_______________________摘____要
____原物料的倉儲系統中，會受到儲存空間和存取機器的限制，在追求等待時間及存取速度的要求時，便成為了倉儲系統的重要課題；在開放式的儲存空間及散裝原物料所具有數量大，無法精確度量計數的特性下，人工作業所導致原物料在進行儲料位置的選擇上，便成了首要追求目標。而人工進行儲料位置的選擇中，充滿許多模糊性的資料，如何讓這些模糊性的語意資料轉變成有用的資訊則成為了重要的課題。
____本研究運用模糊層級分析法，發展一個以最少料堆為主的決策模式，並且考慮原物種類、產地、料場使用空間、設備使用狀況及原物料的使用率等因素，最後來檢驗模糊的決策模式，以探討使用模糊數(fuzzy)和明確值(crisp)等不同方法論所產生結果上的異同。
____經由對中國鋼鐵公司的個案研究，得知該公司料場情形，運用模糊綜合評判的方式，討論在相同時點下，使用模糊多準則模擬儲料位置的選擇，是優於傳統公司內人工作業的決策方式；在不同時點下，所模擬的結果則是使用各項模糊理論的方案，均有優於傳統的與使用簡單數值的方案結果。
____本研究在進行儲料位置的選擇時，針對與最佳三角模糊數差距不到20%的次佳決策目標納入考量，讓無法量化的準則而使用模糊理論作依據時，進行非模糊化的決策過程更顯完善；研究成果能提供從事使用模糊數與明確值來進行決策學術研究的參考。

___________________Abstract
In a raw material warehousing system, storage space and storage/retrieval machine are two limiting factors, which become an important issue for the operation of warehousing system in fulfilling the criteria of waiting time and storage/retrieval speed. For an open storage space and bulk material, characterized by substantial amount and difficulty in precise quantification, manual operation becomes the primary option in the selection of storage position. However, there exists a lot of fuzzy information in the manual selection of storage position. How to convert this fuzzy verbal information into useful data becomes an important issue.
In this study, fuzzy hierarchical analysis was used to develop a decision-making model with minimal piles. Category of raw material, producing country, space used in the storage field, operation state of equipment and utilization rate of raw material were also considered. Finally, this fuzzy decision-making model was examined to explore the differences of results obtained by fuzzy and crisp methodologies.
Through the case study of China Steel Corporation (CSC), current operation of storage field of CSC was studied and fuzzy comprehensive evaluation revealed that the selection of storage position simulated by fuzzy multi-criteria was superior to the conventional decision-making approach by manual operation at the same time points. At a variety of time points, the simulated results obtained from approaches based on different fuzzy theories were all superior to the conventional approach and that based on simple data.
In this study, decision objectives with a difference of <20% with the optimal triangle fuzzy number were incorporated into the consideration during the selection of storage position. This would make the unfuzzy decision-making process based on fuzzy theory with unquantifiable rules more completed. Our study results can be a reference for academic studies on decision making using fuzzy and crisp numbers.

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