隨著產品生命週期的縮短以及產品多樣性和客製化的需求日漸增加，導致了生產製造型態的變化。過去的製造策略主要以經濟規模為依歸，而新的製造策略在考慮到整體趨勢與潮流的變化，大量客製化(Mass customization, MC)成為大量生產策略外的另一個新方向。
本研究的主要目標在探討大量客製化設計與製造資訊平台之建置，包含消費者的客製化需求之收集與產品客製化資訊平台之建置、大量客製化下供應鏈資訊同步以及工程資訊即時化與智慧化等相關問題，並說明如何建立以代理人為基之大量客製化資訊服務平台(Agent based Mass Customization Information Service Platform, AMCISP)。本研究之內容共分為三部分，首先以流程分析方法利用斐氏圖(Petri-Net)建立現行製造系統之流程模型。並透過分析現行模式之結果提出大量客製化服務流程。第二部分則針對大量客製化服務流程的資訊需求進行分析，以提升資訊流動的即時性與正確性為目標，並提出大量客製化之資訊平台。從資訊流的觀點，探討消費者客製化需求的擷取與傳遞，以及製造資訊回饋與透通性之問題。第三部分則在探討大量客製化下供應鏈之自動化與智慧化等問題，以供應鏈協同運作為前提，運用智慧型代理人技術，建立資訊傳遞溝通的機制，並透過RFID技術的導入，建構即時自動化資訊收集系統，進而降低大量客製化製程管理的複雜度。最後則以一自行車客製化案例作為系統之驗證，展示客戶需求之擷取過程，並針對使用者需求與車架選用參數對應、相關零配件之選配以及後續製造資訊平台之運作狀況等進行說明。
本研究之價值，在於發展大量客製化的製造資訊管理平台以及建構的方法論。以流程分析的手法與資訊系統分析之方法，分析大量客製化資訊平台之需求，導入代理人系統與RFID技術，使得企業將來執行大量客製化時所產生的管理問題得以解決，並對於企業因應未來新型態的製造模式有直接的效益。

The production model is heading from mass production toward mass customization in these days. Due to the shorter product lifecycle, the demand of product customization and variety is increasing, and which leads the production model to a new and chanllengin direction.
This research dedicate on development a mass customization information platform to support comsumers on customization process and suppliers on manufacturing activities as well. This platform provides functions to coordinate different behaviors including comsumer requirment collection, purchase order tranformation, purchase order management and suppliers manufacturing execution by employing the multi-agents based system which is called "Agent based Mass Customization Information Service Platform (AMCISP)". The content of this research can be divided into three parts. To be more specific, the first part of this reseach is focused on modeling of the mass production and custmization process and the associated analysis done by using Petri-Net. The process model came from the process analysis named as “As-Is process model”. Then, the mass customization service process is proposed based on the results of As-Is process analysis. The process model is so-called “To-Be process model”. The second part of this research is focused on the information requirment analysis which is mainly extracted from the To-Be process model. The following part of this reseach describes the implementation details of the AMCISP such as the intelligent agent system architecture, communication models, and collabortation behaviors. In addition, the RFID technology is involved for the improvement of data acquisition effectiveness in the distributed operation. A new application model of RFID systems in manufacturing environment is presented in this stage. Finally, a customization bicycle scenario is used to demostarte the customization requirements collection process, automatic parts selection and the execution detail of the AMCISP.
The contributions of this research are developing the new methodology for constructing an information platform to support the mass customization manufacturing, and a new distributed mechanism of monitoring the manufacturing process among outsourcing partners in real time using agent technology.

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