隨著資源的短缺以及環境的惡化製造業已能採納並接受循環經濟與節能減碳的觀念。而且由於舊品的回收再製可提升企業的附加價值並對環境有正向幫助,使得它成為解決資源與能源短缺的重要方法之一,並且日益受到關注。因此本論文針對製造與再製造混合系統的採購與生產規劃問題進行相關的研究。研究中將回收品依據揀選與測試之結果分類成不同的品質水準。然後本研究提出兩個具碳排放成本及循環經濟考慮的買賣整合供應鏈存貨模式(供應商管理存貨與零售商管理存貨)。本研究研析不同的回收品品質水準以及碳排放成本對這兩種存貨模式的影響,並提出可求解最佳採購、再製造與運輸策略的演算法。本研究也舉兩個實例進行模式應用說明與敏感度分析,並針對這兩個模式研發電腦化的決策支援系統以供實務應用。最後本研究也針對這兩個模式的總成本進行比較分析。
With the shortage of resources and environmental degradation, manufacturing industry has embraced the concept of circular economy and carbon reduction. Recycling and remanufacturing of used products as a solution to the shortage of resource and energy is increasingly gaining attention because of its value-added potential and environment-friendly features. In this thesis, we study the acquisition and production planning problem for a hybrid manufacturing/remanufacturing system. The returned products are classified into different quality levels according to the testing results after sorting. Two integrated vendor–buyer supply chain inventory models (vendor managed inventory (VMI) and retailer managed inventory (RMI)) with carbon emission costs and circular economy are proposed. We investigate the impact of the quality level of recycled products and carbon emission costs on the two models. Two optimal solution procedures are proposed to optimize the purchasing, remanufacturing and transportation strategies. Two numerical examples and sensitivity analyses are performed to observe system characteristics under various parameter situations. Two computerized decision support systems also developed. Finally, we also comparatively analyze the total inventory cost between VMI and RMI models.