Become the catalyst for Industry 4.0

It is estimated that the Industry 4.0 will make production systems faster by up to 30% and increase efficiency by 25%, elevating mass customisation to new levels. To lead this transformation, engineers will need to build skills in areas such as 3D printing or Additive Manufacturing, Logistics and Supply Chain Optimisation, Autonomous Equipment, Industrial IoT and more.

M.Tech. Digital Manufacturing is a four-semester Work Integrated Learning Programme designed for engineering professionals working in Automotive. Manufacturing, and related industries, aiming to develop skills required to build and run factories of the future.

The programme prepares engineering professionals working in roles such as Manufacturing, Production, R&D, Maintenance, and more by helping them acquire competencies in the high-demand areas of Additive Manufacturing, High Precision Manufacturing, Flexible Manufacturing Systems, Mechanisms and Robotics, Industrial IoT and more.

 

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Programme Highlights

  1. Industry-relevant curriculum, delivered online or on-site lectures.
  2. The programme has been designed for engineering professionals employed in industries such as Automotive, Heavy Engineering, Equipment Manufacturing, Precision Engineering, and working in functional areas such Manufacturing, Production, R&D, Maintenance, Projects, etc.
  3. The programme has a special emphasis on concepts such as Additive manufacturing, Digital manufacturing, Disruptive innovation, Data analytics, and Cybersecurity in Manufacturing
  4. The programme includes Virtual Simulation and Remote Labs using Jocta, DFMA, MATLAB, VCNC, and IoT remote lab.
  5. An annual conclave to network, learn and share best practices with the leading industry professionals and academicians.
  6. The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learnt during the programme.
  7. The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
  8. The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work-integrated activities.
  9. Participants who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni.

Programme Curriculum

Participants need to take at least 12 courses towards coursework, and complete one Project/ Dissertation. The coursework requirement for the programme would consist of a set of core courses and electives. Core courses are compulsory for all participants, while electives can be chosen based on individual learning preferences.

The programme offers a degree of customisation to address the specific L&D needs of your organisations.

  • Additive Manufacturing Processes
  • Advances in Materials Composite & Plastics
  • Mechatronics
  • Precision Engineering
  • Design for Additive Manufacturing
  • High Precision Manufacturing
  •  Elective 1
  •  Elective 2
  • Industrial IoT
  • Elective 3
  • Elective 4
  • Elective 5

Dissertation

  • Manufacturing Planning and Control
  • Flexible Manufacturing Systems
  • Embedded System Design
  • Big Data Analytics for Manufacturing
  • Cybersecurity for Manufacturing
  • Mechanisms and Robotics
  • Sustainable Manufacturing
  • Product Design
  • Behavioral Operations

Learning Methodology

LECTURES DELIVERED ONLINE AND ONSITE

Lectures are delivered by BITS Pilani faculty members through live via online classes, or at the organisation's premises, and are designed to offer similar levels of interactivity as regular classrooms at the BITS Pilani campus.

DIGITAL LEARNING

Learners can access engaging learning material which includes recorded lectures from BITS Pilani faculty members, course handouts and recorded lab content where applicable.

CONTINUOUS ASSESSMENT

Continuous Assessment includes graded Assignments/ Quizzes, Mid-semester exam, and Comprehensive Exam.

EXPERIENTIAL LEARNING

The programme emphasises on Experiential Learning that allows learners to apply concepts learnt in the classroom in simulated, and real work situations. This is achieved through:

 
Online Labs & Simulations
  • Learners perform a variety of experiments using industry scale simulation software in a virtual lab.
  • Controlled experiments are performed in Remote Labs, accessing physical lab equipment using remote control systems.
  • Real-life scenarios are replicated using simulation games and video-cases, where learners experience implications of applying concepts in practice.
CASE STUDIES AND ASSIGNMENTS

Carefully chosen real-world cases & assignments are both discussed and used as problem-solving exercises during the programme.

DISSERTATION/ PROJECT WORK

The fourth semester offers an opportunity for learners to apply their knowledge gained during the programme to a real-world like complex project. The learner is expected to demonstrate understanding of vital principles learnt across semesters and their ability to successfully apply these concepts.

Online Labs & Remote Labs

VIRTUAL LAB

The Virtual Lab is a cloud based simulation space, where participants can design, develop and test solutions for industry scale problems. The lab hosts a range of popular software tools that can simulate the complete spectrum of engineering processes to the accuracy and precision of real-life. The lab is open 24x7, 365 days with a live support.
Participants of M.Tech. Digital Manufacturing can access the following Virtual Labs:

Machining Virtual Lab

Development of metal cutting processes, tool design, cutting parameters and controller settings takes a great deal of time and cost. Virtual lab contribute for improving process design and engineering of all CNC metal removal processes with short span of time. Participants can use the lab to perform experiments such as 3 & 5 Axis machining with Siemens, Fanuc, Haas, and Mitsubishi controllers, Turning with Fanuc & Siemens controller.

Quality Management Virtual Lab

This lab enables the users to focus more on the analysis of data and the interpretation of results. Statistical analysis tool Minitab is used in this lab for formulating the problem and perform statistical analysis using response curves. Participants can use the lab to perform experiments such as Quality assurance and reliability experiments, Quality control experiments.

DFMA Virtual Lab

DFMA Product Simplification software by Boothroyd and Dewhurst utilizes an intuitive question-and-answer interface that identifies opportunities for substantial cost reduction in a product. By applying industry-tested minimum part count criteria, the software finds parts that can be consolidated/eliminated while maintaining 100% functionality. Participants can use the lab to perform experiments such as DFA analysis for simple assembly, DFM analysis for cost estimation.

Automation Studio Virtual Lab

Automation Studio offers intuitive design, animation, simulation and system analysis functionalities in a versatile and user-friendly environment in Mechatronics and Automation domain. It allows students to build and select their mechatronics circuits including hydraulic, pneumatics, electronic, electrical, PLC and combination of these elements. Participants can use the lab to perform experiments such as PLC programming for specific automation processes, Hydraulics and pneumatics circuit simulation using different control valves

Design for Additive Manufacturing Lab

This lab delivers the critical insights required by designers, engineers and analysts to avoid build failure and create parts that accurately conform to design specifications. ANSYS additive suite is used in this lab, this comprehensive solution spans the entire workflow — from design for additive manufacturing (DfAM) through validation, print design, process simulation and exploration of materials. Participants can use the lab to perform experiments such as Basics of generative design, Topology optimization of brake pedal

Remote Lab

Through the Remote lab, participants can perform controlled experiments from anywhere in the world. The IoT enabled lab equipments and the integrated remote access network makes this possible. The lab is open 24x7, 365 days. Remote Lab is one more attempt by the work integrated learning programs division of BITS Pilani to bring the campus learning experience to the working professionals complementing their work-life-learning balance. Participants of M.Tech. Digital Manufacturing can access the following Remote Lab:

Experiments with IIoT Lab

To support the theory learned in IIoT course with creating and applying connected things, acquiring & displaying sensor data, operating & controlling the water bottling plant remotely (both through computer and mobile app). Using PTC ThingWorx and Vuforia studio for AR/VR application and performing basic data analysis. Participants can use the lab to perform experiments such as Understanding of the PLC I/p , O/p and data transfer IoT enabled software-hardware interfacing tools, Control the IoT enabled sensors and implement digital manufacturing concepts.

Eligibility Criteria

Minimum eligibility to apply: Applicants must be employed professionals working in Engineering organisations, and holding B.E./ B.Tech. or equivalent in relevant domains with at least 60% aggregate marks. Minimum 1 year of work experience after the completion of the degree in relevant domains is required to apply.

The programme is designed for engineering professionals holding BE/ B.Tech. or equivalent in domains such as Mechanical, Electrical, Electronics, Computer Science, etc., and working in:

  • Industries such as Automotive, Heavy Engineering, Equipment Manufacturing, Precision Engineering, etc.
  • Functional areas such as Manufacturing, Production, R&D, Maintenance, Projects, etc.

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