The disassembly process assumes a great importance in the industrial reality, as product recovery is nowadays mandatory from the environmental point of view and for the law regulations. Solving the Disassembly Line Balancing Problem (DLBP) ensures the implementation of efficient and properly balanced lines. This paper presents an approach to determine the Pareto-optimal solutions for a bi-objective version of the DLBP using a genetic algorithm. The first objective is to maximize the disassembly sequence feasibility, by relaxing the constraint of precedence relationships between tasks to better explore the solution space. The second objective is to maximize the global profit, by means of a cost model that includes workstations, equipment, workers involved in the process, disposal costs and the revenues obtained by recovering recycled materials and spare parts. The system was tested by simulating different configurations involving the disassembly of an LCD. The results demonstrated the effectiveness of the system in finding Pareto-optimal solutions in all configurations.

Pareto-based optimization using a genetic algorithm in disassembly line balancing problem

Dalle Mura M
;
Pistolesi F;Dini G.
2017-01-01

Abstract

The disassembly process assumes a great importance in the industrial reality, as product recovery is nowadays mandatory from the environmental point of view and for the law regulations. Solving the Disassembly Line Balancing Problem (DLBP) ensures the implementation of efficient and properly balanced lines. This paper presents an approach to determine the Pareto-optimal solutions for a bi-objective version of the DLBP using a genetic algorithm. The first objective is to maximize the disassembly sequence feasibility, by relaxing the constraint of precedence relationships between tasks to better explore the solution space. The second objective is to maximize the global profit, by means of a cost model that includes workstations, equipment, workers involved in the process, disposal costs and the revenues obtained by recovering recycled materials and spare parts. The system was tested by simulating different configurations involving the disassembly of an LCD. The results demonstrated the effectiveness of the system in finding Pareto-optimal solutions in all configurations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/883067
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