臺灣博碩士論文加值系統

傳統模式的經濟生產批量（EPQ）是假設有一個恆定的生產速率。這個假設的結果之一是，在某一時期內產生的單位數是不變的。然而，只有恆定產率的假設是錯誤的，只要運營商開始生產新產品，改變製造產品的機器，且重新開始新的生產，使其成為一個全新的生產程序。在這種情況下的人類的學習是不能被忽略的。最廣泛的被使用和接受的學習曲線的形式是賴特的學習曲線（WLC）。他把學習程度模擬成一種曲線，它顯示出了在生產單位累積數量慢慢增加的情況下作業時間會隨之慢慢的減少。根據學習曲線的理論學習對生產庫存模型的影響力會隨著時間慢慢變小，所以我們必須在產品生產之前就去決定他的最佳經濟批量。然而，基於恆定的生產速度，最優的批量大小確定為傳統模型在文獻中所做的那樣。

Traditional models for determining the economic production quantity (EPQ) assume a constant production rate. One result of this assumption is that the number of units produced in a given period is constant. However, the constant production rate assumption is not valid whenever the operator begins production of a new product, changes to a new machine, and restarts after a break, or implements a new production process. In such situations learning cannot be ignored. The most widely used and accepted form of the learning curve is the Wright’s Learning Curve (WLC). The WLC is a curve that solely depicts operating time decreasing at a constant percentage as a cumulative number of units are produced. With WLC the modified production inventory model is developed to determine the optimal lot size periodically before learning process becoming insignificant. Then, based on the constant production rate, the optimal lot size is decided as traditional models have done in literature.

Table of Contents
指導教授與評審委員簽名之考試合格證明書… ………………………………………………… i
List of Figures ………………………… iii
List of Tables …………………………… iv
Abstract ……………………………………… v
摘要…………………………………………… vi
1. Introduction ………………………………1
2. Learning curve ………………………… 3
3. The model development ………………… 4
4. Numerical results …………………… 16
5. Conclusion ……………………………… 22
References ………………………………… 23

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