A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems
Manufacturing process planning (MPP) is concerned with decisions regarding selection of an optimal configuration for processing parts. For multiparts reconfigurable manufacturing lines, such decisions are strongly influenced by the types of processes available, the relationships for sequencing the p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/12719/1/A%20metaheuristic%20approach%20to%20manufacturing%20process%20planning%20in%20reconfigurable%20manufacturing%20systems.pdf |
| _version_ | 1825945097903013888 |
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| author | Musharavati, Farayi Ismail, Napsiah S. Hamouda, Abdel Magid Salem Ramli, Abdul Rahman |
| author_facet | Musharavati, Farayi Ismail, Napsiah S. Hamouda, Abdel Magid Salem Ramli, Abdul Rahman |
| author_sort | Musharavati, Farayi |
| collection | UPM |
| description | Manufacturing process planning (MPP) is concerned with decisions regarding selection of an optimal configuration for processing parts. For multiparts reconfigurable manufacturing lines, such decisions are strongly influenced by the types of processes available, the relationships for sequencing the processes and the order of processing parts. Decisions may conflict, hence the decision making tasks must be carried out in a concurrent manner. This paper outlines an optimization solution technique for the MPP problem in reconfigurable manufacturing systems (RMSs). MPP is modelled in an optimization perspective and the solution methodology is provided through a metaheuristic technique known as simulated annealing. Analytical functions for modelling MPP are based on knowledge of processes available to the manufacturing system as well as processing constraints. Application of this approach is illustrated through a multistage parallel–serial reconfigurable manufacturing line. The results show that significant improvements to the solution of this type of problem can be gained through the use of simulated annealing. Moreover, the metaheuristic technique is able to identify an optimal manufacturing process plan for a given production scenario. |
| first_indexed | 2024-03-06T07:26:12Z |
| format | Article |
| id | upm.eprints-12719 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T07:26:12Z |
| publishDate | 2008 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | upm.eprints-127192015-10-26T01:36:09Z http://psasir.upm.edu.my/id/eprint/12719/ A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems Musharavati, Farayi Ismail, Napsiah S. Hamouda, Abdel Magid Salem Ramli, Abdul Rahman Manufacturing process planning (MPP) is concerned with decisions regarding selection of an optimal configuration for processing parts. For multiparts reconfigurable manufacturing lines, such decisions are strongly influenced by the types of processes available, the relationships for sequencing the processes and the order of processing parts. Decisions may conflict, hence the decision making tasks must be carried out in a concurrent manner. This paper outlines an optimization solution technique for the MPP problem in reconfigurable manufacturing systems (RMSs). MPP is modelled in an optimization perspective and the solution methodology is provided through a metaheuristic technique known as simulated annealing. Analytical functions for modelling MPP are based on knowledge of processes available to the manufacturing system as well as processing constraints. Application of this approach is illustrated through a multistage parallel–serial reconfigurable manufacturing line. The results show that significant improvements to the solution of this type of problem can be gained through the use of simulated annealing. Moreover, the metaheuristic technique is able to identify an optimal manufacturing process plan for a given production scenario. Penerbit UTM Press 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12719/1/A%20metaheuristic%20approach%20to%20manufacturing%20process%20planning%20in%20reconfigurable%20manufacturing%20systems.pdf Musharavati, Farayi and Ismail, Napsiah and S. Hamouda, Abdel Magid Salem and Ramli, Abdul Rahman (2008) A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems. Jurnal Teknologi, 48 (A). pp. 55-70. ISSN 0127–9696; ESSN: 2180–3722 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/219 10.11113/jt.v48.219 |
| spellingShingle | Musharavati, Farayi Ismail, Napsiah S. Hamouda, Abdel Magid Salem Ramli, Abdul Rahman A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems |
| title | A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems |
| title_full | A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems |
| title_fullStr | A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems |
| title_full_unstemmed | A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems |
| title_short | A metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems |
| title_sort | metaheuristic approach to manufacturing process planning in reconfigurable manufacturing systems |
| url | http://psasir.upm.edu.my/id/eprint/12719/1/A%20metaheuristic%20approach%20to%20manufacturing%20process%20planning%20in%20reconfigurable%20manufacturing%20systems.pdf |
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