Evaluation and benchmarking of lean manufacturing system environment: A graph theoretic approach

Kumar, R.; Kumar, V.

Abstract: Manufacturing industries are consistently working on improving their operational performance to remain competitive in the market. LM is a well-recognized approach for improving the overall performance. It contains several elements covered under a few lean attributes. This paper presents the application of Graph Theory and Matrix Approach (GTMA) for the identification of relative importance of different lean attributes in a lean environment using qualitative and quantitative factors. The Lean Manufacturing Attributes (LMA’s), affecting the overall LM environment, of a manufacturing industry were identified and analyzed for the implications on the managerial decisions. .In this proposed study, The GTMA approach is applied to prioritize the LMA’s based on their relative importance.

How to cite this paper

        APA: Kumar, R & Kumar, V. (2016). Evaluation and benchmarking of lean manufacturing system environment: A graph theoretic approach. Uncertain Supply Chain Management, 4(2), 147-160.
    

        Chicago/Turabian: Kumar, R & Kumar, V. 2016. "Evaluation and benchmarking of lean manufacturing system environment: A graph theoretic approach." Uncertain Supply Chain Management 4, no. 2 (2016): 147-160.
    

        AMA: Kumar, R & Kumar, V. Evaluation and benchmarking of lean manufacturing system environment: A graph theoretic approach. Uncertain Supply Chain Management. 2016;4(2):147-160.
    

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