Optimal inter-process steel production scheduling
Computers and Operations Research
Discrete event sequencing as a Traveling Salesman Problem
Computers in Industry
Primary production scheduling at steelmaking industries
IBM Journal of Research and Development
Evaluation of ordering strategies for constraint satisfaction reactive scheduling
Decision Support Systems
Modeling rolling batch planning as vehicle routing problem with time windows
Computers and Operations Research
Scheduling in Computer and Manufacturing Systems
Scheduling in Computer and Manufacturing Systems
Scheduling Algorithms
Finishing line scheduling in the steel industry
IBM Journal of Research and Development
HM'06 Proceedings of the Third international conference on Hybrid Metaheuristics
An efficient optimal solution to the coil sequencing problem in electro-galvanizing line
Computers and Operations Research
Development of hybrid evolutionary algorithms for production scheduling of hot strip mill
Computers and Operations Research
Hi-index | 0.01 |
In this paper we address a sequencing problem in a Continuous Galvanizing Line of a Spanish Steel Company. Production scheduling in this context is an extremely complex task which needs to take into account many constraints. We present a conceptually simple model and a Tabu Search (TS) algorithm that efficiently solves it. The TS moves are defined in order to repair non-satisfied constraints, leading to smaller and more efficient neighbourhoods. The TS co-ordinates several intensification and diversification procedures guided by an evaluation function based on a shifting penalty strategy. This function reinforces the anticycling mechanism and makes the algorithm avoid already visited solutions. Our approach has been tested on some real instances from the galvanizing line. Computational results show that the TS improves, in all instances, the company solutions.