Theory and Practice of Key Performance Indicators, Springer
Libro adottato a Politecnico di Torino, a.a. 2026/2027 · 5 canali
«Theory and Practice of Key Performance Indicators, Springer» è adottato per Quality Engineering dal prof. Domenico Augusto Francesco Maisano (Ingegneria Gestionale, Ingegneria Meccanica – Politecnico di Torino); per Quality Engineering dal prof. Luca Mastrogiacomo (Ingegneria Gestionale, Ingegneria Meccanica – Politecnico di Torino); per Quality Management Systems dal prof. Domenico Augusto Francesco Maisano (Ingegneria della Produzione Industriale – Politecnico di Torino).
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Come lo indica il docente: Theory and Practice of Key Performance Indicators, Springer International Publishing, Cham, Switzerland, 2019
Argomenti del programma: 1. Preliminary concepts (5 h) The meaning of Quality. Quality Terminology. An historic overview of Quality Methodology. Quality in design and production. 2. Quality in Design (20 h) Quality and Innovation. Quality Function Deployment. Customer Requirements, Technical Characteristics and Relationship Matrix. The prioritization of Technical Characteristics. Competition Driven Design: Qbench algorithm. Quality costs.
Argomenti del programma: 1. Preliminary concepts (5 h) The meaning of Quality. Quality Terminology. An historic overview of Quality Methodology. Quality in design and production. 2. Quality in Design (20 h) Quality and Innovation. Quality Function Deployment. Customer Requirements, Technical Characteristics and Relationship Matrix. The prioritization of Technical Characteristics. Competition Driven Design: Qbench algorithm. Quality costs.
Argomenti del programma: 1. Preliminary concepts (5 h) The meaning of Quality. Quality Terminology. An historic overview of Quality Methodology. Quality in design and production. 2. Quality in Design (20 h) Quality and Innovation. Quality Function Deployment. Customer Requirements, Technical Characteristics and Relationship Matrix. The prioritization of Technical Characteristics. Competition Driven Design: Qbench algorithm. Quality costs.
Argomenti del programma: 1. Preliminary concepts (5 h) The meaning of Quality. Quality Terminology. An historic overview of Quality Methodology. Quality in design and production. 2. Quality in Design (20 h) Quality and Innovation. Quality Function Deployment. Customer Requirements, Technical Characteristics and Relationship Matrix. The prioritization of Technical Characteristics. Competition Driven Design: Qbench algorithm. Quality costs.
Theory and Practice of Key Performance Indicators, Springerquesto libroCerca su Amazon ›Verificato sulla scheda ufficiale il 02/10/2026
Bacheca del docente: cosa indica di studiare
Argomenti del programma: 1. Preliminary concepts Terms and definitions. Introduction of Quality Management techniques in industry. The importance of Quality in design and production. Basic notions on Statistics. 2. Quality in design Offered, expected and perceived Quality. Quality Function Deployment (QFD). Customer Requirements, Technical Characteristics and Relationship Matrix. Prioritization of the Technical Characteristics.
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