Identifying and Ranking Critical Success Factors for Implementing Leagile Manufacturing Industries Using Modified TOPSIS

Authors: Naveen Virmani, Rajeev Saha, Rajeshwar Sahai

Abstract:

Leagile is combination of both lean and agile system. Lean is concerned with less of everything i.e. less material, less time, less space, less manpower to produce a product, while agile is concerned with quick respond to customer demand and to reconfigure the system as soon as possible to meet the customer expectations well on time. The market is excessively competitive, so there is a dire need for the companies to adopt new and modern technologies with latest equipments. It has been seen that implementation of leagile system become tedious so the purpose of the paper is to find critical success factors (CSF) affecting leagile manufacturing system using literature review and rank them by using modified TOPSIS (Technique of order preference by similarity to ideal solution) technique.

Keywords: Agile manufacturing, lean manufacturing, leagile manufacturing, modified TOPSIS.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1130507

References:

[1] Bortolotti, T., Boscari, S., Danese, P., ‘Successful lean implementation: Organizational culture and soft lean practices’, International Journal of production economics, Vol.160, 2014, pp. 182-201
[2] Brien MJ, Al-Biqami NM, ‘Proceedings of objects, components and thevirtual enterprise, An interdisciplinary workshop at Object-Oriented Programming Systems Languages, and Applications (OOPSLA')’, Vancouver, Canada, 1998.
[3] Bunce, P., and Gould, P., ‘From Lean to Agile Manufacturing’, IEE Colloquium (Digest), Vol.278, 1996, pp.3-5.
[4] Chavez, R., Yu, W., Jacobs, M., Fynes, B., ‘Internal lean practices and performance: The role of technological turbulence’ International Journal of Production Economics, Vol.160, 2014, pp 157-171.
[5] Chen, S.J. and Hwang, C.L., ‘Fuzzy multiple factor decision making – methods and applications’, Lecture Notes in Economics and Mathematical Systems, Springer-Verlag, Berlin, 1992.
[6] David, F.R., ‘Strategic management concepts and cases’, Pearson Education, Inc., Publishing as Prentice Hall, One Lake Street, Upper Saddle River, New Jersey, 2011.
[7] Hofer, A.R., Hofer, C., Eroglu, C., Waller, M.A., ‘An institutional theoretic perspective on forces driving adoption of lean production globally: China vis-à-vis the USA’ International journal of Logistics Management, Vol.22, No.2, 2011, 148–178.
[8] Li, S., Rao, S.S., Ragu-Nathan, T.S., Ragu-Nathan, B., ‘Development and validation of a measurement instrument for studying supply chain management practices’ Journal of Operations Management, vol.23,No. 6, 2005, pp.618–641.
[9] Karlsson, C., Ahlstrom, P., ‘Assessing change towards lean production”, International Journal of operations and production management’, Vol. 16, 1996, pp. 24-41.
[10] Ketchen DJ, Giunipero LC, ‘The intersection of strategic management andsupply chain management’, Industrial Marketing Management, Vol.33, No.1, 2004, pp 51-56.
[11] Liker, J.K., Hoseus, M., ‘Human resource development in Toyota culture’, International Journal of human resource management and culture, Vol.10, No.1, 2010, pp 34–50.
[12] Mason Jones, R Naylor and Towill, ‘Engineering the leagile supply chain’, International Journal of Agile Manufacturing Systems, Vol.2, No.1, 2000, pp. 54-61.
[13] Mccullen, P and Towill D.R., ‘Achieving lean supply through agile manufacturing’, Integrated Manufacturing systems, Vol. 12, No.7, 2001, pp 524-33
[14] 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.
[15] 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
[16] 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.
[17] Prajogo, D., McDermott, C., “The relationship between multidimensional organizational culture and performance”, International Journal of Production and operations management, Vol.31, No., 2011, pp 712–735.
[18] 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.
[19] Rao, R.V. ‘Decision Making in the Manufacturing Environment Using Graph Theory and Fuzzy Multiple Attribute Decision Making Methods’, Springer-Verlag, London, 2007.
[20] Raub S, Wittich DV, ‘Implementing knowledge management: Three strategiesfor effective CKOs’, European Management Journal, Vol.22, No.6, 2004, pp 714-724.
[21] Rother, M., ‘Toyota Kata: Managing People for Improvement, Adaptiveness and Superior Results’. McGraw-Hill, 2009.
[22] Saaty, T.L. and Tran, L.T. ‘On the invalidity of fuzzifying numerical judgments in the analytic hierarchy process’, Mathematical and Computer Modeling, Vol. 46, No. 7,2007, pp.962–975.
[23] Spear, S.J., Bowen, H.K., ‘Decoding the DNA of the Toyota production system’, Harvard Business Review, Vol. 77, No.9-10, 1999, pp 97–106.
[24] Stratton, R., and Warburton, R. D. H., ‘The strategic integration of agile and lean supply’, International Journal of Production Economics,Vol.85, 2003, pp 183-198.
[25] Thakkar J, Kanda A, Deshmukh SG, ‘Evaluation of buyer-supplier relationships using integrated mathematical approach of interpretive structural modeling(ISM) and graph theoretic matrix: the case study of Indian automotive SMEs’, Journal of Manufacturing Technology Management,Vol.19, No.1, 2010, pp 92-124.
[26] Thawesaengskulthai, N. and Tannock, J.D.T., ‘Pay-off selection criteria for quality and improvement initiatives’, International Journal of Quality & Reliability Management, Vol. 25 No. 4, 2008, pp. 366-82
[27] Wagner SM, Eggert A, Lindemann E (2010) Creating and appropriating value in collaborative relationships, Journal of Business Research, 63(8): 840-848.
[28] Xing, Bo, Gao, W., Bright, G. (2007), ‘Design and Application of Reconfigurable Manufacturing Systems in Agile Mass Customization.
[29] Manufacturing Environment’, International Conference Industrial Engineering and Systems Management.
[30] Jain, V., Raj, T.(2013), ‘Evaluation of flexibility in FMS using SAW and WPM’, Decision Science Letters, Vol. 2, 223-230
[31] Rao (2013), ‘Improved Multiple Attribute Decision Making Methods’, Decision making in manufacturing environment using graph theory and fuzzy multiple attribute decision making methods. Volume 2, Springer Publications.