產品全球化以及消費者多樣化與即時化之需求，驅使即時、多樣且彈性化的生產要求，因而產生許多供應鏈的整合策略，形成原料、製造與通路緊密整合的供應鏈運作與經營管理商業模式。已往的供應鏈研究模式，假設各供應鏈環節：原料供給、成品製造以及運輸配送的營運績效，皆未受時間點或時間點的製造量或運輸量的影響；然而，兩者是存著相互相依的緊密關係。本研究提出時間相依的動態供應鏈營運規劃；亦即，在供應鏈各環節間的營運績效是受時間與各時間之營運數量所影響條件下，研擬原料投入、成品製造以及運輸配送的最適策略，以總營運成本最小，滿足訂單或消費者時間的要求。
本研究建構以成本最小為目標的最佳化模式，形成一個非線性限制式，但具有凸集合特性之凸非線性規劃問題(convex programmming)。研究中設計三個測試供應鏈結構，進行數值分析，包括：(1)兩階層單一供應商供應鏈，亦即單一原料供應商以及單一製造商角色；(2)兩階層兩供應商供應鏈，亦即兩家供應商以及一家製造商，以及(3)三階層供應鏈，亦即兩家供應商，一家製造商以及一家配銷商。研究分別以模擬，以及最佳化計算三個供應鏈結構。
透過模式計算結果，以存貨成本與營運成本最小為目標，各種程序的策略都必須考慮程序之中的流量，但是過於顧慮尚未完成的流量將可能造成過多的存貨成本，因此透過最佳化呈現的結果，穩定的投入策略不全然是最好的策略，應當採用在時間範圍內逐步提高投入的量並逐步減少的策略較為合適。

In order to satisfy variety and global demands, so many globalizations of operation strategies are developed on supply chain. The researches in the past of supply chain models assume every segment of supply chain:The efficiency of material supply, production and distribution do not consider the relationship between the time and production quantities or transportation quantities. However, two elements are very important to each other. Therefore, this research constructs the dynamic supply chain operational planning with time-dependent time lag. In other words, try to make the best strategy that control material supply, production and distribution to do the cost down, and consider the efficiency of operation being concerned with time and quantities in the time on supply chain.
This research constructs the models to solve the minimize programming. The models are convex programming of nonlinear programming. In order to execute the methodology analyses, designs three structures of supply chain: (1) two stages one supplier, makes up of the supply chain has one material supplier and manufacturer. (2) two stages two suppliers, makes up of the supply chain has two material suppliers and one manufacturer. (3) three stages supply chain, makes up of the supply chain has two material suppliers, one manufacturer and distributer. The research uses simulation and optimal programming to compute three structures of supply chain and find the best strategy that control the input and output quantities to satisfy the demands and minimize total cost.

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