Second order conic approximation for disassembly line design with joint probabilistic constraints
The disassembly line design and balancing problem is studied under uncertainty. Task times are assumed to be random variables with known normal distributions. The goal is to design a line with maximal profit in presence of hazardous material. Chance constrained programs and efficient exact solution approach are developed. Results have shown their potential applicability in industry for real life cases.
joint probabilistic constraints line design and balancing assembly and disassembly stochastic programming piecewise linear approximation