Plan Szkolenia
Introduction to Process Thinking and Improvement Culture
- Understanding processes as value delivery systems.
- The cost of poor quality and hidden process waste.
- Introduction to continuous improvement philosophy and the Plan-Do-Check-Act cycle.
- Roles in process improvement: champion, process owner, and team member.
BPMN 2.0 Fundamentals for Process Mapping
- Core BPMN elements: events, activities, gateways, and flows.
- Pools, lanes, and message flows for cross-functional processes.
- Drawing the current-state (as-is) process map from real operations.
- Common BPMN modeling mistakes and how to avoid them.
Introduction to Six Sigma and the DMAIC Framework
- The Six Sigma mindset: reducing variation and eliminating defects.
- Overview of DMAIC: Define, Measure, Analyze, Improve, Control.
- Selecting the right project: criteria for scoping and prioritization.
- Building the project charter and setting measurable goals.
Define Phase: Framing the Problem and the Process
- Translating business pain points into defined problem statements.
- Voice of the Customer (VOC) and Voice of the Business (VOB) techniques.
- Creating SIPOC diagrams to bound the process scope.
- Setting SMART objectives for improvement initiatives.
Measure Phase: Gathering Data and Establishing Baselines
- Identifying key process metrics: cycle time, lead time, error rates, and throughput.
- Data collection planning: what to measure, how, and where.
- Baselining current performance with run charts and histograms.
- Measurement system analysis and ensuring data reliability.
Analyze Phase: Finding Root Causes
- Process analysis with value stream mapping and bottleneck identification.
- Root cause analysis tools: 5 Whys, fishbone diagrams, and Pareto analysis.
- Basic statistical concepts: mean, standard deviation, and process capability.
- Validating root causes with data and evidence.
Process Analysis and Future-State Design with BPMN
- Analyzing as-is maps for redundancies, handoffs, and decision bottlenecks.
- Modeling the future-state (to-be) process with streamlined flows.
- Using gateways and events to model exception handling and escalation.
- Aligning process redesign with improvement recommendations from DMAIC.
Improve Phase: Designing and Implementing Solutions
- Generating improvement ideas with structured brainstorming.
- Evaluating and prioritizing solutions using impact-effort matrices.
- Piloting changes: designing small-scale experiments and quick wins.
- Process change management: communicating, training, and rolling out improvements.
Control Phase: Sustaining the Gains
- Developing standard operating procedures (SOPs) from improved processes.
- Control plans: monitoring critical metrics and setting control limits.
- Creating visual management dashboards for ongoing tracking.
- Response plans for when metrics drift out of control.
Statistical Process Control and Advanced Monitoring
- Introduction to control charts: X-bar, R-chart, and p-chart.
- Interpreting control chart signals and 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
- Where BPMN models connect to workflow automation and digital tools.
- Low-code and no-code options for automating repetitive steps.
- Integrating Six Sigma projects with ERP and inventory systems.
- Building a business case for technology investment.
Building a Continuous Improvement Culture
- Embedding process review cycles into team rhythms.
- Training others and scaling process improvement across departments.
- Knowledge management: maintaining process repositories and lessons learned.
- Developing internal champions and sustaining momentum post-training.
Wymagania
- A basic understanding of business operations and daily workflows
- Familiarity with the organization's processes and departmental roles
- No prior technical or statistical background is required
Audience
- Process Department personnel and operations team members
- Team leaders and supervisors responsible for workflow optimization
- Professionals seeking practical tools to challenge the status quo and drive continuous improvement
Opinie uczestników (3)
zakres wiedzy trenera, dostosowany do potrzeb, wszystkie tematy omówione
eleni - EUAA
Szkolenie - Forecasting with R
Przetłumaczone przez sztuczną inteligencję
Wersja z ćwiczeniami i pokazem.
Ida Sjoberg - Swedish National Debt Office
Szkolenie - Econometrics: Eviews and Risk Simulator
Przetłumaczone przez sztuczną inteligencję
Rzeczywiste zastosowania przy użyciu Statcan i CER jako przykładów.
Matthew - Natural Resources Canada
Szkolenie - Data Analytics With R
Przetłumaczone przez sztuczną inteligencję
