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Presentation
Presentation
This course provides students with a rigorous and practice¿oriented introduction to process improvement, operational excellence, and data¿driven decision¿making. Combining Lean principles for waste reduction with Six Sigma tools for variation control, the course equips participants to diagnose operational problems, map value streams, apply statistical analysis, and design sustainable improvement solutions aligned with organizational performance goals. Through real cases, simulations, and hands¿on exercises, learners develop the competencies needed to lead continuous¿improvement initiatives in diverse sectors
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
| Anual | 3
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT6813-25419
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
*Daily Kaizen *Lean, Six Sigma, and Theory of Constraints (TLS) *DMAIC methodology *Design for Lean Six Sigma *Shingo Model + KBS (Kaizen Business System)
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Objectives
Objectives
The course "Lean Management & Six Sigma Methodologies" enables students to understand, apply, and integrate the core principles, tools, and problem¿solving approaches of Lean and Six Sigma to improve operational performance. Learners will develop the ability to map and analyze processes, identify waste and sources of variation, use data¿driven methods to diagnose root causes, and design sustainable improvement solutions. By the end of the course, students will be able to lead structured continuous¿improvement initiatives and contribute to higher efficiency, quality, and organizational excellence across different sectors.
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Teaching methodologies
Teaching methodologies
Online course with the presentation, description, and discussion of real case studies.
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References
References
1. George, M. L., Rowlands, D., Price, M., & Maxey, J. (2005). The Lean Six Sigma Pocket Toolbook: A Quick Reference Guide to Nearly 100 Tools for Improving Quality and Speed. McGraw¿Hill. 2. Montgomery, D. C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley.
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Assessment
Assessment
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Trabalho individual
dd-mm-yyyy
50%
Trabalho de grupo
dd-mm-yyyy
50%
(...)
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
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Mobility
Mobility
No
