This five-day course strengthens practical expertise in statistical process control and quality improvement, helping participants address inconsistent processes, quality failures, resource constraints and gaps in operational accountability. The programme combines relevant management principles with tools for diagnosing workplace problems, improving controls and monitoring results. Participants use realistic cases to evaluate processes, interpret evidence and recommend workable improvements. An applied final exercise connects the course methods with organisational priorities and supports a structured action plan for sustained operational performance.
Learning Methodology
- Analyse a sector-specific case involving variation and process stability.
- Complete guided exercises on data collection and distribution analysis.
- Collaborate in a simulation covering control charts and interpretation.
- Use practical worksheets for process capability and response plans.
- Receive instructor feedback on the spc monitoring case exercise.
Learning Outcomes
By the end of this course, participants will be able to:
- Explain and evaluate variation and process stability.
- Apply relevant methods to data collection and distribution analysis.
- Analyse operational evidence relating to control charts and interpretation.
- Develop appropriate procedures for process capability and response plans.
- Prepare an actionable proposal through the spc monitoring case exercise.
Delivery Format
- Duration: 5 Days (In-person or Live Virtual)
- Locations: Nairobi, Kigali, Addis Ababa, Dubai, Johannesburg, Accra
- Format: Trainer-led workshops, practical exercises and course-specific learning tools
- Certification: Certificate of Completion issued by Alverton Global Consultancy
Course Features
- Lectures 20
- Quiz 0
- Duration 5 days
- Skill level All levels
- Students 25
- Certificate No
- Assessments Yes
- 5 Sections
- 20 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1: Variation and process stability4 Items
- Day 2: Data collection and distribution analysis4 Items
- 2.1Core concepts and requirements for Data collection and distribution analysis (Copy)
- 2.2Methods and tools for Data collection and distribution analysis (Copy)
- 2.3Applied case study: Data collection and distribution analysis (Copy)
- 2.4Review, decisions and practical actions for Data collection and distribution analysis (Copy)
- Day 3: Control charts and interpretation4 Items
- Day 4: Process capability and response plans4 Items
- 4.1Core concepts and requirements for Process capability and response plans (Copy)
- 4.2Methods and tools for Process capability and response plans (Copy)
- 4.3Applied case study: Process capability and response plans (Copy)
- 4.4Review, decisions and practical actions for Process capability and response plans (Copy)
- Day 5: SPC monitoring case exercise4 Items
No formal certification is required; familiarity with operational processes is useful.
Yes. Participants complete applied exercises and a workplace-based case.
No. Alverton Global Consultancy issues a Certificate of Completion; no external accreditation is implied.
Yes. Exercises can be adapted to sector-specific processes and challenges.
Participants can use the methods and templates to evaluate and improve relevant workplace processes.
Requirements
- Basic knowledge of organisational operations or service delivery.
- Experience in a relevant workplace role is helpful but not essential.
- Access to a laptop and spreadsheet software for practical exercises.
Features
- Sector-relevant applications of variation and process stability.
- Reusable tools for data collection and distribution analysis.
- Structured exercises on control charts and interpretation.
- Operational controls for process capability and response plans.
- Practical improvement outputs from spc monitoring case exercise.
Target audiences
- Operations and production managers
- Quality assurance and quality control professionals
- Process improvement and continuous improvement officers
- Service delivery and programme coordinators
- Supervisors responsible for operational performance
