March 1 – 4, 2021 | Virtual
New Opportunities for a New Decade
New Opportunities for a New Decade2020 was marked by the most disruptive event in recent history, as a global pandemic forced the adoption of innovative production, logistics, and workforce solutions. The impact of artificial intelligence, the Internet of Things, and virtual tools was unmistakable, as organizations harnessed digital technologies as they pivoted in response to both local and global restrictions.
As best practices emerge from the experiences of COVID-19, quality professionals are learning that these new methods can pay significant dividends in the new decade. Nowhere is this more evident than in the solutions offered by lean and Six Sigma practices, and at the 2021 Lean and Six Sigma conference. The conference offered attendees ways to harness the benefits of these methods to identify improvements, gather and respond effectively to data and create an ongoing culture of excellence through quality. If you were unable to attend the conference you can purchase the recordings by clicking here.
Thank you again for attending the ASQ Lean and Six Sigma Conference 2021 last week. We have been informed that RUs for the Conference will not be automatically populated into attendees Recertification Journal. At this time attendees will need to manually enter the RU information in their own Recertification Journal. As a friendly reminder:
If you have further questions about your Recertification Journal you can contact firstname.lastname@example.org
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Making the Most of Data Mining and VisualizationIncreasing availability of data is a leading factor in the success of many organizational quality initiatives. Beyond the tools needed to collect reliable, data, there must be a reliable strategy to analyze and visually represent the data without bias that also prompts action. Sessions in this track explore how lean and Six Sigma methods can be used more extensively to gather, examine, and apply data for continuous improvement.
- Foundational statistical analysis concepts
- Decision trees and other advanced measurement methods
- Clustering, classification, regression, and association rule learning
- Ensuring data integrity and cyber security best practices
Lean and Six Sigma in a Continuous Improvement CultureCulture has an enormous impact on the enterprise-wide pursuit of continual improvement. By orienting a company’s lean and Six Sigma practices toward its people and giving them the opportunity to sustain change, quality professionals can push past process-level improvement and realize a broader, organizational impact. These presentations provide insight into infusing culture with lean and Six Sigma elements for a successful continuous improvement initiative.
- Leadership’s role in driving culture
- Strategies to gain staff input and participation
- How digitization enhances a continuous improvement initiative
- Sustaining a culture of continuous improvement
Using Lean and Six Sigma to Manage Quality as a ProjectCombining the techniques of project management with data and analysis benefits of lean and Six Sigma results in optimized performance, customer satisfaction and decision-making capabilities. Sessions in this area highlight how quality organizations can benefit from applying lean and Six Sigma methodologies to ensure greater reliability via an evidence-based approach in a variety of project management scenarios.
- Applying DMAIC to target customer needs and measure performance
- Using lean and Six Sigma to reduce operational risk
- Clarifying project objectives
- Avoiding common pitfalls of Six Sigma applications in project management
The Quality Trinity: Lean, Six Sigma, and Quality 4.0
Organizations are seeing rapid gains in access to data, computing power, and connectivity, and aligning the disruptive technologies of Quality 4.0 with problem-solving methodologies of lean and Six Sigma can further drive improvements in business intelligence, strategic initiatives, and product and service offerings. This area of focus gives insight into building an effective lean and Six Sigma framework to accommodate Quality 4.0 and allow for an enterprise’s data-driven transformation.
- Deep learning and neural networks for problem-solving enhancement
- Assessing your organization for AI readiness
- The Six Sigma-Big Data connection
- How predictive algorithms can improve automation
- The role of real-time data in process improvement