The manufacturing systems minor provides students with a foundation in the professional study and practice of manufacturing operations. Students develop a required foundation of manufacturing processes and statistics, then they select three advanced manufacturing courses to fulfill the following requirements: quality engineering principles, engineering economics, lean production and supply systems, integrated design for manufacturing and assembly, or electronics manufacturing.
This introductory course investigates the four major categories of traditional manufacturing processes as well as newly developed non-traditional techniques. This course focuses on understanding the concepts of past and current manufacturing processes. Students will learn how typical industrial piece parts and assemblies are manufactured. Topics focus on processes and related theory for the traditional manufacturing processes of material removal, metal forming, joining, casting and molding, as well as more recently developed processes such as powder metallurgy, rapid prototyping, EDM, chemical machining, water jet, LASER and plasma cutting. (NTID Supported Students.) Lec/Lab 5 (Spring).
This course will focus on the understanding and application of manufacturing processes. Students will be challenged to discover and learn how typical piece parts and assemblies are manufactured. Topics include material properties and the following process families: casting, material removal, deformation, consolidation, powder metallurgy, plastics fabrication, EDM, water jet, chemical, LASERS, plasma, and rapid prototyping. (This class is restricted to MCET-BS or MECA-BS or RMET-BS or EMET-BS or MANUFSY-MN or ENGTEH-UND students.) Lecture 3 (Fall).
Choose one of the following
Probability and Statistics I
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer).
Introduction to Statistics I
This course introduces statistical methods of extracting meaning from data, and basic inferential statistics. Topics covered include data and data integrity, exploratory data analysis, data visualization, numeric summary measures, the normal distribution, sampling distributions, confidence intervals, and hypothesis testing. The emphasis of the course is on statistical thinking rather than computation. Statistical software is used. (Prerequisite: MATH-101 or MATH-111 or NMTH-260 or NMTH-272 or NMTH-275 or a math placement exam score of at least 35.) Lecture 3 (Fall, Spring, Summer).
This course covers basic statistical concepts and techniques including descriptive statistics, probability, inference, and quality control. The statistical package Minitab will be used to reinforce these techniques. The focus of this course is on statistical applications and quality improvement in engineering. This course is intended for engineering programs and has a calculus prerequisite. Note: This course may not be taken for credit if credit is to be earned in STAT-145 or STAT-155 or MATH 252.. (Prerequisite: MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 3 (Fall, Spring).
Probability and Statistics for Engineers I
Statistics in engineering; enumerative and analytic studies; descriptive statistics and statistical control; sample spaces and events; axioms of probability; counting techniques; conditional probability and independence; distributions of discrete and continuous random variables; joint distributions; central limit theorem. (Prerequisite: MATH-173 or MATH-182 or MATH-182A or equivalent course.) Lecture 3 (Fall, Spring).
Choose three of the following
Quality Engineering Principles
This course is designed to introduce the student to techniques required to maintain and improve quality within manufacturing organizations and the service sector through the use of statistical methodologies. The course covers concepts of quality, quality managements and assurance, product quality, design of quality control chart, statistical process control, and quality improvement through design by considering concept development and implementation. Traditional and modern quality systems will be discussed including the work of such quality gurus like Taguchi, Deming, Juran, and Shewhart. (Prerequisites: STAT-145 or STAT-205 or STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall).
This course provides in depth coverage of engineering economic analysis, which is the financial side of engineering decision making. Students are also taught ethical decision making through an introduction to an engineering professional code of conduct. Project planning/management are introduced to students. Presentation skills are enhanced with an emphasis on presenting to executives. (Prerequisites: Completion of MATH-111 or any other higher level MATH class is required.) Lecture 3 (Fall, Spring).
Lean Production & Supply Chain Operations
This course is designed to provide the student with knowledge and skills of contemporary theories and practices in operations and supply chain management employed by world class manufacturing organizations. Students are introduced to topics that include forecasting, aggregate planning, inventory management, capacity management, and supply chain management. Integrated with these topics are lean excellence tools VSM, 5S, Kanban, OEE and Standard Work Practices, Cycle Time Analysis. (Prerequisites: STAT-145 or STAT-205 or STAT-251 or MATH-251 or equivalent course.) Lecture 3 (Fall, Spring).
Integrated Design for Manufacture & Assembly
Integrated design for manufacture and assembly manufacturing processes are expanded and applied to the design process. Part concepts will be considered for various manufacturing processes to determine which process will yield the lowest cost part that meets all product functional requirements. Students will learn the DFMA methodology for making decisions to analyze the costs associated with their product concepts. Designs will consider the tooling that is required in product build and will understand the interrelationships between decisions and the cost associated with manufacture and service of the product. At the conclusion of the course students will be able to effectively design parts and assemblies for manufacture, assembly, and service. Costing will be considered at every step of the design process. (Prerequisites: MFET-120 or NETS-120 or equivalent course.) Lecture 3 (Spring).
This course provides a thorough understanding of the technology, components, equipment, materials and manufacturing process for through hole technology and surface mount technology electronics manufacturing. Students will develop a strong foundation needed for advanced work in surface mount technology (SMT). Topics in Design for Manufacturing are also considered for high volume vs. low volume manufacturing. Students may only receive credit for this course or MFET-655, not both. (Students cannot take and receive credit for this course if they have taken MFET-655.) Lecture 3 (Fall).