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A developed genetic algorithm for solving the multi-objective supply chain scheduling problem

机译:一种求解多目标供应链调度问题的发达的遗传算法

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摘要

Purpose - Proper management of supplies and their delivery greatly affects the competitiveness of companies. This paper aims to propose an integrated decision-making approach for integrated transportation and production scheduling problem in a two-stage supply chain. The objective functions are minimizing the total delivery tardiness, production cost and the emission by suppliers and vehicles and maximizing the production quality.
机译:目的 - 妥善管理和其交付极大地影响了公司的竞争力。 本文旨在提出两级供应链中综合运输和生产调度问题的综合决策方法。 客观功能最大限度地减少供应商和车辆的总交付迟到,生产成本和排放,并最大限度地提高生产质量。

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