Get in Touch
 Duration 21 hours

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

Number of participants


Price per participant

Testimonials (4)

Upcoming Courses

Related Categories