Optimisation of multi-stage production-inspection stations using genetic algorithm

The optimal allocation and sequencing of inspection stations is to be presented in this paper. The notion of optimality in this case encompasses factors such as the cost of inspection, the cost of allowing a defective unit to be output, and the cost of internal failure. The main goal of this work is...

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Main Authors: Hassan, Azmi, Pham, Duc Trung
Format: Article
Language:English
Published: SIRIM 2000
Subjects:
Online Access:http://irep.iium.edu.my/37348/
http://irep.iium.edu.my/37348/1/Jour_Industrial_Tech_2000.pdf
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author Hassan, Azmi
Pham, Duc Trung
author_facet Hassan, Azmi
Pham, Duc Trung
author_sort Hassan, Azmi
building IIUM Repository
collection Online Access
description The optimal allocation and sequencing of inspection stations is to be presented in this paper. The notion of optimality in this case encompasses factors such as the cost of inspection, the cost of allowing a defective unit to be output, and the cost of internal failure. The main goal of this work is to develop an efficient optimisation tool which will minimise the cost functions of the stated optimisation problems. The optimisation tool to be considered is Genetic Algorithm (GA). An introduction to the concepts of the GA and its encoding of the solutions to the problems in a genetic form and the evaluation of the resulting genetic code to give the fitness of those solutions will be discussed. The setting of the parameters for the genetic operators and the ways of initialising the solution population are also described. Finally, the results obtained are presented and compared to those produced by conventional methods.
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spelling iium-373482014-08-11T03:01:53Z http://irep.iium.edu.my/37348/ Optimisation of multi-stage production-inspection stations using genetic algorithm Hassan, Azmi Pham, Duc Trung QA76 Computer software T Technology (General) The optimal allocation and sequencing of inspection stations is to be presented in this paper. The notion of optimality in this case encompasses factors such as the cost of inspection, the cost of allowing a defective unit to be output, and the cost of internal failure. The main goal of this work is to develop an efficient optimisation tool which will minimise the cost functions of the stated optimisation problems. The optimisation tool to be considered is Genetic Algorithm (GA). An introduction to the concepts of the GA and its encoding of the solutions to the problems in a genetic form and the evaluation of the resulting genetic code to give the fitness of those solutions will be discussed. The setting of the parameters for the genetic operators and the ways of initialising the solution population are also described. Finally, the results obtained are presented and compared to those produced by conventional methods. SIRIM 2000 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37348/1/Jour_Industrial_Tech_2000.pdf Hassan, Azmi and Pham, Duc Trung (2000) Optimisation of multi-stage production-inspection stations using genetic algorithm. Journal of Industrial Technology, 9 (2). pp. 59-73. ISSN 0128-4940
spellingShingle QA76 Computer software
T Technology (General)
Hassan, Azmi
Pham, Duc Trung
Optimisation of multi-stage production-inspection stations using genetic algorithm
title Optimisation of multi-stage production-inspection stations using genetic algorithm
title_full Optimisation of multi-stage production-inspection stations using genetic algorithm
title_fullStr Optimisation of multi-stage production-inspection stations using genetic algorithm
title_full_unstemmed Optimisation of multi-stage production-inspection stations using genetic algorithm
title_short Optimisation of multi-stage production-inspection stations using genetic algorithm
title_sort optimisation of multi-stage production-inspection stations using genetic algorithm
topic QA76 Computer software
T Technology (General)
url http://irep.iium.edu.my/37348/
http://irep.iium.edu.my/37348/1/Jour_Industrial_Tech_2000.pdf