Research on Decision Support Method for Charge Batch Planning of Steelmaking-Continuous Casting under Lagrangian Framework. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Sun, Liangliang; Yu, Yaqian; Li, Congxin; Cloete, Duncan Stephen; Bai, Song
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 11138
• Page End: 11143
• Publication Date: 2020
• Subjects: charge batch planning -- steelmaking -- continuous casting production -- Lagrangian relaxation algorithm -- adaptive search algorithm; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.278
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Charge batch planning is the bottleneck of production management planning in iron and steelmaking enterprises. The optimization of the charge batch planning process will directly influence the iron and steelmaking cost, production and energy consumption. In this paper, an effective mathematical model based on multi-objective weighting method is built up to describe the multi-performance indexes and the multi-constraints; an efficiency adaptive search algorithm based on linear augmented Lagrangian relaxation framework is proposed to alleviate the problem of sawtooth oscillation when the traditional Lagrangian algorithm searches within the feasible domain. The strategy proposed in this paper is verified based on the background of the actual steelmaking and continuous casting management process in China steelmaking plant. The optimization results guarantee the solution quality and speed of charge batch planning of steelmaking-continuous casting.