We present an approximation method for the hybrid flow shop scheduling problem based on relaxation and machine learning techniques. Our model combines a suitable relaxation of the objective function to a continuous solution space with a self-supervised learning method for neural networks, which...

We present an approximation method for the hybrid flow shop scheduling problem based on relaxation and machine learning techniques. Our model combines a suitable relaxation of the objective function to a continuous solution space with a self-supervised learning method for neural networks, which...

Purpose: This research develops a batch scheduling model for a three-stage flow shop with job processors in the first and second stages and a batch processor in the third stage. The model integrates production process activities and a product inspection activity to minimize the expected total...

Purpose: This research develops a batch scheduling model for a three-stage flow shop with job processors in the first and second stages and a batch processor in the third stage. The model integrates production process activities and a product inspection activity to minimize the expected total...

Today, logistics plays increasingly recognized role in the production and service activities, and thus the demand for logistics professionals in Europe has been increased. Logistics education is related to two areas of the training, the training of the technical engineers and of the economists....

Today, logistics plays increasingly recognized role in the production and service activities, and thus the demand for logistics professionals in Europe has been increased. Logistics education is related to two areas of the training, the training of the technical engineers and of the economists....