题名 |
Enhance Order Promising With ATP Allocation Planning Considering Material and Capacity Constraints |
并列篇名 |
同時考慮產能與物料限制之可允諾量配置於訂單允諾規劃 |
DOI |
10.29977/JCIIE.200507.0002 |
作者 |
林則孟(James T. Lin);陳君涵(Juin-Han Chen) |
关键词 |
訂單允諾 ; 可允諾量 ; 顧客指定用料 ; 物料相容性 ; TFT-LCD產業 ; order promising ; available-to-promise ATP ; customer's preference material ; material compatibility ; TFT-LCD manufacturing |
期刊名称 |
工業工程學刊 |
卷期/出版年月 |
22卷4期(2005 / 07 / 01) |
页次 |
282 - 292 |
内容语文 |
英文 |
中文摘要 |
由主生產排程(master production schedule; MPS)所計算出之可允諾量(Available-to-Promise; ATP),是指尚未被用於承諾顧客訂單的成品存貨量以及主生產排程的計劃生產量,據以回覆顧客訂單可允諾之數量與交期。此訂單允諾機制採用先到先服務(First-Come-First-served; FCFS)之原則,將所有訂單之重要度視為一致,且只考量成品之可允諾量,因此僅適用於存貨式生產模式(Make-to-stock; MTS)。然而,由於目前大量客製化成為顧客訂單需求之趨勢,製造商逐漸將其生產模式轉變為接單後組裝的生產模式(Assemble-to-Order; ATO)或接單後製造的生產模式(Make-to-Order; MTO),以滿足來自客戶需求端的要求限制,例如指定產品用料供應商、指定生產廠區等限制。因此本研究將以TFT-LCD產業為例,探討在ATO或MTO生產模式下之訂單允諾規劃,考量接單後之物料與產能等製造資源之特性與限制如:顧客指定用料、顧客指定廠區、物料相容性等,以及訂單產品之利潤與顧客之重要程度等,利用混整數規劃模式(mixed integer linear programming; MILP),將產能與物料之生產製造資源進行最佳化之配置規劃。 |
英文摘要 |
Available-to-promise (ATP) calculating from master production schedule (MPS) exhibit availability of finished goods that can be used to support customer order promising. This order promising mechanism is adapted in MTS (make-to-stock) production model and all orders are treated the same on first-come-first-served policy. However, increasingly mass customization results in production model gradually transfers from MTS to ATO (assembly-to-order) or MTO (make-to-order) in order to fulfill the requests from customers such as customer's preference materials or specifications for the ordered products. In ATO or MTO model, the manufacturing resource such as materials and capacity after order penetration point should be checked and allocated for order promising. Moreover, mass customization also drives the trend of customer demand to segmentation and prioritization according to product profit, sales growth potential, contracts or the relationships with customers. Therefore, this research proposes one order promising mechanism that applies mixed integer linear programming (MILP) model to prioritize allocating manufacturing resource for high profit products or important customers and to consider material and capacity constraints after order penetration point. Furthermore, this order promising mechanism takes thin film transistor liquid crystal display (TFT-LCD) manufacturing as illustration for these material and capacity constraints after order penetration point. |
主题分类 |
工程學 >
工程學總論 |
参考文献 |
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