This paper investigates an unrelated parallel machine scheduling problem with a restrictive common due date. The objective is to minimize the total sum of earliness/tardiness costs. Using some properties such as V-Shaped property, optimizing start times machines, and no idle time between successive jobs, we propose effective construction-based heuristics local search algorithms for problem. var...

We study flowshop scheduling problems with respect to slack due window assignments, which are operations in jobs assigned an individual window. We combine learning effect and controllable processing times, the has a two-machine no-wait setup. The goal is determine job sequence, based on common flow allowance, size, resource allocation. provide bicriteria analysis fo...

This work studies the performance of two Mixed Integer Linear Programming (MILP) models to solve scheduling problems in a flexible job shop environment with recirculation and assembly using a due-date-based objective function. The models convey different approaches both in the modelling of time (discrete and continuous approaches) as well as in the assignment of jobs to machines. The comparison...