Designing Individual Material Recovery in Reverse Supply Chain Using Linear Physical Programming at the Digital Transformation Edge
Designing Individual Material Recovery in Reverse Supply Chain Using Linear Physical Programming at the Digital Transformation Edge
复制标题
在数字化转型边缘使用线性物理编程设计逆向供应链中的单个材料回收
DOI：
10.11221/jima.72.259
复制
发表时间：
2022
影响因子：
--
通讯作者：
Aya Ishigaki
中科院分区：
文献类型：
--
作者：
Hiromasa Ijuin;Yuki Kinoshita;Tetsuo Yamada;Aya Ishigaki
为了通过回收产品来节省单个原始材料，制造公司必须采用新的信息技术来评估其管理对环境的影响。数字化技术的转型采用被称为数字化转型（DX）， DX技术可用于数字化环境问题的逆向供应链管理策略。在对逆向供应链使用DX技术之前，决策者（DM）无法根据其状态了解报废（EOL）产品的材料类型，直到它们被回收。然而，使用DX技术，DM能够提前了解EOL产品数据，例如EOL产品中每种材料的数量和数量。因此，DX技术的使用使DM能够设计既环保又经济的逆向供应链网络。在将数字化转型应用于供应链网络时，供应链管理者必须削减成本并评估环境影响。为了平衡环境和经济问题，DM可以使用线性物理规划（LPP）等多准则决策的求解方法来设计逆向供应链网络。使用LPP算法，DM可以计算出具有权衡关系的目标函数的协调权值。本研究将LPP作为DX时代的一种支持方法，设计一个环保经济的个体物料回收的逆向供应链网络。本研究的学术贡献在于可以识别目标函数对单个材料类型的影响，而实际贡献在于它使我们能够在LPP数值实验中找到基于从回收的EOL产品中收集的单个材料的反向网络解。
In order to save individual virgin materials by recycling products, manufacturing companies must adopt new information technology to evaluate the environmental impact of their management. The transformative adoption of digital technology is referred to as digital transformation (DX), and the DX technique can be used to digitalize reverse supply chain management strategies for environmental issues. Before the use of the DX technique for a reverse supply chain, a decision maker (DM) was not be able to know the material types of the end-of-life (EOL) products based on their status until they had been recycled. However, using the DX technique, the DM is able to understand EOL product data such as the number and the amount of each material within the EOL products in advance. Therefore, the usage of the DX technique enables the DM to design the reverse supply chain network not only environmentally-friendly but also economical. In applying DX to supply chain networks, supply chain managers must cut costs and evaluate environmental impacts. In order to balance environmental and economic concerns, the DM can design a reverse supply chain network using a solving method for multi-criteria decision making such as linear physical programming (LPP). Using the LPP algorithm, the DM can calculate a harmonized weight for objective functions with a trade-off relationship. This study designs a reverse supply chain network for individual material recovery environmentally-friendly and economical by using LPP as one of the support methods in the era of DX. The academic contribution of this study is that the effect of objective functions for individual material types can be identified, and the practical contribution is that it enables us to find a reverse network solution based on individual materials being collected from EOL products recycled throughout numerical experiments with LPP.