近年來隨著經濟環境產業結構的快速變遷,企業的競爭策略已轉變為以顧客需求為導向,在以顧客需求為主的趨勢下,將對產品品質作嚴格的要求,以迎合顧客對產品之高品質要求。市場上產品需求呈多樣變化,將使產品組裝加工的生產流程趨於複雜,即一個產品可能在多個工廠進行其組裝與加工之程序,以完成成品。因此,以往單廠規劃已無法滿足產品需求,所以,如何規劃跨廠組裝與加工次序以滿足市場需求,則為一項重要的課題。 本研究分為三個階段來建構跨廠組裝加工次序評估模式,第一階段為將產品元件作子組裝分群及列出組裝與加工操作之限制條件。第二階段為針對各群組以組裝與加工限制條件為搜尋限制,搜尋所有可行組裝與加工操作次序。第三階段為將群組中所有可行組裝加工次序作評估,以總成本最小為目標,求得最佳跨廠組裝加工次序。 本研究為探討在跨廠的情況下如何規劃產品組裝與加工次序的問題,在產品設計規格、元件操作設備及技術與各廠區設備及成本等相關資料已知條件下,利用線性規劃,以本研究所提出之三階段評估模式,在總成本最小的目標下,求得最佳跨廠組裝加工次序。企業可依據本研究所建構的評估模式作為一項重要跨廠製造生產之決策支援工具。
Due to the rapid change of global economic environment and industrial framework, the competition strategy of enterprise have becoming to focus on customer demand. A variety demand to the product makes the manufacturing procedure of assembly become complexity. Planning in one factory will no more meet the demand of product. Therefore, how to planning for multi-plant assembly and machining sequences has been a key issue in the product development process because of the cost savings that can be gained by using a good assembly and machining sequence to manufacture a product. In this research, the assessment models of the construction of assembly and machining process can be divides into three phases. In the first phase, the component of product being divided into subassembly and outline the constraints of machining. In the second phase, the assembly and machining constrains will be the searching constrains, to searching for the possible assembly and machining operation sequences. In the third phase, all of the assembly machining sequence will be assessed. This model is aimed at minimizing the total production cost to obtain the best multi-plan sequences. After the information of production format, operation equipments, equipment of every plan and costs had been knew, using linear planning and three-phase assessment model which suggested here to obtain the best multi-plan assembly and machining sequences with the goal of minimizing the total costs. The enterprise may according the assessment model in this research to use as an important technique of decision assist strategy.