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Sustainable dynamic cellular facility layout: a solution approach using simulated annealing-based meta-heuristic

Author

Listed:
  • Kuldeep Lamba

    (Birla Institute of Management Technology)

  • Ravi Kumar

    (NTPC School of Business)

  • Shraddha Mishra

    (Indian Institute of Technology Delhi)

  • Shubhangini Rajput

    (Indian Institute of Technology Delhi)

Abstract

The fiercely competitive business environment may require the manufacturing layouts to be modified across the entire planning horizon owing to addition or deletion of new/existing products, machines or processes. The existing layout may not be appropriate for the next time periods as product combination and part demand tend to vary under multi-time scenario. Also the increased awareness of environmental concerns and paucity of vital resources like electric energy has led organizations to rethink about their manufacturing strategies and design layouts which are both cost effective as well as environmentally sustainable. An appropriately planned layout not only helps in reduction of material handling distance but can also greatly contribute to enhancement of the energy efficiency of manufacturing systems and contribute to resource productivity and sustainable value creation. To address these issues in the facility layout design, this paper models a dynamic cellular facility layout problem incorporating the sustainability aspect by considering the minimization of net electric energy consumption along with material handling and rearrangement costs. The model presented in this work is a mixed integer non-linear program. The model aims to minimize the aggregated cost of overall material handling for both the inter and intra-cell movements simultaneously. Additionally the model also minimizes the net electrical energy consumption across the entire time horizon. Twenty five data sets corresponding to varying combinations of machines, time periods and cells have been taken from extant literature to validate the proposed model. LINGO 10 optimization software has been used to solve the proposed model. However, due to NP-Hard nature of cellular facility layout problem, the proposed model is computationally difficult to be solved in reasonable time using LINGO 10, particularly, for layouts pertaining to larger dimensions. To overcome these complexities, a meta-heuristic based on simulated annealing (SA) is also employed to solve the model. It is discerned from the experimental results that LINGO is not able to optimally solve the model whereas the SA optimally solves the model for larger dimensions as well in reasonable computational time.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:annopr:v:290:y:2020:i:1:d:10.1007_s10479-019-03340-w
    DOI: 10.1007/s10479-019-03340-w
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    References listed on IDEAS

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    1. Safaei, N. & Saidi-Mehrabad, M. & Jabal-Ameli, M.S., 2008. "A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system," European Journal of Operational Research, Elsevier, vol. 185(2), pages 563-592, March.
    2. Shang, Jen S., 1993. "Multicriteria facility layout problem: An integrated approach," European Journal of Operational Research, Elsevier, vol. 66(3), pages 291-304, May.
    3. Saifallah Benjaafar, 2002. "Modeling and Analysis of Congestion in the Design of Facility Layouts," Management Science, INFORMS, vol. 48(5), pages 679-704, May.
    4. Wu, Xiaodan & Chu, Chao-Hsien & Wang, Yunfeng & Yan, Weili, 2007. "A genetic algorithm for cellular manufacturing design and layout," European Journal of Operational Research, Elsevier, vol. 181(1), pages 156-167, August.
    5. Ravi Kumar & Surya Prakash Singh, 2018. "Simulated Annealing-Based Embedded Meta-Heuristic Approach to Solve Bi-objective Robust Stochastic Sustainable Cellular Layout," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 69-93, March.
    6. Wang, Ruiqi & Zhao, Huan & Wu, Yan & Wang, Yufei & Feng, Xiao & Liu, Mengxi, 2018. "An industrial facility layout design method considering energy saving based on surplus rectangle fill algorithm," Energy, Elsevier, vol. 158(C), pages 1038-1051.
    7. Akash Tayal & Angappa Gunasekaran & Surya Prakash Singh & Rameshwar Dubey & Thanos Papadopoulos, 2017. "Formulating and solving sustainable stochastic dynamic facility layout problem: a key to sustainable operations," Annals of Operations Research, Springer, vol. 253(1), pages 621-655, June.
    8. Balakrishnan, Jaydeep & Cheng, Chun Hung, 2007. "Multi-period planning and uncertainty issues in cellular manufacturing: A review and future directions," European Journal of Operational Research, Elsevier, vol. 177(1), pages 281-309, February.
    9. S. Altuntas & T. Dereli & H. Selim, 2013. "Fuzzy weighted association rule based solution approaches to facility layout problem in cellular manufacturing system," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 15(3), pages 253-271.
    10. Iqbal, Asif & Al-Ghamdi, Khalid A., 2018. "Energy-efficient cellular manufacturing system: Eco-friendly revamping of machine shop configuration," Energy, Elsevier, vol. 163(C), pages 863-872.
    11. Timothy Urban, 1998. "Solution procedures for the dynamic facility layout problem," Annals of Operations Research, Springer, vol. 76(0), pages 323-342, January.
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