Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach

Lei Shi; Linda B Newnes; Steve Culley; James A Gopsill; Simon L Jones; Chris Snider

Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach

Lei Shi
, Linda B Newnes
, Steve Culley
, James A Gopsill
, Simon L Jones
, Chris Snider

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

6 Citations (Scopus)

159 Downloads (Pure)

Abstract

Nowadays manufacturing involves high volume of complex operational processes, distributed resources and international/intersectional collaborations, which cause the evaluation of performance for related engineering projects to become a challenge. The performance of project is a key factor that determines the quality of output, and its temporal changes could reflect the status of project execution at current time, as well as indicate the potential issues for the near future. As a result, monitoring the change of performance is an essential approach to ensure the project execution is on track. It could raise awareness of project participants upon any issue occurs, and enable them to make appropriate decisions on a real-time basis.

To facilitate the evaluation of project performance in collaborative environments, this research aims to propose an automatic approach to extracting key performance indicators (KPIs) from project related data, and also to demonstrate how the domain knowledge can facilitate the process of KPIs identification and visualisation.

Original language	English
Title of host publication	DS 80-3 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3
Subtitle of host publication	Organisation and Management, Milan, Italy, 27-30.07.15
Editors	Christian Weber, Stephan Husung, Marco Cantamessa, Gaetano Cascini, Dorian Marjanovic, Francesca Montagna
Publisher	The Design Society
Pages	377-386
Number of pages	10
Volume	3
ISBN (Print)	9781904670667
Publication status	Published - 27 Jul 2015

Publication series

Name	Proceedings of the International Conference on Engineering Design (ICED)
Publisher	The Design Society
Number	3
Volume	80
ISSN (Print)	2220-4334

Keywords

Complexity
Decision making
Knowledge management
Visualisation

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LOCM: The Language of Collaborative Manufacturing
Gopsill, J. A. (Researcher), McAlpine, H. C. (Manager), McMahon, C. A. (Co-Principal Investigator), Snider, C. M. (Researcher), Shi, L. (Researcher), Watts, L. (Co-Principal Investigator), Jones, S. (Researcher), Johnson, P. (Co-Principal Investigator), Newnes, L. (Co-Principal Investigator), Payne, S. (Co-Principal Investigator), Culley, S. (Co-Principal Investigator) & Hicks, B. J. (Principal Investigator)
1/02/13 → 31/07/18
Project: Research

Cite this

Shi, L., Newnes, L. B., Culley, S., Gopsill, J. A., Jones, S. L., & Snider, C. (2015). Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach. In C. Weber, S. Husung, M. Cantamessa, G. Cascini, D. Marjanovic, & F. Montagna (Eds.), DS 80-3 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3: Organisation and Management, Milan, Italy, 27-30.07.15 (Vol. 3, pp. 377-386). (Proceedings of the International Conference on Engineering Design (ICED); Vol. 80, No. 3). The Design Society. https://www.designsociety.org/publication/37743/identifying_and_visualising_kpis_for_collaborative_engineering_projects_a_knowledge_based_approach

Shi, Lei ; Newnes, Linda B ; Culley, Steve et al. / Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach. DS 80-3 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3: Organisation and Management, Milan, Italy, 27-30.07.15. editor / Christian Weber ; Stephan Husung ; Marco Cantamessa ; Gaetano Cascini ; Dorian Marjanovic ; Francesca Montagna. Vol. 3 The Design Society, 2015. pp. 377-386 (Proceedings of the International Conference on Engineering Design (ICED); 3).

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title = "Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach",

abstract = "Nowadays manufacturing involves high volume of complex operational processes, distributed resources and international/intersectional collaborations, which cause the evaluation of performance for related engineering projects to become a challenge. The performance of project is a key factor that determines the quality of output, and its temporal changes could reflect the status of project execution at current time, as well as indicate the potential issues for the near future. As a result, monitoring the change of performance is an essential approach to ensure the project execution is on track. It could raise awareness of project participants upon any issue occurs, and enable them to make appropriate decisions on a real-time basis. To facilitate the evaluation of project performance in collaborative environments, this research aims to propose an automatic approach to extracting key performance indicators (KPIs) from project related data, and also to demonstrate how the domain knowledge can facilitate the process of KPIs identification and visualisation.",

keywords = "Complexity, Decision making, Knowledge management, Visualisation",

author = "Lei Shi and Newnes, \{Linda B\} and Steve Culley and Gopsill, \{James A\} and Jones, \{Simon L\} and Chris Snider",

year = "2015",

month = jul,

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language = "English",

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volume = "3",

series = "Proceedings of the International Conference on Engineering Design (ICED)",

publisher = "The Design Society",

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pages = "377--386",

editor = "Christian Weber and Stephan Husung and Marco Cantamessa and Gaetano Cascini and Dorian Marjanovic and Francesca Montagna",

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}

Shi, L, Newnes, LB, Culley, S, Gopsill, JA, Jones, SL & Snider, C 2015, Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach. in C Weber, S Husung, M Cantamessa, G Cascini, D Marjanovic & F Montagna (eds), DS 80-3 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3: Organisation and Management, Milan, Italy, 27-30.07.15. vol. 3, Proceedings of the International Conference on Engineering Design (ICED), no. 3, vol. 80, The Design Society, pp. 377-386. <https://www.designsociety.org/publication/37743/identifying_and_visualising_kpis_for_collaborative_engineering_projects_a_knowledge_based_approach>

Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach. / Shi, Lei; Newnes, Linda B; Culley, Steve et al.
DS 80-3 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3: Organisation and Management, Milan, Italy, 27-30.07.15. ed. / Christian Weber; Stephan Husung; Marco Cantamessa; Gaetano Cascini; Dorian Marjanovic; Francesca Montagna. Vol. 3 The Design Society, 2015. p. 377-386 (Proceedings of the International Conference on Engineering Design (ICED); Vol. 80, No. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach

AU - Shi, Lei

AU - Newnes, Linda B

AU - Culley, Steve

AU - Gopsill, James A

AU - Jones, Simon L

AU - Snider, Chris

PY - 2015/7/27

Y1 - 2015/7/27

N2 - Nowadays manufacturing involves high volume of complex operational processes, distributed resources and international/intersectional collaborations, which cause the evaluation of performance for related engineering projects to become a challenge. The performance of project is a key factor that determines the quality of output, and its temporal changes could reflect the status of project execution at current time, as well as indicate the potential issues for the near future. As a result, monitoring the change of performance is an essential approach to ensure the project execution is on track. It could raise awareness of project participants upon any issue occurs, and enable them to make appropriate decisions on a real-time basis. To facilitate the evaluation of project performance in collaborative environments, this research aims to propose an automatic approach to extracting key performance indicators (KPIs) from project related data, and also to demonstrate how the domain knowledge can facilitate the process of KPIs identification and visualisation.

AB - Nowadays manufacturing involves high volume of complex operational processes, distributed resources and international/intersectional collaborations, which cause the evaluation of performance for related engineering projects to become a challenge. The performance of project is a key factor that determines the quality of output, and its temporal changes could reflect the status of project execution at current time, as well as indicate the potential issues for the near future. As a result, monitoring the change of performance is an essential approach to ensure the project execution is on track. It could raise awareness of project participants upon any issue occurs, and enable them to make appropriate decisions on a real-time basis. To facilitate the evaluation of project performance in collaborative environments, this research aims to propose an automatic approach to extracting key performance indicators (KPIs) from project related data, and also to demonstrate how the domain knowledge can facilitate the process of KPIs identification and visualisation.

KW - Complexity

KW - Decision making

KW - Knowledge management

KW - Visualisation

M3 - Conference Contribution (Conference Proceeding)

SN - 9781904670667

VL - 3

T3 - Proceedings of the International Conference on Engineering Design (ICED)

SP - 377

EP - 386

BT - DS 80-3 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3

A2 - Weber, Christian

A2 - Husung, Stephan

A2 - Cantamessa, Marco

A2 - Cascini, Gaetano

A2 - Marjanovic, Dorian

A2 - Montagna, Francesca

PB - The Design Society

ER -

Shi L, Newnes LB, Culley S, Gopsill JA, Jones SL, Snider C. Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach. In Weber C, Husung S, Cantamessa M, Cascini G, Marjanovic D, Montagna F, editors, DS 80-3 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 3: Organisation and Management, Milan, Italy, 27-30.07.15. Vol. 3. The Design Society. 2015. p. 377-386. (Proceedings of the International Conference on Engineering Design (ICED); 3).

Identifying and Visualising KPIs for Collaborative Engineering Projects: a Knowledge Based Approach

Abstract

Publication series

Keywords

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LOCM: The Language of Collaborative Manufacturing

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