Abstract
The sports goods manufacturing industry in India has gained phenomenal growth over the past five decades and now holds a prominent place in the Indian economy by providing massive employment and export revenue to the country. To enhance the quality and efficiency of production the industry is trying to implement new and efficient techniques in its manufacturing operations. Cellular manufacturing is a solution to the batch manufacturing process; hence reducing the lead-time with higher machine utilization, improved product quality, and enhanced customer satisfaction. In this work an attempt has been made to study the current status, enablers, and barriers in the implementation of cellular manufacturing principles in the sports industry-specific to Meerut and nearby regions. An ISM based structural modeling and MICMAC analysis of implementation enablers, and barriers of cellular manufacturing practices in sports industry in Meerut are also presented. Management vision and Government support are the major driving enablers while ‘Limited technological support, infrastructure and role model industry’, and ‘Lack of management support’ are among the major barriers. The implementation barriers are also arranged into five categories based on the factors related to their removal. The practical implications and future scope of the study are also proposed.
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References
Attri R, Grover S (2017) Modelling the quality enabled factors of facility layout design stage of production system life cycle. Int J Syst Assur Eng Manag 8:413–423. https://doi.org/10.1007/s13198-015-0386-y
Bazargan-Lari M (1999) Layout designs in cellular manufacturing. Eur J Oper Res 112(2):258–272
Belassi W, Fadlalla A (1998) An integrative framework for FMS diffusion. Omega 26(6):699–713
Bidanda B, Ariyawongrat P, Needy KL, Norman BA, Tharmmaphornphilas W (2005) Human related issues in manufacturing cell design, implementation, and operation: a review and survey. Comput Ind Eng 48(3):507–523. https://doi.org/10.1016/j.cie.2003.03.002
Camagu S (2010) Investigating factors that negatively influence lean implementation in the Eastern Cape automotive industry, MBA dissertation, Nelson Mandela Metropolitan University, Port Elizabeth. https://core.ac.uk/download/pdf/145051004.pdf
Chiang CP, Lee SD (2004) Joint determination of machine cells and linear intercell layout. Comput Oper Res 31(10):1603–1619. https://doi.org/10.1016/S0305-0548(03)00110-2
Dangayach GS, Deshmukh SG (2002) Evidence of manufacturing strategies in Indian industry: a survey. Int J Prod Econ 83:279–298
Dixit AR, Gupta M (2013) Current status, enablers & barriers of implementing cellular manufacturing system in Indian industries. Adv Manuf 1:346–356. https://doi.org/10.1007/s40436-013-0048-8
Duttagupta I (2018) https://economictimes.indiatimes.com/industry/miscellaneous/meeruts-sports-goods-industry-turns-its-focus-on-athletics-other-niche-zreas/articleshow/65734957.cms?from=mdr. Accessed 02 Sept 2020
Evans EJ (1991) Strategic flexibility for high technology Maneuvers: a conceptual framework. J Manag Stud 28(1):69–89. https://doi.org/10.1111/j.14676486.1991.tb00271.x
Farooquie JA, Mohapatra AB (2007) Japanese techniques and indian manufacturing: some inferences. In: 2007 IEEE international conference on industrial engineering and engineering management, Singapore, pp 412–417. https://doi.org/10.1109/IEEM.2007.4419222
Forza C, Salvador F (2001) Information flow for high-performance manufacturing. Int J Prod Econ 70(1):21–36
Garg A, Garg A (2015) A Review of Sports Goods clusters by SWOT analysis: Meerut Cluster in particular. Int J Res Comput Appl Manag 5(1):44–49
Gupta A, Kumar S (2016) Flow shop scheduling decisions through Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS). Int J Prod Manag Eng 4(2):43–52. https://doi.org/10.4995/ijpme.2016.4102
Hachicha W, Masmoudi F, Haddar M (2007) An improvement of a cellular manufacturing system design using simulation analysis. Int J Simul Model 6(4):193–205. https://doi.org/10.2507/IJSIMM06(4)1.089
Hao X, Haraguchi H, Dong Y (2013) An experimental study of human factors’ impact in cellular manufacturing and production line system. Information 16(7A):4509–4526
Haq AN, Karthikeyan A, Dinesh M (2003) Scheduling decisions in FMS using a heuristic approach. Int J Adv Manuf Technol 22:374–379. https://doi.org/10.1007/s00170-002-1474-0
Hu GH, Chen YP, Zhou ZD, Fang HC (2007) A genetic algorithm for the inter-cell layout and material handling system design. Int J Adv Manuf Technol 34:1153–1163. https://doi.org/10.1007/s00170-006-0694-0
Iran SA, Cohen PH, Cavalier TM (1992) Design of cellular manufacturing system. Trans ASME 114:352–361
Kumar S, Sharma RK (2014) Cell formation Heuristic procedure considering Production Data. Int J Prod Manag Eng 2(2):75–84. https://doi.org/10.4995/ijpme.2014.2078
Kumar S, Sharma RK (2015) Development of a cell formation heuristic by considering realistic data using principal component analysis and Taguchi’s method. J Ind Eng Int 11(1):87–100. https://doi.org/10.1007/s40092-014-0093-3
Kumar S, Sharma RK (2015) An ISM based framework for structural relationship among various manufacturing flexibility dimensions. Int J Syst Assur Eng Manag 6:511–521. https://doi.org/10.1007/s13198-014-0279-5
Kumar S, Malhotra V, Kumar V (2018) A framework to enhance cellular manufacturing system: a total interpretive structural modeling approach. Int J Process Manag Benchmark 8(4):393–407. https://doi.org/10.1504/IJPMB.2018.095052
Kumar S, Goyal A, Singhal A (2017) Manufacturing flexibility and its effect on System Performance. Jordan J Mech Ind Eng 11(2):105–112
Kumar S, Suhaib M, Asjad M (2020a) Industry 4.0: complex, disruptive, but inevitable, management and production. Eng Rev 11(1):43–51. https://doi.org/10.24425/mper.2020.132942
Kumar S, Suhaib M, Asjad M (2020b) Analyzing the barriers to industry 4.0 through best-worst method. Int J Performab Eng 16(1):27–36. https://doi.org/10.23940/ijpe.20.01.p4.2736
Kumar S, Suhaib M, Asjad M (2020c) Narrowing the barriers to industry 4.0 practices through PCA-Fuzzy AHP-K-means. J Adv Manag Res. https://doi.org/10.1108/JAMR-06-2020-0098
Low C, Yip Y, Wu TH (2006) Modelling and heuristics of FMS scheduling with multiple objectives. Comput Oper Res 33(3):674–694. https://doi.org/10.1016/j.cor.2004.07.013
Majumdar R, Kapur PK, Khatri SK (2016) Assessment of environmental factors affecting software development process using ISM & MICMAC analysis. Int J Syst Assur Eng Manag 7:435–441. https://doi.org/10.1007/s13198-016-0477-4
Mitra J, Shankar VY, Bachchan A (2014) Enhancement in productivity of sports goods industrial cluster in Meerut India. Int Res J Mech Eng 2(6):154–160
Molleman E, Slomp J (1999) Functional flexibility and team performance. Int J Prod Res 37(8):1837–1858. https://doi.org/10.1080/002075499191021
Mukherjee A, GoswamiR, Goyal T, Satija D (2010) Sports retailing in India: opportunities, constraints and way forward, Working Paper No. 250. https://icrier.org/pdf/Working_Paper_250.pdf. Accessed 02 Sept 2020
Raj T, Shankar T, Suhaib M (2008) An ISM approach for modeling the enablers of flexible manufacturing system: the case for India. Int J Prod Res 46(24):6883–6912. https://doi.org/10.1080/00207540701429926
Rajamani D, Singh N, Aneja YP (1996) Design of cellular manufacturing systems. Int J Prod Res 34(7):1917–1928. https://doi.org/10.1080/00207549608905004
Saha R, Grover S (2011) Identifying enablers of E-manufacturing. Int Schol Res Not. https://doi.org/10.5402/2011/193124
Sallez Y, Trentesaux D, Berger T, Tahon C (2004) Product-based and resource-based heterarchical approaches for dynamic FMS scheduling. Comput Ind Eng 6(4):611–623. https://doi.org/10.1016/j.cie.2004.05.003
Scherrer-Rathje M, Boyle TA, Deflorin P (2009) Lean, take two! Reflections from the second attempt at lean implementation. Bus Horizons 52:1–2. https://doi.org/10.1016/j.bushor.2008.08.004
Sharma A, Mavi M (2016) An ISM Approach for modelling the barriers of cellular manufacturing system in indian industries. RIET-IJSET Int J Sci Eng Technol 3(1):38–52. https://doi.org/10.5958/2395-3381.2016.00005.8
Sindhwani R, Malhotra V (2017) Modelling and analysis of agile manufacturing system by ISM and MICMAC analysis. Int J Syst Assur Eng Manag 8:253–263. https://doi.org/10.1007/s13198-016-0426-2
Sundaram RM (1990) Some new approaches for designing cellular manufacturing systems. Math Comput Model 14:1035–1039. https://doi.org/10.1016/08957177(90)90334-J
Tay SI, Lee TC, Hamid NAA, Ahmad ANA (2018) An overview of industry 4.0: definition, components, and government initiatives. J Adv Res Dyn Control Syst 10(14):1379–1387
Tyagi RK (2010) Dynamics of corporates and stakeholders perspective of corporate social responsibility: a case of sports goods industry Meerut. Am J Econ Bus Administ 2(2):169–171
Venkataramanaiah S (2008) Scheduling in cellular manufacturing systems: an heuristic approach. Int J Prod Res 46(2):429–449. https://doi.org/10.1080/00207540601138577
Wemmerloev U, Hyer NL (2007) Cellular manufacturing in the U.S. industry: a survey of users. Int J Prod Res 27(9):1511–1530. https://doi.org/10.1080/00207548908942637
Wemmerlov U, Johnson DJ (1997) Cellular manufacturing at 46 user plants: implementation experiences and performance improvements. Int J Prod Res 35(1):29–49. https://doi.org/10.1080/002075497195966
Wong YC, Wong KY, Ali A (2009) A study on lean manufacturing implementation in the Malaysian electrical and electronics industry. Eur J Sci Res 38(4):521–535
Yauch CA, Steudel HA (2002) Cellular manufacturing for small businesses: key cultural factors that impact the conversion process. J Oper Manag 20(5):593–617. https://doi.org/10.1016/S0272-6963(02)00029-3
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Kumar, S., Gupta, M., Suhaib, M. et al. Current status, enablers and barriers of implementing cellular manufacturing system in sports industry through ISM. Int J Syst Assur Eng Manag 12, 345–360 (2021). https://doi.org/10.1007/s13198-021-01052-8
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DOI: https://doi.org/10.1007/s13198-021-01052-8