Is there a benchmark for energy in flexible job shop problem?
Best insight from top research papers
Yes, there are benchmarks for energy consumption in flexible job shop scheduling problems. Research has focused on minimizing energy consumption in scenarios like the Flexible Job Shop Scheduling Problem with sequence-dependent setup times and transportation times (FJSP-SDST-T) . Additionally, studies have addressed energy-efficient distributed flexible job shop scheduling problems (EDFJSP) by aiming to minimize both makespan and energy consumption . Novel algorithms like the Two-Individual-Based Evolutionary (TIE) algorithm have been proposed to minimize total energy consumption under Time-Of-Use electricity tariffs while maintaining high productivity . Furthermore, simulated annealing-based hyper-heuristics have been developed to address flexible job shop scheduling problems with stochastic job arrivals, showcasing improvements in average makespan compared to benchmark heuristics . These benchmarks and algorithms contribute to advancing energy-efficient scheduling solutions in flexible job shop environments.
Answers from top 5 papers
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| Papers (5) | Insight |
|---|---|
| Not addressed in the paper. | |
| The paper proposes a novel TIE algorithm for energy-efficient scheduling in flexible job shops, outperforming traditional methods on benchmark instances, focusing on minimizing total energy consumption under specific constraints. | |
| Not addressed in the paper. | |
| Yes, the MILP model in the research paper formulates energy benchmarks for the Flexible Job Shop Problem with transportation and sequence-dependent setup times to minimize energy consumption. | |
| Not addressed in the paper. |
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