Digital Twin for the Advancement of Design and Manufacturing
DETAILS
Call for Papers
Digital Twin for the Advancement of Design and Manufacturing
Journal: IISE Transactions
Submission deadline: 01 July 2026
This special issue focuses on how digital twin technologies and physics-informed methods are advancing design and manufacturing. It highlights virtual representations of products, processes, and production systems that use sensor data to support simulation, rapid prototyping, life-cycle optimization, and data-driven decision-making.
Special Issue Editors
Chenang Liu, Oklahoma State University, USA.
Michel-Alexandre Cardin, Imperial College London, UK.
Jingshan Li, Tsinghua University, China.
Debjit Roy, Indian Institute of Management Ahmedabad, India.
Chenhui Shao, University of Michigan, USA.
Scope
The special issue welcomes work on process-level and system-level digital-twin applications in additive, subtractive, and hybrid manufacturing. It also includes product design, facility layout, production planning and scheduling, smart manufacturing, anomaly detection, diagnostics, root-cause analysis, and sustainability-oriented topics such as energy and resource efficiency and life-cycle assessment.
Methods of interest
Relevant methods include physics-informed neural networks, stochastic processes, queueing networks, simulation, surrogate modeling, uncertainty quantification, robust and stochastic optimization, model predictive control, reinforcement learning, network analysis, game theory, machine learning, time-series analysis, Bayesian modeling, and active learning.
Submission details
Papers must be submitted through the journal’s manuscript system, and authors should select “Special Issue” under the manuscript category. The call lists a manuscript deadline of July 1, 2026, with first-round review expected by November 1, 2026 and tentative publication on August 30, 2027.
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