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題名 | 採用即時可允諾量機制之數位機上盒供應鏈之績效評估=Performance Evaluation of a Digital Set-Top Box Supply Chain Using Real-Time Available-To Promise Mechanisms |
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作者 | 呂博裕; 楊萱慧; 郭學美; Leu, Bor-yuh; Yang, Hsuan-hui; Kuo, Shiue-mei; |
期刊 | 中小企業發展季刊 |
出版日期 | 20090600 |
卷期 | 12 2009.06[民98.06] |
頁次 | 頁55-94 |
分類號 | 494.5 |
語文 | chi |
關鍵詞 | 即時可允諾量機制; 不確定性; 數位機上盒供應鏈; 模擬分析; Real-time ATP mechanism; Uncertainties; Digital set-top box supply chain; Simulation analysis; |
中文摘要 | 由於資訊科技開放架構的長足發展,使得資料整合程度更加提升,例如:SAP 或 PeopleSoft 等公司所提供之ERP 系統,皆承諾可以達到貫穿企業之資訊整合。因此, 當製造商面臨是否應接受一訂單之決策時,可使用較多資訊的可能性已大為提高,獲 致較高品質之決策。這些資訊架構可以將客戶直接整合進訂單履行流程中,並允許貫 穿供應鏈之前端與後端應用分享共同的觀點。實務上,當一客戶提出訂購要求時,即 時可允諾量必須根據系統資源之可用性,評估是否能在客戶所指定之交期前交貨,藉 以決定是否應接受該訂單。如果根據系統資源之可用性,可允諾量估計無法在客戶所 指定之交期前交貨,則製造商必須立即拒絕該訂單。本研究探討一典型的數位機上盒 供應鏈,供應鏈成員包括:物料/零件供應商、製造商、與客戶。客戶訂單抵達之後, 製造商根據可允諾量機制決定是否接受該訂單,如果是接受該訂單,則製造商會根據 訂單之需求進行生產作業,並在客戶所指定的交期之前將完成品運送到客戶處。本研 究提出一個以模擬為基礎之研究架構,以探討各實驗變數(包括:可允諾量機制、各種 不確定性等)對數位機上盒供應鏈之影響程度。本研究並以一個實際的數位機上盒供應 鏈為例子,以示範所提出的研究架構。範例之分析結果顯示,一般而言,若以總利潤 或被拒絕訂單比率為主要的績效指標,以可允諾量機制一(代表較鬆條件)表現較佳; 若以達交率或流程時間為主要的績效指標,則以可允諾量機制二或三(代表較嚴條件) 表現較佳。 |
英文摘要 | The proliferation of open IT architectures has allowed for increased compatible data integration. For example, ERP systems from vendors such as SAP or PeopleSoft, Inc. promise information compatibility and consolidation across the enterprise. Thus, when order acceptance decisions are being made, there is the potential to consider a greater amount of information allowing for better decision making. These information architectures directly integrate the customer into the fulfillment process, and allow front-end and back-end applications to share a common view across the supply chain. In practice, real-time Available-To-Promise (ATP) suggests that when a customer request is initiated, ATP determines the availability of system resource based on the customer requested due date. When considering availability, if an entire order cannot be filled it is rejected from the system. This study chooses a typical Digital Set-Top Box (DSTB) supply chain that includes the following members: materials/parts suppliers, manufacturer, and customers. When a customer request is initiated, the manufacturer will decide if the order is accepted based on real-time ATP. If the order is accepted, the manufacturer will produce the required products based on the customer requested due date. This study proposes a simulation-based research structure to evaluate the impact of experimental variables (including ATP mechanism, various uncertainties, etc.) on the performance of the DSTB supply chain. Finally, a real DSTB supply chain is used to demonstrate the research structure. Based on the results of the example, ATPM1 (i.e., less constraints) performs better with respect to the measure of total profit or the ratio of rejected orders, while ATPM2 or ATPM3 (i.e. more constraints) performs better with respect to the measure of fill rate or flow time. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。