臺灣博碩士論文加值系統

本研究主要的目在結合資料庫管理系統、專家系統及模糊綜合評判模式，
借以建立訂單組裝型（Assemble-to-Order, ATO）主生產排程技術決策系
統。汽車和電腦為 ATO的典型產品，該類產品的一般特性是擁有大量最終
產品組合，市場競爭劇烈及產品生命週期日漸縮短等。如何提高產品性能
特色和降低生產成本，將是公司生存的關鍵。本研究所發展之決策系統可
提供生產主管隨時依市場需求變化、公司經營策略調整、產品結構形態變
更等因素，從現有主生產排程技術中機動地選擇一種最適合公司利益的主
生產排程方法。本研究以專家系統來架構決策系統的核心，以資料庫管理
系統提供生產規劃的基本資料，及儲存系統推論的中間結果和最終結論。
因為本系統所得到之專家知識多屬模糊性，所以本研究採用 Mamdani蘊含
的 MAX-MIN模糊推論模式來處理不確定性知識。綜合評判模式又稱多評準
決策（Multicriteria decision making） 分析，為近年來發展極快速之
評估技術，本研究採用此評判技術來選擇一種最適合公司利益的主生產排
程技術。另外，我們還以專家系統建構外殼 LEVEL 5 OBJECT結合 dBASE
III Plus 及 Clipper語言，在中文視窗環境發展主生產排程技術決策雛
形系統，以驗證決策系統之可行性及有效性。

The primary objective of this study is to integrate data base
system , expert system and fuzzy multicriteria decision making
method to implement a master production scheduling techniques
decision system(MPSTDS) for assemble-to-order(ATO) products.
Automobiles and personal computers are examples of ATO products
. The ATO company sells a wide variety of customized
products requiring some customer interface regarding
product specifications . Competition may exist among the
producers of similar products such that the firms'' sales
volumes may be seriously affected by variations in quality,
price,lead tile..etc. This paper proposes the MPSTDS to
support the manufacture manager who can dynamically
select the best suitable technique for designing a master
production scheduling that according to current marketing
demand , product structure type and company manufacturing
stategy. Multicriteria decision making bas been one of
rapid growing research areas in evaluation method . This
method cooperate with fuzzy inference used to determine the
best suitable technique for ATO firms. Additionally, this
study uses the expert system development shell - LEVEL 5
OBJECT , dBASE III Plus and CLIPPER lanauage to develop a
MPSTDS prototype system and to verify the MPSTDS. Keyword :
Master Production Scheduling , Fuzzy inference , Multicriteria
decision making