Thesis

Venkatramanan Suresh

"A Pilot Study to Formulate Data-driven Worker Fatigue Models of an Order Picking Operation"
(2022)

Abhimanyu Sharotry

"A Digital Twin Framework of a Material Handling Operator in Industry 4.0 Environments"
(2020)

Madhusudan Sudarsan

"Using wearable sensors to evaluate material handling operator's fatigue in repetitive activities: a design of experiments approach"
(2020)

Priyanka Basavaraj. (2020).
"The Effect of Job Rotation and Single-Piece Flow in a Human-Based Assembly System"

Christopher Samuel Vivin. (2019). “Analysis of Repetitive Motion in Manual Material Handling Systems Using a Digital Twin Framework”

Shyam Nath Soundararajan. (2019). “A Model for Material Handling Labor Capacity Planning and Decision Making for Manufacturing and Distribution Ctr.”

Thulasi Kannaian. (2018). “Capacity Model with Sustainability Scope to Predict the Semiconductor Manufacturing's Energy Consumption"

Yue Li. (2017). “A Data-Intensive Analysis Augmented Simulation Model of an Order Picking Operation”

Ximena McKenna. (2012). “Linking Data, Business Intuition, and Computer Simulation for Supply Strategic Decisions”

Handi Chandra-Putra. (2008). “Using Intelligent Vehicle Control Rules to Improve AMHS Performance in Highly Dynamic Manufacturing Environments”