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  • 學位論文

筆記型電腦新產品導入運籌績效與因子之探討

Logistics Performance Indicators and Factors for the Introduction to New Notebook Computer Products

指導教授 : 饒忻
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摘要


本研究針對筆記型電腦在新產品導入時,進行設計時考量運籌 (Design for logistics, DFL)之研究,其運籌範圍包含產品包裝、儲存、運送等過程。首先從文獻與專家訪查確定筆記型電腦在新產品導入所考量之構面、運籌管理指標及運籌作業因子,三者形成階層之關係,並且可得到構面與管理指標的關係矩陣及管理指標與作業因子的關係矩陣。從構面與管理指標的關係矩陣中,可求得考量多項構面下各管理指標之權重。另外,從管理指標與作業因子的關係矩陣中,利用TOPSIS方法可獲得各管理指標下各作業因子之權重,進而可求得考量多項構面各管理指標下作業因子之關係程度。然後利用模糊群聚方法,以此關係程度在考量多項構面與多項管理指標下,可得到各作業因子之間之群聚程度。最後採用多目標規劃方法,以作業因子群聚為限制條件下,求取最大的管理指標效用值。

並列摘要


This thesis studies design for logistics (DFL) for the introduction of new products of notebook computers with the processes of packaging, storage, and delivery. In the beginning, the aspects (A) chosen for the introduction of new products of notebook computers, managerial performance indicators (P) and operating factors (F) of logistics management are needed to identify from the literature and experts. These three items (APF) are formed a hierarchical relationship, and two relationship matrices, (A-P) and (P-F), can be obtained. From the A-P matrix, the weight of each P can be obtained under the multi-aspects consideration. In addition, from the P-F matrix, using the method of technique for order performance by similarity to ideal solution (TOPSIS) the weight of each operating factor under each managerial performance indicator can be found. Moreover, we can obtain the degree of relationship for each operating factor under the consideration of multi-aspects and each managerial performance indicator. Then, using the fuzzy cluster method, we can obtain the degree of clustering for each pair of operating factors under the consideration of multi-aspects and multi-performance indicators. Finally, the multi-objective programming method is used to determine the best combination of operating factors in order to gain the higher managerial performance under the limited resources.

參考文獻


蔡介元、張百棧、王錫中, 運用關聯法則技術與類神經網路於產品開發設計之研究,工業工程期刊, pp. 101-112, 2003
蘇雄義, 供應鏈之設計與管理, 2001
Agrawal V.P., Kohli V. and Gupta S., “Computer aided robot selection: the multiple attribute decision making approach,“ International Journal of Production Research, vol.29, pp.1629-1644, 1991.
Agrawal V.P., Verma A. and Agrawal S., “Computer-aided evaluation and selection of optimum grippers,” International Journal of Production Research, vol.30, pp.2713-2732, 1992.
Bezdek J.C., “Cluster validity with fuzzy sets,” J. Cybernetics, vol.3, pp. 58-72, 1974.

被引用紀錄


廖建評(2006)。筆記型電腦業新產品導入包裝屬性展開〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200600824
吳昇鴻(2011)。筆記型電腦公司經營績效評比-DEA分析法運用〔碩士論文,大同大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0081-3001201315110649

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