QUT ePrints

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.

[img] Submitted Version (PDF 195kB)
Available to QUT staff and students only | Request a copy from author

    View at publisher

    Abstract

    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.

    Impact and interest:

    Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

    These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

    Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

    ID Code: 46723
    Item Type: Conference Paper
    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 10:36
    Last Modified: 01 Nov 2011 23:43

    Export: EndNote | Dublin Core | BibTeX

    Repository Staff Only: item control page