A ‘fuzzy’ approach to facilities lay-out planning

Raoot, A. D.; Rakshit, Atanu

doi:10.1080/00207549108930105

Cited by 54 publications

(14 citation statements)

References 29 publications

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“…They used the fuzzy linguistic variables to express the qualitative relationships of 'closeness' and 'importance' between facilities. Raoot and Rakshit [131] proposed a fuzzy approach to design an optimal facility layout. They used the linguistic variables to express the qualitative and quantitative parameters.…”

Section: Fuzzy Systemmentioning

confidence: 99%

A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems

Moslemipour

Lee

Rilling

2011

Int J Adv Manuf Technol

117

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Facility layout problem is associated with the arrangement of facilities in a plant. It is a critical issue in the early stages of designing a manufacturing system because it affects the total manufacturing cost significantly. Dynamic and robust layouts are flexible enough to cope with fluctuations and uncertainties in product demands in volatile environment of flexible manufacturing systems. Since the facility layout is a hard combinatorial optimization problem, intelligent approaches are the most appropriate methods for solving the large size of this problem in reasonable computational time. In this paper, first of all, dynamic and robust layouts are surveyed. After a quick look of different mathematical models, including quadratic assignment, quadratic set covering, mixed integer programming, and graph theoretic models, the various solution methods especially intelligent approaches along with their advantages and disadvantages are surveyed. Finally, after review of hybrid algorithms, the conclusion of this paper is reported.

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Section: Fuzzy Systemmentioning

confidence: 99%

A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems

Moslemipour

Lee

Rilling

2011

Int J Adv Manuf Technol

117

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“…92 In practice, TFLP planners often do not know the exact data 93 affecting the layout in large-scale construction projects. Fuzzy 94 logic, therefore, has been proposed to handle this imprecision or 95 uncertainty [16, 18,36]. Although previous studies have signifi- 96 cantly improved FLPs with uncertainty, it is often difficult to simul-97 taneously reflect the subjective and objective imprecision and 98 complexity.…”

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confidence: 99%

“…Thus, this study proposes a new method for dynamic TFLP with 34 unequal-area departments. To begin with, a multi-objective dynamic optimization layout model based 35 on facilities coordinates is presented, in which the transportation costs between the facilities are 36 described as fuzzy random variables and the temporary facilities, represented as rectangles or squares, 37 are restricted to two-dimensional geometric constraints. Subsequently, the multi-objective position-38 based adaptive particle swarm optimization (p-based MOPSO) is developed to obtain feasible optimiza-39 tion solutions for the proposed problem.…”

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confidence: 99%

Multi-objective dynamic layout problem for temporary construction facilities with unequal-area departments under fuzzy random environment

Song

2015

Knowledge-Based Systems

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“…Cambron and Evans (1991) used different computer-aided layout design methods to generate a set of design alternatives that are then evaluated by AHP against a set of design criteria. Raoot and Rakshit (1991) proposed a construction-type layout design heuristic based on the fuzzy set theory. A linguistic variable was used to model various qualitative design criteria, and then to determine the closeness relationship among departments.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated AHP-VIKOR Methodology for Facility Layout Design

Shokri¹,

Ashjari²,

Saberi³

et al. 2013

Industrial Engineering and Management Systems

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A facility layout design (FLD) problem can be generally introduced as assignment of facilities (departments) to a site such that a set of criteria are satisfied or some objectives are minimized (maximized). Hence, it can be considered as a multi-criteria problem due to the presence of qualitative criteria such as maintenance or flexibility and quantitative criteria such as the total cost of handling material. The VIKOR method was developed to solve multiple criteria decision making problems with conflicting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. This paper proposes a hierarchical analytic hierarchy process (AHP) and VIKOR approach to solve the FLD problem. A computer-aided layout-planning tool is adopted to generate the facility layout problems, as well as their quantitative data. The qualitative performance measures are weighted by AHP. VIKOR is then used to solve the FLD problem. Finally, the proposed integrated procedure is applied to three real-time examples.

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A ‘fuzzy’ approach to facilities lay-out planning

Cited by 54 publications

References 29 publications

A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems

A review of intelligent approaches for designing dynamic and robust layouts in flexible manufacturing systems

Multi-objective dynamic layout problem for temporary construction facilities with unequal-area departments under fuzzy random environment

An Integrated AHP-VIKOR Methodology for Facility Layout Design

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