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DOI

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.
Язык оригиналаАнглийский
Название основной публикацииLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Подзаголовок основной публикацииbook
РедакторыD. E. Simos, V. A. Rasskazova
ИздательSpringer
ГлаваChapter 12
Страницы145-161
Число страниц16
ISBN (печатное издание)978-303124865-8
DOI
СостояниеОпубликовано - 5 февр. 2023

Серия публикаций

НазваниеLearning and Intelligent Optimization
Том13621
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

    Предметные области ASJC Scopus

  • Компьютерные науки в целом
  • Theoretical Computer Science

ID: 35502089