Abstract
Facility layout problem is a critical issue in the early stages of designing a manufacturing system because it affects the total manufacturing cost significantly. This paper proposes a new mathematical model for designing a machine layout having maximum stability for the whole time planning horizon of the stochastic dynamic facility layout problem by using quadratic assignment formulation. This layout has the maximum ability to display a small sensitivity to demand changeability. In this investigation, the product demands are assumed to be independent Poisson distributed random variables with known probability density function in each period. In order to validate the proposed model, a randomly generated test problem is solved by using simulated annealing algorithm. Finally, the computational results are evaluated statistically.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Tompkins, J.A., White, J.A., Bozer, Y.A., Tanchoco, J.M.A.: Facilities planning. Wiley, NwYork (2003)
Heragu, S.S.: Facilities Design, 1st edn. PWS Publishing Company, Boston (1997)
Groover, M.P.: Automation, production systems, and computer-Integrated manufacturing. Pearson Education Inc., New Jersey (2008)
Andre, L., Diane, R., Kathryn, E.S.: Transfer Batch Sizing in Flexible Manufacturing Systems. Journal of Manufacturing Systems 18(2), 140–151 (1999)
Das, S.R., Canel, C.: An algorithm for scheduling batches of parts in a multi-cell flexible manufacturing system. Int. J. Production Economics 97, 247–262 (2005)
Gupta, R.M.: Flexibility in layouts: A simulation approach. Material Flow 3, 243–250 (1986)
Rosenblatt, M.J., Kropp, D.H.: The single period stochastic plant layout problem. IIE Transactions 24(2), 169–176 (1992)
Benjaafar, S., Sheikhzadeh, M.: Design of flexible layouts. IIE Transactions 32, 309–322 (2000)
Braglia, M., Simone, Z., Zavanella, L.: Layout design in dynamic environments: Strategies and quantitative indices. Int. J. of Production Research 41(5), 995–1016 (2003)
Kulturel-Konak, S., Smith, A.E., Norman, B.A.: Layout optimization considering production uncertainty and routing flexibility. Int. J. of Prod. Res. 42(21), 4475–4493 (2004)
Braglia, M., Simone, Z., Zavanella, L.: Layout design in dynamic environments: Analytical issues. International Transactions in Operational Research 12, 1–19 (2005)
Enea, M., Galante, G., Panascia, E.: The facility layout problem approached using a fuzzy model and a genetic search. Journal of Intelligent Manufacturing 16, 303–316 (2005)
Norman, B.A., Smith, A.E.: A continuous approach to considering uncertainty in facility design. Computers and Operations Research 33, 1760–1775 (2006)
Tavakkoli-Moghaddam, R., Javadian, N., Javadi, B., Safaei, N.: Design of a facility layout problem in cellular manufacturing systems with stochastic demands. Applied Mathematics and Computation 184, 721–728 (2007)
Moslemipour, G., Lee, T.S.: Intelligent design of a dynamic machine layout in uncertain environment of flexible manufacturing systems. J. Intell. Manuf. (2011), doi:10.1007/s10845-010-0499-8
Koopmans, T.C., Beckman, M.: Assignment problems and the location of economic activities. Econometric 25, 53–76 (1957)
Sahni, S., Gonzalez, T.: P-complete approximation problem. Journal of ACM 23(3), 555–565 (1976)
Foulds, L.R.: Techniques for Facilities Layout: Deciding which Pairs of Activities should be Adjacent. Management Science 29(12), 1414–1426 (1983)
Alvarenga, A.G., Gomes, N.J., Mestria, M.: Metaheuristic methods for a class of the facility layout problems. Journal of Intelligent Manufacturing 11, 421–430 (2000)
Braglia, M., Zanoni, S., Zavanella, L.: Robust versus stable layout design in stochastic environments. Production Planning & Control 16(1), 71–80 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, T.S., Moslemipour, G. (2012). Intelligent Design of a Flexible Cell Layout with Maximum Stability in a Stochastic Dynamic Situation. In: Ponnambalam, S.G., Parkkinen, J., Ramanathan, K.C. (eds) Trends in Intelligent Robotics, Automation, and Manufacturing. IRAM 2012. Communications in Computer and Information Science, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35197-6_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-35197-6_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35196-9
Online ISBN: 978-3-642-35197-6
eBook Packages: Computer ScienceComputer Science (R0)