Admissions Open 2026-28

SUMAN Lab Docket

Introduction

SUMAN (Sustainable Universal Manufacturing Augmented Node) is an advanced facility dedicated to Industry 4.0 research and applications, serving as a center for exploring key concepts and technologies that drive digital transformation. The lab focuses on critical domains such as the pillars of Industry 4.0, globalization, smart applications, operational efficiency enhancements, calibration, and big data analytics.

This report outlines the lab’s role in providing practical insights into digital transformation, covering emerging technologies, implementation strategies, and real-world applications.

Objective

The primary objective of SUMAN is to facilitate hands-on demonstrations of digital transformation concepts, enabling learners to gain practical exposure to emerging digital technologies and their impact on business models. It serves as an experiential learning platform for understanding digital transformation. By demonstrating real-world applications and emerging technologies, the lab bridges the gap between theoretical knowledge and practical implementation.

Curriculum alignment

An increased emphasis of industry 4.0 and the cross-over of technology in management and management of technology, i 4.0 literacy is an important skill for management students.

Several subjects/courses benefit from this understanding and the key where KIM focuses on delivering value through SUMAN is: Deployment of Digital Transformation Technologies to deliver service, manufacturing and operational excellence.
SUMAN serves as an integral component for delivering practical exposure in various courses related to digital transformation, manufacturing operational excellence, and Industry 4.0 applications.

The technologies deployed are detailed below

Mobile Technology:
- Demonstration of mobile applications for business automation.
Internet of Things (IoT):
- Hands-on experience with IoT sensors and data collection
Robotics:
- Deployment of robotic automation in industrial use cases
Artificial Intelligence and Machine Learning:
- AI-driven decision-making applications
Augmented Reality (AR):
- Use of AR in training and remote assistance

Big Data and Real-time Analytics:
- Processing and visualization of real-time data.
Digital Twin:
- Simulation of physical assets in a virtual environment.
API-based Integrations:
- Connecting various digital tools via APIs.
Robotic Process Automation (RPA):
- Automating repetitive business processes.
Cloud-Based Technology:
- Understanding SaaS, IaaS, and PaaS models.

Workshop/ Training/MDP/FDP Elements

A typical workshop contains the following elements and demonstrations with hands-on learning at SUMAN. The modules can be customized, curated or focused based on the outcomes desired.

Introduction to Digital Transformation

Historical context of business transformation.
The necessity of digital transformation in modern economic conditions
Challenges in digital transformation and the role of change management
- Case Study: Comparative analysis of traditional vs. digitally transformed businesses

Digital Transformation Technologies overview (as stated earlier)

Elements of Digital Transformation

Examination of essential digital tools and software
Process re-engineering for workflow optimization
Strategies for effective digital transformation execution
Best practices and lessons learned from past digital initiatives
- Case Study: Successful digital transformation in a service-based company

Digital Transformation in Services

Formulating and implementing digital strategies.
Understanding digital ecosystems and interconnected business environments
Transitioning from traditional to digital business models
Cloud-based service models: SaaS, IaaS, PaaS, EaaS
- Case Study: How a leading service provider leveraged digital technologies

Digital Transformation in Manufacturing

Implementation of smart factory systems and optimized production workflows
Developing structured transformation frameworks to address resistance and enhance efficiency
- Case Studies: Practical implementations of smart manufacturing and automation

Digital Transformation in Services and Operational Excellence

Digital strategy and ecosystem development to align with Industry 4.0
Cloud computing applications (SaaS, IaaS, PaaS, EaaS) to optimize service delivery
Lean manufacturing and process optimization through Industry 4.0 principles
Industrial IoT (IIoT) for predictive analytics and real-time decision-making

IT Infrastructure and Smart Manufacturing

Edge computing and digital factory platforms for real-time analytics
Integration strategies and API messaging for seamless communications
Transformation frameworks and leadership development for Industry 4.0 implementation
Future Trends: Exploring XaaS, dark factories, and autonomous manufacturing

Smart Factory, Challenges, and Best Practices

Agile manufacturing and Scrum methodologies for flexible production
Design thinking and centers of excellence for innovation-driven improvements
Minimum Viable Product (MVP) and top-down approaches for Industry 4.0 rollouts
- Case Studies: Industry 4.0 implementation successes and best practices In the coming months, enhancements to SUMAN will include advanced AI-driven automation, blockchain integration, and enhanced simulation tools to provide an even more immersive learning experience.