 An integrated fuzzy QFD and TOPSIS approach to enhance leanness in supply chainA. Noorul Haq and Varma Boddu International Journal of Business Performance and Supply Chain Modelling, 2015, vol. 7, issue 2, 171-188 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. Keywords: supply chain management; SCM; lean supply chains; leanness; food supply chains; quality function deployment; fuzzy QFD; fuzzy logic; fuzzy TOPSIS; food industry; lean enablers; India; food processing. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpsc:v:7:y:2015:i:2:p:171-188 Access Statistics for this article More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd |
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