Business view on the development of industrial plant-wide optimization tool

Jukka Hemilä; Jani Jansson

doi:10.1109/POMS.2018.8629458

Business view on the development of industrial plant-wide optimization tool

Jukka Hemilä
, Jani Jansson

Metso Outotec Finland Oy

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

174 Downloads (Pure)

Abstract

The process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. Plant-wide monitoring and control is a requirement for achieving economically and environmentally efficient operation. The Coordinating Optimization of Complex Industrial Processes (COCOP) project's objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods, and provides a means to monitor and control large industrial production processes. This paper looks at the COCOP development from the business perspective of a copper-smelting pilot case. Business Model Canvas and Business Environmental Map methodologies were used in the pilot case workshops for studying potential business models and business environments related to the COCOP solution.

Original language	English
Title of host publication	2018 International Conference on Production and Operations Management Society
Subtitle of host publication	POMS 2018
Publisher	IEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)	978-1-5386-9500-5, 978-1-5386-9499-2
ISBN (Print)	978-1-5386-9514-2
DOIs	https://doi.org/10.1109/POMS.2018.8629458
Publication status	Published - 2 Jul 2018
MoE publication type	A4 Article in a conference publication
Event	2018 International Conference on Production and Operations Management Society, POMS 2018 - Kandy, Sri Lanka Duration: 14 Dec 2018 → 16 Dec 2018

Conference

Conference	2018 International Conference on Production and Operations Management Society, POMS 2018
Abbreviated title	POMS 2018
Country/Territory	Sri Lanka
City	Kandy
Period	14/12/18 → 16/12/18

Funding

ACKNOWLEDGMENT The COCOP consortium consists of 12 partners from six European countries (Finland, Sweden, Denmark, Germany, the Netherlands and Spain). The consortium is, for the purpose of the project, well balanced with both research and commercial organizations (five research organizations and seven companies, four of which are SMEs) covering several sectors of the industry: steel, nutritional and materials products, automation technology providers, consultancy and software. The COCOP project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723661. This article reflects only the author’s views and the Commission is not responsible for any use that may be made of the information contained therein.

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Business environment
Business model
Modelling
Optimization

Access to Document

10.1109/POMS.2018.8629458

Manuscript versionAccepted author manuscript, 277 KB

Cite this

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title = "Business view on the development of industrial plant-wide optimization tool",

abstract = "The process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. Plant-wide monitoring and control is a requirement for achieving economically and environmentally efficient operation. The Coordinating Optimization of Complex Industrial Processes (COCOP) project's objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods, and provides a means to monitor and control large industrial production processes. This paper looks at the COCOP development from the business perspective of a copper-smelting pilot case. Business Model Canvas and Business Environmental Map methodologies were used in the pilot case workshops for studying potential business models and business environments related to the COCOP solution.",

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Hemilä, J & Jansson, J 2018, Business view on the development of industrial plant-wide optimization tool. in 2018 International Conference on Production and Operations Management Society: POMS 2018., 8629458, IEEE Institute of Electrical and Electronic Engineers, 2018 International Conference on Production and Operations Management Society, POMS 2018, Kandy, Sri Lanka, 14/12/18. https://doi.org/10.1109/POMS.2018.8629458

Business view on the development of industrial plant-wide optimization tool. / Hemilä, Jukka; Jansson, Jani.
2018 International Conference on Production and Operations Management Society: POMS 2018. IEEE Institute of Electrical and Electronic Engineers, 2018. 8629458.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Business view on the development of industrial plant-wide optimization tool

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AU - Jansson, Jani

PY - 2018/7/2

Y1 - 2018/7/2

N2 - The process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. Plant-wide monitoring and control is a requirement for achieving economically and environmentally efficient operation. The Coordinating Optimization of Complex Industrial Processes (COCOP) project's objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods, and provides a means to monitor and control large industrial production processes. This paper looks at the COCOP development from the business perspective of a copper-smelting pilot case. Business Model Canvas and Business Environmental Map methodologies were used in the pilot case workshops for studying potential business models and business environments related to the COCOP solution.

AB - The process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. Plant-wide monitoring and control is a requirement for achieving economically and environmentally efficient operation. The Coordinating Optimization of Complex Industrial Processes (COCOP) project's objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods, and provides a means to monitor and control large industrial production processes. This paper looks at the COCOP development from the business perspective of a copper-smelting pilot case. Business Model Canvas and Business Environmental Map methodologies were used in the pilot case workshops for studying potential business models and business environments related to the COCOP solution.

KW - Business environment

KW - Business model

KW - Modelling

KW - Optimization

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U2 - 10.1109/POMS.2018.8629458

DO - 10.1109/POMS.2018.8629458

M3 - Conference article in proceedings

AN - SCOPUS:85062846429

SN - 978-1-5386-9514-2

BT - 2018 International Conference on Production and Operations Management Society

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 2018 International Conference on Production and Operations Management Society, POMS 2018

Y2 - 14 December 2018 through 16 December 2018

ER -

Business view on the development of industrial plant-wide optimization tool

Abstract

Conference

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

COCOP: Coordinating Optimisation of Complex Industrial Processes

Cite this

Business view on the development of industrial plant-wide optimization tool

Abstract

Conference

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Projects

COCOP: Coordinating Optimisation of Complex Industrial Processes

Cite this