Intelligent design of a flexible cell layout with maximum stability in a stochastic dynamic situation

Lee, T. S. and Moslemipour, Ghorbanali (2012) Intelligent design of a flexible cell layout with maximum stability in a stochastic dynamic situation. In: Trends in Intelligent Robotics, Automation, and Manufacturing. Communications in Computer and Information Science, 330 (330). Springer Berlin Heidelberg, pp. 398-405. ISBN 978-3-642-35196-9

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Official URL: http://link.springer.com/chapter/10.1007%2F978-3-6...

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.

Item Type: Book Section
Additional Information: Book Subtitle: First International Conference, IRAM 2012, Kuala Lumpur, Malaysia, November 28-30, 2012. Proceedings
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 04 Mar 2014 01:17
Last Modified: 04 Mar 2014 01:17
URI: http://shdl.mmu.edu.my/id/eprint/5354

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