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An integrated fuzzy QFD and TOPSIS approach to enhance leanness in supply chain

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  • A. Noorul Haq
  • Varma Boddu

Abstract

Lean principles are currently adopted in supply chain to ensure competitiveness in the global market and to meet customer requirements. This lean paradigm focuses on cost reduction using various tools and philosophies like just in time (JIT) and total quality management (TQM). To be lean, a supply chain must ensure many distinguishing lean attributes (LAs) influenced by lean enablers (LEs). In this paper, an integrated technique for order preference by similarity to ideal solution (TOPSIS) and quality function deployment (QFD) approach is proposed to increase the leanness of supply chain. The objective is to identify the most viable LEs to achieve the required LAs. Due to impreciseness and vagueness associated with decision-making problems, fuzzy logic is used to deal with linguistic judgments expressing relationships and correlations required by QFD. Presentation of a case study from the Indian food processing industry illustrates the proposed methodology.

Suggested Citation

  • A. Noorul Haq & Varma Boddu, 2015. "An integrated fuzzy QFD and TOPSIS approach to enhance leanness in supply chain," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 7(2), pages 171-188.
  • Handle: RePEc:ids:ijbpsc:v:7:y:2015:i:2:p:171-188
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    Cited by:

    1. Srie Vidhya Janani, E. & Ganesh Kumar, P., 2015. "Evaluating the technical barriers of large scale sustainable wireless sensor network: A resources approach," Resources Policy, Elsevier, vol. 46(P1), pages 134-141.
    2. Hemant Sharma & Nagendra Sohani & Ashish Yadav, 2023. "A fuzzy SWARA-WASPAS based approach for determining the role of lean practices in enabling the supply chain agility," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 492-511, March.

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