Systems engineering approach to risk assessment of automated mobile work machine applications

Risto Tiusanen

doi:10.1007/978-3-319-09507-3_151

Systems engineering approach to risk assessment of automated mobile work machine applications

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

Abstract

Mobile work machines are today equipped with automatic functionalities. There are fully autonomous mobile work machines operating in factories, mines and harbor terminals. Needs for better productivity, better mobile work machine utility and higher work quality in work sites is driving the work process management towards automated production instead of improving the management of separate manual work machine operations. Safety risks related to automated mobile work machine applications are dependent on several operation condition factors such as mode of operation, level of automation, human-machine-interaction, performed work task and working environment. System safety approach that has been developed among others for aviation, military, process industry and railroad systems is introduced as a solution for safety risk management for complex mobile work machine applications. An application of systems engineering based approach, supporting tools and methods have been developed in close co-operation with mobile work machine manufactures, system suppliers and system end users for automated mobile work machine applications. This chapter describes the developed safety engineering methodology and some evaluation results based on experiences from industrial case studies.

Original language	English
Title of host publication	Engineering Asset Management
Subtitle of host publication	Systems, Professional Practices and Certification
Publisher	Springer
Pages	1763-1774
ISBN (Electronic)	978-3-319-09507-3
ISBN (Print)	978-3-319-09506-6
DOIs	https://doi.org/10.1007/978-3-319-09507-3_151
Publication status	Published - 30 Nov 2014
MoE publication type	A4 Article in a conference publication
Event	8th World Congress on Engineering Asset Management, WCEAM 2013 and the 3rd International Conference on Utility Management and Safety, ICUMAS - Hong Kong, China Duration: 30 Oct 2013 → 1 Nov 2013 Conference number: 8

Publication series

Series	Lecture Notes in Mechanical Engineering
Volume	19
ISSN	2195-4356

Conference

Conference	8th World Congress on Engineering Asset Management, WCEAM 2013 and the 3rd International Conference on Utility Management and Safety, ICUMAS
Abbreviated title	WCEAM 2013
Country/Territory	China
City	Hong Kong
Period	30/10/13 → 1/11/13

Keywords

risk assessment
system safety
container terminal
safety engineering
life cycle phase
hazard identification

Access to Document

10.1007/978-3-319-09507-3_151

Cite this

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title = "Systems engineering approach to risk assessment of automated mobile work machine applications",

abstract = "Mobile work machines are today equipped with automatic functionalities. There are fully autonomous mobile work machines operating in factories, mines and harbor terminals. Needs for better productivity, better mobile work machine utility and higher work quality in work sites is driving the work process management towards automated production instead of improving the management of separate manual work machine operations. Safety risks related to automated mobile work machine applications are dependent on several operation condition factors such as mode of operation, level of automation, human-machine-interaction, performed work task and working environment. System safety approach that has been developed among others for aviation, military, process industry and railroad systems is introduced as a solution for safety risk management for complex mobile work machine applications. An application of systems engineering based approach, supporting tools and methods have been developed in close co-operation with mobile work machine manufactures, system suppliers and system end users for automated mobile work machine applications. This chapter describes the developed safety engineering methodology and some evaluation results based on experiences from industrial case studies.",

keywords = "risk assessment, system safety, container terminal, safety engineering, life cycle phase, hazard identification",

author = "Risto Tiusanen",

note = "Project : 71112 ; 8th World Congress on Engineering Asset Management, WCEAM 2013 and the 3rd International Conference on Utility Management and Safety, ICUMAS, WCEAM 2013 ; Conference date: 30-10-2013 Through 01-11-2013",

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language = "English",

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series = "Lecture Notes in Mechanical Engineering",

publisher = "Springer",

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}

Tiusanen, R 2014, Systems engineering approach to risk assessment of automated mobile work machine applications. in Engineering Asset Management: Systems, Professional Practices and Certification. Springer, Lecture Notes in Mechanical Engineering, vol. 19, pp. 1763-1774, 8th World Congress on Engineering Asset Management, WCEAM 2013 and the 3rd International Conference on Utility Management and Safety, ICUMAS, Hong Kong, China, 30/10/13. https://doi.org/10.1007/978-3-319-09507-3_151

Systems engineering approach to risk assessment of automated mobile work machine applications. / Tiusanen, Risto.
Engineering Asset Management: Systems, Professional Practices and Certification. Springer, 2014. p. 1763-1774 (Lecture Notes in Mechanical Engineering, Vol. 19).

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

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N2 - Mobile work machines are today equipped with automatic functionalities. There are fully autonomous mobile work machines operating in factories, mines and harbor terminals. Needs for better productivity, better mobile work machine utility and higher work quality in work sites is driving the work process management towards automated production instead of improving the management of separate manual work machine operations. Safety risks related to automated mobile work machine applications are dependent on several operation condition factors such as mode of operation, level of automation, human-machine-interaction, performed work task and working environment. System safety approach that has been developed among others for aviation, military, process industry and railroad systems is introduced as a solution for safety risk management for complex mobile work machine applications. An application of systems engineering based approach, supporting tools and methods have been developed in close co-operation with mobile work machine manufactures, system suppliers and system end users for automated mobile work machine applications. This chapter describes the developed safety engineering methodology and some evaluation results based on experiences from industrial case studies.

AB - Mobile work machines are today equipped with automatic functionalities. There are fully autonomous mobile work machines operating in factories, mines and harbor terminals. Needs for better productivity, better mobile work machine utility and higher work quality in work sites is driving the work process management towards automated production instead of improving the management of separate manual work machine operations. Safety risks related to automated mobile work machine applications are dependent on several operation condition factors such as mode of operation, level of automation, human-machine-interaction, performed work task and working environment. System safety approach that has been developed among others for aviation, military, process industry and railroad systems is introduced as a solution for safety risk management for complex mobile work machine applications. An application of systems engineering based approach, supporting tools and methods have been developed in close co-operation with mobile work machine manufactures, system suppliers and system end users for automated mobile work machine applications. This chapter describes the developed safety engineering methodology and some evaluation results based on experiences from industrial case studies.

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KW - life cycle phase

KW - hazard identification

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ER -

Systems engineering approach to risk assessment of automated mobile work machine applications

Abstract

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Conference

Keywords

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