Optimization of Home Appliance Recycling System Simultaneously Considering Inventory Storage in External Warehouses and the Sale and Disposal of Products

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  • 外部倉庫での在庫保管と生産物の売却・廃棄を同時に考慮した家電リサイクルシステムの最適化
  • ガイブ ソウコ デ ノ ザイコ ホカン ト セイサンブツ ノ バイキャク ・ ハイキ オ ドウジ ニ コウリョ シタ カデン リサイクル システム ノ サイテキカ

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Abstract

<p>In recent years, the awareness of environmental issues has increased both in Japan and overseas. Although there are various approaches to environmental problems, the waste recycling rate is increasing year by year. This study is a case study that focuses on companies that specialize in recycling used home appliances. The target companies collect the used home appliances, store them in external warehouses under different types of contracts, dismantle them, and sell and dispose of their parts. The series of operations is complicated because the amount of used home appliances collected fluctuates greatly depending on the season. Accordingly, basing operations only on the experience and intuition of employees may cause unnecessary costs. Therefore, in this study, we propose and optimize a model that comprehensively considers the operations of a recycling center. The objective function of the proposed model is profit maximization taking into account the sales of valuable resources, waste disposal costs, transportation costs between the recycling center and the external warehouse, and storage costs in the external warehouse. Numerical experiments have shown that the proposed model can increase profits by approximately 1.5% compared to partial optimization, which focuses on some of the tasks that exist in previous studies. In addition, it was shown that the proposed model can increase profits by approximately 6.5% compared to the actual values of the target companies. Furthermore, we conducted a sensitivity analysis on the amount of used home appliances received and the processing capacity of the recycling center. As a result, it is shown that it is extremely important to receive the appropriate amount according to the processing capacity, and that corporate management is required to make an appropriate investment in the processing capacity.</p>

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