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Information Journal Paper

Title

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

Pages

  828-834

Abstract

 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.

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  • Cite

    APA: Copy

    TORABI, N., TAVAKKOLI MOGHADDAM, R., NAJAFI, E., & HOSSEINZADEH LOTFI, F.. (2019). A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multiobjective Interior Search Algorithm. INTERNATIONAL JOURNAL OF ENGINEERING, 32(6 (TRANSACTIONS C: Aspects)), 828-834. SID. https://sid.ir/paper/745585/en

    Vancouver: Copy

    TORABI N., TAVAKKOLI MOGHADDAM R., NAJAFI E., HOSSEINZADEH LOTFI F.. A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multiobjective Interior Search Algorithm. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2019;32(6 (TRANSACTIONS C: Aspects)):828-834. Available from: https://sid.ir/paper/745585/en

    IEEE: Copy

    N. TORABI, R. TAVAKKOLI MOGHADDAM, E. NAJAFI, and F. HOSSEINZADEH LOTFI, “A Two-Stage Green Supply Chain Network with a Carbon Emission Price by a Multiobjective Interior Search Algorithm,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 32, no. 6 (TRANSACTIONS C: Aspects), pp. 828–834, 2019, [Online]. Available: https://sid.ir/paper/745585/en

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