A New Two-Stage Approach for a Bi-Objective Facility Layout Problem Considering Input/ Output Points Under Fuzzy Environment

Mohamadi, Arash; Ebrahimnejad, Sadoullah; Soltani, Roya; Khalilzadeh, Mohammad

doi:10.1109/access.2019.2941442

Cited by 11 publications

(8 citation statements)

References 43 publications

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“…Tate and Smith [54] proposed a way to integrate material flow reduction and a penalization for solutions that have those undesirable "stretched" facilities. Thus, it is needed for each facility to have associated a shape constraint, let it be maximum aspect ratio allowed α (see Equations (3) and (4)) or minimum side length (minSide), that determines when a facility is feasible or not. So, if a plant layout is composed of facilities that do not fulfill their shape constraint, its fitness value equals to the material flow value plus a penalty value proportional to the number of unfeasible facilities.…”

Section: A Specific Ua-flp Formulationmentioning

confidence: 99%

“…In general, the facilities layout planning objectives are the minimization of materials handling costs, optimize the use of labor, or improve workers' safety, among others. Material handling costs can account for 20% to 50% of a company budget, so an efficient arrangement of departments can reduce production costs substantially [2], [3]. Moreover, other possible constraints could be: a pair of departments should be near or adjacent to each other due to material handling; a pair of departments need to be far from each other, due to safety, health, or hygiene reasons, among others; a specific department has to be in a specific position due to aesthetic, production logic, federal regulations, etc.…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid Coral Reefs Optimization—Variable Neighborhood Search Approach for the Unequal Area Facility Layout Problem

et al. 2020

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The Unequal Area Facility Layout Problem (UA-FLP) is a relevant optimization problem related to industrial design, that deals with obtaining the most effective allocation of facilities, that make up the rectangular manufacturing plant layout. The UA-FLP is known to be a hard optimization problem, where meta-heuristic approaches are a good option to obtain competitive solutions. Many of these computational approaches, however, usually fall into local optima, and suffer from lack of diversity in their population, mainly due to the huge search spaces and hard fitness landscapes produced by the traditional representation of UA-FLP. To solve these issues, in this paper we propose a novel hybrid meta-heuristic approach, which combines a Coral Reefs Optimization algorithm (CRO) with a Variable Neighborhood Search (VNS) and a new representation for the problem, called Relaxed Flexible Bay Structure (RFBS), which simplifies the encoding and makes its fitness landscape more affordable. Thus, the use of VNS allows more intensive exploitation of the searching space with an affordable computational cost, as well as the RFBS allows better management of the free space into the plant layout. This combined strategy has been tested over a set of UA-FLP instances of different sizes, which have been previously tackled in the literature with alternative meta-heuristics. The tests results show very good performance in all cases.

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Section: A Specific Ua-flp Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Hybrid Coral Reefs Optimization—Variable Neighborhood Search Approach for the Unequal Area Facility Layout Problem

et al. 2020

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“…Other authors have presented additional approaches to manufacturing case studies. For example, Mohamadi et al [16] proposed an optimization algorithm to minimize the distances between facilities and dead space, using a model to obtain information from expert opinions. Due to the complexity considered, they used two metaheuristic algorithms, including PSO and Gas.…”

Section: Facility Layout Design With Simulation-based Optimizationmentioning

confidence: 99%

A Simulation-Based Optimization Methodology for Facility Layout Design in Manufacturing

et al. 2020

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Optimizing production systems is urgent and indispensable if companies are to cope with global competition and a move from mass production to mass customization. The urgency of this need is more obvious in old production plants with a history of modifications, expansions, and adaptations in their production facilities. It is common to find complex, intricate and inefficient systems of material and product flows as a result of poor production facility layout. Several approaches can be used to support the design of optimal facility layouts. However, there is a lack of a suitable generic methodology for designing such layouts. Additionally, there has been little focus on the data and resources required, or on how simulation and optimization can support the design of optimal facilities. To overcome these deficiencies, this paper studies the integration of simulation and optimization for the design and improvement of facility layouts taking into account production and logistics constraints. The paper includes a generic perspective and a detailed implementation. The proposed methodology is evaluated in two case studies and by drawing on the principles and tools of the functional resonance analysis method. This method analyzes the implementation order and variability of a group of processes that can lead to unwanted outcomes. The results can provide managers and other stakeholders with a methodology that adequately considers production and logistics constraints when seeking an optimized facility layout design.

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“…Although researchers pay attention to assessing the structure of production systems, a path choice among multiple schemes -obtained by different optimized algorithms -has not been given much consideration yet. Manufacturing organizations frequently deal with the unavailability of manufacturing pattern with restrictive and partial fixes instead of carrying out costly and tedious system redesign [4], [5].…”

Section: Introductionmentioning

confidence: 99%

An Appraisal of Manufacturing Structures Using Timeliness-Quality Entropy and Order Index Methods

Zhang

Liu

et al. 2021

IEEE Access

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A system's configuration plays a significant role in promoting its efficient functioning. This article addresses the problem of the deficiency of algorithms that can be employed to appraise the running performance of a system in diverse manufacturing structures. First, a timeliness-quality entropy concept is presented according to the mechanisms of information transmission. Based on the conditional entropy theory, a timeliness-quality entropy approach, jointed a structure order index developed, is then proposed to appraise the order degree of manufacturing structures quantitatively and screen manufacturing structure solutions appropriately. In an empirical study, we target the different facilities layout design of a job shop before and after conducting technological transformation and compute the order index under the different layout types. Eventually, the result obtained illustrates the applicability and effectiveness of the proposed approach. Therefore, this approach provides crucial theoretical support and practical guidance for appraising and screening manufacturing structures.INDEX TERMS Manufacture structure appraisal, order index, timeliness-quality entropy, running performance.

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A New Two-Stage Approach for a Bi-Objective Facility Layout Problem Considering Input/ Output Points Under Fuzzy Environment

Cited by 11 publications

References 43 publications

A Hybrid Coral Reefs Optimization—Variable Neighborhood Search Approach for the Unequal Area Facility Layout Problem

A Hybrid Coral Reefs Optimization—Variable Neighborhood Search Approach for the Unequal Area Facility Layout Problem

A Simulation-Based Optimization Methodology for Facility Layout Design in Manufacturing

An Appraisal of Manufacturing Structures Using Timeliness-Quality Entropy and Order Index Methods

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