Book chapter · Conference paper
Complexity Management in Engineer-To-Order Industry: A Design-Time Estimation Model for Engineering Processes
Technical University of Denmark1
Department of Mechanical Engineering, Technical University of Denmark2
Engineering Design and Product Development, Department of Mechanical Engineering, Technical University of Denmark3
Operations Management, Management Science, Department of Technology, Management and Economics, Technical University of Denmark4
Management Science, Department of Technology, Management and Economics, Technical University of Denmark5
Department of Technology, Management and Economics, Technical University of Denmark6
The engineer-to-order (ETO) industry’s business environment constantly changes, which results in challenges related to project management, on-time delivery, quality, and market competition. Companies face pressure to optimize production while demand for personalized products, and accordingly the complexity level increases.
To address these challenges, companies require to identify the most important complexity drivers to improve planning, get a better overview of the resource allocation, and improve internal processes. This study proposes a design-time estimation model based on the most important complexity drivers: 1) Functional requirement, 2) Number of technologies, 3) Level of connectivity, 4) Regulation and standards.
This study presents key complexity drivers for assessing the expected hours to design a product in an ETO industry. Complexity drivers are explored qualitatively and quantitatively from (i) literature review; (ii) internal regular meetings and; (iii) data analysis. The gathered complexity drivers are weighted and combined in order to develop the mathematical design-time model.
Finally, an IT-tool is prototyped to test the mathematical model at the case company. The application of the developed IT-tool is also tested at the case company to prove the usability
Language: | English |
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Publisher: | Springer |
Year: | 2022 |
Pages: | 636-644 |
Proceedings: | 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and 10th World Mass Customization & Personalization Conference (MCPC2021)International Conference on Changeable, Agile, Reconfigurable and Virtual Production |
Series: | Lecture Notes in Mechanical Engineering |
Journal subtitle: | Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference (carv2021) and the 10th World Mass Customization and Personalization Conference (mcpc2021), Aalborg, Denmark, October/november 2021 |
ISBN: | 303090699X , 303090699x , 3030907007 , 9783030906993 and 9783030907006 |
ISSN: | 21954364 and 21954356 |
Types: | Book chapter and Conference paper |
DOI: | 10.1007/978-3-030-90700-6_72 |
ORCIDs: | Shafiee, Sara and Hvam, Lars |