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研究生:張鴻偉
研究生(外文):Hung-Wei Jang
論文名稱:物流中心揀貨作業兼職人力資源策略以彬泰超商物流中心為例
論文名稱(外文):Part-Time Human Resource Strategy for Picking Operation in Distribution Center. A Case Study Pin Tai Distribution Enterprise Co., Ltd.
指導教授:蔡明志蔡明志引用關係
指導教授(外文):Ming-Chih Tsai
學位類別:碩士
校院名稱:國立高雄第一科技大學
系所名稱:運輸與倉儲營運系
學門:運輸服務學門
學類:運輸管理學類
論文種類:學術論文
論文出版年:2000
畢業學年度:88
語文別:中文
論文頁數:72
中文關鍵詞:物流中心揀貨作業兼職人員計件制度績效指標
外文關鍵詞:distribution centerpicking operationpart-time staffpiecework plansperformance index
相關次數:
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在物流中心內部作業的運作過程中,由於揀貨作業約佔總物流中心作業成本的40%,且人力配置高達物流中心人力配置的50%左右,所以規劃合理的人力資源策略,以改善揀貨作業績效,對提升物流中心整體的營運績效具有決定性的影響。目前在物流中心揀貨作業的人力資源管理手段中,物流業者經常聘用部份兼職人員,來避免市場需求量的季節性變動,並以計件制度直接激勵兼職員工的生產力,有鑑於此,「兼職人員比例」與「兼職人員計酬率」乃成為目前實務上物流中心揀貨作業在營運時所最需探究的人力資源課題。
所以,本研究以「人力資源規劃」觀點,周延、互斥及簡化原則,發展揀貨作業「效能」(Effectiveness)、「效率」(Efficiency)及「公平」(Equity)之3E績效指標,分別為效能指標:「揀貨錯誤率」與「人員稼動率」;效率指標:「每人時揀取次數」,及公平指標:「正兼職人員報酬比值」。並建立3E績效指標與上述兩人力資源策略變數之量化模式關係,以「兼職人員比例」與「兼職人員計酬率」兩人力資源策略作為決策變數,3E績效指標作為目標變數,依據學習曲線理論之學習效果的概念,提出決策變數與目標變數為非線性關係,而且由於所有變數均為非負的正值,因此,以Log轉換,即為Log-linear函數,經由多元迴歸模式校估其參數。
本研究實際以國內一家配送便利商店(convenience store, CVS)貨品為主的CVS物流中心為例,進行個案研究,研究校估人力資源策略變數與3E績效指標的量化模式關係,及3E績效指標間的相互關係。研究最後以目標規劃方式,考量外部人力市場供給需求因素,提出最佳策略方案,以為人力資源規劃之參考。
Accounting for 40% of total cost for distribution center (DC), picking operation is the most critical part of DC operations. To improve performance of picking operation, reasonable human resource strategy could play a decisive factor towards successful operations. Employing part-time workers attached with the piecework plans can be a pertinent strategy which can reduce the impact resulting from the seasonal fluctuation of business and inspire part-time workers’ productivity. Two variables, ‘the ratio of part-time staff’ and ‘the ratio of part-time piecework’, therefore are two decisive factors for the issue of part-time human resource strategy.
Thus, this study re-explores the performance indexes for picking operation, based on the principles of comprehension, exclusion, and simplification, and develops the performance indexes of picking operation in the aspects of effectiveness, efficiency, and equity. In this study, the indexes are investigated and justified that effectiveness is represented by two indexes: “rate of picking mistake” and “flexibility of staffing allocation”; while efficiency is represented by the index of “the number of picking item per staff per hour”; and, equity is by “ ratio of salary of full-time staff to that of part-time staff” given an identical production”. This study applies two variables mentioned earlier, ‘the ratio of part-time staff’ and ‘the ratio of part-time piecework’, as the decision variables of human resource strategy, thereby establishes a quantitative model linking the established indexes and decision variables. In considering the theory of the learning curve, the function form is assumed to be non-linear, and the models are tested and calibrated by the corresponding data provided by Pin-Tai Distribution Enterprise Co., Ltd.
The results indicate that the indexes of effectiveness and efficiency are significantly affected by two decision variables, while that of equity is only significantly by the ratio of part-time piecework. By analyzing the quantitative results, this study finally proposes two optimal human resource strategies for attaining the future targets set by the DC company in accordance with the condition of the exterior employment market.
壹 緒論
一、研究動機…………………………………………………………1
二、研究目的…………………………………………………………3
三、研究方法與流程…………………………………………………5
四、研究範圍與限制…………………………………………………6
貳 文獻回顧
一、CVS物流中心的定義與營運現況………...……..……………8
二、物流中心揀貨作業績效指標……………………...………….9
三、效能、效率與公平……………………………………………..16
四、人力配置………………………………………………………..18
五、績效獎金制度……………………………………………………21
參 量化模式關係之建立
一、人力資源策略變數之定義………………………………………31
二、揀貨作業3E績效指標之定義….…………………………….…32
三、量化模式關係……………………………………………………36
四、量化模式內容……………………………………………………38
肆 實證分析
一、個案公司與其揀貨作業概述……………………………………40
二、量化模式之參數校估與分析……………………………………43
三、揀貨作業3E績效指標間的相互關係……………………………49
四、以目標規劃分析人力資源策略方案……………………………54
伍 結論與建議
一、結論………………………………………………………………64
二、未來研究建議…..………………………………………………65
參考文獻
中文文獻………………………………………………………………69
英文文獻………………………………………………………………70
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