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

Kumar, R.; Kumar, V.

Growing Science » Uncertain Supply Chain Management » Evaluation and benchmarking of lean manufacturing system environment: A graph theoretic approach

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 4 Issue 2 pp. 147-160 , 2016

Evaluation and benchmarking of lean manufacturing system environment: A graph theoretic approach Pages 147-160 Download PDF

Authors: Rakesh Kumar, Vikas Kumar

DOI: 10.5267/j.uscm.2015.10.003

Keywords: Approach, Graph theory, Graph Theory and Matrix, Lean manufacturing attributes, Lean Manufacturing system, Permanent function

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

 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.

Refrences

Ahuja, I. P. S., & Khamba, J. S. (2008). An evaluation of TPM initiatives in Indian industry for enhanced manufacturing performance. International Journal of Quality & Reliability Management, 25(2), 147-172.

Anand, G., & Kodali, R. (2008). Selection of lean manufacturing systems using the PROMETHEE. Journal of modelling in management, 3(1), 40-70.

Singh, B., Garg, S. K., & Sharma, S. K. (2009). Lean can be a survival strategy during recessionary times. International journal of productivity and performance management, 58(8), 803-808.

Biswal, P. C. (2012). Discrete mathematics and graph theory. PHI Learning Pvt. Ltd.

Chowdary, B. V., & George, D. (2011). Improvement of manufacturing operations at a pharmaceutical company: a lean manufacturing approach. Journal of Manufacturing Technology Management, 23(1), 56-75.

Dombrowski, U., Mielke, T., & Engel, C. (2012). Knowledge management in lean production systems. Procedia CIRP, 3, 436-441.

Gross, J. L., & Yellen, J. (2005). Graph theory and its applications. CRC press.

Grover, S., Agrawal, V. P., & Khan, I. A. (2006). Role of human factors in TQM: a graph theoretic approach. Benchmarking: An International Journal, 13(4), 447-468.

Khadse, P. B., Sarode, A. D., & Wasu, R. (2013). Lean manufacturing in Indian industries: A Review. International Journal of Latest Trends in Engineering and Technology, 3(1), 175-181.

Kumar, R., & Kumar, V. (2012, October). Lean Manufacturing System: An overview. In Proceedings of the National Conference on Trends and Advances in Mechanical Engineering, YMCA. University of Science & Technology, Faridabad, Haryana (pp. 742-747).

Kumar, R., & Kumar, V. (2014). Barriers in implementation of lean manufacturing system in Indian industry: A survey. International Journal of Latest Trends in Engineering and Technology, 4(2), 243-251.

Kumar, R., & Kumar, V. (2015). Lean manufacturing in Indian context: A survey. Management Science Letters, 5(4), 321-330.

Kumar, V. (2010). JIT based quality management: concepts and implications in Indian context. International Journal of Engineering Science and Technology, 2(1), 40-50.

Li, S., Rao, S. S., Ragu-Nathan, T. S., & Ragu-Nathan, B. (2005). Development and validation of a measurement instrument for studying supply chain management practices. Journal of Operations Management, 23(6), 618-641.

Mishra, O. P., Kumar, V., & Garg, D. (2013). Evaluating Distribution Process of a Supply Chain in Just-in-Time Environment Using Application of Graph Theory. Management, 8(4), 018-025.

Mishra, O., & Garg, D. (2013). JIT supply chain; an investigation through general system theory. Management Science Letters, 3(3), 743-752.

Nordin, N., Deros, B. M., & Wahab, D. A. (2010). A survey on lean manufacturing implementation in Malaysian automotive industry. International Journal of Innovation, Management and Technology, 1(4), 374-380.

Pemmaraju, S., & Skiena, S. (2003). Computational Discrete Mathematics: Combinatorics and Graph Theory with Mathematica®. Cambridge university press.

Pepper, M. P. J., & Spedding, T. A. (2010). The evolution of lean Six Sigma. International Journal of Quality & Reliability Management, 27(2), 138-155.

Rao, R. V., & Gandhi, O. P. (2002). Failure cause analysis of machine tools using digraph and matrix methods. International Journal of Machine Tools and Manufacture, 42(4), 521-528.

Shah, R., & Ward, P. T. (2003). Lean manufacturing: context, practice bundles, and performance. Journal of operations management, 21(2), 129-149.

Shah, R., & Ward, P. T. (2007). Defining and developing measures of lean production. Journal of operations management, 25(4), 785-805.

Taj, S., & Morosan, C. (2011). The impact of lean operations on the Chinese manufacturing performance. Journal of manufacturing technology management, 22(2), 223-240.

Silva, S. K. P. N. (2012). Applicability of value stream mapping (VSM) in the apparel industry in Sri Lanka. International Journal of Lean Thinking, 3(1), 36-41.

Spear, S., & Bowen, H. K. (1999). Decoding the DNA of the Toyota production system. Harvard Business Review, 77, 96-108.

Upadhye, N., Deshmukh, S. G., & Garg, S. (2010). Lean manufacturing system for medium size manufacturing enterprises: an Indian case. International Journal of Management Science and Engineering Management, 5(5), 362-375.

Womack, J. P., Jones, D. T., & Roos, D. (1990). The Machine that Changed the World (HarperPerennial, New York, NY).