本研究的主要目的是發展轉化型煉油廠中的五項芳香烴族化學品(即苯、甲苯、混合二甲苯、對位二甲苯與鄰位二甲苯)的供應鏈生產規劃模式。我們首先發展出一個確定性的數學規劃模式，其中包含相互關聯的反應程序模組、分離程序模組與儲槽模組，可在固定的供應量或需求量限制下決定出多個時期的最佳原物料採購量、中間油料庫存量、各單元煉量以及產品庫存量。接下來我們進一步將前述模式修改成具有不確定參數的隨機性規劃模式，利用此模式可發展包括原油供應與客戶需求不穩定情況下的生產規劃策略；此外我們還引入可用度的概念，據以訂定出生產工場出現非預期停俥時所需因應的生產規劃以及維修排程策略。最後，我們將所建立芳香烴族化學品供應鏈的不確定性數學規劃模式應用在幾個實際上可能發生的情境上。

The scope of this study aims at the supply chain of five main products in a typical conversion refinery, i.e., benzene, toluene, mix-xylene, ortho-xylene, and para-xylene. A deterministic mixed integer linear program (MILP), which includes a large number of interconnected reaction models, separation models, and storage models, has been constructed first under given amounts of raw-material supplies and product demands to coordinate various planning tasks for optimizing the supply-chains performance. The deterministic MILP model can be solved to determine the proper procurement strategy of raw-material and products, throughput of processing units, and the inventories of intermediates and final products, etc. The above-mentioned deterministic model has also been modified into a stochastic one to take into account of uncertain feed supplies and product demands. Furthermore, by incorporating the concept of availability, the optimal planning and maintenance strategies can be devised when the risk of unexpected shutdown is significant. Several realistic case studies have been adopted in this work to demonstrate the utility of proposed approach.

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