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A User Requirement-driven Approach Incorporating TRIZ and QFD for Designing a Smart Vessel Alarm System to Reduce Alarm Fatigue

Published online by Cambridge University Press:  02 July 2019

Fan Li Open the ORCID record for Fan Li [Opens in a new window] ,
Chun-Hsien Chen ,
Ching-Hung Lee Open the ORCID record for Ching-Hung Lee [Opens in a new window]  and
Li-Pheng Khoo
Fan Li
Affiliation:
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore)
Chun-Hsien Chen
Affiliation:
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore)
Ching-Hung Lee*
Affiliation:
(School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China)
Li-Pheng Khoo
Affiliation:
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore)
*
(E-mail: [email protected])
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Abstract

Alarm fatigue is a critical safety issue, as it can increase workload and impair operators' situational awareness. This paper proposes a design methodology to enhance the interaction between alarm systems and operators. Through input from VTS personnel as the fundamental design requirements, a user requirement-driven design framework is proposed. It integrates quality function deployment, the theory of inventive problem solving, and software quality characteristics into three design phases. In Phase I, user requirements are obtained from the analysis of current working processes. Phase II investigates the specific non-functional design requirements of vessel alarm systems and the contradictions. In Phase III, the innovative principles generated with the contradiction matrix were analysed. A case study was conducted to verify and illustrate this framework, resulting in a conceptualisation design of a smart vessel alarm system.

Keywords

Vessel Traffic Service (VTS)Alarm fatigueQuality Function Deployment (QFD)Theory of inventive problem solving (TRIZ)
Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 1 , January 2020 , pp. 212 - 232
Copyright
Copyright © The Royal Institute of Navigation 2019 

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