本論文旨在探討鋼鐵業倉儲公司的搬運效率和倉儲空間利用的問題。該倉儲公司每天處理眾多訂單，需要在當日內完成出貨作業。然而，由於需求的不確定性，搬運工作變得繁重且效率低下，導致超時的加班費用增加以及倉儲空間的浪費現象嚴重。為了解決這些問題，本研究將著重在倉儲的擺放和備料的機制改善上。首先，通過分析訂單的頻率和需求模式，我們將提出一個優化的倉儲擺放策略。該策略將重點考慮經常使用的物料或產品，並將其放置在容易存取和搬運的位置，以減少不必要的搬運時間和操作成本。透過類似ABC分析等方法，我們可以將物料按照其取貨次數的高低進行分類。低取貨次數的物料應該被優先考慮並放置在損耗最低位置，以減少在搬運這些關鍵物料時的時間和成本。本研究將探討改善倉儲擺放機制的方法。以降低搬運的頻率和工作量。以確保適當的備料量和及時的供應，進一步提高整體運作效率。本研究將運用數據分析工具和技術來評估倉儲操作的效能並進行優化。通過收集和分析搬運時間、庫存變化、訂單達成率等數據，我們將能夠識別潛在的瓶頸和改善機會，以制定更有效的工作流程和搬運策略。為了達到這一目標，研究提出了一套色彩模式管理標識長時間呆滯貨品的方式，並通過對貨品的分類來減少搬運時間，從而提高工作效能和效率。長時間呆滯的貨品往往是造成搬運效率低下的主要原因之一。這些貨品佔據倉儲空間，但卻很少被使用或需要。因此，本研究建議對這些貨品進行標識，以便倉儲人員能夠快速識別並優先處理這些貨品。對貨品進行分類是提高搬運效率的關鍵。根據貨品的特性、需求和使用頻率，將貨品分類並儲存於相應的區域或儲位中。這樣做可以使倉儲人員更容易找到並存取所需的貨品，從而節省搬運時間和精力。透過標識長時間呆滯貨品和貨品分類，倉儲人員能夠更迅速地辨識出這些貨品並加以處理，減少了尋找和搬運長時間呆滯貨品的時間。這樣一來，不僅可以減少加班費用的支出，還能夠釋放出更多時間和資源用於更重要和高價值的貨品的搬運和處理，從而提高整體的出貨效率和達成率。希望能達到減少加班費的支出且能夠提高出貨的效率，本研究希望訂定出一套標識長時間呆滯貨品方式，透過把貨品分類後讓搬運的時間大幅鎖短，進而達到提高效能與效率。

This paper aims to explore the issues related to handling efficiency and warehouse space utilization in the steel industry storage companies. The warehouse company in question deals with a substantial number of orders each day, necessitating same-day shipping completion. However, due to the uncertainty of demand, the handling tasks have become burdensome and inefficient, resulting in increased overtime costs and significant wastage of warehouse space. To address these challenges, this study focuses on improving the placement of goods within the warehouse and the mechanism for stockpiling.
Firstly, by analyzing order frequency and demand patterns, an optimized warehouse placement strategy will be proposed. This strategy will prioritize frequently used materials or products and position them in easily accessible and maneuverable locations, thus reducing unnecessary handling time and operational costs. Utilizing techniques like ABC analysis, materials can be categorized based on their frequency of retrieval. Materials with lower retrieval frequencies should be given priority and placed in the most accessible positions to minimize time and cost during their handling.
This research will delve into methods to enhance warehouse placement mechanisms in order to reduce handling frequency and workload. This will ensure proper stocking levels and timely supply, further boosting overall operational efficiency. The study will employ data analysis tools and techniques to evaluate warehouse operations and optimize them. By collecting and analyzing data such as handling times, inventory fluctuations, and order fulfillment rates, potential bottlenecks and improvement opportunities can be identified, leading to the formulation of more effective workflows and handling strategies.
To achieve this goal, the research introduces a method for identifying long-stagnant goods and suggests categorizing goods to reduce handling time, thereby enhancing performance and efficiency. Items that have been stagnant for an extended period often contribute to reduced handling efficiency. Such items occupy storage space but are rarely used or needed. Therefore, this study proposes tagging these items for quick identification and prioritized handling by warehouse personnel.
Categorizing goods is pivotal for improving handling efficiency. Based on their attributes, demand, and usage frequency, goods should be categorized and stored in corresponding zones or locations. This approach makes it easier for warehouse staff to locate and access required items, saving both handling time and effort. By tagging long-stagnant goods and categorizing items, warehouse personnel can swiftly identify and address these items, minimizing the time spent searching for and handling them. This not only reduces overtime costs but also frees up more time and resources for the handling and processing of important and high-value goods, ultimately enhancing overall shipping efficiency and fulfillment rates.
With the goal of reducing overtime expenses and boosting shipping efficiency, this research aspires to establish a method for identifying long-stagnant goods and significantly reducing handling time through categorization, thus enhancing performance and efficiency.

論文審定書 i
誌謝 ii
摘要 iii
Abstract v
目錄 vii
圖目錄 viii
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 4
第三節 研究流程與架構 5
第二章 文獻探討 6
第一節 ABC 分析相關文獻 6
第二節 工廠顏色管理跟精實管理的相關文獻 7
第三章 研究方法 8
第一節 決策情境說明 8
第二節 研究流程與步驟 12
第四章 個案公司實務案例討論 22
第一節 建立研究商品之出貨歷史數據 22
第二節 研究商品與料架可改善問題與硬體限制並提出改善方案 26
第三節 提出改善方案所需的成本和時間取決於具體的情況和規模 30
第四節 改善方案之成效分析與建議 32
第五節 分析改善成果效益以及評估是否需要繼續執行 35
第五章 結論與未來研究方向 36
第一節 結論 36
第二節未來研究方向 37
參考文獻 38

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