Some Insights into Near-Optimal Plans for Stochastic Manufacturing Systems
MATHEMATICS OF STOCHASTIC MANUFACTURING SYSTEMS: LECTURES IN APPLIED MATHEMATICS, G. Yin, Q. Zhang, eds., Vol. 33, pp. 287-315, American Mathematical Society, Providence, RI, 1997
39 Pages Posted: 16 Jan 2009
Date Written: January, 14 2009
Abstract
We present some insights obtained from the considerable research that has accumulated in proving that a hierarchical decomposition based on the frequencies of occurence of different types of events in the system results in near-optimal decisions as the rates of some events become large compared to those of others. In the simple context of dynamic two-machine flowshops, we observe a capacity loss phenomenon which must be accounted for in any construction of a near-optimal decision. We also show that a threshold-type control known as Kanban control is nearly optimal in some cases and not in others.
Keywords: Hierarchical manufacturing systems, hierarchical decomposition, singular perturbations, time-scale decomposition, flowshop, production planning, threshold-type control, Kanban control, near-optimal solutions, stochastic control, optimal control, capacity loss phenomenon
JEL Classification: C00, C61, M11
Suggested Citation: Suggested Citation