Call for Papers: Special Issue on Analysis and Design of Sociotechnical Systems
JMD Announces 2018 Editors' Choice Paper Award
JMD Announces 2018 Reviewer Awards
JMD Welcomes Jian Dai, Christopher Hoyle, H. Alicia Kim, and Pingfeng Wang to the Editorial Board
Featured Articles Editor: Scott Ferguson
Data-Driven Design Space Exploration and Exploitation for Design for Additive Manufacturing
Yi Xiong, Pham Luu Trung Duong, Dong Wang, Sang-In Park, Qi Ge, Nagarajan Raghavan, David W. Rosen
The capabilities of additive manufacturing for creating products that are rich in shape, material, hierarchical, and functional complexities offer high potentials to revolutionize existing product development processes. However, searching design solutions in such a multidimensional design space is a challenging task. In this study, we propose a holistic approach that applies data-driven methods in design search and optimization at successive stages of a design process. Read more...
A Spatial Grammar Method for the Computational Design Synthesis of Virtual Soft Locomotion Robots
Merel van Diepen and Kristina Shea
Soft locomotion robots are intrinsically compliant and have a large number of degrees of freedom. However, the hand-design of soft robots is often a lengthy trail-and-error process. This paper presents the computational design of virtual, soft locomotion robots using an approach that integrates simulation feedback. The Computational Design Synthesis (CDS) approach consists of three stages: (1) generation, (2) evaluation through simulation, and (3) optimization. Read more...
Managing Sociotechnical Complexity in Engineering Design Projects
Mohammad Hassannezhad, Marco Cantamessa, Francesca Montagna and P. John Clarkson
A key challenge in lengthy and labor-intensive design projects is leveraging knowledge and expertise. Tools are needed that reflect the social and technical characteristics of design processes. Such integrated modelling is particularly critical in the early stages of design where information is imprecise and decisions have significant consequence. This paper contributes to the development of Actor-Based Signposting (ABS) - a dynamic method that combines the Activity-based and Agent-based concepts of process modelling. This approach enables individuals to be adaptive in satisfying the local objectives of their own jobs while complying with the global objectives of the rest of the team/entire system. Read more...
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