基于遗传算法的三阶段集成供应链生产与配送调度优化

Q3 Business, Management and Accounting
R. Rasi, Mahshid Jeihouni
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引用次数: 3

摘要

本文研究了一个三阶段供应链的综合P-D调度模型,该模型涉及三个阶段:一辆汽车经过位于不同地理区域的不同供应商、制造商、分销商和消费者的加工。本文的贡献在于提供了考虑运输车队、供应商-制造商集成的供应链固定出发时间下的综合P-D调度方法。提出了混合整数规划的数学模型,并利用CPLEX软件对小尺度问题进行了求解,验证了模型的正确性。考虑到所提问题的解的复杂性和NP-hard结构,采用遗传算法通过MATLAB软件寻找高质量的解。最后,研究结果表明,案例研究的管理者能够以最小的时间和成本将订单交付给客户。结果表明,该算法在求解P-D实际问题方面具有较好的质量水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Production and distribution scheduling optimisation in a three-stage integrated supply chain using genetic algorithm
This paper addresses an integrated P-D scheduling model arising in a three-stage supply chain, which involves three stages: a single vehicle after processing by different suppliers, manufacturers, distributors and consumers located in separate geographic regions. The contribution of this paper is to provide an integrated P-D scheduling under fixed departure times in supply chain with consideration of transportation fleet, integration of supplier-manufacturer. The mathematical model was proposed as a mixed integer programming and solved by CPLEX software in small-scale problems to validate the model. Given the complexity of the solution and NP-hard structure of the proposed problem, genetic algorithm was used to find quality solutions by MATLAB software. Finally, the results of research show that managers of the case study can deliver orders to customer in minimum time and cost. According to the results, the proposed algorithm (GA) has a desired level of quality in solving the P-D real problems.
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来源期刊
International Journal of Business Performance and Supply Chain Modelling
International Journal of Business Performance and Supply Chain Modelling Business, Management and Accounting-Business and International Management
CiteScore
2.00
自引率
0.00%
发文量
22
期刊介绍: IJBPSCM covers original, high-quality and cutting-edge research on all aspects of supply chain modelling, aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance. Topics covered include Business performance modelling, strategy Vendor/supplier selection, supplier development, purchasing management Supply chain management (SCM), green supply chain modelling Reverse logistics, closed loop/knowledge-based supply chains, 3PL/4PL Sustainable/quality based/agile/leagile/intelligent SCM Supply chain performance/optimisation/risk/decision making/support systems AI, information sharing in SCM, systems approach to SCM Coordinated/global/flexible SCM, risk mitigation strategies Stochastic supply chain games IT-enabled SCM, fuzzy modelling, data mining Supply chain network management, modelling/simulation, implementation Training/education, information security, RFID Supply chain analysis, transportation decisions, vehicle routing, bullwhip effect Logistics in disaster management Cross-country comparison.
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