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Computer Integrated Manufacturing

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Preview this course
Self-paced Beginner

Computer Integrated Manufacturing

4(1581)
10 enrolled
1550 views
FREE
1944 min
Anytime
English
1550 views
Team EveryEng
Team EveryEngMechanical Engineering
  • Lifetime access
  • Certificate of completion
  • Foundational Learning
  • Access to Study Materials
Volume pricing for groups of 5+

Why enroll

The Computer Integrated Manufacturing (CIM) course focuses on transforming modern manufacturing through the integration of computer systems, automation, and robotics. It helps participants learn how to optimize production processes, improve efficiency, and reduce operational costs. The course also provides hands-on exposure to industry-relevant software and tools used in advanced manufacturing. Participants will understand how to enhance product quality, boost productivity, and improve supply chain management using modern technologies.

What enrolled engineers say

5 verified reviews
  • Feb 25, 2026

    Initially, I wasn’t sure what to expect from this course, given it’s positioned at a beginner level. From a senior engineer’s lens, the material does a decent job laying out how CAD/CAM integration and CNC machining fit into a broader CIM architecture, rather than treating them as isolated tools. The modules on PLC-based automation and basic production planning helped clarify data flow across the shop floor, which is often glossed over in industry onboarding. One challenge was sitting through simplified examples that ignore edge cases like part family variation or machine downtime. In real plants, FMS scheduling breaks quickly when tooling constraints or quality rework loops are introduced, and that nuance was mostly absent. Still, the course prompted useful reflection on system-level implications, especially how poor data consistency between design and manufacturing cascades into scrap and delays. A practical takeaway was the emphasis on early process planning (CAPP) and standardization before automation. That aligns with what actually works in industry, where throwing software at unstable processes usually backfires. Compared to typical plant practices, this course is more structured and theoretical, but it provides a solid framework to reason about integration decisions. The content felt aligned with practical engineering demands.

    Olumide S. Verified
  • Feb 25, 2026

    This course turned out to be more technical than I anticipated. Coming from a production role, the sections on CAD/CAM integration and CNC programming helped connect dots that were fuzzy on the shop floor. The way CIM ties design data into process planning and then into CNC execution was especially useful, since a recent project involved reducing setup time across two milling cells. Coverage of MRP and basic shop floor control was also relevant. Understanding how BOM accuracy and lead times actually affect schedules filled a knowledge gap that caused friction with planning teams before. One challenge was keeping up with the terminology and flow early on, especially when moving between concepts like CAPP, FMS, and robotics without hands-on demos. Some examples felt dated, so translating them to modern ERP systems took extra effort. A practical takeaway was learning how to map information flow from CAD models to CNC machines and back through quality data, which helped justify a small change in our process documentation. The course isn’t flashy, but it’s dense in a good way and expects attention. Overall, it felt grounded in real engineering practice.

    Khushal M. · student Verified
  • Feb 25, 2026

    Initially, I wasn’t sure what to expect from this course, given it’s positioned at a beginner level. From a senior engineer’s lens, the material does a decent job laying out how CAD/CAM integration and CNC machining fit into a broader CIM architecture, rather than treating them as isolated tools. The modules on PLC-based automation and basic production planning helped clarify data flow across the shop floor, which is often glossed over in industry onboarding. One challenge was sitting through simplified examples that ignore edge cases like part family variation or machine downtime. In real plants, FMS scheduling breaks quickly when tooling constraints or quality rework loops are introduced, and that nuance was mostly absent. Still, the course prompted useful reflection on system-level implications, especially how poor data consistency between design and manufacturing cascades into scrap and delays. A practical takeaway was the emphasis on early process planning (CAPP) and standardization before automation. That aligns with what actually works in industry, where throwing software at unstable processes usually backfires. Compared to typical plant practices, this course is more structured and theoretical, but it provides a solid framework to reason about integration decisions. The content felt aligned with practical engineering demands.

    FIROZ A. Verified

Is this course for you?

You should take this if

  • You work in Manufacturing & Industrial
  • You're a Manufacturing Engineering / Industrial Engineering professional
  • You prefer self-paced learning you can revisit

You should skip if

  • You need a different specialisation outside Manufacturing Engineering
  • You need live interaction with an instructor

Course details

Computer Integrated Manufacturing (CIM) is a course that explains how computers are used to improve modern manufacturing processes. It helps industries connect different stages of production such as design, planning, manufacturing, and quality control through computer systems. In this course, learners understand how automation, robotics, and software work together to make production faster and more accurate. It also focuses on reducing human errors and improving product quality. Participants learn how machines, data, and systems communicate with each other in a smart factory environment. The course introduces important tools and technologies used in modern industries. It also helps students understand how to increase productivity while reducing production time and costs. By learning CIM, students gain practical knowledge about digital manufacturing systems. This course is useful for those who want to work in advanced manufacturing and automation industries. Overall, it provides a clear understanding of how technology is transforming the future of manufacturing.

Source: IIT Kanpur NPTEL (YouTube Channel)
Prof. Janakarajan ramkumar, Dept. of Mechanical & Design Program, IIT Kanpur

Course suitable for

Key topics covered

  • Introduction to CIM

  • Automation In Manufacturing System

  • Computer Graphics - 01

  • Computer Numerical Control - 01

  • CNC Machining Center - 01

  • CNC Tooling

  • Laboratory Demonstration, Computer Aided Design -01

  • CAM Softwares

  • Laboratory Demonstration, CNC Machining

  • Computer Aided Process Planning - 01

  • Flexible Manufacturing System

  • Industrial Robotics

  • Automatic Identification and Data Capture

  • Laboratory Demonstration Co-ordinate Measuring Machine

  • Rapid Manufacturing - 01

  • Material Handling and Identification

  • Laboratory Demonstration Plant Simulation Software - 01

  • Computers in Manufacturing Industry, current scenario - 01

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

50 lectures32 hr 24 min
  1. Introduction to CIM
    36 min
  2. Introduction to CIM - Part 2
    23 min
  3. Production System
    27 min
  4. Automation In Manufacturing System
    25 min
  5. Automation Principles and Computer Aided Technologies
    28 min
  6. Computer Graphics - 01
    32 min
  7. Computer Graphics - 02
    29 min
  8. Computer Graphics - 03
    31 min
  9. Computer Graphics - 04
    36 min
  10. Geometric Modelling - 01
    42 min
  11. Geometric Modelling - 02
    34 min
  12. Computer Numerical Control - 01
    27 min
  13. Computer Numerical Control - 02
    39 min
  14. Computer Numerical Control - 03
    61 min
  15. Computer Numerical Control - 04
    28 min
  16. CNC Machining Center - 01
    26 min
  17. CNC Machining Center - 02
    14 min
  18. CNC Tooling
    36 min
  19. CNC Part Programming - 01
    32 min
  20. CNC Part Programming - 02
    33 min
  21. CNC Part Programming - 03
    21 min
  22. CNC Part Programming - 04
    29 min
  23. Laboratory Demonstration, Computer Aided Design -01
    54 min
  24. Laboratory Demonstration, Computer Aided Design -02
    31 min
  25. CAM Softwares
    18 min
  26. Laboratory Demonstration, CAM Softwares
    55 min
  27. Laboratory Demonstration, CNC Machining
    23 min
  28. Group Technology and Computer Aided Process Planning
    54 min
  29. Computer Aided Process Planning - 01
    47 min
  30. Computer Aided Process Planning - 02
    62 min
  31. Flexible Manufacturing System
    57 min
  32. Industrial Robotics
    54 min
  33. Programming Logical Controller
    54 min
  34. Automatic Identification and Data Capture
    40 min
  35. Computer Aided Quality Control
    41 min
  36. Computer Aided Quality Control - 02
    42 min
  37. Laboratory Demonstration Co-ordinate Measuring Machine
    58 min
  38. Rapid Manufacturing - 01
    29 min
  39. Rapid Manufacturing - 02
    33 min
  40. Laboratory Demonstration Rapid Manufacturing - 01
    40 min
  41. Laboratory Demonstration Rapid Manufacturing - 02
    51 min
  42. Laboratory Demonstration CAD using Fusion 360, an Introduction
    52 min
  43. Laboratory Demonstration CAD Using Fusion 360, Rendering and 3D printing
    44 min
  44. Material Handling and Identification
    61 min
  45. Laboratory Demonstration Plant Simulation Software - 01
    23 min
  46. Laboratory Demonstration Plant Simulation Software - 02
    48 min
  47. Laboratory Demonstration Plant Simulation Software - 03
    37 min
  48. Computers in Manufacturing Industry, current scenario - 01
    57 min
  49. Computers in Manufacturing Industry, current scenario - 02
    43 min
  50. Computers in Manufacturing Industry, current scenario - 03
    47 min

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Questions and Answers

A: Governing principle: Presence-sensing safeguards only prevent motion when they can interrupt control power. Here, a jumpered light curtain still allows commanded motion, so it blocks neither unexpected starts nor high-speed traverse; it never addressed stored mechanical or electrical energy in the first place. Engineers often pick D because it's visible on the HMI, but that misapplies the safeguard’s scope to an energy isolation problem.

A: Governing principle: Throughput is set by total cycle time, not peak speed. Travel time is 120/1.5 ≈ 80 s; add 40 s handling gives ~120 s per pallet, or 30/hr, then trim for control delays to land near the mid‑20s. Option C traps people who forget to add fixed load/unload time after doing the distance math correctly.

A: Governing principle: Control loops tolerate latency poorly, planning layers tolerate it well. Here the PLC waits on MES confirmations, so added delay shows up as starvation; holding releases prevents oscillation while IT fixes latency. Option B appeals to those who know buffers help variability, but misapplies it across control layers where timing, not quantity, is failing.

A: Governing principle: Intermittent, resettable faults point to feedback, not force generation. Hydraulics show pressure is fine and a reboot clears the fault, aligning with a sensor dropping out mid-travel. Option D tempts those thinking mechanically, but a hard interference wouldn’t clear with a power cycle.