以往，生產廠商為了滿足大量客製的需求，往往會先做到一定程度的庫存量以備不時之需，然而，這作法容易造成許多的庫存及製造成本的浪費；拜現今科技所賜，廠商與市場、廠商與廠商的之間的關係緊密連結。因為設計端將可以無遠弗屆地將製造數據輸出給鄰近需求端的工作站，生產製造的基地選擇成為一個需要解決的問題。換言之，因為材料與製造設備的需求特性差異，如何決定生產製造基地及材料是本研究的課題。過去雖然有不少關於材料及工作站選擇相關的論文，卻鮮少有整合性的研究，若決策者沒有同時思考這兩件事，使得材料位置與生產基地無法配合，所作出的製造策略往往無法使用。本研究透過本體論的技術將材料、製程、工作站、倉儲、位置等概念連接起來成一個挑選材料及工作站的知識本體框架，知識本體框架使得工廠之間可以共享知識，使工廠可依各種情境設計各種推論規則，從中揭露出隱含於知識本體內的材料與工作站的答案。 In the past, manufacturers often accumulate a certain level of inventories in order to meet this customized requirement. However, this way will cause waste of inventories and manufacturing. Current advanced scientific technology makes the link between manufacturers and vendors closer and closer.Because the designer transfers manufacturing data to the adjacent workstations continuously, how to choose the manufacturing base becomes a requisite problem to be solved. In other words, because of the differences of the demand characteristics between materials and manufacturing equipment, how to determine the manufacturing base and the material is the subject of this study.There were a huge number of essays regarding the selection of materials and toolsets in the literature, yet there were scarce integrative researches. If decision makers don’t consider two points at the same time, the manufacturing strategy which they make can not usually be used. The reason is that the location of material and that of toolsets are different.This study builds five concepts to construct an ontology-based knowledge framework for engineering material and toolset selection: material, process, toolset, warehouse and area. The manufacturers can share their knowledge though the framework. It will find the solution that is hided under the ontology-based knowledge framework in many situations.
