Complexity Management in Engineer-To-Order Industry: A Design-Time Estimation Model for Engineering Processes

Christian Victor Brabrand*, Sara Shafiee, Lars Hvam

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

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
Original languageEnglish
Title of host publicationTowards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. CARV 2021, MCPC 2021
EditorsA. -L. Andersen
Place of PublicationCham
PublisherSpringer
Publication date2022
Pages636-644
ISBN (Print)978-3-030-90699-3
ISBN (Electronic)978-3-030-90700-6
DOIs
Publication statusPublished - 2022
Event8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and 10th World Mass Customization & Personalization Conference (MCPC2021) - Online, Aalborg, Denmark
Duration: 1 Nov 20212 Nov 2021

Conference

Conference8th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV2021) and 10th World Mass Customization & Personalization Conference (MCPC2021)
LocationOnline
Country/TerritoryDenmark
CityAalborg
Period01/11/202102/11/2021
SeriesLecture Notes in Mechanical Engineering
ISSN2195-4356

Keywords

  • Healthcare
  • Lean
  • Patient satisfaction
  • Value stream mapping
  • Customized health care

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