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Course Criteria
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3.00 Credits
Introduces materials and processes common to Advanced Manufacturing Technology. This course will emphasize a practical understanding of materials used in production processes. Techniques for proper selection, evaluation, measurement and testing of materials will be covered. Students will be required to perform basic manual and machine production processes in a project oriented learning environment.
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3.00 Credits
Introduces the basic theory, operation, and programming of automated manufacturing systems. The course will focus on three main types of manufacturing automation including; Programmable Logic Controllers (PLC), Computer Numerically Controlled Machines (CNC), and Robotics. Students will be required to design, program and troubleshoot computer controlled machine logic and production processes in a project oriented learning environment.
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3.00 Credits
Introduces the basic concepts of manufacturing operations management and production control activity. This course serves as an introduction to the effective use of the principles of manufacturing competitiveness, company profitability, and superior customer service.
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3.00 Credits
Introduces students to the various components of logistics with emphasis on how logistics relate to manufacturing operations. Topics will include logistics systems, supply chain management, order, demand inventory and warehouse management, and the control systems and automated components of logistics systems. Logistics concepts are approached from a manufacturing perspective with a focus on system integration and automation and lean manufacturing applications.
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3.00 Credits
Introduces the common types electrical wiring circuits used for power and control of electrical devices and motors used in advanced manufacturing. Topics covered will include electrical safety, terminology, and interpretation of electrical symbols, motor theory, motor wiring, control wiring, and ladder diagrams.
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3.00 Credits
Introduces the philosophical background, historical development, fundamental concepts, operating fundamentals, and the organizational rationale for the implementation of lean disciplines in manufacturing. The course also applies to the application of lean disciplines and concepts to service and support industries. The use and implementation of lean disciplines has generally resulted in the ability of an enterprise to develop a work environment that promotes continuous improvement, eliminates waste, reduces operating cost, improves quality, and achieves measurable improvement in customer satisfaction.
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3.00 Credits
Introduces the common types of Programmable Logic Controllers (PLCs) and electric motor drive systems used in advanced manufacturing. Topics covered will include PLC theory, PLC installation, control wiring, ladder diagrams, AC & DC motor drive application and installation.
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3.00 Credits
Introduces the basic principles and practices of sensor technology used in advanced manufacturing. This course will prepare students to utilize commonly used sensor technology from simple switches to complex modern sensors. Students will be required to match appropriate sensor technology with specific manufacturing processes.
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3.00 Credits
Continues to develop the theory, operation, and programming of automated manufacturing systems. This course will focus on three main types of manufacturing automation including; Programmable Logic Controllers (PLC), Computer Numerically Controlled Machines (CNC), and Robotics. Students will be required to integrate and troubleshoot computer controlled machines in a manner that represents actual advanced manufacturing production processes in a project oriented learning environment.
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3.00 Credits
Covers current quality improvement concepts and techniques in industry with emphasis on modern manufacturing requirements. This course introduces the fundamental tools of Statistical Process Control (SPC) as they are used in industry to reduce costs, identify root cause, and increase productivity at a predictable quality level. Applied principles and techniques of total quality systems will be utilized to ensure correct definition, measurement, analysis, and improvement of common manufacturing problems. Areas of study include; basic statistical and probability theory, sampling techniques, process control charts, nature of variation, histograms, attributes and variable charts.
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