本研究為有效提升半導體產業的製造效率與產品達交率，檢視其現有生產排程規劃方法。發現目前業界作法偏向供應鏈各段各自排程，僅依靠排程人員之歷史經驗與知識，盡量考慮上下游的關係。由於日漸複雜的供應鏈體系，且半導體產業供應鏈各段目標與需求各不相同，排程人員難以周詳考慮如此多的細節，使得規劃生產排程困難度極高。又因排程人員的過去經驗通常太過抽象，很難成為人人皆可使用的生產計畫規劃準則。 即使有些經驗可以化作調度規則，其做法與對應生產規劃目標的適配性與合理性未被全面檢驗。故本研究評估供應鏈各段排程人員邏輯合理性與整理其調度規則作法，並化為具體的數學模型，利用此系統化的計畫規劃架構，可供決策人員釐清上下游供應鏈關係，並在計畫調整時能有效快速達成溝通共識。另一方面，本研究將此數學模式利用線性規劃軟體Gurobi，自動化求出各段生產計畫報表，大幅縮減計畫流程所花費的時間與人力，並且提出延伸模型建議訂單接單狀況的修改方向，解決在供不應求情境時，市場端與製造端考量要素不一致，導致過多的計畫迴圈，使得計畫製作時間延宕。

To improve semiconductor industry manufacturing efficiency and order fill rate, we check the methods of production plan. Because the goals and constraints of different semiconductor supply chain stages are very different, each stage tends to schedule its own production plan and try to take into account the goals and constraints of other stages based on production planners’ past experiences. However, these experiences are often too vague to be a clear planning rules and the problem is too complicate for the planner to consider thoroughly. Also, it is hard for other planers to follow their methods. Even though some of the experiences can be documented and become clear scheduling rules, these rules are not necessary reasonable. In this research, we document production planner’s past experiences to identify and validate these planning rules. We construct a mathematic model by the planning rules to help the decision makers consider the whole supply chain relationship in a systemic way. On the other hand, we use linear programming software Gurobi to generate the results of plans automatically. We can get appropriate solutions for each plan and reduce the waste of time and labors. Besides, we have extension models to adjust the order situations when the demand of product is higher than the supply one. We make it possible to integrate between the market-end and manufacturing-end to avoid revising the plan repetitively.

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