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Prof. univ. dr. Claudiu Vasile Kifor , Facultatea de Inginerie

Îmbunătăţirea Şase Sigma şi managementul cunoaşterii, o abordare integrată cu aplicaţii în industrie. Prof. univ. dr. Claudiu Vasile Kifor , Facultatea de Inginerie Universitatea Lucian Blaga din Sibiu. Research group. Professor Lecturers Postdocs

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Prof. univ. dr. Claudiu Vasile Kifor , Facultatea de Inginerie

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  1. Îmbunătăţirea Şase Sigma şi managementul cunoaşterii, o abordare integrată cu aplicaţii în industrie Prof. univ. dr. ClaudiuVasileKifor, Facultatea de Inginerie Universitatea Lucian Blaga din Sibiu

  2. Research group • Professor • Lecturers • Postdocs • PhD students (3 international from EMMA programme) 6σ KM

  3. Research Objectives Integrated Models 6σ KM Knowledge Capitalisation Developing Platforms for KM Application to Industrial Processes

  4. Research group

  5. Presentation Outline • Problem Statement • Literature Review on - Six Sigma Quality Management - Knowledge and Knowledge Management - State of the Art in integrating KM and Six sigma • DMAIC-KM Model for Six Sigma Quality Management • Case studies: Six sigma projects

  6. Sweet Fruit Design for Manufacturability ProcessEntitlement Bulk of Fruit Process Characterization and Optimization Low Hanging Fruit Seven Basic Tools Ground Fruit Logic and Intuition Problem Statement

  7. Basics of Six Sigma QM

  8. Requirements for Six Sigma Success CRITICAL KNOWLEDGE

  9. Identification of Scopes/Gaps DMAIC Methodology with gate review (Stevens, 2006)

  10. Knowledge within DMAIC K N O W L E D G E

  11. Proposed DMAIC-KM model Developed by Baral and Kifor, 2013

  12. CS1. Improving the process performance with DMAIC-KM methodology

  13. Application Procedure of DMAIC-KM methodology U L B S TAKATA

  14. Defining the Problem Sewing Reserve Variations in Airbag Perimeter Seam

  15. Execution of Six Sigma projects C R I T I C A L K N O W L E D G E ISO TOOLS

  16. Project Performances Evaluation • Quantitative analysis (Process capability ,Cp and Cpk analysis, Questionnaire Feed Back Analysis) • Qualitative analysis (Impact analysis through participant’s perception)

  17. Sewing ReserveProcess Capability Analysis Cp=1.5957, Cpk=1.3882 Cp=0.7213, Cpk= 0.4039 Initial After improvement

  18. Findings from Discussion and Semi structured Interviews

  19. Company Recognition

  20. CS2. Six sigma projectEliminating the holes from knitted grey fabrics Project Plan Preparation Considering: • Problem Solving steps • DMAIC Phases • Tasks and • Tools

  21. CS3. Lean implementation model: proposal of dynamic model Key performance indicators in automotive

  22. Cs4. QSPS – Quality System for Production Software –integrarea in ciclul de viaţă al produselor

  23. Sistem de bază: Metode şi principii clasice ale managementului calităţii şi de proiect, ale produselor software, metode de securitate şi management de risc Criterii: • îmbunătăţirea comunicaţiei • economie de resurse, • transparenţă în stadiul proiectului • asigurarea calităţii • controlul proiectului • asigurarea finalizării proiectului Caracteristici • aprobarea metodei- standardizarea metodei • fiabilitatea metodei • adaptabilitatea metodei • utilitatea metodei • eficienţa metodei (timp şi dificultate în aplicare) Cerinţe: • ale managementului deproiect pentru software • tehnice • de calitate • orgaziţionale • de securitate • ale industriei de autovehicule METODA CONCRETĂ Reguli , formulare, programe software Metoda ideală Metoda SCPS/QSPS Structura

  24. SCPS/QSPS – Conţinutul metodei

  25. Calitatea nu este niciodată un accident, ci este întotdeauna rezultatul unui efort inteligent • John Ruskin- • Mulţumesc pentru atenţia acordată !

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