First Name
Xinyue
Last Name
Wang
Dataset Entries from this Author
This study explores a bi-objective multi-agent flow shop scheduling problem with ToU tariffs and customer value weight, representing OEM benefit ratios. The goal is to optimize weighted customer satisfaction and electricity cost. A bi-objective mixed integer model with valid inequalities is proposed. For equal weights, an ε-constraint framework with a new branch and bound (B&B) algorithm finds the Pareto front. For general cases, a multi-objective bacterial foraging optimization (MO_BFO) algorithm is applied.
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<p>Time-of-use (ToU) tariffs flexibly offer cheaper electricity prices to industrial and residential users during off-peak periods, encouraging them to shift their peak electricity demands in valley periods. Flow Shop Scheduling (FSS) model is one of the most prevalent models in manufacturing. To explore the significant role of ToU tariffs in manufacturing, this study addresses a novel bi-objective FSS problem under ToU tariffs.</p>
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