Enhancing Strategic Planning of Projects: Selecting the Right Product Development Methodology

Author:

Lishner Itai1,Shtub Avraham1ORCID

Affiliation:

1. Faculty of Data and Decision Sciences, Technion—Israel Institute of Technology, Haifa 320003, Israel

Abstract

The selection of an appropriate development methodology is a critical strategic decision when managing a New Product Development (NPD) project. However, accurately estimating project duration based on the chosen methodology remains a challenge. This paper addresses the limitations of existing models and proposes a novel NPD project model that allows for testing and evaluation of different product development strategies. The model considers Waterfall, Spiral, Agile, and Hybrid methodologies and provides system engineers and project managers with decision-making tools to determine the optimal strategy and understand associated tradeoffs. The model is validated using real projects from various organizations and methodologies. It incorporates stochastic variables, risk management, and dynamic resource allocation, while addressing both Waterfall and Agile methodologies. The study contributes to the body of knowledge by offering practical tools for system engineers and project managers for choosing development methodology, improving project duration estimation, and identifying critical processes and risks in NPD projects. The research results also provide a basis for further studies and can benefit researchers interested in systems engineering methodologies. The proposed model fills a gap in the literature by providing a validated NPD model to evaluate the impact of different product development methodologies on project duration.

Publisher

MDPI AG

Subject

Information Systems

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5. Lishner, I., and Shtub, A. (2022). Using an Artificial Neural Network for Improving the Prediction of Project Duration. Mathematics, 10.

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