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

An integrated fuzzy QFD and TOPSIS approach to enhance leanness in supply chain 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; lean supply chain; leanness; food supply chain; quality function deployment; QFD; fuzzy logic; TOPSIS; food industries; lean enablers. Reference to this paper should be made as follows: Haq, A.N. and Boddu, V. (2015) ` in supply chain', Int. J. Business Performance and Supply Chain Modelling, Vol. 7, No. 2, pp.171­188. Biographical http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

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

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Publisher
Inderscience Publishers
Copyright
Copyright © 2015 Inderscience Enterprises Ltd.
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2015.069924
Publisher site
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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; lean supply chain; leanness; food supply chain; quality function deployment; QFD; fuzzy logic; TOPSIS; food industries; lean enablers. Reference to this paper should be made as follows: Haq, A.N. and Boddu, V. (2015) ` in supply chain', Int. J. Business Performance and Supply Chain Modelling, Vol. 7, No. 2, pp.171­188. Biographical

Journal

International Journal of Business Performance and Supply Chain Modelling – Inderscience Publishers

Published: Jan 1, 2015

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