Efficiency Elevated.
Twenty-first century product and service quality are essential to modern completeness. Lean Six Sigma methodology is a systemic way to solve problems to reduce defects and process various towards continuous improvement. The Undergraduate Certificate in Lean Six Sigma focuses on theory and practices on statistical methods, quality control systems, quality audit, quality control improvement, design and analysis of experiments, quality product design, and quality control in manufacturing, product development, defense applications and service systems.
The 18-credit-hour Undergraduate Certificate in Lean Six Sigma consists of six three-credit mainly engineering courses that concentrate on quality.
You may apply up to nine credits from Lawrence Tech’s undergraduate or graduate program toward your certificate.
Course Name
Course #
Credits
The course will cover modern design tools and methods on the Six Sigma paradigm. Topics include tools and methods including process flow diagrams, cause and effect diagrams, gage R&R, organizational leadership, product development, system integration, critical parameter management, quality function deployment, concept generation, and strategy for organizing six sigma techniques in industry among many others. Provide useful tools to conceive new product requirements, design baseline functional performance, optimize design performance, and verify system capability.
EIE3453
3
The course will cover six sigma tools and methods to understand defects per million opportunities (DPMO). It will address process variation reduction and defect reduction. Topics include basic six sigma process of define, measure, analyze, improve and control. It will focus on design for six sigma in product development with PPAP and APQP standards.
EIE4643
3
This course is developed to provide students with fundamentals of lean manufacturing, lean production preparation, System assessment, process value-stream mapping, sources of waste, lean production processes, workplace organization – 5S, stability, just-in-time, one piece flow, pull systems, cellular manufacturing systems, quick change and set-up reduction methods, total productive maintenance, poka-yoke, mistake proofing, continuous improvement, visual management, employee involvement, cross functional teams, involving people in the change process, importance of culture and sustaining improvement and change.
EIE5513
3
Course Name
Course #
Credits
Excelling in world class manufacturing. Concurrent engineering, product development, quality engineering, automated inspection and testing, statistical process control, cellular manufacturing, manufacturing cost estimating, total productive maintenance, agile manufacturing, quality systems standards, and total quality. Lecture 3 hrs.
EME4143
3
Considerations for developing and implementing effective quality systems. An overview of thee fundamentals of statistical principles and analysis of process variability, sampling techniques, control charts, ISO 9000/QS 9000 and process improvement.
EME4313
3
Underlying probabilistic aspects of simulation experiments, statistical methodology for designing simulation experiments and interpreting output. Random number generators, variate and process generation, output analysis, efficiency improvement techniques, simulation and optimization, how commercial simulation software works.
EIE3753
3
The course will cover six sigma applications in real-world situations. Various industry best practices will be addressed. A six sigma project is required related to real world application where six sigma tools will be used to solve the industry problems. A detailed technical report and presentation will be required.
EIE5653
3
This course explains the principles of reliability and maintainability engineering. It explains the reliability viewpoints: reliability metrics, customer perception, and things engineers do. It focuses on the reliability cycle and functional engineering activities in the product life cycle. The students will apply reliability and maintainability modeling techniques in product design. They will apply reliability tools and methods for analysis and product reliability problems in the product design process, product reliability testing, and maintaining and/or improving reliability and quality in production. Topics include: basic reliability models, constant failure rate model, time-dependent models, reliability of systems, state-dependent systems, design for reliability, maintainability, design for maintainability, availability, the analysis of failure data, reliability estimation and applications. Competencies and collaborative e-learning will be demonstrated by students conducting reliability and/or maintainability projects. A project report and an oral presentation are required from each team.
EIE5613
3
This course presents theory and practice for testing software and assuring its quality. Topics include introduction to software quality, software standards, software reviews and inspections, software verification & validation, software quality management, software quality assurance, software measurements & metrics, software security, and formal/informal proofs of program correctness. Topics related to testing include stages of testing, types of testing, testing techniques, designing test-cases, test coverage analysis, automated testing tools, and performance testing tools. This course will provide students with practical experience using a different testing techniques such as Unit Testing, User Interface Testing, Continuous Integration, and Test-Driven Development (TDD) for software projects.
Students gain hands-on experience in planning and managing software development through real-world projects. By implementing a term project, students will learn how software projects are planned, developed, monitored, and controlled. This course will cover in-depth software project management topics such as project planning, estimation, scheduling, tracking, risk management, configuration and change management, and version management. This course will strongly emphasize collaboration, continuous integration, and continuous delivery using agile software development methodologies. Agile framework and tools such as SCRUM, XP, Kanban, and/or JIRA are covered and applied to the term project.
MCS4513
3
This course covers a new or specialized topic in industrial engineering for which there is a strong faculty and student interest, but is not covered in other courses.
EIE4983
3
Prerequisite: MCS 3403 – Probability & Statistics
Applicants to the Undergraduate Certificate in Lean Six Sigma must:
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Log in and start your Zoom session with participants
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