臺灣博碩士論文加值系統

本研究之目的在發展修改LFL、EOQ、EOQ2、POQ、LUC、LTC、SM、MCA、PPA、IPPA及WW等單階離散需求之的訂購政策，考慮俱損耗性因素之產品。 將修改後的11種批量方法模擬實驗於四種環境中，在靜態主生產排程中使用成本誤差來表示執行績效的測度，分析需求模式、損耗率、設置成本和購買成本對各種批量方法之影響。需求確定下的滾動主生產排程中使用總成本及排程不穩定性為測度，分析計劃範圍、自然循環、重排程間隔和需求模式對各種批量方法之影響。凍結模式中使用相同的測度，分析凍結方法和凍結長度對各種批方法之影響。需求不確定下的滾動主生產排程中使用相同的測度，考慮缺貨後不補貨所以加入缺貨數量的測度，分析預測誤差對各種批量方法之影響。 本研究之結果顯示WW有最低的總成本但不穩定性高，LFL有高的穩定性但總成本最高，SM及MCA在各環境中有低總成本及高穩定性是好的批量方法。使用訂單基礎的凍結方法較週期基礎佳。

The purpose of this study is to develop lot sizing replenishment rule using modified LFL, EOQ, EOQ2, POQ, LUC, LTC, SM, MCA, PPA, IPPA and WW policies for single-level discrete demand. The model developed consider the deteriorating effect of items. The study consider eleven lot sizing methods which are simulated infour different environments. The static MPS uses measurement of cost error to show the efficiency of execution. The impact of each lot sizingmethod for various demand trends, deteriorating rate, setup cost and purchase cost are analyzed. The rolling MPS under known demand considers the over all cost and instability factor. The impact of every lot sizing method for different planning horizons, natural cycle, re-planning interval and various demand trends are analyzed. The same analysis is done the freezing method. The impact of each lot sizing method is analyzed. The rolling MPS under uncertain demand extends the known demand and considershortages. The impact of each lot sizing method for forecast error is analyzed. This study shows that in every simulation environment, WW has the lowesttotal cost, but the stability is not high. LFL has the highest stability butthe total cost is the highest. SM and MCA which have low total cost and reasonable stability are good lot sizing method in every simulation environment. It is found that the freezing method using order-based is betterthan the period-based.