Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem
This thesis investigate a complex real world job shop scheduling / rescheduling problem, in which the presence of uncertainties and the occurrence of disruptions are tackled to produce efficient and reliable solutions. New orders arrive every day in the shop floor and they have to be integrated in t...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2013
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| Online Access: | https://eprints.nottingham.ac.uk/13054/ |
| _version_ | 1848791639810637824 |
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| author | Moratori, Patrick |
| author_facet | Moratori, Patrick |
| author_sort | Moratori, Patrick |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This thesis investigate a complex real world job shop scheduling / rescheduling problem, in which the presence of uncertainties and the occurrence of disruptions are tackled to produce efficient and reliable solutions. New orders arrive every day in the shop floor and they have to be integrated in the existent schedule. Match-up algorithms are introduced to collect the idle time on machines and accommodate these newly arriving orders. Their aim is to obtain new schedules with good performance which are at the same time highly stable, meaning that they resemble as closely as possible the initial schedule. Subsequently, a novel approach that combines these algorithms with a fuzzy robust scheduling system is proposed. The goal is to associate an effective repairing mechanism with the production of initial robust schedules that are able to facilitate the accommodation of future disruptions. Statistical analyses reveal that match-up algorithms are effective repairing strategies for managing complex disruptions, in which high quality stable schedules are delivered. Moreover, their combination with fuzzy robust scheduling has a positive effect on responding to these disruptions leading to even more reliable solutions in a real world dynamic and uncertain shop floor. |
| first_indexed | 2025-11-14T18:31:43Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-13054 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:31:43Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-130542025-02-28T11:22:52Z https://eprints.nottingham.ac.uk/13054/ Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem Moratori, Patrick This thesis investigate a complex real world job shop scheduling / rescheduling problem, in which the presence of uncertainties and the occurrence of disruptions are tackled to produce efficient and reliable solutions. New orders arrive every day in the shop floor and they have to be integrated in the existent schedule. Match-up algorithms are introduced to collect the idle time on machines and accommodate these newly arriving orders. Their aim is to obtain new schedules with good performance which are at the same time highly stable, meaning that they resemble as closely as possible the initial schedule. Subsequently, a novel approach that combines these algorithms with a fuzzy robust scheduling system is proposed. The goal is to associate an effective repairing mechanism with the production of initial robust schedules that are able to facilitate the accommodation of future disruptions. Statistical analyses reveal that match-up algorithms are effective repairing strategies for managing complex disruptions, in which high quality stable schedules are delivered. Moreover, their combination with fuzzy robust scheduling has a positive effect on responding to these disruptions leading to even more reliable solutions in a real world dynamic and uncertain shop floor. 2013-07-15 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/13054/1/thesis.pdf Moratori, Patrick (2013) Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem. PhD thesis, University of Nottingham. fuzzy algorithms fuzzy scheduling job shop printers sherwood press scheduling problem |
| spellingShingle | fuzzy algorithms fuzzy scheduling job shop printers sherwood press scheduling problem Moratori, Patrick Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem |
| title | Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem |
| title_full | Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem |
| title_fullStr | Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem |
| title_full_unstemmed | Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem |
| title_short | Match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem |
| title_sort | match-up strategies and fuzzy robust scheduling for a complex dynamic real world job shop scheduling problem |
| topic | fuzzy algorithms fuzzy scheduling job shop printers sherwood press scheduling problem |
| url | https://eprints.nottingham.ac.uk/13054/ |