Algorithms for robust single and multiple period layout planning for manufacturing systems

Kouvelis, Panos; Kurawarwala, Abbas A.; Gutiérrez, Genaro J.

doi:10.1016/0377-2217(92)90032-5

Cited by 171 publications

(75 citation statements)

References 16 publications

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“…Recently, the concept of dynamic layout problems has been introduced by several researchers. According to [6][7], dynamic layout problems take into account possible changes in the material handling flow over multiple periods. In the dynamic facility layout problem (DFLP), the planning horizon is generally divided into certain periods which may be defined in weeks, months, or even years.…”

Section: Facility Layout Problemsmentioning

confidence: 99%

SimSum1: a general optimisation via simulation approach for 0-1 programming models

Azimi¹

2012

Int. j. simul. model.

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The current study develops a new general heuristic approach to address a special class of combinatorial problems, efficiently. The approach combines discrete event simulation together with relaxation techniques to solve a special class of 0-1 programming models including a constraint that restricts the summation of all variables to be 1. Three well-known combinatorial problems -including such a constraint-such as Dynamic Facility Layout Problem (DFLP), Graph Labelling Problem (GLP) and Travelling Salesman Problem (TSP) have been addressed and could be solved efficiently by the proposed algorithm. Several experiments have been carried out to show the efficiency of the algorithm. The results show that the proposed algorithm can be used for several real world applications while according to the best knowledge of the author, at least for DFLP and GLP, it is the fastest algorithm which has been developed in the literature.

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Section: Facility Layout Problemsmentioning

confidence: 99%

SimSum1: a general optimisation via simulation approach for 0-1 programming models

Azimi¹

2012

Int. j. simul. model.

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“…This layout may not be optimal under any specific scenario, but it is also not too far off from the optimal under all possible scenarios [64]. Heuristic strategies for developing robust layouts for multiple planning periods are presented in [47]. Palekar et al [62] consider uncertainties explicitly in determining plant layout.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Much of the literature, including papers that deal with dynamic environments, relies on measures of expected material handling efficiency -a weighted sum of travel distances incurred by the material handling system -in evaluating candidate layouts. Few papers, such as [47] and [65], use a robustness criteria where instead of mean performance, a layout is evaluated by its ability to guarantee a certain level of performance for each period or under each scenario. Others have used a combined mean and variance criterion to minimize the range of fluctuation in performance -see for example [61].…”

Section: A Classification Schemementioning

confidence: 99%

“…The GM Gravatai plant, also in Brazil, houses a final assembly plant and 16 supplier led many companies to adopt a strategy of delayed product differentiation [19,46,47]. By using delayed differentiation, the point in the manufacturing process in which products are assigned individual features is postponed as much as possible.…”

Section: Some Emerging Trends In Industrymentioning

confidence: 99%

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Next Generation Factory Layouts: Research Challenges and Recent Progress

2002

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There is an emerging consensus that existing layout configurations do not meet the needs of the multi-product enterprise and that there is a need for a new generation of factory layouts that are more flexible, modular, and more easily reconfigurable. In this article, we offer a review of state of the art in the area of design of factory layouts for dynamic environments. We report on emerging efforts in both academia and industry in developing alternative layout configurations, new performance metrics, and solution methods for designing the "next generation" of factory layouts. In particular, we focus on describing efforts by the Consortium on Next Generation Factory Layouts (NGFL) to address some of these challenges. The consortium, supported by the National Science Foundation, involves multiple universities and several manufacturing companies. The goal of the consortium is to explore alternative layout configurations and alternative performance metrics for designing flexible and reconfigurable factories.1

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“…Thus, the most flexible (robust) layout is the one whose cost performance remains close to the optimal layout for the largest number of scenarios. A robustness approach to the single and multiple period layout problem is also proposed by Kouvelis et al [12].…”

Section: Introductionmentioning

confidence: 99%

Design of flexible plant layouts

Benjaafar

Sheikhzadeh

2000

IIE Transactions

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In this paper, we address the problem of designing flexible plant layouts for manufacturing facilities where product demands are subject to variability. A flexible layout is one that maintains low material handling costs despite fluctuations in the product demand levels. We extend existing procedures for design of flexible layouts by (1) explicitly capturing the stochastic nature of product demands and the resulting variability in material flows between different processing departments, (2) allowing for the possibility of multiple processing departments of the same type to exist in the same facility, and (3) letting material flows between pairs of individual departments be determined simultaneously with the layout and as a function of demand scenarios. Optimal and heuristic methods are presented for generating flexible layouts and determining flow allocations under various design and operation assumptions.-2-

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Algorithms for robust single and multiple period layout planning for manufacturing systems

Cited by 171 publications

References 16 publications

SimSum1: a general optimisation via simulation approach for 0-1 programming models

SimSum1: a general optimisation via simulation approach for 0-1 programming models

Next Generation Factory Layouts: Research Challenges and Recent Progress

Design of flexible plant layouts

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