Search results for "Facility Layout"

showing 5 items of 5 documents

A multi objective genetic algorithm for the facility layout problem based upon slicing structure encoding

2012

This paper proposes a new multi objective genetic algorithm (MOGA) for solving unequal area facility layout problems (UA-FLPs). The genetic algorithm suggested is based upon the slicing structure where the relative locations of the facilities on the floor are represented by a location matrix encoded in two chromosomes. A block layout is constructed by partitioning the floor into a set of rectangular blocks using guillotine cuts satisfying the areas requirements of the departments. The procedure takes into account four objective functions (material handling costs, aspect ratio, closeness and distance requests) by means of a Pareto based evolutionary approach. The main advantage of the propos…

Structure (mathematical logic)Mathematical optimizationClosenessGeneral EngineeringPareto principleSlicingComputer Science ApplicationsSet (abstract data type)Artificial IntelligenceEncoding (memory)Genetic algorithmMulti Objective Genetic Algorithm Facility Layout ProblemSlicing StructureMathematicsBlock (data storage)Expert Systems with Applications
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A non dominated ranking Multi Objective Genetic Algorithm and electre method for unequal area facility layout problems

2013

The unequal area facility layout problem (UA-FLP) comprises a class of extremely difficult and widely applicable optimization problems arising in diverse areas and meeting the requirements for real-world applications. Genetic Algorithms (GAs) have recently proven their effectiveness in finding (sub) optimal solutions to many NP-hard problems such as UA-FLP. A main issue in such approach is related to the genetic encoding and to the evolutionary mechanism implemented, which must allow the efficient exploration of a wide solution space, preserving the feasibility of the solutions and ensuring the convergence towards the optimum. In addition, in realistic situations where several design issues…

Mathematical optimizationOptimization problemGeneral EngineeringSolution setPareto principleMulti Objective Genetic Algorithm electre method unequal area facility layout problemsComputer Science ApplicationsRankingArtificial IntelligenceGenetic algorithmConvergence (routing)ELECTRESelection (genetic algorithm)MathematicsExpert Systems with Applications
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Facility layout problem: Bibliometric and benchmarking analysis

2019

Facility layout problem is related to the location of departments in a facility area, with the aim of determining the most effective configuration. Researches based on different approaches have been published in the last six decades and, to prove the effectiveness of the results obtained, several instances have been developed. This paper presents a general overview on the extant literature on facility layout problems in order to identify the main research trends and propose future research questions. Firstly, in order to give the reader an overview of the literature, a bibliometric analysis is presented. Then, a clusterization of the papers referred to the main instances reported in literat…

Bibliometric analysislcsh:T55.4-60.8Computer scienceFacility layout problemBenchmarkingFacility layout problemIndustrial engineeringIndustrial and Manufacturing EngineeringBibliometric analysisOrder (business)InstancesSettore ING-IND/17 - Impianti Industriali MeccaniciBenchmarking procedure; Bibliometric analysis; Facility layout problem; Instanceslcsh:Industrial engineering. Management engineeringBenchmarking procedureBibliometric analysilcsh:Production management. Operations managementlcsh:TS155-194
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Firefly algorithm based upon slicing structure encoding for unequal facility layout problem

2019

Finding the locations of departments or machines in a workspace is classified as a Facility Layout Problem. Good placement of departments has a relevant influence on manufacturing costs, work in process, lead times and production efficiency. This paper analyses the problem of allocating departments with restrictions in terms of unequal area and rectangular shape within a facility, in order to minimize the sum of material handling costs taking into account the satisfaction of the aspect ratio requested. In particular, we propose for the first time a Firefly Algorithm based on the slicing structure encoding. The proposed method was tested comparing the results obtained from other authors on t…

Structure (mathematical logic)Firefly protocollcsh:T55.4-60.8Computer scienceSlicingFacility layout problemFirefly algorithm Problem; Slicing structure; Unequal area-facility layoutIndustrial and Manufacturing EngineeringEncoding (memory)Settore ING-IND/17 - Impianti Industriali MeccaniciFirefly algorithm Problem Slicing structure Unequal area-facility layoutFirefly Algorithmlcsh:Industrial engineering. Management engineeringFirefly algorithmUnequal Area-Facility Layout ProblemSlicing Structurelcsh:Production management. Operations managementlcsh:TS155-194AlgorithmInternational Journal of Industrial Engineering Computations
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Data for: Decorous Combinatorial Lower Bounds for Row Layout Problems

2021

Files of the new randomly generated instancesnlengths of the departmentsmatrix with the transport weights THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE

Statistics::Other StatisticsInterdisciplinary sciencesOtherComputer Science::Operating SystemsFacility LayoutInteger Programming
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