Hostname: page-component-848d4c4894-pftt2 Total loading time: 0 Render date: 2024-05-16T22:25:49.796Z Has data issue: false hasContentIssue false
  • English
  • Français

Collaborative and Participatory Design: Assignment of Team Members to Engineering Projects with the Consideration of Designer’s Expectations

Part of: Collaborative Design

Published online by Cambridge University Press:  26 July 2019

Guangying Jin ,
Séverine Sperandio  and
Philippe Girard

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

With the trend of global collaboration and development of Internet of Things in industry 4.0, the collaboration relationships between designers is getting more close and important than before. Therefore, when project manager assign designers to design projects, it is very important for them to select design projects with the consider about the expectations of the designers regarding the different projects and collaboration ability for the designers in the projects while it is very important to identify the projects with the consideration of skills, experiences, availabilities and so on. Even though, there are various methods for selecting projects, most of these methods not consider about the expectations of designer and the collaboration ability. Therefore, in this paper, we propose a project selection methodology, which consider about the designers’ expectations to the candidate multi-project and collaboration ability in the candidate multi-project. The main objective of our research is to help project manager to find an adaptable and comfortable multi- project to the designer.

Keywords

Collaborative designProject managementTeamworkProject selectionDesigner expectations
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 59 - 68
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

References

Babu, A. J. G. and Suresh, N. (1996), “Project management with time, cost, and quality considerations”, European Journal of Operational Research, Vol. 88 No. 2, pp. 320–327.10.1016/0377-2217(94)00202-9Google Scholar
Betz, A. and Pottinga, U. (2012), “The seven levels of personal, group and organizational effectiveness”, BEabove Leadership. http://www.beaboveleadership.com/Google Scholar
Engwall, M. and Jerbrant, A. (2003), “The resource allocation syndrome: the prime challenge of multi-project management?”, Int. J. Proj. Manag. Vol. 21 No. 6, pp. 403–409. http://dx.doi.org/10.1016/s0263-7863(02)00113-8.Google Scholar
Girard, P. and Robin, V. (2006), “Analysis of collaboration for project design management”, Computers in industry, Vol. 57 No. 8, pp. 817–826.10.1016/j.compind.2006.04.016Google Scholar
Gubbi, J., Buyya, R., Marusic, S. and Palaniswami, M., (2013), “Internet of Things (IoT): A vision, architectural elements, and future directions”, Future generation computer systems, Vol. 29 No. 7, pp. 1645–1660.10.1016/j.future.2013.01.010Google Scholar
Kaiser, M. G., El Arbi, F. and Ahlemann, F. (2015), “Successful project portfolio management beyond project selection techniques: Understanding the role of structural alignment”, International Journal of Project Management, Vol. 33 No. 1, pp. 126–139.10.1016/j.ijproman.2014.03.002Google Scholar
Karageorgos, A., Rapti, E. and Gerogiannis, V. C. (2015), “Resource Allocation in Software Projects using a Bio-inspired Model”, Journal of Software, pp. 19–20.Google Scholar
Lee, J., Bagheri, B. and Kao, H. A. (2015), “A cyber-physical systems architecture for industry 4.0-based manufacturing systems”, Manufacturing Letters, Vol. 3, pp. 18–23.10.1016/j.mfglet.2014.12.001Google Scholar
Loredo, E. O. and Picos, C. (2014), “The Influence of the Human Resource Allocation Process on Employee Satisfaction Level” (Doctoral dissertation, Master Thesis, Umea School of Business and Economics, Umea, SE).Google Scholar
Maslow, A. H. (1943), “A theory of human motivation”, Psychological review, Vol. 50 No. 4, p. 370.10.1037/h0054346Google Scholar
McLeod, S. (2007), “Maslow's hierarchy of needs”, Simply Psychology, Vol. 1.Google Scholar
Men, L. R. (2014), “Strategic internal communication: Transformational leadership, communication channels, and employee satisfaction”, Management Communication Quarterly, Vol. 28 No. 2, pp. 264–284.10.1177/0893318914524536Google Scholar
Stringer, L. (2013), Workplace strategies that enhance human performance, health and wellness.Google Scholar
Tavana, M., Abtahi, A. R. and Khalili-Damghani, K. (2014), “A new multi-objective multi-mode model for solving preemptive time–cost–quality trade-off project scheduling problems”, Expert Systems with Applications, Vol. 41 No. 4, pp. 1830–1846.10.1016/j.eswa.2013.08.081Google Scholar