T-JIT环境下企业供应链中采购管理供应商选择和订单分配研究

Abstract
Figure/Table
References (0)
Related Citation (15)

Abstract To optimize the supplier selection and order allocation procedures of purchasing management and improve their efficiency, this study employs mathematical statistics theory and optimization algorithm in building a two-stage analysis method implemented in MATLAB and LINGO software. Specifically, the AHP-EM and TOPSIS methods are used to select the suppliers in phase 1. The weights produced in stage 1 are applied to the multi-objective mixed-integer programming model to study the order allocation in phase 2. On the basis of an example, the impact of information sharing rate on supplier selection, order allocation, and total cost is determined. Finally, the solution to this problem under the Total just-in-time environment is found to be better than that in the general environment. The study of this issue offers important theoretical and practical significance by extending supply chain management theory, improving the enterprise supply chain management level, and enhancing the core competitiveness of enterprises.

Key words： traffic engineering order allocation purchasing management multi-objective mixed-integer programming model total just-in-time supply chain management

Received: 02 June 2017

Fund:Supported by the Project of Fundamental Research Funds for the Central Universities of China (No.310822151030)

Corresponding Authors: HAO Li E-mail: 524711728@qq.com

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	HAO Li
	HU Da-wei
	LI Chen

Cite this article:

HAO Li,HU Da-wei,LI Chen. Supplier Selection and Order Allocation Research on Purchasing Management in Supply Chain Enterprises under the Total just-in-time Environment[J]. Journal of Highway and Transportation Research and Development, 2018, 12(3): 80-89.

URL:

http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/ OR http://manu27.magtech.com.cn/Jwk_gljtkj_en/EN/Y2018/V12/I3/80

[1] WOMACK J R. Change the Machine of the World[M]. SHEN Xi-Jin Translation. Beijing:Commercial Press, 1999.17-54.(in Chinese)
[2] GREEN JR K W, ANTHONY INMAN R, BIROU L M, et al. Total JIT(T-JIT) and Its Impact on Supply Chain Competency and Organizational Performance[J]. Journal of Production Economics, 2014, 147:125-135.
[3] PAZHANI S, VENTURA J A, MENDOZA A. A Serial Inventory System With Supplier Selection and Order Quantity Allocation Considering Transportation Costs[J]. Applied Mathematical Modelling, 2016, 40:612-634.
[4] RODOLFO R M, DIANA S P, JOSÉ LUIS M F, et al. A Case Study:SMED & JIT Methodologies to Develop Continuous Fiow of Stamped Parts into AC Disconnect Assembly Line in Schneider Electric Tlaxcala Plant[J]. 15th IFAC Symposium on Information Control Problems in Manufacturing. 2015, 3(48):1399-1404.
[5] CEBI F, OTAY Í. A Two-stage Fuzzy Approach for Supplier Evaluation and Order Allocation Problem with Quantity Discounts and Lead Time[J]. Information Sciences, 2016,339:143-157.
[6] SCOTT J, HO W, DEY P K, et al. A Decision Support System for Supplier Selection and Order Allocation in Stochastic, Multi-stakeholder and Multi-criteria Environments[J]. Production Economics, 2015,166:226-237.
[7] KAMRAN S. MOGHADDAM. Fuzzy Multi-objective Model for Supplier Selection and Order Allocation in Reverse Logistics Systems Under Supply and Demand Uncertainty[J]. Expert Systems with Applications, 2015,42(15/16):6237-6254.
[8] CHEN S Y, CHEN R Q. Relationship Between Supplier and Manufacturer under the Condition of JIT Purchase[J]. Journal of Management Engineering, 1998,12(3):46-52.
[9] ZIMMER K. Supply Chain Coordination with Uncertain Just-in-time Delivery[J]. International Journal of Production Economics, 2002.5(77):1-15.
[10] ÖZGEN D, ÖNVT S, GVLSVN B, et al. A Two-phase Possibilistic Linear Programming Methodology for Multi-objective Supplier Evaluation and Order Allocation Problems[J]. Information Sciences,2008,178:485-500.
[11] ÖZGEN D, GVLSVNN B. Combining Possibilistic Linear Programming and Fuzzy AHP for Solving the Multi-objective Capacitated Uulti-facility Location Problem[J]. Information Sciences,2014,268:185-201.
[12] YANG Yan. Study of Supplier Selection Based on Genetic Algorithm[D]. Chengdu:Southwest Jiaotong University Master Degree Thesis, 2009. (in Chinese)
[13] HU Yan-chun. Research on Supplier Selection Strategy in JIT Purchasing[J]. Journal of China Management Informationization, 2008,10(11):82-83.(in Chinese)
[14] GUO Ting-ting. Research on the Model of Vendor Selection and Purchasing Quantity Allocation in JIT Purchase Environments[D]. Shenyang:Northeastern University, 2008.(in Chinese)
[15] XU Yan-fei. Research on the Optimal Number of Suppliers and Order Allocation Problem under Uncertainty Environment[D]. Qinhuangdao:Yanshan University, 2013.(in Chinese)
[16] ZHANG Cui-hua, ZHU Hong, MA Lin. The Model of Order Allocation for JIT Purchasing and Its Simulative Application[J]. Journal of Northeastern University:Natural Science, 2006,11(27):1291-1294.(in Chinese)
[17] XIONG Yun-feng, CHEN Zhang-lan, YUAN Hong-li. Comprehensive Evaluation of Ship Performance Based on Synthesized Weight and TOPSIS[J]. Journal of Ship Engineering, 2012,34(3):28-31.(in Chinese)
[18] JIANG Yan-ning, HAO Shu-chi. Inventory Allocation and Location Decision Model Based on Partial Cross-level and Centralized Storage[J]. Journal of Highway and Transportation Research and Development, 2016,11(33):152-158.(in Chinese)
[19] WEI Shu-di, JIANG Xiao-qi. A Single-Factor Fuzzy Evaluation Method of Using Information Entropy to Determine the Property Weights[J]. Journal of Computer Engineering and Science, 2010,32(7):93-94,107.(in Chinese)
[20] KONG Feng, LIU Hong-yan. Improvement on Algorithm for Final Priorities of AHP Based on Ideal Solution[J]. Journal of Systems Engineering, 2007,25(4):98-103.(in Chinese)
[21] LIU Kui, ZHANG Kun, WANG Cui-rong. Background Modeling Algorithm that Uses Chebyshev Inequality[J]. Journal of Computer Applications and Software, 2012,29(4):53-56.(in Chinese)