1. Industrial R&D project portfolio selection method using a multi-objective optimization program: A conceptual quantitative framework
- Author
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Mads Kjærgaard Nielsen, Anders MSØ Jacobsen, Jeppe Lykke Carstensen, Mathilde Toft Nielsen, and Torben Tambo
- Subjects
r&d project portfolio selection, project portfolio management, portfolio value, strategic orientation, multi-objective optimization ,Industrial engineering. Management engineering ,T55.4-60.8 ,Social Sciences ,Commerce ,HF1-6182 ,Business ,HF5001-6182 - Abstract
Design/methodology/approach: Research and development (R&D) activities are crucial if companies are to adapt to technology changes, but budget constraints and limited resources often force companies to select a subset of candidate projects through portfolio selection techniques. However, existing models for R&D portfolio selection do not adequately consider interdependencies and types of projects, and this can lead to suboptimal selection and misalignment with corporate objectives. Findings: A Multi-Objective Optimisation Program (MOOP) is suggested transcending from classic manpower, time and financial planning into addition of strategic, skills and commercial objectives. A Pareto front is used as validation mechanism. Research limitations/implications: Project selection processes are widened with select and critical quantitative positions. Potentials remain in areas of team capability, corporate capabilities, deeper skill understanding, and stakeholder engagement. Practical implications: A quantitative validation is often overlooked in PPM project selection over more qualitative or idiosyncratic selection methods. Originality/value: A quantitative validation is often overlooked in PPM project selection over more qualitative or idiosyncratic selection methods.
- Published
- 2024
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