The domain is designed to impact skill and hands-on knowledge to students for knowing how the manufacturing Execution System (MES) system can be integrated to monitor all the production processes. The students are exposed to different methods for collecting real-time data from different sensors, incorporated in the production line for scheduling, operator & resource management, process management, and performance analysis. Here students will be able to learn interfaces between hardware and software through a wireless or wired medium and are connected using the Internet of Things for production line tracking. The MES can connect to any systems in the Cloud and visualization of all the process is done through Dashboard.It enables students to form a network of intelligent devices connected to form systems that monitor, collect, exchange and analyze data through the cloud platform.
Manufacturing Execution System
Domain Track: Manufacturing Execution System
Course Attendees
Still no participant
Course Reviews
Still no reviews
Courses Division:
- Embedded C and Python Programming (2-4-0)
- Industrial Internet of Things (1-4-0)
- Manufacturing Execution System(3-0-0)
- Project (0-0-6)
Domain Learning Objectives:
- Develop Real-Time Industrial IoT-based Production Line Tracking for Garment, Manufacturing, and Mining Industries.
- Working on Embedded Controllers, Sensors, JavaScript, Web Development & Database Languages, and Visualization Tools
Domain Learning Outcomes:
- Students will be able to demonstrate the Manufacturing Execution System.
- Students can interface multiple IoT devices incorporated in the production process and send information wirelessly to the Cloud.
- Students will learn the different programming languages, platforms, and associated tools.
Domain Syllabus:
1. Embedded C and Python Programming
- 1.1 Introduction to Embedded C Programming
- 1.2 Datatype and Constants
- 1.3 Formatted I/O
- 1.4 Flow Control
- 1.5 Loops
- 1.6 Functions
- 1.7 Storage class
- 1.8 Defining, initializing Arrays
- 1.9 Structure & Unions
- 1.10 File Handling
- 1.11 Shell Script
- 1.12 Introduction to python
- 1.13 List, Range & Tuples
- 1.14 Python dictionaries and sets
- 1.15 IO in Python
- 1.16 Python built in function
- 1.17 Python object oriented
- 1.18 Python Exceptions Handling
- 1.19 Python MySQL Database Access
- 1.20 Python for Data Analysis
- 1.21 Web Framework in python
2. Industrial Internet of Things
- 2.1 Various Industrial Revolution
- 2.2 Role of IoT &IIoT in Industry
- 2.3 Industry 4.0 revolution
- 2.4 Smart Factories
- 2.5 Sensors and Actuators for Industrial Processes
- 2.6 Embedded Controllers
- 2.7 ESP32 and its Programming
- 2.8 Raspberry Pi and its Programming
- 2.9 Process automation and Data Acquisition
- 2.10 Wireless sensor nodes with BLE, WiFi, LoRa, GSM
- 2.11 IoT Gate Way
- 2.12 IoT edge System and Its Programing
- 2.13 Real Time Dashboard for Data Monitoring.
- 2.14 Data Analytics and Predictive Maintenance with IIoTTechnology
- 2.15 Platform and Product Lifecyle Management
3. Manufacturing Execution System
- 3.1 MES concept
- 3.2 Use of MES system in the company
- 3.3 MES for Process capability
- 3.4 Data model for Product Design
- 3.5 Production flow-oriented planning
- 3.6 Order Processing
- 3.7 Technical aspects- Software Architecture, Database,
- 3.8 Interface with other IT systems
- 3.9 User Interface
- 3.10 Evaluation of Cost effectiveness of MES
- 3.11 Implementation of MES in Production
Reference:
- [1] Mantravadi, S. and Møller, C., 2019. An overview of next-generation manufacturing execution systems: How important is MES for industry 4.0, Procedia manufacturing, 30, pp.588-595.
- [2] Meyer, H., 2009. Manufacturing execution systems: optimal design, planning, and deployment. McGraw-Hill Education.
- [3] Wheelus, C. and Zhu, X., 2020. IoT network security: threats, risks, and a data-driven defense framework. IoT, 1(2), pp.259-285.
- [4] Pont, M.J., 2002. Embedded C. Addison-Wesley Longman Publishing Co., Inc..
Latest News & Student Testimonials
Media
Our Main Teachers
Prof. Swarna Prabha Jena received BTech and MTech Degree from Biju Patnaik University of Technology and Management and Siksha ‘O’ Anusandhan University in the Year 2007 and 2013 Respectively. Currently she is pursuing her PHD in the Field of IoT in Precision Agriculture at Centurion University of Technology and Management, Odisha. She has 9 years […]
