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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.

Yêu cầu

  • 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
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