QUT ePrints

Lean supply chain performance evaluation method

Zaman, Kazi Arif-Uz-, Karim, Azharul, & Hyland, Paul (2012) Lean supply chain performance evaluation method. In Sohal, Amrik & Singh, Prakash (Eds.) Proceedings of the 10th ANZAM Operations, Supply Chain and Services Management Symposium, Australia and New Zealand Academy of Management (ANZAM), Monash University Law Chambers, Melbourne, Vic. (In Press)

[img] Accepted Version (PDF 32kB)
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 which demand of continuous improvements techniques. In this paper, we propose a fuzzy based performance evaluation method for lean supply chain. To understand the overall performance of cost competitive supply chain, we investigate the alignment of market strategy and position of the supply chain. Competitive strategies can be achieved by using a different weight calculation for different supply chain situations. By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy.

    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: 49678
    Item Type: Conference Paper
    Keywords: Supply chain metrics, lean supply chain, fuzzy based evaluation method
    Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000)
    Divisions: Current > QUT Faculties and Divisions > QUT Business School
    Current > Schools > School of Chemistry, Physics & Mechanical Engineering
    Current > QUT Faculties and Divisions > Science & Engineering Faculty
    Current > Schools > School of Management
    Deposited On: 13 Apr 2012 10:21
    Last Modified: 18 Apr 2013 14:45

    Export: EndNote | Dublin Core | BibTeX

    Repository Staff Only: item control page