結合語意本體架構與模擬之分析應用-以汽車電機零件生產規劃為例

A Study of Integrating Ontology and Simulation in the Capacity Planning – An Example of Auto Electrical Part Production Planning

黃偉傑(Wei-Jie Huang)

指導教授 ： 任恒毅

元智大學/工程學院/工業工程與管理學系/碩士(2008年)

https://doi.org/10.6838/YZU.2008.00180

摘要

在全球激烈競爭的市場中，產品的變化需更為快速以滿足需求。而隨著產品生命週期的縮短，企業在強大的競爭壓力下為了掌握最有利的優勢，除了做好自身的生產管理與內部控制外，更必須仰賴與其它企業間的聯盟與合作關係，透過彼此的協調、分工、與合作，以創造最佳的生產與營運績效。管理者需要全盤考量與規劃相關的資訊，而企業所需配置資源的對象，也不再只是企業個別的資源；規劃的範圍也從企業本身、延伸到與其它企業間的協調合作機制，諸如資訊的傳遞、資源的分配、生產計畫的安排、以及企業間彼此的協調與合作機制等。鑑於傳統的產能與物料規劃方式已不易滿足生產計畫的要求和適用於目前環境，本研究基於語意本體工程相關理論，運用語意網的概念，結合流程模擬，並參考實務上的營運情況，建構、發展出一新的生產規劃模式與架構，以期解決傳統的產能規劃模式下，廠商於供應鏈系統中的資源分配、以及生產排程規劃上的問題。本研究以一汽車冷氣空調廠個案進行實證研究，透過語意本體與模擬的結合與分析，提供廠商在決策產能規劃的各項建議，使供應鏈效率、服務水準提升並減少成本。

關鍵字

知識本體 ； 語意網 ； 模擬

並列摘要

In the highly competitive global market with shorter product life cycle, companies are under great pressure to shorten the time to market maintain high service quality to increase their competitiveness. Enterprises are not only managing their internal production and operations, but need to coordinate and cooperate with other enterprises to achieve best production and operational performance that facilitate a need to structurally manage the supply chain. Nowadays company managers have to consider all crucial information pertaining to the production plan, the schedule, the objective and the scope of control not only itself, but also in its upstream suppliers and downstream customers. So far, there are still large amount of traditional production planning methods (e.g., MRP) or scheduling modules which could not acknowledge the full requirements of effective production planning, not mentioning an appropriate fit for current business environment at all. In view of this, this research provides a capacity planning framework that incorporates the concepts of ontology by using the expressing power of Semantic Web, and the simulation capability to experiment various business scenarios that can help expediting the handling of resource allocation and production scheduling planning in the supply chain. The model developed in the research is applied to an air conditioner (AC) supply chain of a company to verify it’s applicability in practice. By combining simulation power and semantic structure analysis, the model can assist the management in decision-making of capacity planning and in improving the efficiency, service level and to reduce cost of the supply chain.

並列關鍵字

Ontology ； Semantic Web ； Simulation ； Prot&eacute ； g&eacute ； Arena

參考文獻

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