The Simulation and Decision Analytics Lab is a multidisciplinary laboratory focused on the application of simulation, operations research, optimization, data analytics, and decision-support techniques to complex engineering and management systems. The laboratory provides an environment for students and researchers to model real-world systems, evaluate alternative strategies, and develop data-driven solutions for effective decision-making. The laboratory supports teaching, student projects, doctoral research, and sponsored research in areas such as discrete-event simulation, system dynamics, Monte Carlo simulation, mathematical optimization, statistical analysis, predictive analytics, and decision modelling. Applications include manufacturing and service systems, healthcare, logistics, infrastructure, public systems, and other complex socio-technical systems.
 

• Discrete-event and Monte Carlo simulation
• System dynamics and simulation modelling
• Decision analysis and decision-support systems
• Predictive and prescriptive analytics
• Stochastic modelling and uncertainty analysis
• Capacity planning and resource allocation
• Process and system performance evaluation
• Data-driven decision-making

Bhardwaj & Prof Cherain Samuel The Ergonomics, Systems & Quality Engineering Lab focuses on the design, analysis, and improvement of work systems by integrating human factors, systems engineering, and quality engineering principles. The laboratory provides facilities and methodologies for studying the interaction between people, technology, processes, and organizational systems with the objective of improving safety, productivity, reliability, quality, and human well-being. The laboratory supports undergraduate and postgraduate teaching, student projects, and research in areas such as ergonomics and human factors, work-system design, occupational safety, quality management, reliability engineering, statistical quality control, process improvement, and human-system interaction.

• Ergonomics and human factors engineering
• Workstation and workplace design
• Human-system interaction
• Occupational safety and risk assessment
• Work measurement and productivity improvement
• Quality engineering and statistical quality control
• Six Sigma and process improvement
• Reliability and maintainability engineering
• Systems engineering and system performance analysis
• Human performance and workload assessment

The Digital Transformation and Supply Chain Lab is focused on the application of digital technologies, analytics, and systems engineering approaches to the design and management of modern supply chains and enterprise operations. The laboratory provides an environment for studying how emerging digital technologies can improve visibility, agility, resilience, efficiency, and decision-making across supply chain networks. The laboratory supports teaching, industry-oriented projects, and research in areas including digital supply chains, Industry 4.0, supply chain analytics, inventory management, logistics, procurement, production planning, digital twins, IoT-enabled operations, and enterprise systems.

• Supply chain modelling and optimization
• Supply chain analytics and data-driven decision-making
• Inventory and demand management
• Logistics and transportation planning
• Procurement and sourcing analytics
• Production planning and scheduling
• Industry 4.0 and smart manufacturing
• Digital twins and digital process modelling
• Internet of Things (IoT) applications
• Enterprise systems and digital transformation
• Supply chain resilience and risk management
• Sustainable and circular supply chains

The Smart Mobility Systems and Operations Lab focuses on the modelling, analysis, optimization, and intelligent management of modern transportation and mobility systems. The laboratory integrates operations research, data analytics, systems engineering, simulation, and emerging digital technologies to address challenges related to urban mobility, public transportation, traffic operations, logistics, and sustainable transportation.

The laboratory supports teaching, student projects, and research on intelligent and sustainable mobility systems, with emphasis on transportation modelling, traffic and transit operations, mobility analytics, routing and scheduling, shared mobility, public transportation, electric mobility, and intelligent transportation systems.

• Transportation system modelling
• Public transportation planning and operations
• Vehicle routing and scheduling
• Intelligent transportation systems
• Shared and on-demand mobility
• Electric and sustainable mobility
• Mobility data analytics
• Fleet management and optimization
• Urban logistics and last-mile transportation
• Network design and transportation optimization