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研究生:秦椿茂
研究生(外文):Chyn, Chuen-Maw
論文名稱:流通業貨架空位之最佳分配
論文名稱(外文):The Optimal Allocation of Shelf Space in Distribution Industry
指導教授:林燦煌, 駱景堯
指導教授(外文):Lin Tsan-Hwan, Low Chin-Yao
學位類別:碩士
校院名稱:大葉工學院
系所名稱:工業工程研究所
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:1997
畢業學年度:85
語文別:中文
論文頁數:60
中文關鍵詞:流通業貨架空位分配
外文關鍵詞:Distribution IndustryShelf SpaceAllocation
相關次數:
  • 被引用被引用:10
  • 點閱點閱:212
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:3
一般人在談到提升商店營業額時,多半會把焦點放在各式各樣的促銷計劃
上,而忽略了基本陳列所提供的價值。因賣場陳列的好壞攸關產品銷售業
績,如何創造出消費者易看、易選、易買的賣場及防止店頭的缺貨情形發
生,實有賴於完善的貨架空位分配與優秀的商品陳列技巧。零售店內的商
品具有多樣與豐富的特性,但是賣場內的貨架空位(資源)卻是有限的。
如果分類或陳列方式不當,造成消費者難以買到,即便賣場內提供成千上
萬的商品也是枉然。因此,在充份利用賣場空間的條件下,如何將所選定
的商品群與貨架陳列空間作一妥善分配,將直接關係經營績效的良寙。本
研究先探討賣場內影響商品群貨架空位分配之相關消費者行為、設施設備
、成本結構等因素,並從中定義出貨架空位分配模式裡所需之決策目標、
決定變數、主要影響因素與相關限制式,進而構建出一個最佳化數學模式
;並透過適當的程序與解法,求得商品群貨架空位分配的實質資料。為了
確認模式的正確性與實用性,以實務界的資料為基礎,進行驗證的工作;
另外透過敏感度分析,分析影響貨架空位分配模式的因素以及其影響程度
。最後,冀望本研究所建立之最佳化模式與求解方法等成果,能夠真正提
供業者於進行商品群貨架空位分配時之參考。
To promote the sales of a retail store in the distribution
industry, we used to focus on all kinds of promotion methods but
ignore the value brought by display techniques. According to
past experiences, the way the products displayed on the shelves
affects sales volume. An appropriate display technique may
create a selling place that the customers can watch, select, and
purchase products easily, and may prevent product shortage in
the stores.There are varieties of products along with large
volumes in a shop. However, the shelf space is limited. If the
methods adopted to classify and display products is
inappropriate, the customers can hardly buy what they want.
Even with hundreds and thousands of products, it is absolutely
useless for sales increase. Therefore, to fully utilize the
sales space, it is very important to find an efficient method to
allocate products onto shelf space.In this research, we first
investigated factors such as consumer behaviors, facility
equipment, and cost structure that affect shelf space allocation
behavior. From the results, we constructed a mathematical model
by defining the decision variables, the objective function, main
factors and their corresponding constraints. Through proper
solution procedures, we then determined the best shelf space
allocation plan.In order to verify the correctness and the
applicability of the model, we apply a set of real data as the
test basis. Through the sensitivity analysis, we conducted
further analysis about factors of the shelf space allocation
model and tried to find their effects. The results derived from
the research can truly offer the distribution industry a
reference tool to allocate the shelf space for different
products.
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