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Journal Articles Leonardo Journal of Sciences Year : 2008

Investment-Cost Optimization of Plastic Recycling System under Reliability Constraints

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Abstract

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.
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Dates and versions

hal-02320000 , version 1 (18-10-2019)

Identifiers

  • HAL Id : hal-02320000 , version 1

Cite

Abdelkader Zeblah, Eric Chatelet, Mohamed Samrout, Samir Hadjeri. Investment-Cost Optimization of Plastic Recycling System under Reliability Constraints. Leonardo Journal of Sciences, 2008, 7 (12), pp.79-98. ⟨hal-02320000⟩
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