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。
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.