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Human resource allocation to multiple projects based on members’ expertise, group heterogeneity, and social cohesion

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journal contribution
posted on 2018-12-10, 17:00 authored by Pablo Ballesteros-Perez, Florence Phua, Daniel Mora-Melia
Project managers regularly allocate human resources to construction projects. This critical task is usually executed by fulfilling the minimum project staffing requirements, normally based around the quantity and competence of project members. However, research has shown that team performance can increase by up to 10% and 18%, respectively, as a consequence of the group members’ heterogeneity and social cohesion. There is currently no practical quantitative tool that incorporates these aspects, allowing project managers to achieve this task efficiently and objectively. A new quantitative model for the effective allocation of human resources to multiple projects, which takes group heterogeneity and social cohesion into account, is proposed. This model is easy to build, update, and use in real project environments with the use of a spreadsheet and a basic optimization engine (e.g., Excel Solver). A case study is proposed and solved with a genetic algorithm to illustrate the implementation of the model. Finally, a validation example is provided to exemplify how group heterogeneity and social cohesion condition academic achievement in an academic setting.

History

School

  • Architecture, Building and Civil Engineering

Published in

Journal of Construction Engineering and Management

Volume

145

Issue

2

Pages

1 - 14 (14)

Citation

BALLESTEROS-PEREZ, P., PHUA, F. and MORA-MELIA, D., 2018. Human resource allocation to multiple projects based on members’ expertise, group heterogeneity, and social cohesion. Journal of Construction Engineering and Management, 145 (2), 04018134.

Publisher

© American Society of Civil Engineers (ASCE)

Version

  • AM (Accepted Manuscript)

Acceptance date

2018-08-20

Publication date

2018-12-04

Notes

This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://ascelibrary.org/doi/10.1061/(ASCE)CO.1943-7862.0001612.

ISSN

0733-9364

eISSN

1943-7862

Language

  • en