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A Novel Approach for Material Handling-Driven Facility Layout

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  • Adem Erik

    (Project Office, Tarsus University, Takbaş Mahallesi Kartaltepe Sokak, 33400 Mersin, Turkey
    Faculty of Industrial and Systems Engineering, University of Iowa, 4627 Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52240, USA)

  • Yusuf Kuvvetli

    (Faculty of Industrial Engineering, Çukurova University, 01330 Adana, Turkey)

Abstract

Material handling is a widely used process in manufacturing and is generally considered a non-value-added process. The Dynamic Facility Layout Problem (DFLP) considered in this paper minimizes the total material handling and re-arrangement cost. In this study, an integrated DFLP model with unequal facility areas, assignment of material handling devices (MHD), and flexible bay structure (FBS) is considered, and it is aimed to propose fast solution approaches. Two different solution methods are proposed for the problem, which are the genetic algorithm and the simulated annealing algorithm, respectively. In both methods, a non-linear mathematical model solution was used to calculate the fitness values. Thus, the solutions in the feasible solution space are utilized. The proposed solution approaches were applied to solve four problems published in the literature. The computational experiments have validated the effectiveness of the algorithms and the quality of solutions produced.

Suggested Citation

  • Adem Erik & Yusuf Kuvvetli, 2024. "A Novel Approach for Material Handling-Driven Facility Layout," Mathematics, MDPI, vol. 12(16), pages 1-37, August.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:16:p:2548-:d:1458625
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    References listed on IDEAS

    as
    1. Akash Tayal & Surya Prakash Singh, 2018. "Integrating big data analytic and hybrid firefly-chaotic simulated annealing approach for facility layout problem," Annals of Operations Research, Springer, vol. 270(1), pages 489-514, November.
    2. Kuldeep Lamba & Ravi Kumar & Shraddha Mishra & Shubhangini Rajput, 2020. "Sustainable dynamic cellular facility layout: a solution approach using simulated annealing-based meta-heuristic," Annals of Operations Research, Springer, vol. 290(1), pages 5-26, July.
    3. Akash Tayal & Surya Prakash Singh, 2019. "Formulating multi-objective stochastic dynamic facility layout problem for disaster relief," Annals of Operations Research, Springer, vol. 283(1), pages 837-863, December.
    4. Yunfang Peng & Tian Zeng & Lingzhi Fan & Yajuan Han & Beixin Xia, 2018. "An Improved Genetic Algorithm Based Robust Approach for Stochastic Dynamic Facility Layout Problem," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-8, December.
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