Optimal control for steel annealing processes as hybrid systems

This paper formulates and solves an optimal control problem for steel annealing manufacturing processes involving one or more furnaces integrated with plant-wide planning and scheduling operations. We use a hybrid system framework to capture the tradeoff between metallurgical quality requirements an...

Full description

Saved in:
Bibliographic Details
Published in:Control engineering practice 2004-10, Vol.12 (10), p.1319-1328
Main Authors: Cho, Young C, Cassandras, Christos G, Kwon, Wook Hyun
Format: Article
Language:English
Subjects:
Annealing process
Hybrid system
Manufacturing system
Optimal control
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper formulates and solves an optimal control problem for steel annealing manufacturing processes involving one or more furnaces integrated with plant-wide planning and scheduling operations. We use a hybrid system framework to capture the tradeoff between metallurgical quality requirements and timely product delivery. The resulting nonconvex and nondifferentiable problem is solved by decomposing it into several smaller and simpler constrained convex optimization subproblems. Although the number of such subproblems appears to be combinationally large in the number N of jobs to be completed, we use a recently developed approach called the forward decomposition algorithm for identifying only N such problems and provide some explicit numerical results.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2004.04.015