Disassembly Sequence Optimization for Profit and Energy Consumption Using Petri Nets and Particle Swarm Optimization

Abstract

Environment, resources and energy have garnered global attention in several countries of major societal concern. Manufacturers must be mindful of the environmental impact by monitoring their products throughout their life cycle in order to manage the pollution problem. Nowadays, the disassembly operation plays a fundamental role in component remanufacturing considering their importance in product recovery by recover value and conserving energy from end-of-life products. Reducing the energy consumption of disassembly sequences has been an important subject. This paper establishes a dual-objective disassembly sequencing problem that aims to maximize disassembly profit and minimize energy consumption. This approach is based on the adaptation of the Petri net (PNs) as modeling tool that allows representing all possible disassembly sequences using the extended process graph, the disassembly priority, and the incidence matrices. Then, the particle swarm optimization (PSO) algorithm is applied to determine the optimal disassembly sequence that ensure the least energy consumption and the maximum profit. To evaluate the efficient of the proposed approach, a case study of a radio set is proposed. Simulation results demonstrate the efficacy of the proposed methods to resolve this type of problem by determining the optimal or near optimal disassembly sequence.