Variable Neighborhood Strategy Adaptive Search to Solve Parallel-Machine Scheduling to Minimize Energy Consumption While Considering Job Priority and Control Makespan

Variable Neighborhood Strategy Adaptive Search to Solve Parallel-Machine Scheduling to Minimize Energy Consumption While Considering Job Priority and Control Makespan

Environmental concerns and rising energy prices put great pressure on the manufacturing industry to reduce pollution and save energy. Electricity is one of the main machinery energy sources in a plant; thus, reducing energy consumption both saves energy costs and protects our planet. This paper prop...

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Bibliographic Details
Main Authors: Rujapa Nanthapodej, Cheng-Hsiang Liu, Krisanarach Nitisiri, Sirorat Pattanapairoj
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
variable neighborhood strategy adaptive search
differential-evolution algorithm
metaheuristic
parallel-machine scheduling
green scheduling
energy consumption
Online Access:https://www.mdpi.com/2076-3417/11/11/5311

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https://www.mdpi.com/2076-3417/11/11/5311

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