A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multi-objective Interior Search Algorithm

  • سال انتشار: 1398
  • محل انتشار: ماهنامه بین المللی مهندسی، دوره: 32، شماره: 6
  • کد COI اختصاصی: JR_IJE-32-6_005
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 432
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نویسندگان

N. Torabi

Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

R. Tavakkoli-Moghaddam

School of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran | Arts et Métiers ParisTech, LCFC, Metz, France

E. Najafi

Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

. Hosseinzadeh-Lotfi

Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

چکیده

This paper presented a new two-stage green supply chain network, in which includes two innovations. Firstly, it presents a new multi-objective model for a two-stage green supply chain problem that considers the amount of shortage in the network, reworking, and carbon-trading cost produced in the green supply chain. Secondly, because of the complexity of this model, it uses a new multi-objective interior search algorithm (MOISA) to solve the presented model. The obtained results of the proposed algorithm were compared with the results of other multi-objective meta-heuristics, namely MOPSO, SPEA2, and NSGA-II. The outcomes demonstrate that the proposed MOISA gives better Pareto solutions and indicates the superiority of the proposed algorithm in most cases. This paper presented a new two-stage green supply chain network, in which includes two innovations. Firstly, it presents a new multi-objective model for a two-stage green supply chain problem that considers the amount of shortage in the network, reworking, and carbon-trading cost produced in the green supply chain. Secondly, because of the complexity of this model, it uses a new multi-objective interior search algorithm (MOISA) to solve the presented model. The obtained results of the proposed algorithm were compared with the results of other multi-objective meta-heuristics, namely MOPSO, SPEA2, and NSGA-II. The outcomes demonstrate that the proposed MOISA gives better Pareto solutions and indicates the superiority of the proposed algorithm in most cases.

کلیدواژه ها

Green Supply Chain Network, Multi-Objective Optimization, Carbon Price, Interior search algorithm, meta-heuristic algorithm

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