Machine-based modeling of conveyor-type flowshops with application to scheduling and temperature control in slab reheating furnace

Susumu Fujii, Koji Urayama, Kenji Kashima, Jun Ichi Imura, Tetsuaki Kurokawa, Shuichi Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper proposes a novel modeling scheme for model predictive control of a class of hybrid (continuous/ discrete) flowshops, where permutation scheduling of jobs inserted into machines and control of continuous dynamics on jobs inside machines are simultaneously optimized in the conveyor-type flowshops. This modeling allows us to reduce the number of the binary decision variables in the resulting mixed integer programming (MIP) problem, thereby achieving a remarkable decrease in the computational burden of solving it. The proposed method is applied to slab reheating furnace control for a hot strip mill.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Control Applications, CCA 2010
Pages2059-2064
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 IEEE International Conference on Control Applications, CCA 2010 - Yokohama, Japan
Duration: 2010 Sept 82010 Sept 10

Publication series

NameProceedings of the IEEE International Conference on Control Applications

Other

Other2010 IEEE International Conference on Control Applications, CCA 2010
Country/TerritoryJapan
CityYokohama
Period10/9/810/9/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Mathematics(all)

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