Reducing carbon emission by two dispatching rules for multi-objective flexible job shops
Manufacturing direct or indirect is accountable for almost one-third of carbon emission. Carbon eventually has trapped in the atmosphere in the shape of Co2; the dangerous gas that causes climate change and threatens human life. On the other hand, albeit the significant share of flexible job shops i...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Dorma Journals
2019
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/89650/1/ArashGholamkhasi2019_ReducingCarbonEmissionbyTwoDispatching.pdf http://eprints.utm.my/id/eprint/89650/ |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | Manufacturing direct or indirect is accountable for almost one-third of carbon emission. Carbon eventually has trapped in the atmosphere in the shape of Co2; the dangerous gas that causes climate change and threatens human life. On the other hand, albeit the significant share of flexible job shops in manufacturing systems; few studies have been executed to overcome the carbon emission issue. Thus two fast algorithms called MCT and MCE have been introduced to reduce carbon emission along C-max and total machine workload. Then the results have been examined alongside some well-known meta-heuristic algorithms. Investigating results have shown a reasonable standard deviation; which proves a proper balance in production lines. Furthermore, for most instances, a minimum workload has been reported. Moreover, the completion times were acceptable, as well. Then reported data guaranteed the quality of the offered algorithm regarding time and accuracy. Furthermore, implementing a random operator or hybridizing these methods with meta-heuristics might enhance the performance. |
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