A modified iterative method for optimal flow control in flexible manufacturing systems

Eugene Khmelnitsky, Konstantin Kogan, Oded Maimon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A continuous time dynamic model of scheduling problems for a large class of manufacturing systems is considered. The realistic manufacturing based on multi-level bills of materials, flexible machines, controllable buffers and deterministic demand profiles is modeled in the canonical form of optimal control. Carrying buffer costs are minimized by controlling production rates of all machines that can be set up instantly. The maximum principle for the model is studied and properties of the optimal production regimes are revealed. The solution method developed rests on the iterative approach generalizing the method of projected gradient, but takes advantage of the analytical properties of the optimal solution to reduce significantly computational efforts.
Original languageAmerican English
Title of host publicationControl Applications, 1994., Proceedings of the Third IEEE Conference on. IEEE
PublisherIEEE
StatePublished - 1994

Bibliographical note

Place of conference:UK

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