Îmbun ă t ă ţirea Şase Sigma şi managementul cunoaşterii, o abordare integrat ă cu aplicaţii în industrie

Research group Professor Lecturers Postdocs PhD students (3 international from EMMA programme) 6σ6σKM

Research Objectives 6σ6σKM Integrated Models Knowledge Capitalisation Developing Platforms for KM Application to Industrial Processes 4

Research group

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

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

Basics of Six Sigma QM

Requirements for Six Sigma Success CRITICAL KNOWLEDGE

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

Knowledge within DMAIC KNOWLEDGEKNOWLEDGE

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

CS1. Improving the process performance with DMAIC-KM methodology 11/6/201513

Application Procedure of DMAIC-KM methodology ULBSULBS TAKATA

Defining the Problem Sewing Reserve Variations in Airbag Perimeter Seam

Execution of Six Sigma projects ISO TOOLS CRITICALKNOWLEDGECRITICALKNOWLEDGE CRITICALKNOWLEDGECRITICALKNOWLEDGE

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

Sewing Reserve Process Capability Analysis InitialAfter improvement Cp=0.7213, Cpk= Cp=1.5957, Cpk=1.3882

Findings from Discussion and Semi structured Interviews

Company Recognition

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

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

Cs4. QSPS – Quality System for Production Software – integrarea in ciclul de viaţ ă al produselor

Metoda SCPS / QSPS Structura Sistem de bază: Metode şi principii clasice ale managementului calităţii şi de proiect, ale produselor software, metode de securitate şi management de risc Metoda ideală METODA CONCRETĂ Reguli, formulare, programe software Cerinţe: - ale managementului de proiect pentru software - tehnice - de calitate - orgaziţionale - de securitate - ale industriei de autovehicule 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)

SCPS/QSPS – Conţinutul metodei

Calitatea nu este niciodat ă un accident, ci este întotdeauna rezultatul unui efort inteligent -John Ruskin- Mulţumesc pentru atenţia acordat ă !