Smart Manufacturing Engineering - Bachelor of Science in Engineering
For information, contact the Department of Mechanical and Manufacturing Engineering, 56 Garland Hall, 513-529-0710.
This program is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org.
Manufacturing continues to remain one of the leading contributors to the national GDP, and the growth and innovation within nearly all sectors of manufacturing can be attributed to data driven solutions. Smart manufacturing uses data generation and evaluation at various scales to help make informed decisions from control of specific equipment to the operation of an entire factory. Smart or intelligent manufacturing technologies being applied to increase productivity, improve quality, and reduce costs include digital engineering/design/manufacturing, robotics and automation, real-time data analytics, lean and agile process management, six sigma statistical process control, and additive manufacturing. Smarter, automated and more flexible companies need academically qualified and skilled manufacturing engineers.
Creating appropriate engineering solutions to the current problems facing industry and society often involves complex social, political, environmental and economic issues. The department provides graduates with an in-depth education in mathematics, science, engineering, and design, with a focus on smart or digital manufacturing processes, data analytics, predictive maintenance, system engineering, digital twins, methods and materials, as well as requiring a broad education in computing, economics, and the liberal arts. The department is committed to excellence in undergraduate education: student learning, classroom effectiveness, assessment, engineering design, professional ethics, student advising and opportunities for leadership.
Graduates typically work as manufacturing engineers in areas such as product and process development and design, quality control, advanced manufacturing, lean manufacturing, systems design and integrator, process and plant-facilities design, project management, and industrial engineering. After gaining industrial experience, graduates often move into organizational management positions. Graduates are also prepared to continue their education at the graduate level. Graduating seniors are encouraged to take the Fundamentals of Engineering examination, which is the first of two examinations that lead to becoming a licensed professional engineer.
For information, contact the Department of Mechanical & Manufacturing Engineering, 56 Garland Hall (513-529-0710) and visit our web site: http://www.CEC.MiamiOH.edu/MME/
Program Educational Objectives
Graduates of Miami's Smart Manufacturing Engineering program are expected to attain or achieve the following Program Educational Objectives within a few years of graduation:
- Advance in their chosen profession and/or in their pursuit of an advanced degree.
- Demonstrate leadership and teamwork characterized by Miami University’s Code of Love & Honor.
- Apply sound engineering principles and skills to synthesize innovative solutions to customer needs and challenges.
- Execute responsibilities in an ethical manner.
Student Outcomes
The Student Outcomes, from ABET Engineering Accreditation Commission (EAC) criteria, prepare graduates of the Mechanical and Manufacturing Engineering programs to attain the Program Educational Objectives.
- EAC (1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
- EAC (2) An ability to apply engineering design to produce solutions that meet specified needs with consideration to public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
- EAC (3) An ability to communicate effectively with a range of audiences
- EAC (4) An ability to recognize ethical and professional responsibilities
- EAC (5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
- EAC (6) An ability to develop and conduct appropriate experimentation, analyze, and interpret data, and use engineering judgment to draw conclusions
- EAC (7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies
Smart Manufacturing Engineering Program Criteria
The Smart Manufacturing Engineering curriculum also provides graduates with:
MFG 1: An ability to design manufacturing processes.
MFG 2: An ability to design products and the corresponding processing machinery.
MFG 3: An ability to create competitive advantage by manufacturing planning, strategy, and control.
MFG 4: An ability to analyze, synthesize, and control manufacturing operations using statistical methods.
MFG 5: An ability to make technical inferences about a manufacturing process by measuring process variables.
Departmental Honors
If you excel in your studies, you may qualify for the University Honors Program or the program for Honors in Mechanical and Manufacturing Engineering. As a senior in these programs, you will have the opportunity to work closely with the faculty on research projects of interest.
Credit/No Credit Policy
All courses in chemistry, physics, biology, mathematics, statistics and those in the College of Engineering and Computing (CPB, CSE, CYB, ECE, MME, CEC, EGM) that are used to fulfill requirements of the major, must be taken for a grade.
Divisional Policy
Multiple Majors: Students with two or more majors in the College of Engineering and Computing must take a minimum of 15 unique, additional credit hours in each major.
Program Requirements
(128 semester hours minimum)
Note: MME 331, 435, 432 are offered only in the fall semester (typically) and MME 337, 433 are offered only in the spring semester (typically).
Code | Title | Credit Hours |
---|---|---|
Core Requirements | ||
CHM 141 & CHM 144 | College Chemistry and College Chemistry Laboratory | 5 |
ECO 201 | Principles of Microeconomics | 3 |
ENG 313 | Technical Writing | 3 |
MTH 151 | Calculus I | 4 |
MTH 251 | Calculus II | 4-5 |
or MTH 249 | Calculus II | |
MTH 246 | Linear Algebra and Differential Equations for Engineers | 4 |
PHY 181 & PHY 183 | General Physics I and General Physics Laboratory I | 5 |
PHY 182 | General Physics II | 4 |
STA 301 | Applied Statistics | 3 - 4 |
or STA 261 | Statistics | |
Engineering Science | ||
ECE 205 | Electric Circuit Analysis I | 4 |
MME 211 | Static Modeling of Mechanical Systems | 3 |
MME 223 | Engineering Materials | 3 |
MME 312 | Mechanics of Materials | 3 |
Manufacturing Engineering Core | ||
CEC 111 | Imagination, Ingenuity and Impact I | 2 |
CEC 112 | Imagination, Ingenuity, and Impact II | 2 |
MME 201 | Modeling and Design in Engineering | 2 |
MME 231 | Manufacturing Processes | 3 |
MME 232 | Polymer Processes | 3 |
MME 301 | Product Design and Development | 3 |
MME 305 | Measurements and Instrumentation | 3 |
MME 331 | Advanced Manufacturing and Design | 3 |
MME 334 | Quality Planning and Control | 3 |
MME 337 | Manufacturing Automation | 3 |
MME/CPB 341 | Engineering Economics | 3 |
STA 363 | Introduction to Statistical Modeling | 3 |
MME 411 | Machine and Tool Design | 3 |
MME 432 | Digital Manufacturing | 3 |
MME 433 | Smart Factory | 3 |
MME 435 | Process Engineering (Engineering Processes) | 3 |
MME 470 | Special Topics in Mechanical Engineering | 3 |
or STA 402 | Statistical Programming | |
or STA 404 | Advanced Data Visualization | |
Senior Capstone Engineering Design | ||
MME 448 | Senior Design Project | 2 |
MME 449 | Senior Design Project | 2 |
Technical Electives | ||
Select two of the following courses for a minimum of 6 credit hours: 1 | 6 | |
Introduction to Environmental Engineering | ||
Process Control | ||
Fundamentals of Problem Solving and Programming | ||
Object-Oriented Programming | ||
Optimization Modeling | ||
Stochastic Modeling | ||
Digital Systems Design | ||
Energy Systems Engineering | ||
MATLAB and its engineering applications | ||
Electronics | ||
Signals and Systems | ||
Dynamic Modeling of Mechanical Systems | ||
Fluid Mechanics | ||
Engineering Thermodynamics | ||
Mechanical Vibrations | ||
System Modeling, Analysis, & Control | ||
Special Topics | ||
Human Robot Interaction | ||
Heat Transfer | ||
Advanced Mechanics of Materials | ||
Engineering Thermodynamics II | ||
Sustainability Considerations in Design and Development | ||
Introduction to Applied Nonlinear Dynamics | ||
Total Credit Hours | 106-108 |
- 1
Other courses may be approved by petition.