ÂÌñÉç

Lean Six Sigma Black Belt
June 7, 2023 - Aug. 30, 2024

June 5, 2024 - August 29, 2025

ÂÌñÉç the Black Belt Training

• Designed for Lean Six Sigma team leaders.
• Expands upon the skill-set taught in the Green Belt certification.
• Only offered through distance learning (see requirements section below)
• Uses the University's Blackboard Learn course management system and Panopto recordings to deliver lectures, notes and other information.
• Gives valuable business tools to organize, coordinate and lead your organization in achieving process and operational excellence.
• Emphasizes the DMAIC (Define, Measure, Analyze, Improve and Control) methodology through analytical and quantitative tools as well as project management, leadership and organizational methods.
• Instruction on modules in practical DMAIC applications, Failure Mode Effects Analysis, Advanced Lean, Advanced DOE, SPC for non-normal distributions, Optimization, Scheduling & Sequencing, Effective and Efficient teamwork strategies as well as a variety of other tools and analysis methodologies.
• Completion of lecture material and a grade of 70% or higher on the open book examination is required to earn the Lean Six Sigma Brown Belt and to proceed with the Black Belt project
• One year to complete a successful Black Belt Project.
• Certification is not necessary to use the tools and generate improvements (some organizations require certifications for internal and new hire employees in roles that require lean six sigma expertise).

Open to

• Current ÂÌñÉç, non-ÂÌñÉç students.
• ÂÌñÉç alumni.
• Members of industry and non-profit and government agencies.

Requirements

• Knowledge/education in probability & statistics and/or quality control.
• A Six Sigma Green Belt (or higher) certification from a recognized program (e.g. the LSS Green Belt program conducted in January 2012 by Dartmouth/ÂÌñÉç or 2013-2017 training from ÂÌñÉç); a technical society such as the American Society of Quality or the Surface Mount Technical Association; or another University's offering. Your prior certification can be from a "non-Lean" Six Sigma program.
• Computer/Laptop with Microsoft Excel.
• A trial version (free for 30 days) of the  (for statistical analysis) a day before the start of the training program.   for all ÂÌñÉç students.
• .

Materials Provided

• All Instructional Materials.
• Soft copies of slides.  Students will be responsible for printing documents if desired.
• All students will be provided with access of slides and lectures via Blackboard course management system. Sessions will be available to view online via Panopto for up to one year.
• Support via email, phone and virtual office hours with instructors.
• Grading of take-home exam.
• Instructor support towards the Black Belt project.
• Lean Six Sigma Black Belt Certificate of Completion upon successful completion of exam and project.

Course Outline

• Read More

  Participants should be prepared to proactively schedule their time in order to complete this offering in a timely manner.

  Links to the pre-recorded sessions and slides will be sent out by June 11.  These sessions should be completed during June and July in order to provide sufficient time to complete the exam.

  These links will be available until the end of August 2019. 

  Lecture	Day	Session	Length (minutes)	Topics	Instructor
  1	1	1	90	Program Overview, Certification Reqs, Continuous Improvement, Basic Statistics	Dr. Mohammad Khasawneh
  2	1	2	90	Lean Tools	Dr. Mohammad Khasawneh
  3	1	3	75	Process Capability, DPMO (PPM), DMAIC Problem Solving Framework	Dr. Daryl Santos and Dr. Mohammad Khasawneh
  4	1	4	105	DMAIC Problem Solving Framework, Lean Six Sigma, Statistical Process Control	Dr. Mohammad Khasawneh and Dr. Daryl Santos
  5	2	1	90	Project Management, Project Selections, Project Charter	Ms. Connie Dwyer
  6	2	2	90	Stakeholder Analysis, VOC & VOP, Customer Requirements, Business Problem Solving	Dr. Nagen Nagurur
  7	2	3	75	Team Management, Leadership Skills, Team Dynamics	Dr. Nagen Nagurur
  8	2	4	110	Critical Success Factors, Balanced Scored Toolset, Kano Analysis, Dasboard	Mr. Mike Ford
  9	3	1	90	MSA, Gauge R&R Study	Dr. Daryl Santos
  10	3	2	90	Hypothesis Testing, ANOVA, MANOVA. Nonparametric Tests	Dr. Shuxia (Susan) Lu
  11	3	3	75	Correlation Analysis, Regression Analysis, Multiple Regression	Dr. Shuxia (Susan) Lu
  12	3	4	105	Logistic Regression Analysis, Root Cause Analysis, FMEA, Visual Analysis	Dr. Shuxia (Susan) Lu and Dr. Daryl Santos
  13	4	1	90	Factorial Experiment, Fractional Factorial Experiment, Minitab	Dr. Shuxia (Susan) Lu
  14	4	2	90	Factorial Experiment, Fractional Factorial Experiment, Minitab - continued	Dr. Shuxia (Susan) Lu
  15	5	1	90	Reliability Total Productive Maintenance	Dr. Shuxia (Susan) Lu
  16	5	2	90	Theory of Constraints, Process Balancing, Simulation, Process Forecasting, Process Management Plan	Dr. Nagen Nagarur
  17	5	3	75	Visual Analyisis, 7 Basic Tools of Quality, 7 New Tools of Quality	Dr. Daryl Santos
  18	5	4	105	MANOVA with Minitab, Regression with Minitab, Correlation with Minitab	Dr. Shuxia (Susan) Lu
  19	6	1	90	Systems Engineering, House of Quality	Dr. Sangwon Yoon
  20	6	2	90	2P/3P, A3 Report, Benchmarking, Heijunka, MultiVoting Planning, Hoshin Planning	Mr. Mike Ford
  21	6	3	75	Design for Lean Six Sigma, Piloting a Solution, Action Plans, Conflict Management, 6 Sigma Culture	Mr. Mike Ford
  22	6	4	105	Change Management, GEMBA, Kaizen, Pitfalls leading to non-successful Kaizen Events	Mr. Mike Ford
  23	7	1	90	Best Practive, Lesson Learned, Control Plans, Short Line Charts, Non-Normal Charts	Dr. Daryl Santos
  24	7	2	90	Advanced Statistical Process Control, Sampling and Power	Dr. Daryl Santos
  25	7	3	75	Priority Selection Toolset, Financial Analysis, CBA, Progress Review, Improved Tollgate	Mr. Mike Ford
  26	7	4	105	Integrated Exterprise Excellence, ISO 9001, Malcolm Baldridge, Job and Market, Exam/Project Discussions	Ms. Ying Han and Dr. Daryl Santos
  			TOTAL 2345 minutes = over 39 hours

Exam

• Exam is due September 30th, 2024
• Overall score of 70% or greater is required to pass the test. Notification of exam completion will be by early December at the latest.
• 40+ hours needed to complete the exam.
• Late submissions and extensions will NOT BE ACCEPTED.
• Brown Belt certification conferred upon successful completion of the exam.
• If failed, can retake the exam by paying a retake/regrade fee of $200.  Only one retake is permitted.

Project

• Project Charter due no later than  February 1st, 2025.
• Supporting updates (Project Checkpoint Measures) are due on May 1 and July 1, 2024.
• Final project due August 30, 2025  NOTE:  Approval of Project Charter and subsequent Project Checkpoint Measures required prior to submission of the final project.
• Black Belt certification conferred upon successful satisfactory review by the Lean Six Sigma teaching staff.
• The Black Belt project should solve a real problem in any industry or non-profit agency.
• The project must not require disclosure of confidential or proprietary information.
• ÂÌñÉç Black Belt team will provide guidance to the candidate during the project completion period; however, it is up to the candidate to find a project. It is often that a University student candidate may use a senior project or MS or Ph.D. thesis material as a Black Belt project.
• If the student chooses to use the Senior project or MS or Ph.D. thesis material as a Black Belt project, the ÂÌñÉç team does not need access to proprietary information used, nor do they need to be on the student's thesis committee.
• Black Belt project usually takes three to twelve months of work to complete and is conducted by individuals or teams at their place of business within a year of completing the coursework.

Instructors

This course will be lead by a team of faculty from the School of Systems Science and Industrial Engineering as well as graduate students and industry professionals.

• Constance (Connie) Dwyer, MS '95
  • Gas Operations Supervisor Process Improvement, AVANGRID, Inc.
  • Lean Six Sigma Black Belt, Villanova University
  • Trainer, Lean Six Sigma Green Belt, NYSEG
  • Adjunct Professor, ÂÌñÉç
  • Ms. Dwyer has led and been a member of 12 projects to improve business performance utilizing lean six sigma methodology ranging in quantifiable results from improved efficiency output percentages to more tangible results in the millions of dollars.

• Michael D. Ford
  • Principal, TQM Works Consulting
  • Adjunct Professor and Corporate Trainer, Penn State University
  • Instructor, APICS
  • APICS' Certified Supply Chain Professional (CSCP) and Certified Fellow in Production & Inventory Management (CFPIM) as well as the ASQ's Certified Reliability Engineer (CRE), Certified Quality Engineer (CQE), Certified Quality Auditor (CQA), Advanced Certified Professional Forecaster (ACPF), Certified Professional in Supply Management (CPSM)
  • B.S. Industrial Engineering, SUNY Buffalo

• Ying Han
  • Ph.D. candidate, Systems Science and Industrial Engineering, ÂÌñÉç
  • Research Associate, Watson Institute for Systems Excellence (WISE), ÂÌñÉç
  • MS, Mechanical Engineering, University of Nebraska-Lincoln

• Shuxia (Susan) Lu
  • Associate Professor in Systems Science and Industrial Engineering Department
  • Ph.D., Texas Tech University
  • Research Interests: Reliability, Statistical Process Control, Information Technology, Computer Integrated Manufacturing

• Mohammad Khasawneh
  • Professor and Department Chair in Systems Science and Industrial Engineering
  • Associate Director, Watson Institute for Systems Excellence
  • Director, Healthcare Systems Engineering Center
  • Graduate Program Director, Executive Master of Science in Health Systems
  • SUNY Chancellor's Award for Excellence in Teaching
  • Ph.D., Industrial Engineering, Clemson University
  • Research Interests: Healthcare delivery systems, Human factors engineering/ergonomics, Digital human modeling in manufacturing and healthcare

• Nagen Nagarur
  • Professor in Systems Science and Industrial Engineering Department
  • Assistant Director for Supply Chain Management, Logistics and Manufacturing System, Watson Institute for Systems Excellence
  • Ph.D., Virginia Polytechnic Institute and State University
  • Research Interests: Reliability of micro-electronic components, quality control, supply chain modeling

• Daryl Santos
  • Professor, Systems Science and Industrial Engineering Department
  • Undergraduate Director of Industrial and Systems Engineering
  • Director of Integrated Electronics Engineering Center (IEEC)
  • Manager of Electronics Assembly Lab 
  • Lean Six Sigma Black Belt
  • SUNY Chancellor's Award for Excellence in Scholarship and Creative Activities
  • SUNY Chancellor's Award for Excellence in Teaching
  • Ph.D., University of Houston
  • Research Interests: Production scheduling and control, engineering optimization, CIM, engineering management, electronics packaging

• Sang Won Yoon
  • Assistant Professor, Systems Science and Industrial Engineering Department
  • Ph.D., Purdue University
  • Research Interests: Integrated production and service systems, healthcare systems engineering, decentralized decision modeling, collaborative control theory, enterprise collaboration and coordination

Fees & Deadlines

 We will stay open for registrations until June 30, 2024.

Organization Type	Fee
Industry	$1,950
Government, Non-Profit, Full-Time Non-ÂÌñÉç Students, ÂÌñÉç Alumni (graduated before May 2023 )	$1,850
Full-Time Current ÂÌñÉç Students & recent ÂÌñÉç Alumni (graduated May 2023 or after)	$925

Group pricing may be available upon request. Contact wtsnindy@binghamton.edu

We reserve the right to cancel our sessions.  If canceled, fees will be refunded in full.

Making Payments

Arrangements for payment must be made before the start of the program. 

Payment Type	Notes for Payment
Credit Card/Paypal	Payment is required at the time of registration.  We accept Visa, MasterCard, Discover, AMEX or PayPal.
Check	Please contact Kodylynn Perkins at wtsnindy@binghamton.edu if you would like to pay by check. Checks must be received by our office before you can register for the course.

Contact us:

• Kodylynn Perkins, SPIR Staff Assistant, wtsnindy@binghamton.edu, (607) 777-6251
• Michael Testani, Director Watson Industrial Outreach, wtsnindy@binghamton.edu, (607) 777-6243

Cancellation and Refund Policy

• All cancellations must be received in writing (email, fax, or letter) by 9 am on June 7, 2024.
• Allow up to three weeks to receive your refund.
• No refunds for cancellations or non-completion after the deadline.
• Refunds are not issued after the course has begun; however, substitutions may be made anytime before the beginning of the course by informing the Office of Industrial Outreach.
• If the course is canceled, enrollees will be advised and receive a full refund.
• Cancellations on confirmed registrations are subject to a $50 administrative fee.