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Conference paper

Dimensioning a Product Development Project Portfolio Using a Closed Queueing Network

From

Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Novozymes A/S3

New product development processes are difficult to model as they are subject to high variability and are hard to monitor. In multi-project environments, one particular problem is to quantify the effects of changing the number of projects that run concurrently. In this paper, a closed queueing network model of the flow of projects in a product development system is presented.

The model is evaluated using discrete-event simulation. Using a relation between a project’s monetary value and the time it spends in the system, an optimal number of concurrent projects is determined. Application of the model and results are shown for a case study of a Danish biotechnology company.

Results show, that the value generated by the system can be increased by 17.5 percent by adjusting the total number of concurrent projects and by terminating low-value projects midway. Though the model is tailored to a specific system, it contains many features relevant for new product development systems in general.

Language: English
Publisher: IEEE
Year: 2018
Pages: 622-626
Proceedings: 2018 IEEE International Conference on Industrial Engineering and Engineering Management
ISBN: 1538667851 , 153866786X , 153866786x , 1538667878 , 9781538667859 , 9781538667866 and 9781538667873
ISSN: 2157362x and 21573611
Types: Conference paper
DOI: 10.1109/IEEM.2018.8607820
ORCIDs: Andersen, Jesper Fink and Nielsen, Bo Friis

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