An ISM approach for modelling the enablers in the implementation of Total Productive Maintenance (TPM) | International Journal of System Assurance Engineering and Management Skip to main content
Springer Nature Link
Log in

An ISM approach for modelling the enablers in the implementation of Total Productive Maintenance (TPM)

  • Original Article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

Total Productive maintenance (TPM) is increasingly implemented by many organizations to improve their equipment efficiency and to obtain the competitive advantage in the global market in terms of cost and quality. But, implementation of TPM is not an easy task. There are certain enablers, which help in the implementation of TPM. The utmost need is to analyse the behaviour of these enablers for their effective utilization in the implementation of TPM. The main objective of this paper is to understand the mutual interaction of these enablers and identify the ‘driving enablers’ (i.e. which influence the other enablers) and the ‘dependent enablers’ (i.e. which are influenced by others). In the present work, these enablers have been identified through the literature, their ranking is done by a questionnaire-based survey and interpretive structural modelling (ISM) approach has been utilized in analysing their mutual interaction. An ISM model has been prepared to identify some key enablers and their managerial implications in the implementation of TPM.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Agarwal A, Shankar R, Tiwari MK (2006) Modeling agility of supply chain. Ind Mark Manag 36:443–457

    Article  Google Scholar 

  • Agyris C (1998) Empowerment: the emperor’s new clothes. Harvard Bus Rev 76(3):98–105

    Google Scholar 

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

    Article  Google Scholar 

  • Ahuja IPS, Khamba JS (2008b) Total productive maintenance: literature review and directions. Int J Qual Reliab Manag 25(7):709–756

    Article  Google Scholar 

  • Badiru AB, Schlegel RE (1994) Project management in computer-integrated manufacturing implementation. In: Karwowski W, Salvendy G (eds) Organization and management of advanced manufacturing. Wiley, New York, pp 255–279

    Google Scholar 

  • Bamber CJ, Sharp JM, Hides M (1999) Factors affecting successful implementation of total productive maintenance: a UK manufacturing case study perspective. J Qual Maint Eng 5(3):162–181

    Article  Google Scholar 

  • Banwet DK, Arora R (1999) Enablers and inhibitors of e-commerce implementation in India-an interpretive structural modelling (ISM) approach. In: Kanda A et al (eds) Operations management for global economy challenges and prospects. Phoenix, New Delhi, pp 332–341

    Google Scholar 

  • Blanchard BS (1997) An enhanced approach for implementing total productive maintenance in the manufacturing environment. J Qual Maint Eng 3(2):69–80

    Article  MathSciNet  Google Scholar 

  • Bolaños R, Fontela E, Nenclares A, Paster P (2005) Using interpretive structural modeling in strategic decision making groups. Manag Decis 43(6):877–895

    Article  Google Scholar 

  • Chan FTS, Lau HCW, Ip RWL, Chan HK, Kong S (2005) Implementation of total productive maintenance: a case study. Int J Prod Econ 95:71–94

    Article  Google Scholar 

  • Chen F (1997) Issue in the continuous improvement process for preventive maintenance: observations from Honda, Nippondenso and Toyota. Prod Inventory Manag J 38(4):13–16

    Google Scholar 

  • Chidambaranathan S, Muralidharan C, Deshmukh SG (2009) Analyzing the interaction of critical factors of supplier development using Interpretive Structural Modeling: an empirical study. Int J Adv Manuf Technol 43:1081–1093

    Article  Google Scholar 

  • Coetzee JL (1999) A holistic approach to the maintenance problem. J Qual Maint Eng 5(3):276–280

    Article  Google Scholar 

  • Dal B, Tugwell P, Greatbanks R (2000) Overall equipment effectiveness as a measure for operational improvement. Int J Oper Prod Manag 20(12):1488–1502

    Article  Google Scholar 

  • Davis R, Willmott P (1999) Total productive maintenance. Alden Press, Oxford

    Google Scholar 

  • Eti MC, Ogaji SOT, Probert SD (2004) Implementing total productive maintenance in Nigerian manufacturing firms. App Energy 79:385–401

    Article  Google Scholar 

  • Faisal MN, Banwat DK, Shankar R (2006) Supply chain risk mitigation: modeling the enablers. Buss Process Manag J 12(4):532–552

    Google Scholar 

  • Faisal MN, Banwat DK, Shankar R (2007a) Supply chain agility: analysing the enablers. Int J Agile Syst Manag 2(1):76–91

    Google Scholar 

  • Faisal MN, Banwat DK, Shankar R (2007b) Information risks management in supply chain: an assessment and mitigation framework. J Enterp Inf Manag 20(6):677–699

    Google Scholar 

  • Farris DR, Sage AP (1974) On the use of interpretive structural modeling for worth assessment. Comp Electr Eng 2:149–174

    Article  Google Scholar 

  • Georgakopoulos A (2009) Teacher effectiveness examined as a system: interpretive modelling and facilitation sessions with U.S. and Japanese students. Int Edu Stud 2(3):60–76

    MathSciNet  Google Scholar 

  • Jeszenka RJ (1993) Breaking through the resistance: achieving TQM in maintenance. Plant Eng 47:132–133

    Google Scholar 

  • Jharkharia S, Shankar R (2004) IT-enablement of supply chains: modelling the enablers. Int J Productivity Perform Manag 53(8):700–712

    Article  Google Scholar 

  • Jharkharia S, Shankar R (2005) IT-enablement of supply chains: understanding the barriers. J Enterp Inform Manag 18(1):11–27

    Article  Google Scholar 

  • Jonsson P, Lesshammar M (1999) Evaluation and improvement of manufacturing performance measurement systems: the role of OEE. Int J Oper Prod Manag 19(1):55–78

    Article  Google Scholar 

  • Lawrence JJ (1999) Use mathematical modelling to give your TPM implementation effort an extra boost. J Qual Maint Eng 5(1):62–69

    Article  Google Scholar 

  • Li WL, Humphreys P, Chan LY, Kumaraswamy M (2003) Predicting purchasing performance: the role of supplier development programs. J Mater Process Technol 138(1–3):243–249

    Google Scholar 

  • Maggard BN, Rhyne DM (1992) Total productive maintenance: a timely integration of production and maintenance. Prod Inventory Manag J 33(4):6–10

    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

    Article  Google Scholar 

  • Mandal A, Deshmukh SG (1994) Vendor selection using interpretive structural modeling (ISM). Int J Oper Prod Manag 14(6):52–59

    Article  Google Scholar 

  • Moore R (1997) Combining TPM and reliability-focused maintenance. Plant Eng 51(6):88–90

    Google Scholar 

  • Mora E (2002) The right ingredients for a successful TPM or lean implementation. Available at: www.tpmonline.com

  • Nakajima S (1988) Total productive maintenance. Productivity Press, London

    Google Scholar 

  • Nakajima S (1989) TPM development program: implementing total productive maintenance. Productivity Press, Cambridge

    Google Scholar 

  • Paneerselvam R (2010) Production and operations management, PHI learning Private limited

  • Park KS, Han SW (2001) TPM-total productive maintenance: impact on competitiveness and a framework for successful implementation. Hum Factor Ergonomics Manuf 11(4):321–338

    Article  Google Scholar 

  • Parmod VR, Banwet DK (2010) ISM for the inhibitors of service supply chain: a case study in a safety health environment and risk consultancy health centre. Int J Logis Eco Glob 2(2):151–175

    Article  Google Scholar 

  • Patterson JW, Kennedy WJ, Fredendall LD (1995) Total productive maintenance is not for this company. Prod Inventory Manag J 36(2):61–64

    Google Scholar 

  • Patterson JW, Fredendall LD, Kennedy WJ, McGee A (1996) Adapting total productive maintenance to Asten, Inc. Prod Inventory Manag J 37(4):32–36

    Google Scholar 

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

    Article  Google Scholar 

  • Raj T, Attri R (2011) Identification and modelling of barriers in the implementation of TQM. Int J Prod Qual Manag 28(2):153–179

    Google Scholar 

  • Raj T, Shankar R, Suhaib M (2007) An ISM approach for modeling the enablers of flexible manufacturing system: the case for India. Int J Prod Res 1–30

  • Rajesh KS, Suresh KG, Deshmukh SG (2007) Interpretive structural modelling of factors for improving competitiveness of SMEs. Int J Prod Qual Manag 2(4):423–440

    Google Scholar 

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

    Article  Google Scholar 

  • Ravi V, Shankar R, Tiwari MK (2005) Productivity improvement of a computer hardware supply chain. Int J Prod Perform Meas 54(4):239–255

    Article  Google Scholar 

  • Sage AP (1977) Interpretive structural modeling: methodology for large scale systems. McGraw-Hill, New York

    Google Scholar 

  • Saxena JP, Sushil VP, Vrat P (1990) The impact of indirect relationships in classification of variables: a MICMAC analysis for energy conservation. Syst Res 7(4):245–253

    Article  Google Scholar 

  • Saxena JP, Sushil, Vrat P (1992) Scenario building: a critical study of energy conservation in the Indian cement industry. Technol Forecast Soc Change 41(2):121–146

    Article  Google Scholar 

  • Schumacker RE, Lomax RG (1996) A beginner’s guide to structural equation modelling. Lawrence Erlbaum Associates, Pittsburgh

    Google Scholar 

  • Sharma HD, Gupta AD, Sushil (1995) The objectives of waste management in India: a future inquiry. Technol Forecast Soc Change 48:285–309

    Article  Google Scholar 

  • Sharma RK, Kumar D, Kumar P (2005) FLM to select suitable maintenance strategy in process industries using MISO model. J Qual Maint Eng 11(4):359–374

    Article  MathSciNet  Google Scholar 

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

    Google Scholar 

  • Singh MD, Shankar R, Narain R, Agarwal A (2003) An interpretive structural modeling of knowledge management in engineering industries. J Adv Manag Res 1(1):28–40

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Swanson L (1997) An empirical study of the relationship between production technology and maintenance management. Int J Prod Econ 53(2):191–207

    Article  Google Scholar 

  • Thakkar J, Deshmukh SG, Gupta AD, Shankar R (2007) Development of score card: an integrated approach of ISM and ANP. Int J Prod Perform Manag 56(1):25–59

    Article  Google Scholar 

  • Thakkar J, Kanda A, Deshmukh SG (2008) Evaluation of buyer-supplier relationships using an integrated mathematical approach of interpretive structural modeling (ISM) and graph theoretic approach. J Manuf Technol Manag 19(1):92–124

    Article  Google Scholar 

  • Thiagarajan T, Zairi M (1997) A review of total quality management in practice: understanding the fundamentals through examples of best practice applications: Part 1. TQM Mag 9(4):270–286

    Article  Google Scholar 

  • Tsang AHC, Chan PK (2000) TPM implementation in China: a case study. Int J Qual Reliab Manag 17(2):144–157

    Article  Google Scholar 

  • Tsang AHC, Jardine AKS, Cambell JD, Picknell JV (2000) Reliability-centred maintenance: a key to maintenance excellence. Hong Kong: City University of Hong Kong (internet publication)

  • Tsuchiya S (1992) Quality maintenance: zero defects through equipment management. Productivity Press, Oregon

    Google Scholar 

  • Turbide DA (1995) Japan’s new advantage: total productive maintenance. Qual Prog 28(3):121–123

    Google Scholar 

  • Venkatesh V (2007) An introduction to Total productive maintenance (TPM). Available at: www.plant-maintenance.com

  • Warfield JW (1974) Developing interconnected matrices in structural modelling. IEEE Transac Syst Men Cyber 4(1):51–81

    Google Scholar 

  • Wisner JD (2003) A structural equation model of supply chain management strategies and firm performance. J Bus Logist 24(1):1–26

    Article  Google Scholar 

  • Yu J, Cooper H (1983) A quantitative review of research design effects on response rates to questionnaires. J Mark Res 36:36–44

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad, 121006, India

    Rajesh Attri, Sandeep Grover & Nikhil Dev

  2. Department of Mechanical Engineering, Advanced Institute of Technology and Management, Palwal, 121105, India

    Deepak Kumar

Authors
  1. Rajesh Attri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sandeep Grover
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nikhil Dev
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Deepak Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rajesh Attri.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Attri, R., Grover, S., Dev, N. et al. An ISM approach for modelling the enablers in the implementation of Total Productive Maintenance (TPM). Int J Syst Assur Eng Manag 4, 313–326 (2013). https://doi.org/10.1007/s13198-012-0088-7

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-012-0088-7

Keywords

Search

Navigation