TY - GEN

T1 - Integer Linear Programming in Solving an Optimization Problem at the Mixing Department of the Metallurgical Production

T2 - book chapter

AU - Gainanov, Damir N.

AU - Berenov, Dmitriy A.

AU - Nikolaev, Egor A.

AU - Rasskazova, Varvara A.

N1 - The paper was prepared with support of the Russian Scientific Fund. Project Nō 23-21-00293 “Optimization of discrete systems in problems of logistic using integer linear programming approach and graph theory methods”.

PY - 2023/2/5

Y1 - 2023/2/5

N2 - The paper is devoted to investigate of the optimization problem on the mixing department processes at the metallurgical production. The problem is to unload transportation ladles into the iron ladles in such a way, to provide a timely and continues exchange between domain department and the mixing one, as well as between mixing department and converter shop-floor. This stage of technological chain plays the most important role for timely delivery of iron ladles to the converter shopfloor and for execution of the production plan in general. To solve the problem under consideration there proposed an integer linear programming model, which takes into account all technological restrictions on the mixing department processes. There constructed a special set of variables, which allowed one to formalize both a complex system of constraints an objective function. To demonstrate an effectiveness and powerful of the proposed approach, there were carried out a computational experiment using realworld data on the mixing department processes at the metallurgical production.

AB - The paper is devoted to investigate of the optimization problem on the mixing department processes at the metallurgical production. The problem is to unload transportation ladles into the iron ladles in such a way, to provide a timely and continues exchange between domain department and the mixing one, as well as between mixing department and converter shop-floor. This stage of technological chain plays the most important role for timely delivery of iron ladles to the converter shopfloor and for execution of the production plan in general. To solve the problem under consideration there proposed an integer linear programming model, which takes into account all technological restrictions on the mixing department processes. There constructed a special set of variables, which allowed one to formalize both a complex system of constraints an objective function. To demonstrate an effectiveness and powerful of the proposed approach, there were carried out a computational experiment using realworld data on the mixing department processes at the metallurgical production.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85148487663

U2 - 10.1007/978-3-031-24866-5_12

DO - 10.1007/978-3-031-24866-5_12

M3 - Conference contribution

SN - 978-303124865-8

T3 - Learning and Intelligent Optimization

SP - 145

EP - 161

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Simos, D. E.

A2 - Rasskazova, V. A.

PB - Springer

ER -