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Integrating facility layout design and aisle structure in manufacturing systems: Formulation and exact solution

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  • Pourvaziri, Hani
  • Pierreval, Henri
  • Marian, Helene

Abstract

In manufacturing systems, aisles are paths which are used for the movement of workers, transportation devices, and materials. The aisle structure contributes to layout efficiency by reducing material handling costs, mean flow time and the amount of space needed, and providing smooth transportation. Therefore, to achieve a good layout, it is essential to determine the position of facilities such as machines and workstations, but also the corresponding aisle structure. In this article, we analyze the requirements for the design of an efficient aisle structure and propose a formulation of the corresponding layout problem as a mixed-integer linear programming model. This formulation allows the layout of unequal-area facilities and the aisle structure to be simultaneously optimized. In optimizing the aisle structure, issues such as optimizing the number, position, and width of the aisles, the position of the entrance and exit doors, and how to connect them to the aisles are studied. By optimizing the number and width of the aisles, the proposed approach contributes towards optimizing transportation traffic. A branch-and-cut algorithm, improved by adding optimality cuts and efficient branching and node strategies, is used to solve the problem. Finally, a set of computational experiments is performed to show the effectiveness of the proposed approach.

Suggested Citation

  • Pourvaziri, Hani & Pierreval, Henri & Marian, Helene, 2021. "Integrating facility layout design and aisle structure in manufacturing systems: Formulation and exact solution," European Journal of Operational Research, Elsevier, vol. 290(2), pages 499-513.
  • Handle: RePEc:eee:ejores:v:290:y:2021:i:2:p:499-513
    DOI: 10.1016/j.ejor.2020.08.012
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    References listed on IDEAS

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    1. Friedrich, Christian & Klausnitzer, Armin & Lasch, Rainer, 2018. "Integrated slicing tree approach for solving the facility layout problem with input and output locations based on contour distance," European Journal of Operational Research, Elsevier, vol. 270(3), pages 837-851.
    2. Karaoğlan, İsmail & Erdoğan, Güneş & Koç, Çağrı, 2018. "The Multi-Vehicle Probabilistic Covering Tour Problem," European Journal of Operational Research, Elsevier, vol. 271(1), pages 278-287.
    3. Anjos, Miguel F. & Vieira, Manuel V.C., 2017. "Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions," European Journal of Operational Research, Elsevier, vol. 261(1), pages 1-16.
    4. Friedrich, C. & Klausnitzer, A. & Lasch, R., 2018. "Integrated slicing tree approach for solving the facility layout problem with input and output locations based on contour distance," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 94867, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Dunker, Thomas & Radons, Gunter & Westkamper, Engelbert, 2005. "Combining evolutionary computation and dynamic programming for solving a dynamic facility layout problem," European Journal of Operational Research, Elsevier, vol. 165(1), pages 55-69, August.
    6. Gomez, A. & Fernandez, Q. I. & De la Fuente Garcia, D. & Garcia, P. J., 2003. "Using genetic algorithms to resolve layout problems in facilities where there are aisles," International Journal of Production Economics, Elsevier, vol. 84(3), pages 271-282, June.
    7. Belov, G. & Scheithauer, G., 2006. "A branch-and-cut-and-price algorithm for one-dimensional stock cutting and two-dimensional two-stage cutting," European Journal of Operational Research, Elsevier, vol. 171(1), pages 85-106, May.
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