Computer-Integrated Manufacturing (CIM): Systems, Automation & Industry

Computer-Integrated Manufacturing (CIM): Systems, Automation & Industry is an open-access, comprehensive undergraduate-level engineering curriculum module designed for engineering students, automation systems analysts, and smart manufacturing practitioners. Aligned with core ABET and CEAB industrial, manufacturing, and systems engineering syllabi, this module provides an in-depth treatment of digital enterprise integration, CAD/CAM workflows, Manufacturing Execution Systems (MES), shop-floor robotics, and closed-loop process automation.

Curricular & Technical Highlights:

• Functional System Architecture: Employs an IDEF0 (Input-Control-Output-Mechanism) workflow to demonstrate how curriculum inputs, manufacturing standards (ISA-95, ISO 10303 STEP), and process data are transformed through CNC machinery and automation platforms into practice-ready systems engineering capabilities.
• Enterprise Digital Continuity (CAD/CAM/MES/ERP): Detailed architectural mapping linking parametric 3D CAD definitions, automated CAM toolpath compilation, real-time MES shop-floor execution, and top-level ERP planning without manual data transcription.
• Flexible Manufacturing Systems (FMS) Dynamics: Quantitative mathematical modeling of parallel CNC machining capacities, robotic material handling latencies, automated guided vehicle (AGV) fleet sizing, and Little’s Law Work-in-Progress (WIP) queuing behavior.
• Workcell Reliability & Process Control: Rigorous formulations evaluating series-system automated line reliability (R_sys = ∏ R_i), Overall Equipment Effectiveness (OEE) decomposition, and in-line First Pass Yield (FPY).
• Comparative Systems Engineering: A multi-criteria systems trade-off matrix evaluating the ISA-95 hierarchical pyramid, IIoT edge-cloud meshes, Unified Namespace (UNS) brokers, proprietary FMS turnkey cells, and cloud-native MES platforms across deterministic latency, capital intensity, interoperability, and cybersecurity posture.
• Worked Quantitative Engineering Problems: Step-by-step numerical solutions covering FMS multi-station bottleneck identification and capacity scaling, shift OEE calculation, takt time and line balancing, CNC face-milling cutting duration, AGV fleet sizing, robotic workcell capacity, Economic Order Quantity (EOQ), multi-station Production Lead Time (PLT), series machine reliability, and CNC spindle RPM determination.
• Self-Assessment & Concept Review Modules: Comprehensive interactive review questions, analytical scenario investigations, and applied quantitative engineering problem sets.

Canonical web edition and interactive dynamic simulators: https://prep4uni.online/stem/physical-technologies/industrial-and-manufacturing-technologies/computer-integrated-manufacturing-cim/