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The International Journal of Advanced Manufacturing Technology
Published in: The International Journal of Advanced Manufacturing Technology 9-10/2020

18-06-2020 | ORIGINAL ARTICLE

Implementation barriers to lean-agile manufacturing systems for original equipment manufacturers: an integrated decision-making approach

Authors: Balkrishna E. Narkhede, Rakesh D. Raut, Matthew Roy, Vinay Surendra Yadav, Bhaskar Gardas

Published in: The International Journal of Advanced Manufacturing Technology | Issue 9-10/2020

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Abstract

The purpose of this research is to determine barriers to the implementation of lean-agile manufacturing systems in the context of Original Equipment Manufacturers (OEMs). Through literature review and expert opinions, 12 critical barriers were identified. Then, a decision-making tool, namely “Interpretive Structural Modeling (ISM),” was used for modeling barriers and identifying the critical barriers through their driving power. Further, the “Decision Making Trial and Evaluation Laboratory (DEMATEL)” was applied to explore the cause-effect relationship between the barriers. Two barriers, namely “Ineffective organizational management” and “Lack of experience with technology adoption,” were identified as having significant, influential power. Organizations should focus on these barriers and need to develop strategies to overcome them for the successful implementation of lean-agile manufacturing systems.
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Literature
1.
Abdulrahman MD, Gunasekaran A, Subramanian N (2014) Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors. Int J Prod Econ 147:460–471
2.
Abolhassani A, Layfield K, Gopalakrishnan B (2016) Lean and US manufacturing industry: popularity of practices and implementation barriers. Int J Product Perform Manag 65(7):875–897
3.
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
4.
Albliwi S, Antony J, Abdul Halim Lim S, van der Wiele T (2014) Critical failure factors of Lean Six Sigma: a systematic literature review. Int J Qual Reliabil Manag 31(9):1012–1030
5.
Antony J, Banuelas R (2002) Key ingredients for the effective implementation of Six Sigma program. Meas Bus Excell 6(4):20–27
6.
Attri R, Singh B, Mehra S (2017) Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach. Benchmarking: Int J 24(7):1834–1853
7.
Balachandra P, Nathan HSK, Reddy BS (2010) Commercialization of sustainable energy technologies. Renew Energy 35(8):1842–1851
8.
Bortolotti T, Boscari S, Danese P (2015) Successful lean implementation: organizational culture and soft lean practices. Int J Prod Econ 160:182–201
9.
Brun A (2011) Critical success factors of six sigma implementations in Italian companies. Int J Prod Econ 131(1):158–164
10.
Caldera HTS, Desha C, Dawes L (2017) Exploring the role of lean thinking in sustainable business practice: a systematic literature review. J Clean Prod 167:1546–1565
11.
Chang AY, Hu KJ, Hong YL (2013) An ISM-ANP approach to identifying key agile factors in launching a new product into mass production. Int J Prod Res 51(2):582–597
12.
Cherrafi A, Elfezazi S, Chiarini A, Mokhlis A, Benhida K (2016) The integration of lean manufacturing, six sigma and sustainability: a literature review and future research directions for developing a specific model. J Clean Prod 139:828–846
13.
Das K (2018) Integrating lean systems in the design of a sustainable supply chain model. Int J Prod Econ 198:177–190
14.
Digalwar A, Raut RD, Yadav VS, Narkhede B, Gardas BB, Gotmare A (2020) Evaluation of critical constructs for measurement of sustainable supply chain practices in lean-agile firms of Indian origin: a hybrid ISM-ANP approach. Bus Strateg Environ 29(3):1575–1596
15.
Dubey R, Gunasekaran A (2015) Agile manufacturing: framework and its empirical validation. Int J Adv Manuf Technol 76(9-12):2147–2157
16.
Engert S, Baumgartner RJ (2016) Corporate sustainability strategy–bridging the gap between formulation and implementation. J Clean Prod 113:822–834
17.
18.
Farahani RZ, Rezapour S, Drezner T, Fallah S (2014) Competitive supply chain network design: an overview of classifications, models, solution techniques and applications. Omega 45:92–118
19.
Gandhi NS, Thanki SJ, Thakkar JJ (2018) Ranking of drivers for integrated lean-green manufacturing for Indian manufacturing SMEs. J Clean Prod 171:675–689
20.
Grant RM (1996) Prospering in dynamically-competitive environments: organizational capability as knowledge integration. Organ Sci 7(4):375–387
21.
Hasan MA, Shankar R, Sarkis J (2007) A study of barriers to agile manufacturing. Int J Agile Syst Manag 2(1):1–22
22.
Jadhav JR, Mantha SS, Rane BS (2014) Exploring barriers in lean implementation. Int J Lean Six Sigma 5(2):122–148
23.
Jadhav JR, Mantha SS, Rane SB (2015) Analysis of interactions among the barriers to JIT production: interpretive structural modelling approach. J Ind Eng Int 11(3):331–352
24.
Kumar A (2014) A qualitative study on the barriers of lean manufacturing implementation: an Indian context (Delhi NCR Region). Int J Eng Sci 3(4):21–28
25.
Kumar R, Kumar V (2014) Barriers in implementation of lean manufacturing system in Indian industry: a survey. Int J Latest Trends Eng Technol 4(2):243–251
26.
Leon HCM, Calvo-Amodio J (2017) Towards lean for sustainability: understanding the interrelationships between lean and sustainability from a systems thinking perspective. J Clean Prod 142:4384–4402
27.
Long TB, Blok V, Coninx I (2016) Barriers to the adoption and diffusion of technological innovations for climate-smart agriculture in Europe: evidence from the Netherlands, France, Switzerland and Italy. J Clean Prod 112:9–21
28.
Luthra S, Kumar V, Kumar S, Haleem A (2011) Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: an Indian perspective. J Ind Eng Manag (JIEM) 4(2):231–257
29.
Luthra S, Govindan K, Kharb RK, Mangla SK (2016) Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: an Indian perspective. Renew Sust Energ Rev 63:379–397
30.
Mangla SK, Govindan K, Luthra S (2017) Prioritizing the barriers to achieve sustainable consumption and production trends in supply chains using fuzzy analytical hierarchy process. J Clean Prod 151:509–525
31.
Martinez-Jurado PJ, Moyano-Fuentes J (2014) Key determinants of lean production adoption: evidence from the aerospace sector. Prod Plan Control 25(4):332–345
32.
Mathiyazhagan K, Govindan K, NoorulHaq A, Geng Y (2013) An ISM approach for the barrier analysis in implementing green supply chain management. J Clean Prod 47:283–297
33.
Moori RG, Pescarmona A, Kimura H (2013) Lean manufacturing and business performance in Brazilian firms. J Operations Supply Chain Manag 6(1):91–105
34.
Mudgal RK, Shankar R, Talib P, Raj T (2010) Modelling the barriers of green supply chain practices: an Indian perspective. International Journal of Logistics Systems and Management 7(1):81–107
35.
Nordin N, Deros BM, Wahab DA (2010) A survey on lean manufacturing implementation in Malaysian automotive industry. Int J Innov, Manag Technol 1(4):374
36.
Paranitharan KP, Jeyathilagar D (2017) An empirical validation of integrated manufacturing business excellence model. Int J Adv Manuf Technol 92(5-8):2569–2591
37.
Pearce A, Pons D, Neitzert T (2018) Implementing lean—outcomes from SME case studies. Operations Res Perspect 5:94–104
38.
Pereira CM, Anholon R, Batocchio A (2017) Obstacles and difficulties implementing the lean philosophy in Brazilian enterprises. Braz J Operations Prod Manag 14(2):218–227
39.
40.
Potdar PK, Routroy S, Behera A (2017b) Analyzing the agile manufacturing barriers using fuzzy DEMATEL. Benchmarking: Int J 24(7):1912–1936
41.
Raj T, Attri R (2010) Quantifying barriers to implementing total quality management (TQM). Eur J Ind Eng 4(3):308–335
42.
Raut RD, Narkhede B, Gardas BB (2017) To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach. Renew Sust Energ Rev 68:33–47
43.
Raut R, Gardas BB (2018) Sustainable logistics barriers of fruits and vegetables: an interpretive structural modeling approach. Benchmarking: Int J 25(8):2589–2610
44.
Ravi V, Shankar R (2005) Analysis of interactions among the barriers of reverse logistics. Technol Forecast Soc Chang 72(8):1011–1029
45.
Sabri EH, Shaikh SN (2010) Lean and agile value chain management: a guide to the next level of improvement. J. Ross Publishing
46.
Salem R, Musharavati F, Hamouda AM, Al-Khalifa KN (2016) An empirical study on lean awareness and potential for lean implementations in Qatar industries. Int J Adv Manuf Technol 82(9-12):1607–1625
47.
Scherrer-Rathje M, Boyle TA, Deflorin P (2009) Lean, take two! Reflections from the second attempt at lean implementation. Business Horizons 52(1):79–88
48.
49.
Singh A, Singh DM (2016) Major obstacles and relationship among barriers in implementing lean manufacturing in Indian industries. IOSR J Mech Civ Eng 13(04):80–86
50.
Singh MD, Kant R (2008) Knowledge management barriers: an interpretive structural modeling approach. International Journal of Management Science and Engineering Management 3(2):141–150
51.
Singh PL, Sindhwani R, Dua NK, Jamwal A, Aggarwal A, Iqbal A, Gautam N (2019) Evaluation of common barriers to the combined lean-green-agile manufacturing system by two-way assessment method. In: Advances in Industrial and Production Engineering. Springer, Singapore, pp 653–672
52.
Sharma BP, Jain A, Ahuja H (2017) Modelling of agile manufacturing barriers in the Indian engineering industries: an interpretive structural modeling approach. In: 2017 International Conference on Advances in Mechanical, Industrial, Automation and Management Systems (AMIAMS). IEEE, pp 1–7
53.
Sureshchandar GS, Rajendran C, Anantharaman RN (2001) A holistic model for total quality service. Int J Serv Ind Manag 12(4):378–412
54.
Talib F, Rahman Z, Qureshi MN (2011) Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling approach. Benchmarking: Int J 18(4):563–587
55.
Tiwari RK, Tiwari JK (2018) Prioritization of barriers to lean implementation in indian automotive small & medium sized enterprises Management and Production Engineering Review, 10.
56.
Vázquez-Bustelo D, Avella L, Fernández E (2007) Agility drivers, enablers and outcomes: empirical test of an integrated agile manufacturing model. Int J Oper Prod Manag 27(12):1303–1332
57.
Vilkas M, Rauleckas R, Šeinauskienė B, Rutelionė A (2019) Lean, agile and service-oriented performers: templates of organising in a global production field. Total Quality Management & Business Excellence:1–25
58.
Vinodh S, Kumar VU, Girubha RJ (2012) Thirty-criteria-based agility assessment: a case study in an Indian pump manufacturing organisation. Int J Adv Manuf Technol 63(9-12):915–929
59.
Warwood SJ, Knowles G (2004) An investigation into Japanese 5-S practice in UK industry. TQM Mag 16(5):347–353
60.
WEF (2019) Shaping the sustainability of the production systems: Fourth Industrial Technologies for Competitiveness and Sustainable Growth. World Economic Forum:1–11
61.
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
62.
Yadav G, Desai TN (2016) Lean six sigma: a categorized review of the literature. Int J Lean Six Sigma 7(1):2–24
63.
Zahraee SM (2016) A survey on lean manufacturing implementation in a selected manufacturing industry in Iran. Int J Lean Six Sigma 7(2):136–148
Metadata
Title
Implementation barriers to lean-agile manufacturing systems for original equipment manufacturers: an integrated decision-making approach
Authors
Balkrishna E. Narkhede
Rakesh D. Raut
Matthew Roy
Vinay Surendra Yadav
Bhaskar Gardas
Publication date
18-06-2020
Publisher
Springer London
Published in
The International Journal of Advanced Manufacturing Technology / Issue 9-10/2020
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-020-05486-5

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