JMD Welcomes James Allison, Scarlett Miller, Tahira Reid, and Haijun Su to the Editorial Board
JMD Announces Editors' Choice Paper Awards for the years: 2014, 2015, and 2016
Featured Articles Editor: Scott Ferguson
Exploring Effective Change Propagation in a Product Family Design
Inayat Ullah, Dunbing Tang, Qi Wang, Leilei Yin
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. Read more...
Effectiveness of an Immersive Virtual Environment for Collaboration With Gesture Support Using Low-Cost Hardware
Joshua Q. Coburn, John L. Salmon, Ian Freeman
Before the widespread use of modern computer systems, engineers worked in highly collaborative groups around large drawings tables. Today, the engineering design environment is more solitary, and collaboration often requires leaving the tools of the design environment. The highly distributed nature of today's workforce has caused a rapid proliferation of remote meetings and impeded the explanation of 3D information. While Virtual Reality (VR) has been proposed as a solution to these problems, the high cost and low availability of such systems has limited their impact. This paper presents a collaborative VR environment with support for hand gestures using readily-available, low-cost VR hardware. Read more...
On Decentralized Optimization for a Class of Multi-Subsystem Co-Design Problems
Tianchen Liu, Shapour Azarm, Nikhil Chopra
Co-design is the integrated optimization of the physical plant and controller for an engineering system. The challenge in co-design is determining both time-invariant (physical design) variables and time-variant (control) variables. In co-design, as the size of the problem (number of variables) becomes large, the problem can become too difficult for an all-at-once solution. Our approach extends earlier research by creating a class of multi-subsystem co-design problems where both design and control are formulated and solved. Read more...
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