研究生: |
蔡幸真 Cynthia Candradewi |
---|---|
論文名稱: |
雙倉結構與存貨政策之模擬 – 羽絨服飾公司配送中心個案研究 Simulation Modeling of Dual Warehouse Configuration: a Case Study in a Textile and Apparel Company |
指導教授: |
王孔政
Kung-Jeng Wang |
口試委員: |
歐陽超
Chao Ou-Yang 楊朝龍 Chao-Lung Yang |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 工業管理系 Department of Industrial Management |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 英文 |
論文頁數: | 54 |
中文關鍵詞: | warehouse space allocation 、warehouse configuration 、inventory control 、system simulation |
外文關鍵詞: | warehouse space allocation, warehouse configuration, inventory control, system simulation |
相關次數: | 點閱:351 下載:1 |
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倉儲空間的分配是許多公司需要解決的關鍵問題,特別是擁有多種類型產品的公司。然而,大多數公司的倉儲空間有限,這些公司會採用外包倉儲的政策,在這種情況下,他們會租賃空間較具靈活性的倉庫存放產品。因此,對公司來說,外包倉儲或是自己建造倉儲,找到最佳的解決方案,極為重要。林鈺祥、王孔政(2017)針對不易保存的產品,提出了倉儲配置和庫存政策的兩階段隨機優化模型,但是現實生活中直接採用他們提出的方法,可能導致過高運算成本及時間。本研究採用了他們提出的兩階段隨機優化模型,並應用在倉儲模型中,分析實際遇到的問題。本研究以羽絨服飾公司為研究對象,由於該公司的倉儲內擁有各種產品及原料,如何最佳化產品與原料的運送過程是本研究的議題之一。根據模擬結果可以得到的分析資訊,如:庫存資源的利用率、不同需求可能性下的淨營利…等,因此,模擬結果會更符合現實狀況。
Warehouse space allocation is a critical issue to be addressed in many firms, especially firms that have various types of products. Further, most of the owned warehouse has limited capacity which lead to the usage of outsource policy for warehouse storage. In this case, rented warehouse that has more flexibility in terms of capacity is used to store the products. Therefore, an optimal decision of warehouse configuration is required. Lin & Wang (2017) proposed a two-stage stochastic optimization model for warehouse configuration and inventory policy for deteriorating items. Unfortunately, direct implementation of their proposed method in real case problem is not possible to be conducted, as it will incur high cost and takes up a lot of time. In this research, a simulation model is developed to analyze the implementation of the proposed method in real case problem. A textile and apparel company is used as the study case. The result shows that simulation model can give more detailed analysis, such as the usage of the resources for material handling. The net profit when facing different demand possibility can also be captured using simulation model. Thus, result that is closer to the real case problem can be obtained.
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