and eliminates non-essential activities throughout the changeover. Scheduling an operating procedure within SMED in such … case is a challenge. Project scheduling model with workforce constraints can be used to create a set of heuristics to … provide us with an optimized list of tasks. The paper proposes to design a scheduling heuristic model to allocate tasks to the …

-machine scheduling problems. ATC extensions have been frequently applied in other production settings, relying heavily on blocking idle … have different efficiencies. This study develops a new dispatching rule for parallel-machine scheduling, considering … effective and efficient scheduling. …

scheduling n jobs on m identical parallel machines is solved such that the expected makespan is minimised. The machines are …, three construction heuristics and an Ant Colony System (ACS) algorithm are developed for solving this integrated problem …

rather tricky and time consuming. To address this limitation, teaching–learning-based optimization (TLBO) and JAYA algorithm …Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical flow shop scheduling problem … flow shop and parallel machine scheduling problems is a well-known NP-hard (Non-deterministic polynomial time) problem …

-learning model. Although there are studies that use machine learning for scheduling optimization itself, it should be noted that the … Light gradient-boosted machine (LightGBM) algorithm and Ridge performed the best with MAPE and RMSE. The optimization of …Traditionally, mathematical optimization methods have been applied in manufacturing industries where production …

algorithm based on branch and price that combines methods from bin packing, scheduling and graph coloring, with appropriate … modifications. The algorithm has a good computational performance even for parallel machine scheduling without conflicting jobs …We consider an extension of classic parallel machine scheduling where a set of jobs is scheduled on identical parallel …