Modeling and solving the steelmaking and casting scheduling problem

We propose a general model for the problem of planning and scheduling steelmaking and casting activities obtained by combining common features and constraints of the operations from a real plant and the literature. For tackling the problem, we develop a simulated annealing approach based on a soluti...

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Veröffentlicht in:International transactions in operational research 2020-01, Vol.27 (1), p.57-90
Hauptverfasser: Armellini, Davide, Borzone, Paolo, Ceschia, Sara, Di Gaspero, Luca, Schaerf, Andrea
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container_title International transactions in operational research
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creator Armellini, Davide
Borzone, Paolo
Ceschia, Sara
Di Gaspero, Luca
Schaerf, Andrea
description We propose a general model for the problem of planning and scheduling steelmaking and casting activities obtained by combining common features and constraints of the operations from a real plant and the literature. For tackling the problem, we develop a simulated annealing approach based on a solution space made of job permutations, which uses as submodule a chronological constructive procedure that assigns processing times and resources to jobs. Our technique, properly tuned in a statistically principled way, is able to find good solutions for a large range of different settings and horizons. In addition, it outperforms both a greedy procedure and a constraint‐based solver developed for comparison purposes on almost all instances. Finally, we have collected several real‐world instances that we make available on the web along with the solution validator and our best results.
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subjects Computer simulation
continuous casting
hybrid flow shop
Operations research
Permutations
Production scheduling
Scheduling
Simulated annealing
Solution space
Steel making
steelmaking
title Modeling and solving the steelmaking and casting scheduling problem
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