A technical note on 'Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation'

P. Subramanian; N. Ramkumar; T.T. Narendran; K. Ganesh

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A technical note on 'Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation'

机译：关于“使用遗传算法和粒子群优化分析闭环供应链”的技术说明

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This study analyses the mixed-integer linear program (MILP) proposed by Kannan et al. [Kannan, G., Noorul Hag, A., and Devika, M., 2009. Analysis of closed loop supply chain using genetic algorithm and particle swarm optimization. International Journal of Production Research, 47 (5), 1175-1200] in their paper entitled 'Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation'. Since we find inconsistencies in the model, we propose modifications to rectify the flaws. The revised model is presented and tested using a hypothetical problem.

机译：本研究分析了Kannan等人提出的混合整数线性程序（MILP）。 [Kannan，G.，Noorul Hag，A.和Devika，M.，2009。使用遗传算法和粒子群算法对闭环供应链进行分析。国际生产研究杂志，47（5），1175-1200]在他们的论文《使用遗传算法和粒子群优化分析闭环供应链》中。由于我们发现模型中存在不一致之处，因此我们建议进行修改以纠正缺陷。提出的修订模型使用假设问题进行了测试。

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来源
《International Journal of Production Research》 |2012年第4期|p.593-602|共10页
作者
P. Subramanian; N. Ramkumar; T.T. Narendran; K. Ganesh;
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作者单位

Department of Management Studies, Indian Institute of Technology Madras, Chennai-600036, Tamilnadu, India;

Department of Management Studies, Indian Institute of Technology Madras, Chennai-600036, Tamilnadu, India;

Department of Management Studies, Indian Institute of Technology Madras, Chennai-600036, Tamilnadu, India;

Global Business Services - Global Delivery, IBM India Private Limited, Bandra East, Mumbai-400051, Maharashtra, India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
closed loop supply chain; integer linear mathematical model; distribution inventory supply chain model; hypothetical data set;

机译：闭环供应链;整数线性数学模型分销库存供应链模型;假设数据集;

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1. Analysis Of Closed Loop Supply Chain Using Genetic Algorithm And Particle Swarm Optimisation [J] . G. Kannan, A. Noorul Haq, M. Devika International Journal of Production Research . 2009,第5期

机译：遗传算法和粒子群算法的闭环供应链分析
2. Optimization of a Closed Loop Green Supply Chain using Particle Swarm and Genetic Algorithms [J] . Mojtaba Rahimi a, Hamed Fazlollahtabar Jordan Journal of Mechanical and Industrial Engineering . 2018,第2期

机译：基于粒子群和遗传算法的闭环绿色供应链优化。
3. A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks [J] . Hamed Soleimani, Govindan Kannan Applied Mathematical Modelling . 2015,第14期

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4. A Multi-Objective Model for Solar Industry Closed-Loop Supply Chain by Using Particle Swarm Optimization [C] . YiWen Chen, Li-Chih Wang, Tzu-Li Chen, International Conference on Flexible Automation and Intelligent Manufacturing . 2014

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5. Analysis of Profitability and Remanufacturing Market Share of a Closed-Loop Supply Chain: A Discrete-Event Simulation Approach [D] . Cetin, Melih Metin. 2020

机译：闭环供应链的盈利能力和再制造市场份额分析：一种离散事件仿真方法
6. Designing a Multistage Supply Chain in Cross-Stage Reverse Logistics Environments: Application of Particle Swarm Optimization Algorithms [O] . Tzu-An Chiang, Z. H. Che, Zhihua Cui -1

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7. Solving closed-loop supply chain problems using game theoretic particle swarm optimisation [O] . Kalpit Patne, Nagesh Shukla, Senevi Kiridena, 2018

机译：使用游戏理论粒子群优化解决闭环供应链问题

A technical note on 'Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation'

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