Quantifying Key Factors Affecting Leagile Manufacturing System
Authors: Naveen Virmani, Rajeev Saha, Rajeshwar Sahai
Abstract:
In today’s market, striving hard has become necessary for the industries to survive due to the intense competition and globalization. In earlier days, there were few sellers and limited numbers of buyers, so customers were having fewer options to buy the product. But today, the market is highly competitive and volatile. Industries are focusing on robotics, advance manufacturing methods like AJM (Abrasive Jet Machining), EDM (Electric Discharge Machining), ECM (Electrochemical Machining) etc., CAD/CAM, CAE to make quality products and market them in shortest possible time. Leagile manufacturing system is ensuring best available solution at minimum cost to meet the market demand. This paper tries to assimilate the concept of Leagile manufacturing system in today’s scenario and evaluating key factors affecting Leagile manufacturing using digraph technique.
Keywords: Agile manufacturing, digraph, lean manufacturing, leagile manufacturing.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131481
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[1] DEO, N., “Graph Theory with application to Engineering and Computer Science”, Prentice Hall, New Delhi.2000.
[2] Prajogo, D., McDermott, C., The relationship between multidimensional organizational culture and performance’, International Journal of Production and operations management, Vol.31, No 2, 2011, pp. 712–735
[3] Prince. J and Kay, J.M, ‘Combining lean and agile characteristics: creation of virtual groups by enhanced production flow analysis’, International Journal of Production Economics,Vol.85, No.3, 2003, pp 305-318
[4] Needy, K.L., Abdulmalek. F, Rajgopal. J, ‘A classification scheme for the process industry to guide the implementation of lean’ Engineering Management Journal, Vol.18, 2006, pp. 15-25
[5] Olhager, J., Prajogo, D.I., ‘The impact of manufacturing and supply chain improvement initiatives :a survey comparing make-to-order and make-to- stock firms’ Omega , Vol. 40, No.2 , 2012, pp. 159–165.
[6] Gandhi, O. P. and Agrawal, V.P., FMEA – A Digraph and matrix approach, Reliability Engineering and System Safety, 35, 1992.147–158.
[7] Goldman, S.L, Nagel, R.N, Priess, K, “Agile competitors and virtual organizations – strategies for enriching the customer. Van Nostrand Reinhold, New York.1995
[8] Robinson, D. F. and Foulds, L. R, Digraphs: Theory and Techniques (Gordon and Breach science publishers, London), 1980.
[9] Rokeach, M. (1973), the Nature of Human Values. New York: The Free Press.
[10] Naylor, J.B, Naim, M.M and Berry, D, ‘Leagility: Integrating the lean and agile manufacturing paradigms in total supply chain’, International Journal of Production Economics, Vol.62, 1999, pp.107-18.
[11] Rao, R.V. ‘Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods’, Springer-Verlag, London.2007.
[12] Raub S, Wittich DV, ‘Implementing knowledge management: Three strategies for effective CKOs’, European Management Journal, Vol.22, No.6, 2004, pp 714-724.
[13] Rother, M., ‘Toyota Kata: Managing People for Improvement, Adaptiveness and Superior Results’. McGraw-Hill.2009.
[14] Saaty, T.L. and Tran, L.T. ‘On the invalidity of fuzzyfying numerical judgments in the analytic hierarchy process’, Mathematical and Computer Modeling, Vol. 46, No. 7, 2007, pp.962–975.
[15] Spear, S.J., Bowen, H.K., ‘Decoding the DNA of theToyota production system’, Harvard Business Review, Vol. 77, No.9-10, 1999, pp 97–106.
[16] Naylor, J.B, Naim, M.M and Berry, D, “Leagility: Integrating the lean and agile manufacturing paradigms in total supply chain” International Journal of Production Economics, Vol.62, 1999, pp.107-18.
[17] Singh, M., Gupta, A., ‘Performance analysis of compact heat exchanger’, International Journal for innovative science & technology’, Vol. 1, No.12,2015, pp. 503-508
[18] Mccullen, P and Towill D.R., ‘Achieving lean supply through agile manufacturing’, Integrated Manufacturing systems, Vol. 12, No.7, 2001, pp 524-33
[19] Goldsby, T.J., Griffith, S .E. and Roath, A.S. “Modeling lean, agile and leagile supply chain strategies”, Journal of business logistics 27(1),2006, 57-80
[20] Wong, C.Y., Wong Y.K., “A lean manufacturing framework for malysian electrical and electronic industry. Paper presented at International proceedings of economics and development & research(IPEDR),Singapore.2011
[21] Mason Jones, R Naylor and Towill ,”Engineering the leagile supply chain” International Journal of Agile Manufacturing Systems, 2(1), 2000.pp. 54-61.
[22] Prince, J. and Kay, J.M, “Combining lean and agile characteristics: creation of virtual groups by enhanced production flow analysis” International Journal of Production Economics”85(3),2003, pp. 305-318
[23] Shah, R., Ward, P.T., Lean manufacturing: context, practice bundles, and performance. Journal of Operations Management 21(2), 2003, pp. 129–149
[24] Grover, S., Agarwal, V.P., Khan, I.A., “Role of human factors in TQM: a graph theoretic approach”, Benchmarking: An international journal, 13(4), 2006, pp. 447-168.