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Effect of variable carbon emission in a multi-objective transportation-p-facility location problem under neutrosophic environment

机译:中智环境下可变碳排放在多目标交通-p设施选址问题中的作用

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摘要

Several industries locate a pre-assigned number of facilities in order to determine a transportation way for optimizing the objective functions simultaneously. The multi-objective transportation-p-facility location problem is an optimization based model to integrate the facility location problem and the transportation problem under the multi-objective environment. This study delineates the stated formulation in which we need to seek the locations of p-facilities in the Euclidean plane, and the amounts of transported products so that the total transportation cost, transportation time, and carbon emission cost from existing sites to p-facilities will be minimized. In fact, variable carbon emission under carbon tax, cap and trade regulation is considered due to the locations of p-facilities and the amounts of transported flow. Thereafter, a hybrid approach is improved based on an alternating locate-allocate heuristic and the neutrosophic compromise programming to obtain the non-dominated solution. Additionally, the performance of our findings are evaluated by an application example. Furthermore, a sensitivity analysis is incorporated to explore the resiliency of the designed model. Finally, conclusions and further research areas conclude the paper.
机译:为了确定同时优化目标功能的运输方式,一些行业确定了预先分配的设施数量。多目标运输-p-设施位置问题是一种基于优化的模型,将多目标环境下的设施位置问题和运输问题相结合。这项研究描述了陈述的公式,在该公式中,我们需要寻找p-设施在欧几里得平面中的位置以及运输的产品量,以便从现有场所到p-设施的总运输成本,运输时间和碳排放成本将被最小化。实际上,由于p设施的位置和运输流量的原因,考虑了碳税,限额和贸易法规下的可变碳排放。此后,基于交替的定位-分配启发式和中智折衷编程,改进了混合方法,以获得非支配解。此外,我们的发现的性能将通过一个应用示例进行评估。此外,结合了敏感性分析以探索设计模型的弹性。最后,结论和进一步的研究领域对本文进行了总结。

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