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A heuristic-based non-linear mixed integer approach for optimizing modularity and integrability in a sustainable reconfigurable manufacturing environment

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Abstract

Nowadays, manufacturing environment is characterized by the necessity of customized flexibility as well as coping rapidly and cost-effectively to changing market demands. These challenges must be fulfilled while minimizing impacts on the environment and the society. To reach these goals, a key paradigm called sustainable manufacturing can be coupled with reconfigurable manufacturing systems (RMSs). The coupling of sustainability concerns with RMS characteristics is a basis to develop a new generation of sustainable production systems. This paper outlines sustainability in a reconfigurable environment from an energy consumption point of view. A non-linear mathematical model is developed to optimize the energy consumption in an RMS through a redefinition of two of its core characteristics, i.e., modularity and integrability. The objective is to minimize the energy consumption of the system by selecting the most suitable modular machines from a set of candidate machines. The optimization problem is addressed using an exhaustive search heuristic algorithm. Finally, the applicability of the proposed heuristic is demonstrated through simple illustrative numerical examples and the discussions of the obtained results.

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  • 02 June 2020

    This original article contained a mistake.

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Authors and Affiliations

  1. Aix-Marseille University, University of Toulon, CNRS, LIS, Marseille, France

    Elisa Massimi, Amirhossein Khezri & Lyes Benyoucef

  2. Department of Industrial Engineering, University of Bologna, Bologna, Italy

    Elisa Massimi

  3. IMT Atlantique, LS2N-CNRS, Nantes, France

    Hichem Haddou Benderbal

Authors
  1. Elisa Massimi
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  2. Amirhossein Khezri
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  3. Hichem Haddou Benderbal
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  4. Lyes Benyoucef
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Correspondence to Hichem Haddou Benderbal.

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The original version of this article was revised: Notations and decision variables has been revised.

Appendix

Appendix

In the appendix, for each scenario, the basic module energy consumption values, the auxiliary module assembly and disassembly energy consumption values as well as the energy consumption values of the machine change from one operation to another are provided.

Table 24 Scenario 2—energy consumption of basic modules BM (Wh)
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Table 25 Scenario 2—energy consumption for assembling auxiliary modules AM (Wh)
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Table 26 Scenario 2—energy consumption for disassembling auxiliary modules AM (Wh)
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Table 27 Scenario 2—energy consumption for changing machine (Wh)
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Table 28 Scenario 3—energy consumption of basic modules BM (Wh)
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Table 29 Scenario 3—energy consumption for assembling auxiliary modules AM (Wh)
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Table 30 Scenario 3—energy consumption for disassembling auxiliary modules AM (Wh)
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Table 31 Scenario 3—energy consumption for changing machine (Wh)
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Table 32 Scenario 4—energy consumption of basic modules BM (Wh)
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Table 33 Scenario 4—energy consumption for assembling auxiliary modules AM (Wh)
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Table 34 Scenario 4—energy consumption for disassembling auxiliary modules AM (Wh)
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Table 35 Scenario 4—energy consumption for changing machine (Wh)
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Massimi, E., Khezri, A., Benderbal, H.H. et al. A heuristic-based non-linear mixed integer approach for optimizing modularity and integrability in a sustainable reconfigurable manufacturing environment. Int J Adv Manuf Technol 108, 1997–2020 (2020). https://doi.org/10.1007/s00170-020-05366-y

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