%0 Journal Article %T Investment-Cost Optimization of Plastic Recycling System under Reliability Constraints %+ Laboratoire Modélisation et Sûreté des Systèmes (LM2S) %+ Université Djillali Liabès [Sidi-Bel-Abbès] %A Zeblah, Abdelkader %A Chatelet, Eric %A Samrout, Mohamed %A Hadjeri, Samir %< avec comité de lecture %@ 1583-0233 %J Leonardo Journal of Sciences %I AcademicDirect %V 7 %N 12 %P 79-98 %8 2008 %D 2008 %K Ant Colony %K Redundancy Optimization %K Multi-state Systems %K Universal Generating Function (UMGF) %K Plastic Recycling %Z Computer Science [cs]/Operations Research [cs.RO]Journal articles %X 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. %G English %L hal-02320000 %U https://utt.hal.science/hal-02320000 %~ CNRS %~ UNIV-TROYES %~ UTT %~ UTT-LIST3N %~ LM2S-UTT