Single Machine Group Scheduling with Resource Dependent Setup and Processing Times
Abstract
A single machine scheduling problem is studied. The set of n jobs has been partitioned into g groups on the basis of group technology. Jobs of the same group are required to be processed contiguously. The processing of each group is preceeded by a sequence independent setup time. The setup times and the job processing times can be linearly compressed through allocation of a continuously divisible or discrete resource. Each job uses the same amount of the resource. Each setup also uses the same amount of the resource, which may be different from that of the jobs. Polynomial time algorihms are presented to find an optimal job sequence and resource values such that the total weighted resource consumption is minimum, subject to meeting job deadlines. The algorithms are based on solving linear programming problems with two variables by geometric techniques.