Applying Fuzzy Linear Programming to Project Scheduling Problem：An Example of Conveyor Equipment Manufacturing

• Main Author: 簡松樹
• Other Authors: 陳志賢
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/49951205728617685183

碩士 === 佛光大學 === 管理學系 === 97 === According to the increasing complexity of the conveyor equipment manufacturing and also the diversity of division of labor, using the conventional managing method is not sufficient and efficient anymore. To date, the project programming depends heavily on the experience of senior mechanics which is not systematic and scientific enough to approach the lowest cost and highest efficiency on project programming. In terms of conveyor equipment manufacturing, developing a way to finish the project as soon as possible is a important task for managers. Therefore, here, we develop a way for manufacturing to solve the project scheduling problem. We propose two ways to solve the problem: First, we estimate five different kinds of manufacturing period using fuzzy theory and establish the mathematics models using linear programming (LP). Second, on the basis of the manufacturing uncertainty, we try to look for the way to approach lowest cost and highest efficiency using degrees of Membership. Our study provides a way for people to investigate the role of fuzzy manufacturing method on projects. Also, we simplify the complexity of project programming and help people finish the project with most efficient way. Here we use the software of LINGO as a tool to study the fuzzy theory on linear programming. Moreover, we simulate our formulation side by side with the real case, therefore, the formulation will become more realistic.