Triangular Linguistic Fuzzy based performance measurement model for supply chain to assess leanness attributes

Zaman, Kazi Arif-Uz-Zaman & Karim, Azharul (2011) Triangular Linguistic Fuzzy based performance measurement model for supply chain to assess leanness attributes. In (Ed.) International Conference on Agile Manufacturing Systems, 18-20 December 2011, Dayalbagh Educational Institute, Agra, India.

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Increasing global competitiveness worldwide has forced manufacturing organizations to produce high-quality products more quickly and at a competitive cost. In order to reach these goals, they need good quality components from suppliers at optimum price and lead time. This actually forced all the companies to adapt different improvement practices such as lean manufacturing, Just in Time (JIT) and effective supply chain management. Applying new improvement techniques and tools cause higher establishment costs and more Information Delay (ID). On the contrary, these new techniques may reduce the risk of stock outs and affect supply chain flexibility to give a better overall performance. But industry people are unable to measure the overall affects of those improvement techniques with a standard evaluation model .So an effective overall supply chain performance evaluation model is essential for suppliers as well as manufacturers to assess their companies under different supply chain strategies. However, literature on lean supply chain performance evaluation is comparatively limited. Moreover, most of the models assumed random values for performance variables. The purpose of this paper is to propose an effective supply chain performance evaluation model using triangular linguistic fuzzy numbers and to recommend optimum ranges for performance variables for lean implementation. The model initially considers all the supply chain performance criteria (input, output and flexibility), converts the values to triangular linguistic fuzzy numbers and evaluates overall supply chain performance under different situations. Results show that with the proposed performance measurement model, improvement area for each variable can be accurately identified.

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ID Code: 46723
Item Type: Conference Paper
Refereed: Yes
Keywords: Supply chain performance evaluation, Leanness attributes, Triangular fuzzy number, Fuzzy linguistic variable, Performance variables
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MANUFACTURING ENGINEERING (091000) > Manufacturing Management (091005)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2011 Please consult the authors.
Deposited On: 01 Nov 2011 00:36
Last Modified: 01 Nov 2011 13:43

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