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In this paper, a novel inverse scheduling strategy has been proposed to solve dynamic flowshop inverse scheduling problem (DFISP) with random job arrivals and machine breakdowns. Firstly, a mathematical model of DFISP is developed to minimize the adjustment of the parameter. Secondly, an adaptive hybrid algorithm is proposed to solve the DFISP with dynamic events and uncertain processing parameters...
Generally, ideal manufacturing system environments are assumed before determining effective scheduling. However, the original schedule is no longer optimal or even to be infeasible due to many uncertain events. This paper investigates a multi-objective inverse scheduling problem in single-machine shop system with due-dates and uncertain processing parameters. Moreover, in order to more close the addressed...
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