Resource allocation flowshop scheduling with learning effect and slack due window assignment
Shuang Zhao
Abstract
<p style='text-indent:20px;'>We study flowshop scheduling problems with respect to slack due window assignments, which are operations in which jobs are assigned an individual due window. We combine learning effect and controllable processing times, in which the flowshop has a two-machine no-wait setup. The goal is to determine job sequence, slack due window based on common flow allowance, due window size, and resource allocation. We provide a bicriteria analysis for the scheduling and resource consumption costs. We show that the two costs can be solved in polynomial time utilizing three different combinations.
Topics & Concepts
Computer scienceScheduling (production processes)Learning effectFlow shop schedulingWindow (computing)Mathematical optimizationJob shop schedulingReal-time computingMathematicsOperating systemScheduleMicroeconomicsEconomicsScheduling and Optimization AlgorithmsOptimization and Search ProblemsAdvanced Control Systems Optimization