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

Abstract

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.