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The IMBES model for achieving excellence in manufacturing industry: an interpretive structural modeling approach

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Abstract

In the context of globalization, a strategic integrated manufacturing model is essential to achieve excellence in industry. Most of the manufacturing industries are practicing integrated model by integration of two or three manufacturing concepts. Based on previous studies, there is need of comprehensive integrated manufacturing model for manufacturing industries to attain excellence and maintain its sustainability. In order to fill up this gap, the authors have developed integrated manufacturing business excellence system (IMBES) model. The objective of this paper is to examine the contextual relationships among the critical success factors of the IMBES using interpretive structural modeling and model is validated using structural equation modeling approach. The findings of this study reveal that critical factors namely visionary leadership and management commitment, organization culture and manufacturing strategy are found to be significant in driving the implementation of the IMBES model. Further the model fit was established through SEM approach. It is suggested that IMBES model can reinforce the system strategy, contribute to achieve excellence and maintain its sustainability.

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Source: Paranitharan et al. (2016b)

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References

  • Achanga P, Shehab E, Roy R, Nelder G (2006) Critical success factors for lean implementation within SMEs. J Manuf Technol Manag 17(4):460–471

    Google Scholar 

  • Ahuja I, Khamba J (2008) Strategies and success factors for overcoming challenges in TPM implementation in Indian manufacturing industry. J Qual Maint Eng 14(2):123–147

    Google Scholar 

  • Almeida J, Domingues P, Sampaio P (2014) Different perspectives on management systems integration. Total Qual Manag Bus Excel 25(3–4):338–351

    Google Scholar 

  • Anand G, Ward PT, Tatikonda MV, Schilling DA (2009) Dynamic capabilities through continuous improvement infrastructure. J Oper Manag 27(6):444–461

    Google Scholar 

  • Anvari A, Moghimi R (2012) The strategic approach to exploration review on TQM and lean production. J Contemp Manag 1(1):71–82

    Google Scholar 

  • Asif M, Fisscher OA, Joost de Bruijn E, Pagell M (2010) An examination of strategies employed for the integration of management systems. TQM J 22(6):648–669

    Google Scholar 

  • Asif M, Searcy C, Garvare R, Ahmad N (2011) Including sustainability in business excellence models. Total Qual Manag Bus Excel 22(7):773–786

    Google Scholar 

  • Attri R, Grover S, Dev N, Kumar D (2013) An ISM approach for modelling the enablers in the implementation of total productive maintenance (TPM). Int J Syst Assur Eng Manag 4(4):313–326

    Google Scholar 

  • Bakri AH, Rahim ARA, Yusof NM, Ahmad R (2012) Boosting lean production via TPM. Procedia Soc Behav Sci 65(1):485–491

    Google Scholar 

  • Balbastre-Benavent F, Canet-Giner MT (2011) The strategy formation process in the EFQM excellence model: a critical review and new perspectives. Total Qual Manag Bus Excel 22(7):727–742

    Google Scholar 

  • Beckmerhagen IA, Berg HP, Karapetrovic SV, Willborn WO (2003) Auditing in support of the integration of management systems: a case from the nuclear industry. Manag Audit J 18(6–7):560–568

    Google Scholar 

  • Bellamy LJ, Geyer TAW, Wilkinson J (2008) Development of a functional model which integrates human factors, safety management studies and wider organisational issues. Saf Sci 46:461–492

    Google Scholar 

  • Bozdogan K (2010) Towards an integration of the lean enterprise system, total quality management, six sigma and related enterprise process improvement methods. In: Blockley R, Shyy W (eds) Encyclopedia of aerospace engineering. Wiley, New York, pp 1–23

    Google Scholar 

  • Brundtland G (1987) Our common future: report of the 1987 World Commission on Environment and Development. United Nations, Oslo, pp 1–59

    Google Scholar 

  • Byard P, Thomas A, Thomas G, Barton RA (2010) FIT sigma–an integrated strategy for manufacturing. In: Newport Business School, working paper series, vol. 2, no. 1, pp 19–31

  • Cannella AA, Monroe MJ (1997) Contrasting perspectives on strategic leaders: toward a more realistic view of top managers. J Manag 23(3):213–237

    Google Scholar 

  • Cua K, McKone-Sweet KE (2006) Improving performance through an integrated manufacturing program. Qual Manag J 13(3):45–60

    Google Scholar 

  • Daire H, Joseph C, Michael RM (2008) Structural equation modeling: guidelines for determining model fit. Electron J Bus Res Methods 6(1):53–60

    Google Scholar 

  • Desai DA, Antony J, Patel M (2012) An assessment of the critical success factors for Six Sigma implementation in Indian industries. Int J Product Perform Manag 61(4):426–444

    Google Scholar 

  • Digalwar AK, Jindal A, Sangwan KS (2015) Modeling the performance measures of world class manufacturing using interpreting structural modeling. J Model Manag 10(1):4–22

    Google Scholar 

  • Domingues JPT, Sampaio P, Arezes PM (2015) Analysis of integrated management systems from various perspectives. Total Qual Manag Bus Excel 26(11–12):1311–1334

    Google Scholar 

  • Doolen TL, Hacker ME (2005) A review of lean assessment in organizations: an exploratory study of lean practices by electronics manufacturers. J Manuf Syst 24(1):55–67

    Google Scholar 

  • Duarte S, Cruz-Machado V (2013) Modelling lean and green: a review from business models. Int J Lean Six Sigma 4(3):228–250

    Google Scholar 

  • Dubey R, Ali SS (2014) Identification of flexible manufacturing system dimensions and their interrelationship using total interpretive structural modelling and fuzzy MICMAC analysis. Glob J Flex Syst Manag 15(2):131–143

    Google Scholar 

  • Dubey R, Gunasekaran A, Childe SJ, Wamba SF, Papadopoulos T (2015) Enablers of six sigma: contextual framework and its empirical validation. Total Qual Manag Bus Excel. https://doi.org/10.1080/14783363.2015.1075877

    Article  Google Scholar 

  • Duperrin JC, Godet M (1973) Method of hierarchization of the elements of a system: prospective test of the system of nuclear energy in its societal context. CEA, New Delhi, pp 1–62

    Google Scholar 

  • Elmoselhy SA (2013) Hybrid lean–agile manufacturing system technical facet, in automotive sector. J Manuf Syst 32(4):598–619

    Google Scholar 

  • Elmoselhy S (2015) Hybrid lean-agile manufacturing system strategic facet in automotive sector. SAE Int J Mater Manuf 8(1):153–171

    Google Scholar 

  • Flumerfelt S, Siriban-Manalang AB, Kahlen F-J (2012) Are agile and lean manufacturing systems employing sustainability, complexity and organizational learning? Learn Organ 19(3):238–247

    Google Scholar 

  • Garetti M, Taisch M (2012) Sustainable manufacturing: trends and research challenges. Prod Plan Control 23(2–3):83–104

    Google Scholar 

  • Govindan K, Azevedo SG, Carvalho H, Cruz-Machado V (2015) Lean, green and resilient practices influence on supply chain performance: interpretive structural modeling approach. Int J Environ Sci Technol 12(1):15–34

    Google Scholar 

  • Greenberg A, Quillian L (2012) Managing sustainable production: a framework for integrating sustainability in the manufacturing sector. Environ Qual Manag 21(4):25–40

    Google Scholar 

  • Habidin NF, Yusof SM (2012) Relationship between lean six sigma, environmental management systems, and organizational performance in the Malaysian automotive industry. Int J Automot Technol 13(7):1119–1125

    Google Scholar 

  • Hair JF, Anderson RE, Tatham RL, Black WC (1998) Multivariate data analysis, 5th edn. Prentice Hall, Upper Saddle River, NJ

    Google Scholar 

  • Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL (2006) Multivariate data analysis, 6th edn. Pearson Prentice Hall, Upper Saddle River, NJ

    Google Scholar 

  • Haleem A, Sushil, Qadri MA, Kumar S (2012) Analysis of critical success factors of world-class manufacturing practices: an application of interpretative structural modelling and interpretative ranking process. Prod Plan Control 23(10–11):722–734

    Google Scholar 

  • Ho SK (2010) Integrated lean TQM model for global sustainability and competitiveness. TQM J 22(2):143–158

    Google Scholar 

  • Hooper D, Coughlan J, Mullen M (2008) Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Methods 6(1):53–60

    Google Scholar 

  • Hu LT, Bentler PM (1998) Fit indices in covariance structure modelling: sensitivity to underparameterized model misspecification. Psychol Methods 3(4):424–430

    Google Scholar 

  • Jadhav JR, Mantha SS, Rane SB (2014) Development of framework for sustainable Lean implementation: an ISM approach. J Ind Eng Int 10(3):1–27

    Google Scholar 

  • Jain V, Raj T (2015) Modelling and analysis of FMS flexibility factors by TISM and fuzzy MICMAC. Int J Syst Assur Eng Manag 6(3):350–371

    Google Scholar 

  • Kannan D, Diabat A, Shankar KM (2014) Analyzing the drivers of end-of-life tire management using interpretive structural modeling (ISM). Int J Adv Manuf Technol 72(9–12):1603–1614

    Google Scholar 

  • Kaur M, Singh K, Singh Ahuja I (2012) An evaluation of the synergic implementation of TQM and TPM paradigms on business performance. Int J Product Perform Manag 62(1):66–84

    Google Scholar 

  • Kraus JL, Grosskopf J (2008) Auditing integrated management systems: considerations and practice tips. Environ Qual Manag 18(2):7–16

    Google Scholar 

  • Kuei CH, Lu MH (2013) Integrating quality management principles into sustainability management. Total Qual Manag Bus Excel 24(1–2):62–78

    Google Scholar 

  • Kumar S, Sharma RK (2015) An ISM based framework for structural relationship among various manufacturing flexibility dimensions. Int J Syst Assur Eng Manag 6(4):511–521

    Google Scholar 

  • Kumar M, Antony J, Singh R, Tiwari M, Perry D (2006) Implementing the lean sigma framework in an Indian SME: a case study. Prod Plan Control 17(4):407–423

    Google Scholar 

  • Labodova A (2004) Implementing integrated management systems using risk analysis based approach. J Clean Prod 12(1):571–580

    Google Scholar 

  • Laureani A, Antony J (2015) Leadership characteristics for Lean Six Sigma. Total Qual Manag Bus Excel. https://doi.org/10.1080/14783363.2015.1090291

    Article  Google Scholar 

  • Mahajan R, Agrawal R, Sharma V, Nangia V (2014) Factors affecting quality of management education in India: an interpretive structural modelling approach. Int J Educ Manag 28(4):379–399

    Google Scholar 

  • Malhotra MK, Grover V (1998) An assessment of survey research in POM: from constructs to theory. J Oper Manag 16(4):407–425

    Google Scholar 

  • Mohammed IR, Shankar R, Banwet DK (2008) Creating flex-lean-agile value chain by outsourcing: an ISM based interventional roadmap. Bus Process Manag J 14(3):338–389

    Google Scholar 

  • Nunnally J (1978) Psychometric methods. McGraw-Hill, New York

    Google Scholar 

  • Panahifar F, Byrne PJ, Heavey C (2014) ISM analysis of CPRF implementation barriers. Int J Prod Res 52(18):5255–5272

    Google Scholar 

  • Paranitharan KP, Babu TR (2014) A comprehensive review of integrated manufacturing practice in global contextmanufacturing management perspective. Int Bus Manag 8(6):369–377

    Google Scholar 

  • Paranitharan KP, Babu TR, Pandi AP, Jeyathilagar D (2016a) IMBES model leverages sustainability in manufacturing industry—an integrated theoretical approach. Asian J Res Soc Sci Humanit 6(5):1268–1284

    Google Scholar 

  • Paranitharan KP, Babu TR, Pandi AP, Rajesh R (2016b) A conceptual model for achieving business excellence in Indian manufacturing industry. Int J Enterp Netw Manag 7(4):314–321

    Google Scholar 

  • Pham DT, Thomas AJ (2011) Fit manufacturing: a framework for sustainability. J Manuf Technol Manag 23(1):103–123

    Google Scholar 

  • Pham D, Pham P, Thomas A (2008) Integrated production machines and systems—beyond lean manufacturing. J Manuf Technol Manag 19(6):695–711

    Google Scholar 

  • Qureshi MN, Kumar D, Kumar P (2007) Modeling the logistics outsourcing relationship variables to enhance shippers’ productivity and competitiveness in logistical supply chain. Int J Product Perform Manag 56(8):689–714

    Google Scholar 

  • Raj T, Attri R (2011) Identification and modelling of barriers in the implementation of TQM. Int J Prod Qual Manag 8(2):153–179

    Google Scholar 

  • Raj T, Shankar R, Suhaib M (2008) An ISM approach for modelling the enablers of flexible manufacturing system: the case for India. Int J Prod Res 46(24):6883–6912

    Google Scholar 

  • Rajkovic D, Stepanovic B, Moljevic S, Petrovic I (2011) IMS and interested parties. In: Paper at the 5th IQC—international quality conference, Center for Quality, Faculty of Mechanical Engineering, University of Kragujevac, May 20

  • Rane SB, Kirkire MS (2015) Interpretive structural modeling of risk sources in medical device development process. Int J Syst Assur Eng Manag. https://doi.org/10.1007/s13198-015-0399-6

    Article  Google Scholar 

  • Ravi V, Shankar R (2005) Analysis of interactions among the barriers of reverse logistics. Technol Forecast Soc Change 72(8):1011–1029

    Google Scholar 

  • Rebelo MF, Santos G, Silva R (2014) A generic model for integration of quality, environment and safety management systems. TQM J 26(2):143–159

    Google Scholar 

  • Sadeh E, Arumugam VC, Malarvizhi CA (2013) Integration of EFQM framework and quality information systems. Total Qual Manag Bus Excel 24(1–2):188–209

    Google Scholar 

  • Sage AP (1977) Interpretive structural modelling: methodology for large scale systems. McGraw-Hill, New York, pp 91–164

    Google Scholar 

  • Sahney S, Banwet DK, Karunes S (2010) Quality framework in education through application of interpretive structural modeling: an administrative staff perspective in the Indian context. TQM J 22(1):56–71

    Google Scholar 

  • Salleh NAM, Kasolang S, Jaafar HA (2012a) Review study of developing an integrated TQM with LM framework model in Malaysian automotive industry. TQM J 24(5):399–417

    Google Scholar 

  • Salleh NAM, Kasolang S, Jaffar A (2012b) Simulation of integrated total quality management (TQM) with lean manufacturing (LM) practices in forming process using Delmia Quest. Procedia Eng 41(1):1702–1707

    Google Scholar 

  • Seth D, Tripathi D (2005) Relationship between TQM and TPM implementation factors and business performance of manufacturing industry in Indian context. Int J Qual Reliab Manag 22(3):256–277

    Google Scholar 

  • Shaaban MS, Awni AH (2014) Critical success factors for total productive manufacturing (TPM) deployment at Egyptian FMCG companies. J Manuf Technol Manag 25(3):393–414

    Google Scholar 

  • Sharma S, Chetiya AR (2012) An analysis of critical success factors for Six Sigma implementation. Asian J Qual 13(3):294–308

    Google Scholar 

  • Sharma M, Kodali R (2008) TQM implementation elements for manufacturing excellence. TQM J 20(6):599–621

    Google Scholar 

  • Sharma M, Kodali R (2012) Validity and reliability of proposed framework of manufacturing excellence in the Indian industry. Prod Plan Control 23(5):333–353

    Google Scholar 

  • Sindhwani R, Malhotra V (2016) Modeling and analysis of agile manufacturing system by ISM and MICMAC analysis. Int J Syst Assur Eng Manag. https://doi.org/10.1007/s13198-016-0426-2

    Article  Google Scholar 

  • Singh MD, Kant R (2008) Knowledge management barriers: an interpretive structural modeling approach. Int J Manag Sci Eng Manag 3(2):141–150

    Google Scholar 

  • Singh RK, Garg SK, Deshmukh SG, Kumar M (2007a) Modelling of critical success factors for implementation of AMTs. J Model Manag 2(3):232–250

    Google Scholar 

  • Singh RK, Garg SK, Deshmukh SG (2007b) Interpretive structural modelling of factors for improving competitiveness of SMEs. Int J Product Qual Manag 2(4):423–440

    Google Scholar 

  • Sit WY, Ooi KB, Lin B, Yee-Loong Chong A (2009) TQM and customer satisfaction in Malaysia’s service sector. Ind Manag Data Syst 109(7):957–975

    Google Scholar 

  • Talib F, Rahman Z, Qureshi MN (2011) Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach. Benchmark Int J 18(4):563–587

    Google Scholar 

  • Tarí J, Molina-Azorín JF (2010) Integration of quality management and environmental management systems: similarities and the role of the EFQM model. TQM J 22(6):687–701

    Google Scholar 

  • Thakkar J, Deshmukh SG, Gupta AD, Shankar R (2005) Selection of third-party logistics (3PL): a hybrid approach using interpretive structural modeling (ISM) and analytic network process (ANP). Supply Chain Forum Int J 6(1):32–46

    Google Scholar 

  • Thakkar J, Deshmukh SG, Gupta AD, Shankar R (2007) Development of a balanced scorecard: an integrated approach of interpretive structural modeling (ISM) and analytic network process (ANP). Int J Product Perform Manag 56(1):25–59

    Google Scholar 

  • Thirupathi RM, Vinodh S (2016) Application of interpretive structural modelling and structural equation modelling for analysis of sustainable manufacturing factors in Indian automotive component sector. Int J Prod Res 54(22):6661–6682

    Google Scholar 

  • Thomas AJ, Barton R, Byard P, Thomas G (2008) Fit sigma: an integrated strategy for manufacturing sustainability. In: International conference on intelligent production machines and systems. Cardiff University: Logistics Systems Dynamics Group, Cardiff University, pp 19–31

  • Ustyugová T, Noskievičová D (2013) Integration of lean and agile manufacturing based on principles from wikinomics. Qual Innov Prosper 17(1):48–56

    Google Scholar 

  • Vinodh S, Vimal K (2012) Thirty criteria based leanness assessment using fuzzy logic approach. Int J Adv Manuf Technol 60(9–12):1185–1195

    Google Scholar 

  • Vinodh S, Ramiya RA, Gautham SG (2011) Application of fuzzy analytic network process for supplier selection in a manufacturing organisation. Expert Syst Appl 38(1):272–280

    Google Scholar 

  • Vinodh S, Aravindraj S, Pushkar B, Kishore S (2012) Estimation of reliability and validity of agility constructs using structural equation modelling. Int J Prod Res 50(23):6737–6745

    Google Scholar 

  • Warfield JW (1974) Developing interconnected matrices in structural modelling. IEEE Transcr Syst Men Cybern 4(1):81–87

    MathSciNet  Google Scholar 

  • Yin SH, Wang CC, Teng LY, Hsing YM (2012) Application of DEMATEL, ISM, and ANP for key success factor (KSF) complexity analysis in RD alliance. Sci Res Essays 7(19):1872–1890

    Google Scholar 

  • Zeng SX, Shi JJ, Lou GX (2007) A synergetic model for implementing an integrated management system: an empirical study in China. J Clean Prod 15(1):1760–1767

    Google Scholar 

  • Zeng SX, Xie XM, Tam CM, Shen LY (2011) An empirical examination of benefits from implementing integrated management systems (IMS). Total Qual Manag Bus Excel 22(2):173–186

    Google Scholar 

  • Zhang L, Luo Y, Tao F, Li BH, Ren L, Zhang X, Liu Y (2014) Cloud manufacturing: a new manufacturing paradigm. Enterp Inf Syst 8(2):167–187

    Google Scholar 

  • Zutshi A, Sohal AS (2005) Integrated management system: the experiences of three Australian organisations. J Manuf Technol Manag 16(2):211–232

    Google Scholar 

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Acknowledgements

The authors would like to thank the Editor in chief and anonymous reviewer for their constructive and helpful comments which helped to improve the presentation of the paper considerably and also extend our sincere thanks to the managerial executives of Indian manufacturing industries for sharing their views.

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  1. Department of Industrial Engineering, College of Engineering Guindy Campus, Anna University, Chennai, 600 025, India

    Paranitharan Kannusamy Panneer Selvam & Ramesh Babu Thangavelu

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  1. Paranitharan Kannusamy Panneer Selvam
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Kannusamy Panneer Selvam, P., Thangavelu, R. The IMBES model for achieving excellence in manufacturing industry: an interpretive structural modeling approach. Int J Syst Assur Eng Manag 10, 602–622 (2019). https://doi.org/10.1007/s13198-019-00788-8

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