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首页> 外文期刊>International journal of management science and engineering management >A new robust optimization model under uncertainty for new and remanufactured products
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A new robust optimization model under uncertainty for new and remanufactured products

机译：不确定性下新产品和再制造产品的新鲁棒优化模型

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摘要

Owing to the rapid growth of environmental and managerial issues, remanufacturing of products has emerged as a significant topic. The main focus of this paper is on the uncertainty in a closed-loop supply chain network, and a robust optimization technique is presented to overcome it. In this regard, an uncertain interval-based robust optimization model with two distinct demand streams is proposed; simultaneously, the uncertainty of shortage and penalty costs are taken into account for both new and remanufactured products, which have distinguished behaviors. To illustrate the preference of the proposed robust model, the optimality of deterministic and robust optimization models is examined in different test problems. The solution reveals that the proposed methodology performs very well in terms of the quality of the solutions obtained.
机译：由于环境和管理问题的迅速增长，产品的再制造已成为一个重要的话题。本文的主要重点是闭环供应链网络中的不确定性，并提出了一种鲁棒的优化技术来克服它。为此，提出了一种基于不确定区间的鲁棒优化模型，该模型具有两个不同的需求流。同时，对于新产品和再制造产品，都将短缺和惩罚成本的不确定性考虑在内，这些新产品具有出色的行为。为了说明所提出的鲁棒模型的偏好，在不同的测试问题中研究了确定性和鲁棒优化模型的最优性。该解决方案表明，所提出的方法论在所获得解决方案的质量方面表现很好。

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