Methods and Tools of Improving Steel Manufacturing Processes: Current State and Future Methods

Jere Backman; Vesa Kyllönen; Heli Helaakoski

doi:10.1016/j.ifacol.2019.11.355

Methods and Tools of Improving Steel Manufacturing Processes: Current State and Future Methods

Jere Backman (Corresponding Author), Vesa Kyllönen, Heli Helaakoski

Research output: Contribution to journal › Article in a proceedings journal › Scientific › peer-review

5 Citations (Scopus)

Abstract

The steel industry is continuously looking for new ways to improve resource efficiency and sustainability due to high dependence on resources and increasing demand for more sustainable production. There are general tools and methodologies available and applicable for a wide range of production processes. The general tools and methodologies have similar characteristics as the domain specific tools needed or already utilized in the steel industry. However, there is still clear need for integration, further development, domain specific modelling, utilizing artificial intelligence and machine learning. This paper reviews the current state and recent developments of plant coordination & control, raw materials & energy optimization and quality management in steel industry and discusses the future methods and developments.

Original language	English
Pages (from-to)	1174-1179
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	52
Issue number	13
DOIs	https://doi.org/10.1016/j.ifacol.2019.11.355
Publication status	Published - 2019
MoE publication type	A4 Article in a conference publication
Event	9th IFAC Conference on Manufacturing Modelling, Management and Control - Berlin, Germany Duration: 28 Aug 2019 → 30 Aug 2019

Keywords

Steel industry
Plants
Process systems
Co-ordination
Control
Optimization
Quality

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ifacol.2019.11.355Licence: CC BY-NC-ND

Cite this

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title = "Methods and Tools of Improving Steel Manufacturing Processes: Current State and Future Methods",

abstract = "The steel industry is continuously looking for new ways to improve resource efficiency and sustainability due to high dependence on resources and increasing demand for more sustainable production. There are general tools and methodologies available and applicable for a wide range of production processes. The general tools and methodologies have similar characteristics as the domain specific tools needed or already utilized in the steel industry. However, there is still clear need for integration, further development, domain specific modelling, utilizing artificial intelligence and machine learning. This paper reviews the current state and recent developments of plant coordination & control, raw materials & energy optimization and quality management in steel industry and discusses the future methods and developments.",

keywords = "Steel industry, Plants, Process systems, Co-ordination, Control, Optimization, Quality",

author = "Jere Backman and Vesa Kyll{\"o}nen and Heli Helaakoski",

note = "Funding Information: Tih s project has received nfu id ng from teh European Union{\textquoteright}s rH izno 2020 researh c and innao tion prgo am nu d r grant agreem nt No 768652, S ire prejo c e”M l-based optimisatino rfo efficient se of ru esources and ener”.yg Publisher Copyright: {\textcopyright} 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.; 9th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2019 ; Conference date: 28-08-2019 Through 30-08-2019",

year = "2019",

doi = "10.1016/j.ifacol.2019.11.355",

language = "English",

volume = "52",

pages = "1174--1179",

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T2 - 9th IFAC Conference on Manufacturing Modelling, Management and Control

AU - Backman, Jere

AU - Kyllönen, Vesa

AU - Helaakoski, Heli

N1 - Funding Information: Tih s project has received nfu id ng from teh European Union’s rH izno 2020 researh c and innao tion prgo am nu d r grant agreem nt No 768652, S ire prejo c e”M l-based optimisatino rfo efficient se of ru esources and ener”.yg Publisher Copyright: © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

PY - 2019

Y1 - 2019

N2 - The steel industry is continuously looking for new ways to improve resource efficiency and sustainability due to high dependence on resources and increasing demand for more sustainable production. There are general tools and methodologies available and applicable for a wide range of production processes. The general tools and methodologies have similar characteristics as the domain specific tools needed or already utilized in the steel industry. However, there is still clear need for integration, further development, domain specific modelling, utilizing artificial intelligence and machine learning. This paper reviews the current state and recent developments of plant coordination & control, raw materials & energy optimization and quality management in steel industry and discusses the future methods and developments.

AB - The steel industry is continuously looking for new ways to improve resource efficiency and sustainability due to high dependence on resources and increasing demand for more sustainable production. There are general tools and methodologies available and applicable for a wide range of production processes. The general tools and methodologies have similar characteristics as the domain specific tools needed or already utilized in the steel industry. However, there is still clear need for integration, further development, domain specific modelling, utilizing artificial intelligence and machine learning. This paper reviews the current state and recent developments of plant coordination & control, raw materials & energy optimization and quality management in steel industry and discusses the future methods and developments.

KW - Steel industry

KW - Plants

KW - Process systems

KW - Co-ordination

KW - Control

KW - Optimization

KW - Quality

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DO - 10.1016/j.ifacol.2019.11.355

M3 - Article in a proceedings journal

SN - 2405-8971

VL - 52

SP - 1174

EP - 1179

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 13

Y2 - 28 August 2019 through 30 August 2019

ER -

Methods and Tools of Improving Steel Manufacturing Processes: Current State and Future Methods

Abstract

Keywords

UN SDGs

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MORSE: Model-based optimisation for efficient use of resources and energy

Cite this

Methods and Tools of Improving Steel Manufacturing Processes: Current State and Future Methods

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

MORSE: Model-based optimisation for efficient use of resources and energy

Cite this