Modeling of Production-Marketing Coordination in Mass Customization - A Case Study of an IC Design House

碩士 === 國立臺灣科技大學 === 工業管理系 === 97 === In such a varied requirement from customers, product life cycle shortened and business-survival mode changed by innovation of production and marketing method. Adaptability challenged by customers varied demand that companies are hard to predict forecast, short de...

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Bibliographic Details
Main Authors: Yen-Hui Chen, 陳彥慧
Other Authors: Tsung-Shin Hsu
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/36067303008573849794
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Summary:碩士 === 國立臺灣科技大學 === 工業管理系 === 97 === In such a varied requirement from customers, product life cycle shortened and business-survival mode changed by innovation of production and marketing method. Adaptability challenged by customers varied demand that companies are hard to predict forecast, short delivery times, keep high-risk inventory and reduce customer service level. Companies have to provide products with quick responses, more options, and cost effective in order to face changeable global markets. By this study to improve the process framework to mitigate the impact of inaccurate forecasts which is due to market changes and demands diversification, and increase the competitiveness of enterprises. This study integrated the way of Mass customization and Postponement with five major steps of modeling of production-marketing: structural analysis, standardization, modularity, process recombination, mass customization. Finally, build the model of management structure. The five steps applied to IC-designed industry, to build a production-marketing model, management structure and control tables of IC-designed companies, and to assist in its decision strategy of production-marketing. In this individual case, show the change in investment and production rate is effective from 60% to 50%. This research also discovers the method of dynamic outsourcing postponement could reduce the risk of over inventory appropriately when uncertain demand is reached to companies. Hope it helps to related industries at production-marketing management.