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Cites:

Information Journal Paper

Title

Modeling and optimizing a multi-objective flow shop scheduling problem to minimize energy consumption, completion time and tardiness

Pages

  204-222

Abstract

 Energy consumption considerations in production systems have recently attracted the attention of researchers. In conventional production scheduling models the importance has more often been given to time-related rather than to energy-related performance measures. In this paper we simultaneously consider Energy consumption, completion time and tardiness in the presented Multi-Objective Mixed Integer Programming flow shop scheduling model. After validating the model by solving small-scale numerical examples with Weighted Sum and Epsilon-constraint method in GAMS, the large and medium-scale examples are solved via NSGA-II and SPEA-II metaheuristic-algorithms. The results proves the efficiency of the proposed algorithms.

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    APA: Copy

    BAGHERI, MOHSEN, Babaei Meybodi, Neda, & Enzebati, Amir Hossein. (2018). Modeling and optimizing a multi-objective flow shop scheduling problem to minimize energy consumption, completion time and tardiness. DECISIONS AND OPERATIONS RESEARCH, 3(3 ), 204-222. SID. https://sid.ir/paper/268870/en

    Vancouver: Copy

    BAGHERI MOHSEN, Babaei Meybodi Neda, Enzebati Amir Hossein. Modeling and optimizing a multi-objective flow shop scheduling problem to minimize energy consumption, completion time and tardiness. DECISIONS AND OPERATIONS RESEARCH[Internet]. 2018;3(3 ):204-222. Available from: https://sid.ir/paper/268870/en

    IEEE: Copy

    MOHSEN BAGHERI, Neda Babaei Meybodi, and Amir Hossein Enzebati, “Modeling and optimizing a multi-objective flow shop scheduling problem to minimize energy consumption, completion time and tardiness,” DECISIONS AND OPERATIONS RESEARCH, vol. 3, no. 3 , pp. 204–222, 2018, [Online]. Available: https://sid.ir/paper/268870/en

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