ABSTRACT

This paper considers the problem of deciding disassembly order quantity in a disassembly system. Returned end-of-use/life (EOL) products are disassembled to retrieve reusable parts sold to secondary markets. For the problem, we suggest novel push and pull disassembly policy models by extending reverse economic order quantity models. The objective of the models is to minimise the costs of the disassembly setup, the disassembly operations and inventory holding, the scrapping of non-reusable parts, and backorder. We develop optimal equations and algorithms for the models and perform a case study of Korean automobile disassembly systems. We then conduct a series of sensitivity analyses based on real-world and reliable data and discuss possible applications of the push and pull policies. The results show that the pull policy gives better in terms of the total cost while the push policy is less insensitive to the disassembly setup cost.

摘要

本文研究了拆装系统中拆装订单数量的确定问题。返回的使用终止/寿命 (EOL) 产品将被拆卸，以回收出售给二级市场的可重复使用部件。针对这个问题，我们通过扩展逆向经济订货量模型，提出了新颖的推拉拆解政策模型。模型的目标是最大限度地减少拆卸设置、拆卸操作和库存持有、不可重复使用部件的报废和延期交货的成本。我们为模型开发最佳方程和算法，并对韩国汽车拆卸系统进行案例研究。然后，我们根据真实世界和可靠的数据进行一系列敏感性分析，并讨论推拉策略的可能应用。