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Reducing carbon emission by two dispatching rules for multi-objective flexible job shops

Gholamkhasi, A. and Syed Hassan, S. H. and Abdul Kadir, A. Z. (2019) Reducing carbon emission by two dispatching rules for multi-objective flexible job shops. Journal of Environmental Treatment Techniques, 7 (3). pp. 250-259. ISSN 2309-1185



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.

Item Type:Article
Uncontrolled Keywords:carbon emission, dispatching rules, environment
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:89650
Deposited By: Narimah Nawil
Deposited On:22 Feb 2021 09:44
Last Modified:22 Feb 2021 09:44

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