Skip to main content

Advertisement

Log in

Analyzing the productivity of maintenance systems using system dynamics modeling method

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

Abstract

Achievement of industries in production and offering products depends on different factors like having an appropriate maintenance system. This issue should be reached through the most appropriate and practical methods. In this study, based on how the external parameters would influence the productivity of a maintenance system the researcher aims at designing a dynamic system model to analyze the productivity of a maintenance system using acquired information from a car device company by determination of the percentage of parameters and indexes and their influence on maintenance system productivity. The proposed model is simulated for a system with parameters of precise value according to fixed and variable maintenance policies which the results are represented. The results of different policies described by using computerized simulation of the prepared model on VENSIM software. The time horizon of the systems can be considered from several years to several decades. This research considered 12 weeks for analyzing the system. This time was specified by consultation with experts in the first session of modeling. In such environment a model of productivity evaluation and operation of maintenance seems required that in this research by analyzing influential factors on maintenance system productivity of a factory and by means of acquired samples, it was possible to measure the ratio of maintenance system operation condition according to the posed indexes and their influences on productivity operation. This situation shows that to the extent that positive indexes in the diagram are higher to the same extent maintenance system productivity of company increases.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Ahmadvand AM et al (2014) Analysis of Tehran construction and demolition waste management with system dynamics approach. Asian J Res Bus Econ Manag 4(8):234–242

    Google Scholar 

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

    Article  Google Scholar 

  • Ahuja IS, Khamba JS, Choudhary R (2006) Improved organizational behavior through strategic total productive maintenance implementation. In: ASME 2006 international mechanical engineering congress and exposition. Chicago, Illinois

  • Akbarpour H et al. (2014) Investigation on short-term inflation rate in iran using artificial neural network. In: First national conference on development in monetary and banking management. Tehran, Iran

  • Altmannshoffer R (n.d.) (2006) Industrielles FM. Der facility manager, April Issue, pp 12–13

  • Bastan M et al. (2016) Sustainable development analysis of agriculture using system dynamics approach. In: The 34th international conference of the system dynamics society. Delft, Netherlands

  • Bastan M, Akbarpour S, Ahmadvand AM (2016) Business dynamics of Iranian commercial banks. In: The 34th international conference of the system dynamics society. Delft, Netherlands

  • Bastan M, Akbarpour S, Delshad Sisi S (2016b) Organizational demographic management: a system dynamics model. In: 34th International conference of the system dynamics society. Delft, Netherlands

  • Bastan M, Abdollahi F, Shokoufi K (2013a) Analysis of Iran’s dust emission with system dynamics methodology. Tech J Eng Appl Sci 3(24):3515–3524

    Google Scholar 

  • Bastan M, Mosaed M, Kashef F (2013) Dynamic analysis of housing cost changes in Tehran. In: 9th international conference on industrial engineering (IIEC2013). Tehran, Iran

  • Bengtsson M (2004) Condition based maintenance in technical systems. Ann Oper Res 25(7):45–53

    Google Scholar 

  • Brah SA, Chong W-K (2004) Relationship between total productive maintenance and performance. Int J Prod Res 42(12):2383–2401

    Article  MATH  Google Scholar 

  • Burns J (1995) Component strategy for the formulation of system dynamics models. Comput Ind 56:364–372

    Google Scholar 

  • Chuchuen C (2016) The perception of mobile banking adoption: the study of behavioral, security, and trust in Thailand. Int J Soc Sci Hum 6(7):547

    Google Scholar 

  • Coyle RG, Gardiner PA (1996) A system dynamic model of submarine operation and maintenance schedules. J Oper Res Soc 42(6):453–463

    Article  Google Scholar 

  • Doyle JK, Ford DN (1998) Mental models concepts for system dynamics research. Syst Dyn Rev 14(1):3–29

    Article  Google Scholar 

  • Drew DR (1989) Applied systems engineering. In: 2nd International conference on engineering management. Toronto, Canada

  • Duffuaa SO, Al-Sultan KS (1997) Mathematical programming approaches for the management of maintenance planning and scheduling. J Qual Maint Eng 3(3):163–176

    Article  Google Scholar 

  • Faghieh N (2004) Dynamic systems. Samt Publications, Tehran

    Google Scholar 

  • Gallistel C (2002) The learning curve: implications of a quantitative analysis. Columbia University, Ph.DThesis

    Google Scholar 

  • George ML (2002) Lean Six Sigma: combining six sigma quality with lean speed, 1st edn. McGraw-Hill Education, New York City

    Google Scholar 

  • Gotoh F (1991) Equipment planning for TPM: maintenance prevention design, 1st edn. Productivity Press, Boca Raton

    Google Scholar 

  • Hamgren M (2000) Maintenance related losses. Lulea University of Technology, Lulea

    Google Scholar 

  • Hanafizadeh P, Behboudi M, Koshksaray AA, Tabar MJS (2014) Mobile banking adoption by Iranian bank clients. Telemat Inform 31(1):62–78

    Article  Google Scholar 

  • Harvey J (2004) A system dynamics model, Working paper. Texas Christian University

  • Henrik Thum J (2004) Modeling modern maintenance a system dynamics model analyzing the dynamic implication of implementing total productive maintenance, Working paper. Mannheim University

  • Hipkin IB, De Cock C (2000) TQM and BPR: lessons for maintenance management. Omega 28(3):277–292

    Article  Google Scholar 

  • Honkaen T (2004) Modeling industrial maintenance system and the effects of automatic condition monitoring, Working paper. Helsinki University of Technology

  • The Maintenance Excellent Institute (2002) Maximizing Maintenance operations for profit optimization, Report No. 23

  • Jokinen T, Ylén P, Pyötsiä J (2011) Dynamic model for estimating the added value of maintenance services. In: 29th international conference of the system dynamics society. Washington, DC

  • Kasiralvalad E et al. (2016) Simulation analysis of brain drain in Iran using system dynamics approach. In: The 34th international conference of the system dynamics society. Delft, The Netherlands

  • Kivijarvi H, Sorismaa M (1995) Terminal conditions in system dynamics. Syst Dyn Rev 11(2):95–112

    Article  Google Scholar 

  • Kumar L, Kumar M, Rath SK (2017) Maintainability prediction of web service using support vector machine with various kernel methods. Int J Syst Assur Eng Manag 8(2):205–222

    Article  Google Scholar 

  • Lind Gvist BH, Stove B (2004) Modeling of dependence between critical failure and preventive maintenance. J Qual Maint 2:45–59

    Google Scholar 

  • Liyanage JP, Kumar U (2003) Towards a value-based view on operations and maintenance performance management. J Qual Maint Eng 9(4):333–350

    Article  Google Scholar 

  • Löfsten H (2000) Measuring maintenance performance–in search for a maintenance productivity index. Int J Prod Econ 63(1):47–58

    Article  Google Scholar 

  • Loganathan MK, Gandhi OP (2016) Maintenance cost minimization of manufacturing systems using PSO under reliability constraint. Int J Syst Assur Eng Manag 7(1):47–61

    Article  Google Scholar 

  • Madachy R (2004) System dynamics modeling of an inspection based process. Novel Res 147:145–152

    Google Scholar 

  • Malmir B, Spicar R. (2014). A system dynamics approach to housing prices: a case study of the Tehran real estate market. In: 24th IBIMA conference. Milan, Italy

  • Matsumoto H (2000) System dynamic model for life cycle assessmental of residential buildings. Manag Sci 47:123–132

    Google Scholar 

  • Miyake DI (1999) Matching the promotion of total quality control and total productive maintenance: an emerging pattern for the nurturing of well-balanced manufacturers. Total Qual Manag 10(2):243–269

    Article  Google Scholar 

  • Mohammadi H (2015) A study of mobile banking loyalty in Iran. Comput Human Behav 44:35–47

    Article  Google Scholar 

  • NASA (1998) Developing and managing an effective reliability and maintainability program. NASA Technical Standard, Washington D.C

    Google Scholar 

  • Ogunlana S, Lim J, Saeed K (1998) Desman: a dynamic model for managing civil engineering design projects. Comput Struct 67(5):401–419

    Article  MATH  Google Scholar 

  • Oke SA (2005) An analytical model for the optimisation of maintenance profitability. Int J Product Perform Manag 54(2):113–136

    Article  MathSciNet  Google Scholar 

  • Parida A, Kumar U (2009) Maintenance productivity and performance measurement. Springer, Handbook of Maintenance Management and Engineering

    Book  Google Scholar 

  • Raouf A (1994) Improving capital productivity through maintenance. Int J Oper Prod Manag 14(7):44–52

    Article  Google Scholar 

  • Raouf A, Ben-Daya M (1995) Total maintenance management: a systematic approach. J Qual Maint Eng 1(1):6–14

    Article  Google Scholar 

  • Reilly M (2001) Design of computerized maintenance management system for radionuclide monitoring. University of Virginia, Virginia

    Google Scholar 

  • Rodrigues A, Bowers J (1996) System dynamic in project management: a comparative analysis with traditional methods. Syst Dyn Rev 12(2):121–139

    Article  Google Scholar 

  • Singh H, Motwani J, Kumar A (2000) A review and analysis of the state-of-the-art research on productivity measurement. Ind Manag Data Syst 100(5):234–241

    Article  Google Scholar 

  • Sterman J (2000) Business dynamics system thinking and modeling for a complex world. McGraw-Hill, New York City

    Google Scholar 

  • Sterman JD, Repenning NP, Kofman F (1997) Unanticipated side effects of successful quality programs: exploring a paradox of organizational improvement. Manag Sci 43(4):503–521

    Article  MATH  Google Scholar 

  • Thun J-H (2004) Modelling modern maintenance-a system dynamics model analyzing the dynamic implications of implementing total productive maintenance. In: 22nd International conference of the system dynamics society. Oxford

  • Thun J (2006) Maintaining preventive maintenance and maintenance prevention: analysing the dynamic implications of total productive maintenance. Syst Dyn Rev 22(2):163–179

    Article  Google Scholar 

  • Varelis AG, Stamboulis YA, Adamides ED (2002) A life-cycle system dynamics model of aircraft-engine maintenance. In: 20th System dynamics conference, vol 25. Palermo, pp. 412–428

  • Wireman T (2007) How to calculate return on investment for maintenance improvement projects. Iron Steel Eng Int Technol World Compet 74(3):29–32

    Google Scholar 

  • Yang R, Yan Z, Kang J (2015) An inspection maintenance model based on a three-stage failure process with imperfect maintenance via Monte Carlo simulation. Int J Syst Assur Eng Manag 6(3):231–237

    Article  Google Scholar 

  • Yiginglin L (2004) A simulation model for field service with condition based maintenance. United Technologies Research Center, Farmington

    Google Scholar 

  • Zhang L, Zhou Y, Huang C (2017) An approximate hybrid approach to maintenance optimisation for a system with multistate components. Int J Syst Assur Eng Manag 8(1):189–196

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Najjartabar Bisheh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Esmaeili, E., Karimian, H. & Najjartabar Bisheh, M. Analyzing the productivity of maintenance systems using system dynamics modeling method. Int J Syst Assur Eng Manag 10, 201–211 (2019). https://doi.org/10.1007/s13198-018-0754-5

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-018-0754-5

Keywords

Navigation