Fixing long standing problems in a process is not easy. To ensure the solution is of value to the organization, we must implement the change in a way that is sustainable. But how will we know if the change worked? First and foremost, we must try to understand how the process currently functions. Key to gaining this understanding is to collect and visualize data on the process.
In this 90-minute online session, we will discuss historical variable data and, using a case study, explore what the data does and does not tell us. Additionally, we will introduce specific statistical and graphical tools that process improvement practitioners can utilize to provide insights into their baseline process.
This session will introduce four key concepts that will enable you to effectively understand your variable process output data and help you communicate the process performance to your organization:
Knowing where to start with your data. When we get our data, one of the most helpful initial tasks is to create a graphical summary. This not only helps us to visualize the historical data but also allows us to characterize the process output in terms of central tendency, spread and shape. Also knowing more about your data collection and confirming that it is variable and not attribute will help us embark on the correct journey.
Using graphs to know your process. Graphical analysis is a powerful tool and can be used not only to get insights into your process but also to share these insights with others. Some graphs help us to know our data and others help us to show our data. We will introduce three key charts that will help you to assess the stability of your process output and other features. These are the:
Identifying the common distribution. Many processes have outputs that match common statistical probability distributions. One that is likely familiar is the normal probability distribution; however, there are others that may be more appropriate to your particular process output. Often, when we are looking at cycle time improvements, a normal distribution is simply not adequate so we will look at alternatives. We will discuss:
Assessing your process capability. Ultimately one of the key questions we can ask is whether our processes deliver what our customers desire. Capability analysis takes our data and compares it with our customers’ specifications. Using common probability models we can not only create a snapshot of our performance but also predict our future ability to deliver to the customer specification. We will specifically focus on:
Who should attend
Renee Snell has more than 20 years of experience in developing and teaching continuous improvement techniques. A Lean Six Sigma Master Black Belt and statistical expert, she has mentored more than 1,000 practitioners in Lean and Six Sigma. In addition to her role as an instructor, Snell develops customized curriculum for organizations in both transactional and manufacturing industries. Snell holds a Master's degree in statistics and has completed post-graduate work in management science/statistics at the University of Tennessee, Knoxville.
As a Six Sigma Master Black Belt and instructor, Liz McArdle has more than 15 years of experience in process excellence and teaching Lean Six Sigma courses in classroom, eLearning and blended environments. In addition to instruction, she develops curriculum and facilitates problem solving workshops designed to identify and prioritize improvement opportunities. McArdle holds an Engineering Doctorate from the University of Warwick and a Master of Science from Cranfield University. She is also a Chartered Engineer.
Sign up for this online training course
90 minute course
This four-part series explores the data and analysis tools that enable today’s process excellence practitioner to achieve a deep understanding of their processes, leading to opportunities for sustained improvement within their organization. From Measure, where we explore our baseline process through to Analyze, where we uncover the root causes driving our performance, attendees will take a journey on how to capture validated data to investigate and improve their processes. Discounts available when you register for the entire series.
• A login for the live training course
Each registration entitles you to receive continuing education credits through our partnership with the International Association for Continuing Education & Training (IACET). During the training session, you'll receive instructions on how to claim your credits.
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• A CD-ROM of the training course can be added to any registration for an additional $99.
This training session, presented in partnership with IndustryWeek, will be conducted using a slides-and-audio format. You will also have the ability to ask the instructor questions, and you can participate in polls the instructor pushes to the audience during the session.
After you complete your registration, you will receive a confirmation email with details for joining the training course, as well as your unique password. On the day of the training, use the instructions in this email to log in.
A few days after the live training session is over, you'll receive an email informing you that the on-demand version is available.