Title :
Optimal workload allocation between a job shop and an FMS
Author :
Tetzlaff, Ulrich A W ; Pesch, Erwin
Author_Institution :
Sch. of Manage., George Mason Univ., Fairfax, VA, USA
fDate :
2/1/1999 12:00:00 AM
Abstract :
Assuming given production requirements for a set of part types, we examine the question of how these production requirements can be assigned to different, alternative routes through two production systems, a flexible manufacturing system, and a conventional job shop. Several nonlinear optimization models are proposed in order to optimize performance parameters like throughput, work-in-process inventory, utilization, and manufacturing lead time. The models incorporate product form queueing network theory in order to evaluate system performance and extend results based on linear programming formulations. The solution procedures are based on decomposition, fixed point, and classical gradient search techniques
Keywords :
directed graphs; flexible manufacturing systems; nonlinear programming; production control; queueing theory; search problems; FMS; LP; WIP optimization; classical gradient search techniques; decomposition; fixed point search techniques; flexible manufacturing system; job shop; linear programming; manufacturing lead time optimization; nonlinear optimization models; optimal workload allocation; performance parameter optimization; product form queueing network theory; production requirements; throughput optimization; utilization optimization; work-in-process inventory; Capacity planning; Flexible manufacturing systems; Job production systems; Job shop scheduling; Linear programming; Materials requirements planning; Production systems; Queueing analysis; Resource management; System performance;
Journal_Title :
Robotics and Automation, IEEE Transactions on