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Multi-objective Team Forming Optimization for Integrated Product Development Projects

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Foundations of Computational Intelligence Volume 3

Part of the book series: Studies in Computational Intelligence ((SCI,volume 203))

Summary

Integrated product development (IPD) is a holistic approach that helps to overcome problems that arise in complex product development environments. This paper presents a model that aims to support the optimal formulation and assignment of multi-functional teams in IPD organizations - or any project-based organization. The model accounts for limited availability of personnel, required skills, team homogeneity, and, further, maximizes organization’s payoff by formulating and assigning teams to projects with higher expected payoffs. A Pareto multi-objective particle swarm optimization approach was used to solve the model. It allows personnel to work in several concurrent projects and considers both person-job and person-team fit.

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Authors and Affiliations

  1. Decision Support Department, Cairo University, Cairo, Egypt

    Hisham M. E. Abdelsalam

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  1. Hisham M. E. Abdelsalam
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Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071-2259, Auburn, Washington, USA

    Ajith Abraham

  2. College of Business Administration Quantitative and Information System Department, Kuwait University, P.O. Box 5486, 13055, Safat, Kuwait

    Aboul-Ella Hassanien

  3. Université Paris XII Fac. Sciences, LERISS, 61 avenue du Général de Gaulle Building P2 - Room 350, 94010, Créteil, France

    Patrick Siarry

  4. Department of Computer Science, University of Pretoria, 0002, Pretoria, South Africa

    Andries Engelbrecht

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Abdelsalam, H.M.E. (2009). Multi-objective Team Forming Optimization for Integrated Product Development Projects. In: Abraham, A., Hassanien, AE., Siarry, P., Engelbrecht, A. (eds) Foundations of Computational Intelligence Volume 3. Studies in Computational Intelligence, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01085-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-01085-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01084-2

  • Online ISBN: 978-3-642-01085-9

  • eBook Packages: EngineeringEngineering (R0)

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