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

Published online by Cambridge University Press:  26 May 2022

M. Riesener ,
M. Kuhn ,
A. Keuper ,
B. Lender  and
G. Schuh
M. Riesener
Affiliation:
RWTH Aachen University, Germany
M. Kuhn
Affiliation:
RWTH Aachen University, Germany
A. Keuper
Affiliation:
RWTH Aachen University, Germany
B. Lender*
Affiliation:
RWTH Aachen University, Germany
G. Schuh
Affiliation:
RWTH Aachen University, Germany
*
a.keuper@wzl.rwth-aachen.de

Abstract

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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 managementbig data analysisproduct developmentperformance indicators
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 253 - 262
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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