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Annals of Operations Research

, Volume 253, Issue 1, pp 621–655 | Cite as

Formulating and solving sustainable stochastic dynamic facility layout problem: a key to sustainable operations

  • Akash Tayal
  • Angappa Gunasekaran
  • Surya Prakash Singh
  • Rameshwar Dubey
  • Thanos Papadopoulos
Original Paper

Abstract

Facility layout design, a NP hard problem, is associated with the arrangement of facilities in a manufacturing shop floor, which impacts the performance, and cost of system. Efficient design of facility layout is a key to the sustainable operations in a manufacturing shop floor. An efficient layout design not only optimizes the cost and energy due to proficient handling but also increase flexibility and easy accessibility. Traditionally, it is solved using meta-heuristic techniques. But these algorithmic or procedural methodologies do not generate effective and efficient layout design from sustainable point of view, where design should consider multiple criteria such as demand fluctuations, material handling cost, accessibility, maintenance, waste and more. In this paper, to capture the sustainability in the layout design these parameters are considered, and a new sustainable stochastic dynamic facility layout problem (SDFLP) is formulated and solved. SDFLP is optimized for material handling cost and rearrangement cost using various meta-heuristic techniques. The pool of layouts thus generated are then analyzed by data envelopment analysis to identify efficient layouts. A novel hierarchical methodology of consensus ranking of layouts is proposed which combines the multiple attributes/criteria. Multi attribute decision-making techniques such as technique for order preference by similarity to ideal solution, interpretive ranking process and analytic hierarchy process, Borda–Kendall and integer linear programming based rank aggregation techniques are applied. To validate the proposed methodology data sets for facility size \(N=12\) for time period \(T=5\) having Gaussian demand are considered.

Keywords

Stochastic dynamic facility layout Simulated annealing Chaotic simulated annealing TOPSIS AHP DEA Borda–Kendall Flow distance Accessibility Maintenance Sustainable operations 

Notes

Acknowledgments

The authors would like to acknowledge the constructive and helpful comments on the previous version of the manuscript which helped to improve the presentation of the paper considerably.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Akash Tayal
    • 1
  • Angappa Gunasekaran
    • 2
  • Surya Prakash Singh
    • 3
  • Rameshwar Dubey
    • 4
  • Thanos Papadopoulos
    • 5
  1. 1.Indira Gandhi Delhi Technical University for WomenDelhiIndia
  2. 2.Charlton College of BusinessUniversity of MassachusettsDartmouthUSA
  3. 3.Department of Management StudiesIndian Institute of Technology DelhiDelhiIndia
  4. 4.Symbiosis Institute UniversityPuneIndia
  5. 5.Kent Business SchoolUniversity of KentCanterburyUK

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