Framework for FAMD-Based Identification of RCPSP-Constraints for Improved Project Scheduling

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Michael Riesener, Maximilian Kuhn, Alexander Keuper, Benjamin Lender, Guenther Schuh
Series: DESIGN
Institution: RWTH Aachen University, Germany
Section: Organisation, Collaboration and Management
Page(s): 253-262
DOI number: https://doi.org/10.1017/pds.2022.27
ISSN: 2732-527X (Online)

Abstract

Product development in today’s manufacturing companies is characterized by multiple development projects under intense time constraints. This means that the success of projects impacts the company's success significantly. However, industrial practices show that many projects fail to meet their time targets. This paper presents a methodology to systematically improve project schedule adherence of development projects by combining exploratory data analysis of historic project data with project scheduling optimizations to enhance the project schedules and enable more successful projects.

Keywords: project management, big data analysis, product development, performance indicators