An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production
Even though research in flow shop production scheduling has been carried out for many decades, there is still a gap between research and applicationespecially in manufacturing paradigms such as one-of-a-kind production (OKP) that intensely challenges real time adaptive production scheduling and cont...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/39811 |
| _version_ | 1848755694993408000 |
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| author | Li, Wei Nault, B. Xue, D. Tu, Y. |
| author_facet | Li, Wei Nault, B. Xue, D. Tu, Y. |
| author_sort | Li, Wei |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Even though research in flow shop production scheduling has been carried out for many decades, there is still a gap between research and applicationespecially in manufacturing paradigms such as one-of-a-kind production (OKP) that intensely challenges real time adaptive production scheduling and control. Indeed, many of the most popular heuristics continue to use Johnson's algorithm (1954) as their core. This paper presents a state space (SS) heuristic, integrated with a closed-loop feedback control structure, to achieve adaptive production scheduling and control in OKP. Our SS heuristic, because of its simplicity and computational efficiency, has the potential to become a core heuristic. Through a series of case studies, including an industrial implementation in OKP, our SS-based production scheduling and control system demonstrates significant potential to improve production efficiency. © 2010 Elsevier Ltd. All rights reserved. |
| first_indexed | 2025-11-14T09:00:23Z |
| format | Conference Paper |
| id | curtin-20.500.11937-39811 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:00:23Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-398112018-03-29T09:07:45Z An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production Li, Wei Nault, B. Xue, D. Tu, Y. Even though research in flow shop production scheduling has been carried out for many decades, there is still a gap between research and applicationespecially in manufacturing paradigms such as one-of-a-kind production (OKP) that intensely challenges real time adaptive production scheduling and control. Indeed, many of the most popular heuristics continue to use Johnson's algorithm (1954) as their core. This paper presents a state space (SS) heuristic, integrated with a closed-loop feedback control structure, to achieve adaptive production scheduling and control in OKP. Our SS heuristic, because of its simplicity and computational efficiency, has the potential to become a core heuristic. Through a series of case studies, including an industrial implementation in OKP, our SS-based production scheduling and control system demonstrates significant potential to improve production efficiency. © 2010 Elsevier Ltd. All rights reserved. 2011 Conference Paper http://hdl.handle.net/20.500.11937/39811 10.1016/j.cor.2010.05.002 restricted |
| spellingShingle | Li, Wei Nault, B. Xue, D. Tu, Y. An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production |
| title | An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production |
| title_full | An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production |
| title_fullStr | An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production |
| title_full_unstemmed | An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production |
| title_short | An efficient heuristic for adaptive production scheduling and control in one-of-a-kind production |
| title_sort | efficient heuristic for adaptive production scheduling and control in one-of-a-kind production |
| url | http://hdl.handle.net/20.500.11937/39811 |