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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIM Visakhapatnam |
The Syllabus
Smart Operations Management
- Smart Operations Processes Design and Analysis
- Smart outsourcing and plant production
- Analytical tool for assessing smart operations (ordering, production scheduling,and quality monitoring)
- Digital Service Operations planning and execution
- Value of information and value chain analysis
- Manufacturing and service operations system design and analysis
Smart Manufacturing Strategy
- Introduction to Operations Strategy
- Defining Smart Manufacturing
- Framework for Manufacturing 4.x
Logistics- 4.0
- Logistical strategy formulation and logistical capabilities assessment
- Logistical capability mapping (technology readiness mapping)
- Logistical integration (vertical and horizontal), collaboration, and coordination analysis
- Freight distribution cluster design, and hyper-local logistics system design
- Smart facilities (warehouse) management, digital control of warehouse
Managing Digital Operations for Circular Economy
- Introduction to Sustainable Digital Operations
- Multiple Objectives
- Framework for implementing Sustainable Operations
- Circular Economy (CE) - Overview
- Evolution of the concept
- CE-A Generic Framework
Digital Leadership (Managing Modern Enterprices)
- Understanding Modern Enterprise
- Digital Leadership in 'VUCA World'
- Managing Enterprise Content
- Foresight, Enterprise Policies and for Digital Leadership
Exploring the Data Analytics and its Maturity models
- Maturity Model#1 with respect to Human-Decision-Action.
- Maturity Model#2 with Complexity vs. Value addition.
- Descriptive Analytics and Diagnostic Analytics with their case studies. Confusion matrix
- Predictive Analytics and Prescriptive Analytics with their case studies. Sensitivity Analysis for estimating the influence of parameters on the outcome.
Exploration of AI and ML techniques
- Introduction to Machine Learning and AI
- Regression techniques
- Classification techniques
- Clustering techniques
- Applications in Manufacturing
Maturity Model of Automation and Industrial Robotics
- Maturity Model of Automation. Case study for each level of automation.
- Relation between Industry4.0 – Operator 4.0 – Automation levels.
- Types of Robotic Operations; Hardware and Software based Robots;applications in process automation for Smart Manufacturing.
- Robot Motion Analysis and Control;
- Robot Peripherals: End Effectors, Sensors, Actuators
Robot Cell Design Process and Autonomicity
- Robot Cell Design and Control
- Introducing Intelligence into the Robots
- Machine Vision and Robotic Operations;
- Cobots and Dobots
Strategic Analysis of various forms of applications of Robotics
- Economic Analysis for Robotics
- Implementation Principles and Issues
- Robot Applications in Manufacturing: Material Transfer; Processing Operations; Assembly and Inspection;
- Social Issues and Future of Robotics.
Cloud Computing models; Virtualization; Load Balancing methods
- Introduction to cloud computing
- Cloud issues and challenges
- Virtualization and Load balancing
Cloud service and platforms
- Commercial clouds
- Open source private clouds
Applications using IoT and Cloud Computing
- Ubiquitous Cloud and IIoT
- Cloud Application in Mass Customization.
Design for Additive Manufacturing
Laser Power bed fusion of metals
- Input Data Processing and Build File Preparation
- Architecture of Laser Powder Bed Fusion System and Complete Process Chain
- Post Processing of Additive Manufactured (AM) Parts
- Testing and Certification of AM Parts
- Applications – Aerospace, Defence, Energy, Oil & Gas Sectors
Industrial Iot and Polymer 3D printing
- Vat Polymerisation, Extrusion Technology and Multijet Processes
- Industrial Case Studies – Medical Devices and White Goods
- Industrial IoT for 3D Printing
Additive Manufacturing Materials
- Characterisation of Additive Manufactured Materials
- Optimising The Process Parameters for maximising the throughput and quality
- Adapting New Materials to Extend Applications
Design for Additive Manufacturing
- Reducing the part count and making unibody parts
- Mass Customisation
- Reengineering and reconfiguring supply chains
Instructors
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2 Jan'25, 07:13 AM
2 Jan'25, 04:00 AM
31 Dec'24, 07:24 AM
31 Dec'24, 06:59 AM
31 Dec'24, 06:08 AM
6 Dec'24, 04:30 AM
4 Dec'24, 03:15 AM
29 Nov'24, 06:03 AM
19 Nov'24, 10:59 AM
2 Nov'24, 06:52 AM
11 Oct'24, 06:01 AM
13 Mar'24, 06:24 AM
29 Feb'24, 06:05 AM
27 Feb'24, 10:32 AM
13 Feb'24, 06:25 AM
2 Jan'25, 12:59 PM
2 Jan'25, 12:44 PM
2 Jan'25, 12:30 PM
2 Jan'25, 12:28 PM
2 Jan'25, 11:26 AM
2 Jan'25, 07:13 AM
2 Jan'25, 04:00 AM
31 Dec'24, 07:24 AM
31 Dec'24, 06:59 AM
31 Dec'24, 06:08 AM
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