Title :
Scheduling multiple part-types in an unreliable single machine manufacturing system
Author :
Perkins, James R. ; Srikant, R.
Author_Institution :
Dept. of Manuf. Eng., Boston Univ., MA, USA
Abstract :
Quadratic approximations to the differential cost-to-go function, which yield linear switching curves, have been extensively studied. In this paper, the authors provide the solution to the partial differential equations associated with the steady-state joint probability density function of the buffer levels for two part-type, single machine flexible manufacturing systems under a linear switching curve (LSC) policy. When there are more than two part-types, the authors derive the density functions under a prioritized hedging point (PHP) policy by decomposing the multiple part-type problem into a sequence of single part-type problems. The expressions for the steady-state density functions are independent of the cost function. Therefore, for additive cost functions that are non-linear in the buffer levels, one can compute the optimal PHP policy, or the more general optimal LSC policy for two part-type problems
Keywords :
partial differential equations; probability; production control; reliability; additive cost functions; density functions; differential cost-to-go function; linear switching curves; multiple part-types scheduling; partial differential equations; prioritized hedging point policy; quadratic approximations; steady-state density functions; steady-state joint probability density function; unreliable single machine manufacturing system; Cost function; Density functional theory; Equations; Flexible manufacturing systems; Job shop scheduling; Manufacturing systems; Probability density function; Production; Single machine scheduling; Steady-state;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.533814