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  • 學位論文

以穩健最佳化分析易腐物流規劃的問題

Robust Optimization Approach to Perishable Commodities Logistics

指導教授 : 王小璠
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摘要


近年來,由於世界經貿體制趨向全球化及自由化發展,台灣農業發展面臨國際農品的競爭壓力,加上食品加工業在台灣加入WTO後,市場競爭更為劇烈,競爭的優劣決定於資訊力與知識,唯有掌握內外資訊,透過科技創新及現代化經營模式,才能跟上市場瞬息萬變的腳步,充分掌握市場的變動性及未來需求。本研究針對此問題,分別提出一單期及多期的混合整數規劃模型,利用穩健規劃處理農產品加工業的物流規劃,考慮最大化總利潤,找出最佳的半成品及罐裝食品運輸流量及製造量,並同時滿足不確定性的罐裝食品需求。最後將以一例說明所提出模型的適用性。

並列摘要


Agriculture has enhanced both the industrial and the economic development of Taiwan. Although its economic contributions have declined over the years, agriculture remains essential to some people’s livelihoods. In today’s highly competitive world market, companies that only offer agricultural products with high quality and added value can survive. Food processing adds value to farm products, lengthens their shelf life, and widens their distribution area. Considering the uncertain global market demand and the high production cost of packed products, we propose a mixed-integer robust linear programming model under both single-period and multiple-period demands to enable logistics to be as flexible as possible and to cope with the possible risks. The objective is to find the optimal production and inventory levels for the products before and after packing for maximum total profit. Two simple numerical examples are presented to illustrate our model.

參考文獻


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