Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems

Designing dynamic, robust, and static facility layouts are well-known approaches to cope with the stochastic dynamic facility layout problem (SDFLP). A dynamic layout includes an optimal layout in each period of the planning horizon, whereas a robust layout is a good layout over the entire time plan...

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Main Author:	Moslemipour, Ghorbanali
Format:	Thesis
Published:	2012
Subjects:	TS Manufactures
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id	my-mmu-ep.5447
record_format	uketd_dc
spelling	my-mmu-ep.54472014-04-22T07:43:17Z Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems 2012-06 Moslemipour, Ghorbanali TS Manufactures Designing dynamic, robust, and static facility layouts are well-known approaches to cope with the stochastic dynamic facility layout problem (SDFLP). A dynamic layout includes an optimal layout in each period of the planning horizon, whereas a robust layout is a good layout over the entire time planning horizon, but not necessarily an optimal layout for a particular time period. Using the static approach each period is solved separately, regardless of other periods data. This dissertation deals with the SDFLP, where the product demands are assumed to be dependent normally distributed random variables with known expected value, variance, and covariance that change from period to period at random. Development of a new quadratic assignment-based mathematical model to design each of the dynamic, robust, static, the most robust, the most stable, and the robust stable machine layouts are the first main objectives of the thesis. Then, each of the dynamic and robust machine layout design models is generalised to a model for concurrent design of dynamic and robust inter and intra-cell layouts. Another major objective of this dissertation is development of a novel hybrid algorithm named AC-CS-SA by using ant colony (AC), clonal selection (CS), simulated annealing (SA), and robust layout design approaches to solve the SDFLP formulated by each of the aforementioned models. 2012-06 Thesis http://shdl.mmu.edu.my/5447/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Engineering and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	TS Manufactures
spellingShingle	TS Manufactures Moslemipour, Ghorbanali Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems
description	Designing dynamic, robust, and static facility layouts are well-known approaches to cope with the stochastic dynamic facility layout problem (SDFLP). A dynamic layout includes an optimal layout in each period of the planning horizon, whereas a robust layout is a good layout over the entire time planning horizon, but not necessarily an optimal layout for a particular time period. Using the static approach each period is solved separately, regardless of other periods data. This dissertation deals with the SDFLP, where the product demands are assumed to be dependent normally distributed random variables with known expected value, variance, and covariance that change from period to period at random. Development of a new quadratic assignment-based mathematical model to design each of the dynamic, robust, static, the most robust, the most stable, and the robust stable machine layouts are the first main objectives of the thesis. Then, each of the dynamic and robust machine layout design models is generalised to a model for concurrent design of dynamic and robust inter and intra-cell layouts. Another major objective of this dissertation is development of a novel hybrid algorithm named AC-CS-SA by using ant colony (AC), clonal selection (CS), simulated annealing (SA), and robust layout design approaches to solve the SDFLP formulated by each of the aforementioned models.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Moslemipour, Ghorbanali
author_facet	Moslemipour, Ghorbanali
author_sort	Moslemipour, Ghorbanali
title	Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems
title_short	Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems
title_full	Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems
title_fullStr	Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems
title_full_unstemmed	Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems
title_sort	intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems
granting_institution	Multimedia University
granting_department	Faculty of Engineering and Technology
publishDate	2012
_version_	1747829576794374144

Intelligent design of dynamic and robust layouts in uncertain environment of flexible manufacturing systems

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