Title :
Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm
Author :
Yildirim, Mehmet Bayram ; Mouzon, Gilles
Author_Institution :
Dept. of Ind. & Manuf. Eng., Wichita State Univ., Wichita, KS, USA
Abstract :
Energy is an expensive resource that is becoming more scarce with increasing population and demand. In this paper, a mathematical model to minimize energy consumption and reduce total completion time of a single machine is proposed, and a multiobjective genetic algorithm is utilized to obtain an approximate set of nondominated alternatives. Furthermore, dominance rules and a heuristic are proposed to increase the speed of the proposed genetic algorithm. Finally, the analytical hierarchical process is utilized to select a solution with some additional criteria.
Keywords :
approximation theory; decision making; energy consumption; genetic algorithms; minimisation; production planning; resource allocation; single machine scheduling; sustainable development; analytical hierarchical process; approximation; dominance heuristic; dominance rule; energy resource; multiple objective genetic algorithm; single-machine sustainable production planning; total completion time minimization; total energy consumption minimization; Energy consumption; Energy efficiency; Genetic algorithms; Mathematical model; Production planning; Sustainable development; Dominance rules; energy efficient scheduling; green manufacturing; multiple objective genetic algorithm; sustainable engineering;
Journal_Title :
Engineering Management, IEEE Transactions on
DOI :
10.1109/TEM.2011.2171055