An economic production lot size inventory model for deteriorating items with-varying demand and production rate

碩士 === 國立臺灣科技大學 === 工業管理系 === 92 === ABSTRACT In this study, we discuss the “Economic Production Lot Size model” (EPLS model), which is an inventory model that manufacturing companies make and sell its goods at the same time. Different from the traditional EPLS model, we change several of...

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Bibliographic Details
Main Author: 鄭聖宏
Other Authors: 潘昭賢
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/61477146660969676143
Description
Summary:碩士 === 國立臺灣科技大學 === 工業管理系 === 92 === ABSTRACT In this study, we discuss the “Economic Production Lot Size model” (EPLS model), which is an inventory model that manufacturing companies make and sell its goods at the same time. Different from the traditional EPLS model, we change several of its original hypotheses to make it fit the practical situation. For example, we assume that all products deteriorate as time goes by. And the production and demand rate will change with time and with the price of the products. We also hypothesize that shortage is allowed and demand during the stockout period is partially lost due to impatient customers. Moreover, the hypothesis of the finite planning horizon is discussed in this paper. Base on the hypotheses we mentioned above, three EPLS models about fixed deterioration rate have been developed. In chapter 2, we assumed that the production and demand rate change with time and partial backlogging is concerned. In chapter 3, we assumed that the production rate changes with time but the demand rate changes both with time and with the price of the product. In chapter 4, we assumed that production rate and demand rate change with time but the planning horizon is finite. In chapter 2 and chapter 4, the object is to find the minimum production cost per unit time and in chapter 3, the object is to find the maximum net profit per unit time. Each object function is respectively to find out their optimal inventory strategies. Finally, numerical examples are provided to illustrate the proposed model and sensitivity analysis is also provided.