Development of Production Simulator for Buffer Size Decisions in Complex Production Systems Using Genetic Algorithm
Deciding on buffer size for production lines has gained more and more importance because of growing complexity of the production lines and production costs. Many researches have developed numerous techniques for gaining the optimal buffer size which can aid in achieving maximum production rate. One...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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The Japan Society of Mechanical Engineers
2007-07-01
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| Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/1/3/1_3_418/_pdf/-char/en |
| _version_ | 1818107946839572480 |
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| author | Jaber ABU QUDEIRI Hidehiko YAMAMOTO Rizauddin RAMLI Khalid R. Al-MOMANI |
| author_facet | Jaber ABU QUDEIRI Hidehiko YAMAMOTO Rizauddin RAMLI Khalid R. Al-MOMANI |
| author_sort | Jaber ABU QUDEIRI |
| collection | DOAJ |
| description | Deciding on buffer size for production lines has gained more and more importance because of growing complexity of the production lines and production costs. Many researches have developed numerous techniques for gaining the optimal buffer size which can aid in achieving maximum production rate. One of the search methods that can be used for studying buffer size in production lines is a genetic algorithm (GA). In this paper, we propose a production simulator (PS) to determine optimal or near optimal buffer size and, at the same time, to minimize the number of generations required to reach this optimal buffer size for the complex production systems (CPS). Our PS consists of a GA and a discrete event. For the most efficient use of the GA we introduce a new encoding method for GA called a Multi-Vector Encoding Method (MVEM). |
| first_indexed | 2024-12-11T02:07:33Z |
| format | Article |
| id | doaj.art-54750f20be904a07a62b9150046745c9 |
| institution | Directory Open Access Journal |
| issn | 1881-3054 |
| language | English |
| last_indexed | 2024-12-11T02:07:33Z |
| publishDate | 2007-07-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| spelling | doaj.art-54750f20be904a07a62b9150046745c92022-12-22T01:24:21ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542007-07-011341842910.1299/jamdsm.1.418jamdsmDevelopment of Production Simulator for Buffer Size Decisions in Complex Production Systems Using Genetic AlgorithmJaber ABU QUDEIRI0Hidehiko YAMAMOTO1Rizauddin RAMLI2Khalid R. Al-MOMANI3Intelligent Manufacturing Systems Laboratory, Gifu UniversityIntelligent Manufacturing Systems Laboratory, Gifu UniversityIntelligent Manufacturing Systems Laboratory, Gifu UniversityKing Abdullah University HospitalDeciding on buffer size for production lines has gained more and more importance because of growing complexity of the production lines and production costs. Many researches have developed numerous techniques for gaining the optimal buffer size which can aid in achieving maximum production rate. One of the search methods that can be used for studying buffer size in production lines is a genetic algorithm (GA). In this paper, we propose a production simulator (PS) to determine optimal or near optimal buffer size and, at the same time, to minimize the number of generations required to reach this optimal buffer size for the complex production systems (CPS). Our PS consists of a GA and a discrete event. For the most efficient use of the GA we introduce a new encoding method for GA called a Multi-Vector Encoding Method (MVEM).https://www.jstage.jst.go.jp/article/jamdsm/1/3/1_3_418/_pdf/-char/encomplex production systemmulti vector encoding methodbuffer sizegenetic algorithmproduction simulator |
| spellingShingle | Jaber ABU QUDEIRI Hidehiko YAMAMOTO Rizauddin RAMLI Khalid R. Al-MOMANI Development of Production Simulator for Buffer Size Decisions in Complex Production Systems Using Genetic Algorithm Journal of Advanced Mechanical Design, Systems, and Manufacturing complex production system multi vector encoding method buffer size genetic algorithm production simulator |
| title | Development of Production Simulator for Buffer Size Decisions in Complex Production Systems Using Genetic Algorithm |
| title_full | Development of Production Simulator for Buffer Size Decisions in Complex Production Systems Using Genetic Algorithm |
| title_fullStr | Development of Production Simulator for Buffer Size Decisions in Complex Production Systems Using Genetic Algorithm |
| title_full_unstemmed | Development of Production Simulator for Buffer Size Decisions in Complex Production Systems Using Genetic Algorithm |
| title_short | Development of Production Simulator for Buffer Size Decisions in Complex Production Systems Using Genetic Algorithm |
| title_sort | development of production simulator for buffer size decisions in complex production systems using genetic algorithm |
| topic | complex production system multi vector encoding method buffer size genetic algorithm production simulator |
| url | https://www.jstage.jst.go.jp/article/jamdsm/1/3/1_3_418/_pdf/-char/en |
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