Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Methodology for Predictive Value Engineering in the Early Product Development Phases
Tarek Musa (1,2)
Type:
Year:
2025
Editor:
Ali A. Yassine, Christopher Langner, Matthias Kreimeyer, Tyson R. Browning, Steven D. Eppinger
Author:
Series:
DSM
Institution:
1: Liebherr Machines Bulle SA, Switzerland; 2: Technische Universität Ilmenau, Germany
Page(s):
109-118
DOI number:
Abstract:
Mastering new product development at competitive costs is viewed as a challenge. Since the design process requires multiple iterations to fulfill the product's function in the early development phases, Value Engineering (VE) is used as a function-oriented approach. To address the challenge of overengineering, VE aims to improve the product while reducing costs without compromising quality. However, iterations during VE projects are often based on expert knowledge. This paper introduces a methodology to integrate predictive VE for new Product Generations in the context of Digital Twin technology. The methodology includes the creation of a VE knowledge base for qualitative VE prediction. To reach consensus on a Feature Engineering set, the collection of context-specific criteria is supported by the Delphi method. As a result of an informational Digital Twin, a hybrid Property Graph is presented to support quantitative VE prediction. Ultimately, the methodology is applied to an industrial case study.
Keywords:
