2016/11/11 by Onur Ozturk, Onur Öztürk, Mehmet A. Begen +1
Engineering · Computer Science · #Scheduling and Optimization Algorithms #Optimization and Packing Problems #Optimization and Search Problems
paper · doi:10.1080/00207543.2016.1253889
In this paper, we present a branch and bound algorithm for the parallel batch scheduling of jobs having different processing times, release dates and unit sizes. There are identical machines with a fixed capacity and the number of jobs in a batch cannot exceed the machine capacity. All batched jobs are processed together and the processing time of a batch is given by the greatest processing time of jobs in that batch. We compare our method to a mixed integer program as well as a method from the literature that is capable of optimally solving instances with a single machine. Computational experiments show that our method is much more efficient than the other two methods in terms of solution time for finding the optimal solution.