Lean Six Sigma Yellow Belt

Lean Six Sigma Yellow Belt Training

You can start the courses anytime after you have been enrolled in the course.

Delivery format: Online self-paced. ��ý 12 hours of video lectures with self-assessment quizzes (not graded) and a multiple-choice exam (graded).
Credentials: At successful completion, you will earn the Yellow Belt Certification, and the Lean Six Sigma Yellow Belt badge will be issued. A ��ý-issued course completion certificate is also available for successful participants. A grade of 70% or higher is required to pass the course and earn the certification and badge.
Who can take this course: This course is intended for all engineers as well as non-engineers, professionals, faculty, and students, and is appropriate for both technical and non-technical audiences. The Yellow Belt course is not a prerequisite for the Green Belt course, but it is a good first step for those who would like to pursue their Green Belt certification.

ABOUT THE COURSE

Lean Six Sigma is a process-improvement methodology that accelerates processes, increases efficiency, and reduces or eliminates variation. Competition for customers is increasing throughout the corporate world, putting company profits at risk. Furthermore, customer expectations are changing rapidly as the rate of information increases, and the operating costs within companies are escalating. Now, more than ever, achieving process excellence is essential.

The Yellow Belt training serves to emphasize why the implementation of Lean Six Sigma is vital to the continuous improvement of a wide variety of industries. The course is designed for people who are new to Lean and Six Sigma, and it teaches the foundational Lean Six Sigma concepts.

Several applications of Lean Six Sigma concepts will be presented throughout the course to illustrate the value of incorporating these practices into any business.

TOPICS COVERED

Continuous process improvement (CPI) with emphasis on both Lean Six Sigma concepts and methodologies.
Lean concepts, tools, and their applications, such as 5s, waste reduction, value stream mapping, and error proofing.
A high-level introduction of the DMAIC framework (Define, Measure, Analyze, Improve, and Control) to solve issues and transition CPI projects from one phase to another.
Integration of both Lean and Six Sigma for achieving data-driven process improvement results.
Team dynamics and leadership to deliver successful CPI projects with superior results.

THE INSTRUCTOR

Mohammad T. Khasawneh

SUNY Distinguished Prof; School Director; Healthcare Systems Engineering / Health Systems / Manhattan Graduate Program Director; SUNY Distinguished Professor; Director

School of Systems Science and Industrial Engineering; Watson Institute for Systems Excellence (WISE)

mkhasawn@binghamton.edu
607-777-4408
EB R18

Background

Mohammad Khasawneh is a SUNY distinguished professor and chair of Systems Science and Industrial Engineering at ��ý. He received his PhD in industrial engineering from Clemson University in August 2003 and his BS and MS in mechanical engineering from Jordan University of Science and Technology, in 1998 and 2000, respectively.

Khasawneh’s research is focused on healthcare systems engineering, operations management, and data science. He serves as the director for the Watson Institute for Systems Excellence (WISE), an institute for advanced studies that generates $2.5-3 million in research funds annually. In addition, he is the founding director of the Healthcare Systems Engineering Center, an organized research center (ORC) at ��ý.

Since 2003, Khasawneh has been leading a wide spectrum of projects with U.S. hospital systems that focus on applied research in the area of healthcare systems engineering. More specifically, his research is focused on the novel application of systems engineering to transform healthcare systems into high-performance environments that produce better patient outcomes at lower costs. His work is applied in ways that lead to optimal healthcare, including more efficient use of hospital resources; better outpatient scheduling; streamlined patient flow; improved patient satisfaction; reduced hospital-acquired conditions (such as infections and patient falls) through predictive analytics; and improved clinical, operational and financial performance using advanced data science methods.His health systems engineering center generates over $1 million annually in sponsored research from various healthcare and hospital systems.

Building on a successful research program and partnerships with health systems around the country and an academic concentration/minor, at the graduate/undergraduate levels, Khasawneh developed a 12-month Executive Master of Science with a Health Systems Concentration, which has been offered in Manhattan since 2013. He has also been instrumental in developing a new MS degree program in Healthcare Systems Engineering.

Over the years, Khasawneh presented his research at various national and international conferences, including China, India, Mexico, Jordan, Korea, Thailand, Japan, Turkey, Indonesia, and Canada. His research activities thus far have led to 60-plus refereed journal articles, 120-plus conference articles, one patent and three new invention disclosures. In addition, his sponsored research efforts thus far have resulted in over $15 million in external funding and over $39 million in software/equipment grants.

In 2006, Khasawneh received a U.S. Air Force Summer Faculty Fellowship to evaluate the use of multi-sensory cues to improve the landing of unmanned aerial vehicles. In 2009, he received another fellowship from the U.S. Air Force Office of Scientific Research to design ergonomic computer workstations for very large displays. He received the State University of New York (SUNY) Chancellor’s Award for Excellence in Teaching in 2011, the University Award for Outstanding Graduate Director in 2015, the University Award for Excellence in International Education in 2016, and the SUNY Chancellor’s Award for Excellence in Scholarship and Creative Activities in 2021. He is a member of the
Alpha Pi Mu and Alpha Epsilon Lambda honor societies.

Khasawneh also holds Diplomate status with the Society for Health Systems (SHS), a professional society within the Institute of Industrial and Systems Engineers (IISE) that supports the industrial engineering profession and individuals involved with improving quality and productivity within healthcare. More recently, Khasawneh was also recognized as an IISE Fellow, the highest classification of the IISE membership. He also holds an honorary visiting professor position with the Industrial Engineering Department at Hebei University of Technology in Tianjin, China, and Vellore Institute of Technology in Vellore, India.

In 2022, Khasawneh was named a SUNY distinguished professor, the highest faculty rank that SUNY awards. It is reserved for those who have achieved national or international prominence and an exemplary reputation within their discipline.

Education

BS, MS, Jordan University of Science and Technology
PhD, Clemson University

Research Interests

Healthcare systems engineering
Operations management
Advanced analytics

Awards

University Award for Excellence in International Education, State University of New York (2015-2016)
University Award for Outstanding Graduate Director, State University of New York (2014-2015)
Chancellor’s Award for Excellence in Teaching, State University of New York (2010-2011)

COURSE FEES

$300 Standard rate/Industry
$225 BU and SUNY faculty/staff, BU Alumni graduated May 2025 or before)
$175 Non-SUNY students (must be matriculated)
$150 BU and SUNY students/High School Students/Recent Alumni (graduated Dec. 2022 or later)

QUESTIONS

For questions, contact the Office of Industrial Outreach at:
Phone: (607) 777-6251
Email: wtsnindy@binghamton.edu

CANCELLATIONS AND REFUNDS

No refunds for cancellations or non-attendance will be given after the learner is enrolled and added to the course. A 10% administrative fee will be applied to all refunds. Submit your cancellation request in writing to EMAIL: wtsnindy@binghamton.edu.

If the course is canceled, enrollees will be advised and receive a full refund.

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