A study of genetic algorithm in material allocation planning for network communication equipment industry

• Main Authors: Yu-Yun Lee, 李禺澐
• Other Authors: Li-Chih Wang
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/39704727305119858728

碩士 === 東海大學 === 工業工程與經營資訊學系 === 98 === Enterprises today are facing ever increasing challenges because of evolving globalization and the increasingly severe competitive environment, how to efficiently using and planning resource has become an important issue to enhance a business's competitiveness. This study uses a case of network communication equipment manufacturer. A network communication equipment manufacturer, not only produces switch, router and wireless modem, but also develops the network communication software. Because the product specifications are very complicated and vary dramatically, many materials are common parts for different products, moreover, must consider the process continuous and avoid changing the line balance. To achieve “maximizing the material”, that means maximizing the profit after material planning, become an important issue of material planning in network communication equipment manufacturer. In past, most of researches for material planning focus on establish the lot size of production and purchase, few consideration product structure, using the Top-down planning logic, or not allow backorders. Actually few in view of in existing materials and limited resources, using Bottom-up planning logic to efficiently allocate the current resource to fulfill the demand. Hence, this study proposed an algorithm, consider the material planning characteristic in network communication equipment manufacturer, for environment of multi-level product, multi items, multi common parts, and also consider the full-scale material planning(齊料) logic, then using genetic algorithm to solve the issue of “maximizing the material” in network communication equipment manufacturer.