作者: M. Lounes Bentaha , Olga Battaïa , Alexandre Dolgui , S. Jack Hu
DOI: 10.1016/J.CIRP.2014.03.004
关键词:
摘要: A disassembly process is usually characterized by a high level of uncertainty due to the quality End-of-Life products. This paper presents an efficient approach for designing lines with objective maximize line profit. Task times are assumed be random variables known probability distributions. An AND/OR graph used model precedence relationships among tasks and subassemblies alternatives. Monte Carlo sampling based exact solution method developed deal uncertainties. Results experiments on problem instances presented.