Skip to main content
SpringerLink
Log in

Manufacturing configuration selection using multicriteria decision tool

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

An ever increasing trend in today’s dynamic and competitive world markets, manufacturing organizations should provide the right amount of flexibility at the right time in the right direction. Among many manufacturing strategies available, reconfigurable manufacturing system is emerging as an attractive alternative to meet this goal. Organizations in pursuit of reconfigurations are often presented with a number of options and hence face a problem of evaluating the feasible alternative configurations before choosing the best one. The study reported in this paper is related to an organization interested in reconfiguring the present manufacturing setup. A number of alternative configurations were identified. Simulation models were developed for these configurations, and the results of the simulation experiments were analyzed to assess the suitability of each configuration in the point of view of five performance measures. The simulation experiments, method used to analyze the simulated results, and the outcome of the study are reported in this paper.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Shirinzadeh B, Tie Y (1995) Experimental investigation of the performance of a reconfigurable fixturing system. Int J Adv Manuf Technol 10:330–341

    Article  Google Scholar 

  2. Koren Y (1997) Reconfigurable manufacturing system: key to future manufacturing. Proceedings of the 1998 Japan-USA Symposium on Flexible Automation, Otsu, Japan, pp.677–682

  3. Lee GH (1997) Reconfigurability consideration design of components and manufacturing systems. Int J Adv Manuf Technol 13:376–386

    Article  Google Scholar 

  4. Mehrabi MG, Ulsoy AG, Koren Y (2000) Reconfigurable manufacturing systems and their enabling technologies. Int J Manuf Tech Manag 1(1):113–130

    Google Scholar 

  5. Youssef AMA, ElMaraghy HA (2006) Assessment of manufacturing systems reconfiguration smoothness. Int J Adv Manuf Technol 30:174–193. doi:10.1007/s00170-005-0034-9

    Article  Google Scholar 

  6. Bi ZM, Lang SYT, Verner M, Orban P (2008) Development of reconfigurable machines. Int J Adv Manuf Technol 39:1227–1251. doi:10.1007/s00170-007-1288-1

    Article  Google Scholar 

  7. Dou XJ, Dai X, Meng Z (2009) Graph theory-based approach to optimize single-product flow-line configurations of RMS. Int J Adv Manuf Technol 41:916–931. doi:10.1007/s00170-008-1541-2

    Article  Google Scholar 

  8. Abdi MR, Labib AW (2003) A design strategy for reconfigurable manufacturing system using AHP: a case study. Int J Prod Res 41(10):2273–2299

    Article  Google Scholar 

  9. Rehman AU, Subash BA (2009) Evaluation of reconfigured manufacturing systems: an AHP framework. Int J Prod Qual Manag 4(2):228–246

    Google Scholar 

  10. Bruccoleria M, Pasekb J, Koren Y (2006) Operation management in reconfigurable manufacturing systems: reconfiguration for error handling. Int J Prod Econ 100(2):87–100

    Article  Google Scholar 

  11. Qiu RG, Russell DW, McDonnell P, Joshi S (2005) A heuristic game theoretic approach to resource sharing in reconfigurable manufacturing. Int J Adv Manuf Technol 25:78–87. doi:10.1007/s00170-003-1861-1

    Article  Google Scholar 

  12. Kumar R, Kumar S, Tiwari MK (2005) An expert enhanced coloured fuzzy Petri net approach to reconfigurable manufacturing systems involving information delays. Int J Adv Manuf Technol 26:922–933. doi:10.1007/s00170-003-1890-9

    Article  Google Scholar 

  13. Deif AM, ElMaraghy W (2007) Investigating optimal capacity scalability scheduling in a reconfigurable manufacturing system. Int J Adv Manuf Technol 32:557–562. doi:10.1007/s00170-005-0354-9

    Article  Google Scholar 

  14. Katz R (2007) Design principles of reconfigurable machines. Int J Adv Manuf Technol 34:430–439. doi:10.1007/s00170-006-0615-2

    Article  Google Scholar 

  15. Safaei N, Tavakkoli-Moghaddam R (2009) Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems. Int J Prod Econ 120(2):301–314

    Article  MathSciNet  Google Scholar 

  16. Li J, Dai X, Meng Z, Dou J, Guan X (2009) Rapid design and reconfiguration of Petri net models for reconfigurable manufacturing cells with improved net rewriting systems and activity diagrams. Comput Ind Eng 57(4):1431–1451

    Article  Google Scholar 

  17. Rahimifard A, Weston RH (2009) A resource-based modelling approach to support responsive manufacturing systems. Int J Adv Manuf Technol 45:1197–1214. doi:10.1007/s00170-009-2025-8

    Article  Google Scholar 

  18. Karsak EE, Tolga E (2001) Fuzzy multi-criteria decision making procedure for evaluating advanced manufacturing system investments. Int J Prod Econ 69:49–64

    Article  Google Scholar 

  19. Barad M, Nof SY (1997) CIM flexibility measures: a review and a framework for analysis and applicability assessment. Int J Comput Integr Manuf 10:296–308

    Article  Google Scholar 

  20. Chiadamrong N (1999) An integrated fuzzy multi-criteria decision- making method for the manufacturing strategies selection. Comput Ind Eng 37:433–436

    Article  Google Scholar 

  21. Gunasekaran A, Virtanen I, Martikainen T, Yli-Olli P (1994) The design of computer integrated manufacturing systems. Int J Prod Econ 34:313–327

    Article  Google Scholar 

  22. Kahraman C, Ziya U (1996) Fuzzy multi-objective linear programming based justification of advanced manufacturing systems. IEEE Trans Eng Manage 424:226–232

    Google Scholar 

  23. Abdi MR (2009) Layout configuration selection for reconfigurable manufacturing systems using the fuzzy AHP. Int J Manuf Tech Manag 17(1/2):149–165

    MathSciNet  Google Scholar 

  24. Abdi MR (2009) Fuzzy multi-criteria decision model for evaluating reconfigurable machines. Int J Prod Econ 117(1):1–15

    Article  MathSciNet  Google Scholar 

  25. Roy B (1971) Problems and methods with multiple objective functions. Math Program 1(2):239–266

    Article  MATH  Google Scholar 

  26. Rehman AU, Subash BA (2009) The evaluation of manufacturing systems using concordance and disconcordance properties. Int J Serv Oper Manag 5(3):326–349

    Google Scholar 

  27. Kannan M, Saha J (2009) A feature-based generic setup planning for configuration synthesis of reconfigurable machine tools. Int J Adv Manuf Technol 43:994–1009. doi:10.1007/s00170-008-1779-8

    Article  Google Scholar 

  28. Abbasi M, Houshmand M (2010) Production planning and performance optimization of reconfigurable manufacturing systems using genetic algorithm. Int J Adv Manuf Technol. doi:10.1007/s00170-010-2914-x

  29. Brans JP, Vincke P (1985) A preference ranking organization method: the PROMETHEE method for MCDM. Manag Sci 31(6):647–656

    Article  MathSciNet  MATH  Google Scholar 

  30. Brans JP, Mareschal B, Vincke P (1986) How to select and how to rank projects: the PROMETHEE method for MCDM. Euro J Opera Res 24:228–238

    Article  MathSciNet  MATH  Google Scholar 

  31. Dulmin R, Mininno V (2003) Supplier selection using a multi-criteria decision aid method. J Purch Supply Manag 9:177–187

    Article  Google Scholar 

  32. Zionts S (1989) MCDM and risk analysis. Computer and systems sciences. Springer-Verlag, Berlin

    Google Scholar 

  33. Vincke P (1992) Multicriteria decision aid. Wiley, New York

    Google Scholar 

  34. De Boer L, Wegen LV, Telgen J (1998) Outranking methods in support of supplier selection. Euro J Purch Supply Manag 4:109–118

    Article  Google Scholar 

  35. Keeney R (1992) Value-focused thinking. Harvard University Press, Cambridge

    Google Scholar 

  36. Roy B (1991) The outranking approach and the foundation of ELECTRE methods. Theor Decis 31(1):49–73

    Article  Google Scholar 

  37. De Keyser W, Peter P (1996) A note on the use of PROMETHEE multicriteria methods. Euro J Opera Res 89(3):457–461. doi:10.1016/0377-2217(94)00307-6

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh, 11421, Kingdom of Saudi Arabia

    Ateekh-Ur-Rehman Lateef-Ur-Rehman

Authors
  1. Ateekh-Ur-Rehman Lateef-Ur-Rehman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ateekh-Ur-Rehman Lateef-Ur-Rehman.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lateef-Ur-Rehman, AUR. Manufacturing configuration selection using multicriteria decision tool. Int J Adv Manuf Technol 65, 625–639 (2013). https://doi.org/10.1007/s00170-012-4201-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-012-4201-5

Keyword

Search

Navigation