回收等级如何才经济?MILP 和进化算法在不确定需求下多式联运网络中的应用

Rizwan Shoukat
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摘要

本研究旨在规划和评估使用优质材料和回收材料生产四层双面板的物流成本。本研究的实际数据来自亚洲最大的造纸和纸板行业之一。考虑到与原材料供应、加工和存储相关的约束条件,通过开发混合整数线性规划(MILP)模型来制定双目标问题。根据ε支配的概念,应用元启发式优化技术来平衡相互冲突的目标,以应对现实世界中复杂的运输问题,从而便于决策者在选择原材料时做出最明智的决策。调查结果表明,在四层双面板供应链中,原级材料的成本比回收纤维高 71%。此外,这项研究还可以通过评估原生级和回收级运输的环境方面进行扩展。此外,还可以通过调查公路、水路、铁路和航空等各种运输方式,进一步缩小原级材料的物流范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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How Recycled Grade is Economical? An Application of MILP and Evolutionary Algorithms in Intermodal Networks Under Uncertain Demand

This study seeks to plan and evaluate the cost of the logistics in manufacturing tetra duplex board using prime grade and recycled materials. The real-world data for this study is obtained from one of the largest paper and board industries in Asia. The bi-objective problem is formulated by developing a mixed integer linear programming (MILP) model considering the constraints related to raw material supplies, processing, and storage. The metaheuristic optimization techniques are applied based on the concept of epsilon dominance to balance the conflicting objectives to counter the complex problem in the real world of transportation for the ease of the decision-makers to make the best-informed decisions in the selection of raw material. The investigation results indicate that the cost of prime-grade material in the tetra duplex board supply chain is 71 percent higher than recycled fiber. Furthermore, this study can be extended by evaluating the environmental aspects of prime and recycled-grade transportation. Moreover, the logistics of the prime grade can further be narrowed down by investigating it in various modes of transportation such as highways, waterways, rail, and air.

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