-04-03 | 珠海采筑电子商务有限公司 | Price system implementation method and related product |
| CN110992139A (en) * | 2019-11-28 | 2020-04-10 | 珠海采筑电子商务有限公司 | Bidding price realizing method and related product |
| CN113434812A (en) * | 2021-05-20 | 2021-09-24 | 青岛海洋地质研究所 | Hydrate trial production target optimization method based on fuzzy comprehensive evaluation |
| CN113434812B (en) * | 2021-05-20 | 2022-11-22 | 青岛海洋地质研究所 | Hydrate pilot mining target optimization method based on fuzzy comprehensive evaluation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102103730A (en) | Automobile panel die quoting system and method | |
| Ribeiro et al. | Fostering selection of sustainable manufacturing technologies–a case study involving product design, supply chain and life cycle performance | |
| Miller et al. | A case study of lean, sustainable manufacturing | |
| Sabadka et al. | Optimization of production processes using the Yamazumi method | |
| CN109711494A (en) | A kind of the circulation marketing method and system of renewable resource | |
| Greinacher et al. | Multi-objective optimization of lean and resource efficient manufacturing systems | |
| Guo et al. | Quality control in production process of product-service system: A method based on turtle diagram and evaluation model | |
| Sari et al. | INTEGRATED SUPPLIER SELECTION MODEL USING ANP, TAGUCHI LOSS FUNCTION AND PROMETHEE METHODS. | |
| CN113986869A (en) | Construction engineering material price information data calculation method based on machine learning time sequence prediction algorithm | |
| Virmani et al. | Prioritisation and assessment of leagile manufacturing enablers using interpretive structural modelling approach | |
| Cañizares et al. | Analyzing the effects of applying IoT to a metal-mechanical company | |
| Zubair et al. | Optimization of material handling system through material handling equipment selection | |
| CN111161094A (en) | Electric power work order demand point identification method based on deep learning | |
| Chakraborty et al. | Performance measurement of distribution centre combining data envelopment analysis and analytic hierarchy process | |
| Antesty et al. | Mapping the degree of technological capability in small and medium industry of automotive components | |
| Oke et al. | An approach to measuring the quality of maintenance performance | |
| TWI438707B (en) | Manufacturing cost analysis system | |
| Atiya et al. | AN OPTIMIZATION OF PRODUCT DESIGN AND MANUFACTURING BASED ON SUSTAINABILITY. | |
| CN104715304A (en) | Novel purchase inventory accounting data processing platform based on cloud computing system and applicable to die making enterprises | |
| Yan et al. | Promote intelligent manufacturing with lean six sigma management concept | |
| Zahraee et al. | The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation | |
| Takakuwa et al. | Analysis of manufacturing systems using simulations in terms of material flow cost accounting | |
| Gao | Research on the calculation and improvement of a company’s activity cost based on activity-based costing and industrial engineering method | |
| Martiček et al. | Online Monitoring of the Friction Coefficient in the Conditions of Digital Enterprise | |
| Zuerl | Cost break down and cost structure analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20110622 |