Search results for "Slicing Structure"

showing 2 items of 2 documents

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
researchProduct

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
researchProduct