Rush Orders’ Acceptance Evaluation From Integrated Profit Viewpoint in Bike Supply Chain Industry

碩士 === 國立臺灣大學 === 機械工程學研究所 === 91 === Due to market saturation and short life-time in bike industry, competition grows seriously. Thus rush orders for new-designed bike are increased day by day. Rush orders usually interrupted a current effective MPS (master production schedule) and MRP (...

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Bibliographic Details
Main Authors: Chan Tsan Jung, 詹璨嶸
Other Authors: Su Hua Hsieh
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/75244228187512550379
Description
Summary:碩士 === 國立臺灣大學 === 機械工程學研究所 === 91 === Due to market saturation and short life-time in bike industry, competition grows seriously. Thus rush orders for new-designed bike are increased day by day. Rush orders usually interrupted a current effective MPS (master production schedule) and MRP (material requirement planning). Decision-makers, especially for those makers in a supply chain system, are often hesitant to accept such orders This paper proposes a profit-based evaluation model for justifying the acceptance of rush orders for a bike industry supply chain system. In this study, possible strategies of handling rush orders are illustrated and discussed firstly. Those possible profits (such as business opportunities) or costs (such as over time cost, delay penalty, etc.) related to a rush order are analyzed and formulated, secondly. Then profit obtained and cost lost evaluation model for different layers in a supply chain are thus established. To integrate those sub-models from different layers, an over-all profit-based evaluation model are built up finally. For the purpose to verify the feasibility of the purposed model, a case study is used. An Excel-based simulation model is built to demonstrate how rush orders affect the system. Furthermore, Strategy evaluations are performed. When a rush order occurred, several feasible strategies are suggested and applied to the case one by one. The one with overall maximum profit or minimum lose is referred to decision-makers.