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Lean supply chain performance measurement

Author

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  • Kazi Arif-Uz-Zaman
  • A.M.M. Nazmul Ahsan

Abstract

Purpose - – The purpose of this paper is to present supply chain metrics and to propose a fuzzy-based performance evaluation method for lean supply chain. Design/methodology/approach - – To understand the overall performance of cost competitive supply chain the paper investigates the alignment of market strategy and position of the supply chain. Since lean is applicable in many supply chains, the authors propose a set of metrics to evaluate supply chain performance. Moreover, the paper uses a fuzzy model to evaluate the performance of cost competitive supply chains. Fuzzy is an appropriate model method when uncertainty is present. It also allows modelling of a significant number of performance metrics across multiple supply chain elements and processes. Competitive strategy can be achieved by using a different weight calculation for different supply chain situations. Findings - – Research provides optimal metrics for lean supply chains. The proposed method can measure the performance of lean supply chains using a fuzzy approach and competitive strategies. Research limitations/implications - – The metrics which have been selected to measure the performance of lean supply chains is particularly applicable for high volume, low-price products. Practical implications - – By identifying optimal performance metrics and applying performance evaluation methods, managers can predict the overall supply chain performance under lean strategy. By identifying performance for each metric they can also categorize the existing performance and optimise them accordingly. Originality/value - – This study provides a performance evaluation method for supply chain managers to assess the effects of lean tools and competitive strategies.

Suggested Citation

  • Kazi Arif-Uz-Zaman & A.M.M. Nazmul Ahsan, 2014. "Lean supply chain performance measurement," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(5), pages 588-612, June.
    • Handle: RePEc:eme:ijppmp:v:63:y:2014:i:5:p:588-612
    DOI: 10.1108/IJPPM-05-2013-0092
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    Citations

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    Cited by:

    1. Azyyati Anuar & Rohaizah Saad & Rushami Zein Yusoff, 2018. "Operational Performance and Lean Healthcare in the Healthcare Sector: Review on the Dimensions and Relationships," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(4), pages 276-292, April.
    2. Vlad-Tudor TRINCĂ, 2020. "Lean and Quality Management Tools Used in Performance Measurement," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 21(5), pages 719-729, December.
    3. Cagatay Tasdemir & Rado Gazo, 2018. "A Systematic Literature Review for Better Understanding of Lean Driven Sustainability," Sustainability, MDPI, vol. 10(7), pages 1-54, July.
    4. Chand, Pushpendu & Thakkar, Jitesh J. & Ghosh, Kunal Kanti, 2018. "Analysis of supply chain complexity drivers for Indian mining equipment manufacturing companies combining SAP-LAP and AHP," Resources Policy, Elsevier, vol. 59(C), pages 389-410.
    5. Vikash Sharma & Rakesh D. Raut & Sachin Kumar Mangla & Balkrishna E. Narkhede & Sunil Luthra & Ravindra Gokhale, 2021. "A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1191-1212, February.
    6. Ruiz-Benítez, Rocío & López, Cristina & Real, Juan C., 2018. "The lean and resilient management of the supply chain and its impact on performance," International Journal of Production Economics, Elsevier, vol. 203(C), pages 190-202.
    7. Kozlenkova, Irina V. & Hult, G. Tomas M. & Lund, Donald J. & Mena, Jeannette A. & Kekec, Pinar, 2015. "The Role of Marketing Channels in Supply Chain Management," Journal of Retailing, Elsevier, vol. 91(4), pages 586-609.
    8. Edith Kitzmantel, 2016. "EU-Fiskalregeln - Anker oder Mühlstein der europäischen Wirtschaftspolitik?," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 42(3), pages 431-450.
    9. Zhao, Peixin & Yin, Shengnan & Han, Xue & Li, Zhuyue, 2021. "Research on lean supply chain network model based on node removal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    10. Hilbert, Martin, 2016. "The bad news is that the digital access divide is here to stay: Domestically installed bandwidths among 172 countries for 1986–2014," Telecommunications Policy, Elsevier, vol. 40(6), pages 567-581.
    11. Wenzhu Liao & Tong Wang, 2018. "Promoting Green and Sustainability: A Multi-Objective Optimization Method for the Job-Shop Scheduling Problem," Sustainability, MDPI, vol. 10(11), pages 1-19, November.

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