Industrial R&D project portfolio selection method using a multi-objective optimization program: A conceptual quantitative framework

• Nielsen, Mads Kjærgaard ^[1] ; Jacobsen, Anders MSØ ^[1] ; Carstensen, Jeppe Lykke ^[1] ; Nielsen, Mathilde Toft ^[1] ; Tambo, Torben ^[1]
  1. [1] Aarhus University

     Aarhus University

     Dinamarca

     
• Localización: Journal of Industrial Engineering and Management, ISSN-e 2013-0953, Vol. 17, Nº. 1, 2024, págs. 217-234
• Idioma: inglés
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• Resumen

  • 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.