| 摘要: | 由於全球化的影響，環境的變動越來越快速，傳統的以單一企業或單一國家為主的供應鏈管理與運籌管理的方式不再適用，許多研究開始著重在全球供應鏈管理與全球運籌管理的議題上。而其中，生產與儲運運籌計劃是整個運籌體系中的一個重點，如何讓採購、生產、配送、銷售等功能相互配合，以消除供應鏈中的瓶頸，關鍵就在於是否有做到良好的生產與儲運運籌計劃。 而從過去的研究在探討相關議題上，或多或少都有些不足之處，具有可以改善的空間。因此本研究將基於規則式規劃的理論，以最小化成本為目標，在多期、多產品、多生產基地、多配銷中心以及多位顧客的情境下，發展生產與儲運運籌計劃的演算法。 本研究將演算法以Visual C++ 2005的環境建置，並設計11個不同規模的案例進行測試，並將11個案例執行的結果與最佳化軟體進行比較，驗証解法在求解品質與求解時間上的效果。未來可提供決策者在短時間內，以最具成本效益的方式，制訂生產與儲運運籌計劃。 As the impact of globalization, the environment changes more rapidly, the traditional single enterprise or a single country-based supply chain management and logistics management approach are no longer applicable. Many studies have begun to focus on global supply chain management and global logistics management. In this issue, the production, storage and transportation plan in the entire logistics system is important topic. The key to make procurement, manufacturing, distribution, sales and other functions complement with each other to eliminate bottlenecks in the supply chain is whether there has a good production, storage and transportation logistics plan. From the previous studies which investigate the relevant issues, more or less, there have something to improve. In this study, we use the rule-based planning to develop a production, storage and transportation logistics plan algorithm, to minimize the cost in the scenarios of multi-phase, multi-product, multi-plant, multi-distribution centers and a number of customers. This study uses Visual C++ 2005 to write a program and test it by designing 11 cases in different scales of the problem. Then the results of 11 cases are compared with optimized-software to verify the benefit of quality and speed. In the future, we hope this program can be a quick and cost-benefit way to make production, storage and transportation logistics plan for the decision makers. |
