Single-machine sustainable production planning to minimize total energy consumption and total completion time using a multiple objective genetic algorithm
Citation
Yildirim, M. B.; Mouzon, G. "Single-Machine Sustainable Production Planning to Minimize Total Energy Consumption and Total Completion Time Using a Multiple Objective Genetic Algorithm," Engineering Management, IEEE Transactions on , vol.PP, no.99, pp.1-13, 0
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.
Description
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