Effectiveness Measurement of Facilities Layout

  • D. Raman
  • S. V. Nagalingam
  • B. W. Gurd
  • G. C. I. Lin


Measuring effectiveness in an existing facilities layout is a prerequisite in order to initiate any action that will improve layout effectiveness. Available methods on measurement of layout effectiveness help measure it in respect to only material handling cost and select an effective layout from a set of available alternatives. Nevertheless, factors such as empty travel of material handling equipment, layout flexibility and area utilisation contribute significantly towards the layout effectiveness. Thus, it is necessary to have a measurement model to determine the facilities layout’s effectiveness by considering all significant factors. Hence, a measurement model considering a set of three layout effectiveness factors namely Facilities Layout Flexibility (FLF), Productive Area Utilisation (PAU) and Closeness Gap (CG) is developed in our research. The proposed model will enable the decision-maker of a manufacturing enterprise to analyse a layout in three different aspects; based on which they can make decision towards productivity improvement. Due to the space limiation, this paper only discusses about the measurement of the CG. The CG is developed in respect to the objective of bringing closer the highly interactive facilities/departments. The CG presented in this paper extends other related works by incorporating numerous aspects of layout that include: empty travel of material handling equipment, information flow, personnel flow and equipment flow.


Facility Layout Effectiveness Facilities Layout Flexibility Productive Area Utilisation Closeness Gap 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Tompkins, J.A., et al., (2003) Facilities Planning. Third ed., New Jersey: John Wiley & Sons.Google Scholar
  2. [2]
    Benjaafar, S., (2002) Modeling and Analysis of Congestion in the design of Facility Layouts. Management Science, 48(5): p. 679–704.CrossRefGoogle Scholar
  3. [3]
    Leung, Y.-T. and Suri, R., (1990) Performance Evaluation of Discrete Manufacturing System. IEEE Control System Magazine, 10(4): p. 77–86.CrossRefGoogle Scholar
  4. [4]
    Bitran, G.R. and Morabito, R., (1996) Open Queueing Networks: Optimisation and Performance Evaluation Models for Discrete Manufacturing Systems. Production and Operations Management, 5(2): p. 163–193.CrossRefGoogle Scholar
  5. [5]
    Govil, M.K. and Fu, M.C., (1999) Queueing theory in manufacturing: A survey. Journal of Manufacturing Systems, 18(3): p. 214–40.CrossRefGoogle Scholar
  6. [6]
    Muthaiah, K.M.N. and Huang, S.H., (2006) A review of literature on manufacturing systems productivity measurement and improvement. International Journal of Industrial and Systems Engineering, 1(4): p. 461–84.CrossRefGoogle Scholar
  7. [7]
    Raman, D., Nagalingam, S., and Chiu, M. (2005) A Fuzzy Rule Based System to Measure Facility Layout Flexibility. in 18th International Conference on Production Research. Fisciano (SA), Italy: University of Salerno.Google Scholar
  8. [8]
    Raman, D. and Nagalingam, S.V. (2006) Productive area utilisation-Towards measuring the effectiveness of facilities layout. in 4th International Conference on Manufacturing Research. Liverpool John Moores University, UK.Google Scholar
  9. [9]
    Francis, R.L., McGinis, L.F., and White, J.A., (1992) Facility layout and location-An analytical approach. Englewood Cliffs, NJ: Prentice Hall.Google Scholar
  10. [10]
    Yaman, R., Gethin, D.T., and Clarke, M.J.,(1993) An effective sorting method for facility layout construction. International Journal of Production Research, 31(2): p. 413–427.Google Scholar
  11. [11]
    Mak, K.L., Wong, Y.S., and Chan, F.T.S., (1998) A genetic algorithm for facility layout problems. Computer Integrated Manufacturing Systems, 11(1–2): p. 113–127.CrossRefGoogle Scholar
  12. [12]
    Mckendall-Jr, A.R., Noble, J.S., and Klein, C.M., (1999) Facility layout of irregular-shaped departments using a nested approach. International Journal of Production Research,. 37(13): p. 2895–1914.CrossRefGoogle Scholar
  13. [13]
    Abdinnour-Helm, S. and Hadley, S.W., (2000) Tabu search based heuristics for multi-floor facility layout. International Journal of Production Research,. 38(2): p. 365–383.zbMATHCrossRefGoogle Scholar
  14. [14]
    Raoot, A.D. and Rakshit, A., (1991) A fuzzy approach to facilities lay-out planning. International Journal of Production Research,. 29(4): p. 835–857.Google Scholar
  15. [15]
    Dweiri, F., (1999) Fuzzy development of crisp activity relationship charts for facilities layout. Computer & Industrial Engineering, 36: p. 1–16.CrossRefGoogle Scholar
  16. [16]
    Deb, S.K. and Bhattacharyya, B., (2005) Fuzzy decision support system for manufacturing facilities layout planning. Decision Support Systems, 40(2): p. 305–314.CrossRefGoogle Scholar
  17. [17]
    Adel El-Baz, M., (2004) A genetic algorithm for facility layout problems of different manufacturing environments. Computers & Industrial Engineering, 47: p. 233–246.CrossRefGoogle Scholar
  18. [18]
    Hu, M.H. and Wang, M.-J., (2004) Using genetic algorithms on facilities layout problems. International Journal of Advanced Manufacturing Technology, 23: p. 301–310.CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2007

Authors and Affiliations

  • D. Raman
    • 1
  • S. V. Nagalingam
    • 1
  • B. W. Gurd
    • 1
  • G. C. I. Lin
    • 1
  1. 1.University of South AustraliaAustralia

Personalised recommendations