Journal of Mechanical Design

companion website

FEATURED ARTICLES

EXPLORING EFFECTIVE CHANGE PROPAGATION IN A PRODUCT FAMILY DESIGN

7/24/2018 Inayat UllahDunbing TangQi Wang and Leilei Yin
J. Mech. Des 139(12), 121101; doi: 10.1115/1.4037627​

Delivering a variety of products with minimal lead time is a critical issue given today’s competitive manufacturing industry. Many design and production firms address the challenges of variety by adopting a product family manufacturing strategy. Product families are a broad range of artifacts, known as product variants, which share a number of common components. Thus, engineering changes in a product family affect the product under consideration and other product variants in the family. This increases the difficulty of predicting the change propagation within a family of products. This paper introduces a seven-step change propagation approach that predicts and evaluates the impact of change propagation across product variants. Interdependencies and logical relationships between directly connected components are captured using a Component-based Design Structure Matrix. This highlights the different change propagation paths that are available in the product’s structure. Risk analysis in terms of lead time is performed at the component level. The results demonstrate that avoiding project delays requires selecting suitable change propagation paths in a family of products.

EXPLORING EFFECTIVE CHANGE PROPAGATION IN A PRODUCT FAMILY DESIGN

For the full article please see ASME’s Digital Collection.

SHARE: 

Featured Articles Subjects

Additive Manufacturing
Ancient design
Artificial Intelligence
Associate Editors
Awards
Bioinspired Design
Complex Engineered Systems
Compliant Mechanisms
Composites
Data Driven Design
Data Mining
Data-driven Design
Design Automation
Design Communities
Design Education
Design Fixation
Design Innovation
Design of Mechanisms and Robotic Systems
Design Optimization
Design Research
Design Theory
Design Theory And Methodology
Digital Twin
Direct Contact Mechanisms
Double-Blind Review Option
Dynamics
Editors' Choice Award
Energy
Engineered Materials And Structures
Ethics
Fluids
Gears
Generative Design
Guest Editorials
IDETC
Industry
Information Design
International Perspectives
JMD History
JMD Review Process
JMD Statistics
Kinematics
Leadership
Machine Learning
Manufacturing
Mechanisms
Mechanisms Robotics
Memoriam
Neural Networks
Optimization
Origami
Orthotics
Piezoelectric Actuators
Power transmission gearing
Product Development
Robotics
Simulation-based Design
Smart Structures
Special Issues
Sustainable Design