Course Outline
Fostering a Culture of Process Thinking and Improvement
- Viewing processes as value delivery systems.
- Understanding the costs associated with poor quality and hidden process waste.
- Introducing the philosophy of continuous improvement and the Plan-Do-Check-Act cycle.
- Defining key roles in process improvement: champion, process owner, and team member.
Essentials of BPMN 2.0 for Process Mapping
- Core BPMN components: events, activities, gateways, and flows.
- Utilizing pools, lanes, and message flows to model cross-functional processes.
- Constructing current-state (as-is) process maps based on actual operations.
- Identifying common BPMN modeling errors and strategies to prevent them.
Foundations of Six Sigma and the DMAIC Framework
- The Six Sigma mindset: focusing on reducing variation and eliminating defects.
- An overview of DMAIC: Define, Measure, Analyze, Improve, and Control.
- Criteria for selecting the right project, scoping, and prioritization.
- Drafting the project charter and establishing measurable goals.
Define Phase: Clarifying the Problem and Process
- Converting business pain points into clear, defined problem statements.
- Applying Voice of the Customer (VOC) and Voice of the Business (VOB) techniques.
- Using SIPOC diagrams to define the boundaries of the process scope.
- Setting SMART objectives for improvement initiatives.
Measure Phase: Data Collection and Baseline Establishment
- Identifying key performance indicators: cycle time, lead time, error rates, and throughput.
- Planning data collection: determining what to measure, the methods used, and where data comes from.
- Establishing performance baselines using run charts and histograms.
- Conducting measurement system analysis to ensure data reliability.
Analyze Phase: Identifying Root Causes
- Performing process analysis through value stream mapping and bottleneck identification.
- Using root cause analysis tools such as the 5 Whys, fishbone diagrams, and Pareto analysis.
- Understanding basic statistical concepts: mean, standard deviation, and process capability.
- Validating root causes using data and evidence.
Process Analysis and Future-State Design via BPMN
- Analyzing as-is maps to identify redundancies, handoffs, and decision bottlenecks.
- Modeling the future-state (to-be) process with streamlined flows.
- Employing gateways and events to model exception handling and escalation paths.
- Aligning process redesign efforts with improvement recommendations derived from DMAIC.
Improve Phase: Developing and Implementing Solutions
- Generating improvement ideas through structured brainstorming sessions.
- Evaluating and prioritizing solutions using impact-effort matrices.
- Piloting changes by designing small-scale experiments and achieving quick wins.
- Managing process change: communicating, training, and rolling out improvements.
Control Phase: Maintaining Improvements
- Developing standard operating procedures (SOPs) from improved processes.
- Creating control plans to monitor critical metrics and set control limits.
- Building visual management dashboards for ongoing performance tracking.
- Establishing response plans for when metrics drift out of control.
Statistical Process Control and Advanced Monitoring
- Introduction to control charts, including X-bar, R-chart, and p-chart.
- Interpreting control chart signals and identifying special cause variation.
- Using Excel or simple tools to build and maintain control charts.
- Integrating statistical monitoring into daily management routines.
Process Automation and Technology Enablers
- Understanding how BPMN models connect to workflow automation and digital tools.
- Exploring low-code and no-code options for automating repetitive tasks.
- Integrating Six Sigma projects with ERP and inventory systems.
- Building a strong business case for technology investment.
Cultivating a Continuous Improvement Culture
- Embedding process review cycles into regular team rhythms.
- Training others and scaling process improvement efforts across departments.
- Knowledge management: maintaining process repositories and documenting lessons learned.
- Developing internal champions to sustain momentum after training.
Requirements
- A foundational understanding of business operations and daily workflows
- Familiarity with the organization’s internal processes and departmental roles
- No prior technical or statistical experience is necessary
Target Audience
- Staff from process departments and operations teams
- Team leaders and supervisors tasked with optimizing workflows
- Professionals looking for practical tools to challenge the status quo and drive ongoing improvement
Testimonials (4)
I finally understood the idea of the pipes and how to use R in our work context.
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a multitude of points
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knowledge of the trainer, tailor based, all topics covered
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The variation with exercise and showing.