Training Dates: Feb. 11-12, 25-26; Mar. 17-18, 31; and Apr. 1, 21-22
Participants in this 10-day duration course will learn the theory and application of tools and methods for successful completion of improvement projects in a manufacturing business environment. Tools for the application of the Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) improvement strategy will be introduced with hands-on exercises and tutorials to ensure rapid learning and knowledge retention. The training style is tell-show-do, with a strong emphasis on individual hands-on exercises and team-based activities. Training workbooks are comprehensive, self-contained, and serve as excellent references for learning and review. Classroom training sessions are interspersed with periods of work on actual company-supported improvement projects.
The key to improving process performance is the ability to understand, control and reduce variation. In this workshop, participants will learn how the monitoring and analysis tools of SPC can be used to achieve that goal. Going beyond the mere mechanics of SPC, this workshop will also guide participants through the steps needed to define a process and determine proper measurement techniques so that the right control chart is used in the right place at the right time.Find out more
Effective team leadership is a prerequisite for success in today’s high performance organizations. In this workshop, participants will learn how to successfully launch and lead teams. A strong emphasis is placed on learning and practicing the skills necessary to facilitate team development and manage change to achieve optimal performance and more creative solutions.Find out more
We're pleased to offer a new class! Register to take advantage of our introductory rates! Learn and improve your Python programming skills with real practical Machine Learning/Artificial Intelligence projects. The following Machine Learning project workflow will be covered: project documentation, team meeting review (Data Engineers, Data Scientists, Subject Matter Experts, Managers, IT Developers and Systems Administrators, etc.), data load, data profiling (data statistical analysis and data visualization), data preprocessing, data profiling, team meeting review, labels and features selection, features engineering (a data science art!), select and apply classic and modern algorithms, select best features and best algorithms, team meeting review, model deployment and unit test, model updates methodology and unit test, final project documentation, final team meeting review, etc. A very well-organized and real production Python code will be provided as well.Find out more
As the Project Manager, you’ve been asked to deliver the project status to senior management with less than 20 minutes to prepare. Part of your update includes delivering the bad news that manufacturing is having quality issues and won’t make the deadlines. What information do you need to pull together? What is your desired (presentation) outcome? How do you deliver bad news and maintain your composure? It’s imperative that your delivery is clear, logical, and addresses the needs of your audience. Your team is counting on you, and your reputation is at stake.Find out more
This course introduces students to the foundations of successful project management, especially in a technology environment. Students will learn key project management concepts, then immediately apply them in a hands-on team simulation.This course approaches project management from the standpoint of managing a single, stand-alone project that is small to medium in size. It takes students through the project life cycle in the same sequence they would face when managing a real project in the workplace.Find out more
By the end of the course, participants will be able to:
- Analyze data using the most appropriate statistical methods and interpret the results.
- Use statistical graphics to display data and the results of data analysis.
- Distinguish between comparison and correlation hypotheses.
- Apply the most appropriate statistical methods to test comparison and correlation hypotheses.
- Use a leading PC-based statistical software program.
Today’s highly competitive environment leaves no time for trial and error. Design of Experiments (DOE): Introduction provides a structured method for determining the relationship between factors affecting a process and the output of that process. With this information, you can quickly develop the optimum balance between factors leading to dramatic improvements in quality, cost, and productivity. Participants in this 16-hour course will gain a firm understanding of the statistical concepts and basic principles underlying Design of Experiments.Find out more
Two key goals of a quality management system are to find the root causes of actual and/or potential problems in order to develop and implement permanent solutions that are accepted, efficient, and effective. This 1-day workshop will show how to use root cause analysis tools and methods to find the underlying causes of problems that impact an organizations operations and profitability. You will also learn the methodology to address corrective actions. This workshop is perfect for the novice or for those desiring an invigorating refresher.Find out more
The FDA has more power to affect regulated companies than almost any other organization, yet many people don’t understand it. Many others ignore it as much as possible. But the FDA affects the job of every person in a medical device or drug company. This course is designed to provide participants with insight into what the regulations are, why they are there, where they fit together, when they apply, and how to interpret them. We will not just discuss Quality Systems and Good Manufacturing Practices, but also submissions, registration, clinical trials, recalls, and adverse event reporting. Each participant will develop a better understanding of the environment in which their company exists and how they can help their company thrive.Find out more
Quality Systems (QS) are sometimes viewed as a necessary evil or belonging only to production and QA personnel. However, effective QS can help a business not only comply, but excel. This course focuses on medical device companies and how to create, implement, and improve QS that match your company. Both FDA QS and ISO QS will be discussed. We will also cover: how different departments are impacted by QS, the biggest pitfalls in establishing and maintaining QS, and how to critically evaluate your QS. There will be group exercises and lots of interaction among participants to provide multiple options. In QS, it is definitely true that one size does not fit all!Find out more
Many organizations, such as FDA, ISO, OSHA, and EPA, can conduct audits or inspections in a biotech company. Most people view these events as scary, but there are ways to make them less difficult. The first method is compliance with the applicable rules. After that, preparation is the key. We will focus on these preparatory techniques, for example, using internal auditing as a tool, developing an inspection procedure, educating employees, and conducting mock inspections. Participants will roll-play being auditors and auditees.Find out more
Data Presentation Design is a half-day seminar and workshop that will improve your ability to create powerful data-focused presentations. Effective data presentations have tremendous power to influence the opinions and decisions of your audience. Whether you are creating presentations for internal team meetings or for large professional or public audiences, this course will teach you how to apply effective data visualization design and provides hands-on training with tools that will help you create engaging and persuasive data presentations.Find out more