期刊名称：Leonardo Electronic Journal of Practices and Technologies
印刷版ISSN：1583-1078
出版年度：2008
期号：12
页码：79-98
出版社：Academic Direct Publishing House
摘要：This paper describes and uses an ant colony meta-heuristic optimization method to solve the redundancy optimization problem in plastic recycling industry. This problem is known as total investment-cost minimization of series-parallel plastic recycling system. Redundant components are included to achieve a desired level of availability. System availability is represented by a multi-state availability function. The plastic machines are characterized by their capacity, availability and cost. These machines are chosen among a list of products available on the market. The proposed meta-heuristic seeks to find the best minimal cost plastic recycling system configuration with desired availability. To estimate the series-parallel plastic machines availability, a fast method based on universal moment generating function (UMGF) is suggested. The ant colony approach is used as an optimization technique. An example of plastic recycling system is presented.
关键词：Ant Colony ; Redundancy Optimization ; Multi-state Systems ; Universal Generating Function (UMGF) ; Plastic Recycling.
