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B.De Finetti: La probabilità e la statistica nei rapporti con l´induzione, secondo i diversi punti di vista.- L.J. Savage: La probabilità soggettiva nei problemi pratici della statistica.- L. Daboni: Sulle catene di Markoff.- S. Lombardini: Decisioni economiche in condizioni di incertezza.- A. Longo: La R.O. (Ricerca Operativa).

Induction (Mathematics) -- Congresses. --- Mathematical statistics. --- Mathematical statistics -- Congresses. --- Statistics -- Periodicals. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Probabilities --- Induction (Mathematics) --- Mathematical induction --- Statistics. --- Operations research. --- Management science. --- Statistics, general. --- Operations Research, Management Science. --- Induction (Logic) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics . --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory

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In un mondo in continua evoluzione tecnologica è vitale seguire un metodo che aiuti a tenere sotto controllo l’adeguatezza del prodotto alle aspettative del mercato, alle esigenze del cliente e ai requisiti di legge, senza appesantire gli sviluppi o le produzioni e fornendo le adeguate garanzie. Lo scopo di questo testo è fornire al lettore una visione generale della qualità applicata al settore delle scienze della vita, facendo riferimento sia alla normativa in vigore per la progettazione di un sistema di gestione per la qualità, sia ai principali strumenti per la pianificazione delle attività, per l’organizzazione, elaborazione e analisi dei dati, secondo un metodo rigoroso e corretto. Approfondimenti tematici sono affidati a esperti di realtà di prestigio (MolMed, LaboRaf, Bayer Healthcare, Areta International) e integrati da esempi di applicazione nei laboratori diagnostici, nella ricerca scientifica e nella sperimentazione clinica, con particolare riferimento alla produzione di massa e di nicchia in asepsi. Il volume rappresenterà una guida preziosa per il manager, che intende porre particolare attenzione al ritorno degli investimenti in qualità un utile testo di riferimento per gli operatori del settore e i ricercatori un valido strumento di formazione per gli studenti dei corsi di laurea in Biotecnologie, Chimica e Tecnologia Farmaceutica, Farmacia, Biologia, Tecniche di Laboratorio Biomedico.

Biotechnology industries -- Quality control. --- Pharmaceutical industry -- Quality control. --- Pharmacy -- Research -- Management. --- Business & Economics --- Health & Biological Sciences --- Pharmacy, Therapeutics, & Pharmacology --- Industries --- Biotechnology industries --- Pharmaceutical industry --- Quality control. --- Medicine. --- Pharmacy. --- Laboratory medicine. --- Pharmaceutical technology. --- Health administration. --- Biomedicine. --- Pharmaceutical Sciences/Technology. --- Biomedicine general. --- Laboratory Medicine. --- Health Administration. --- Biomedical industries --- High technology industries --- Medical laboratories. --- Practice of medicine. --- Medical practice --- Practice of medicine --- Physician practice acquisitions --- Diagnosis, Laboratory --- Health facilities --- Laboratories --- Chemistry --- Medicine --- Drugs --- Materia medica --- Pharmacology --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Pharmaceutical laboratory techniques --- Pharmaceutical laboratory technology --- Technology, Pharmaceutical --- Technology --- Health Workforce --- Biomedicine, general. --- Clinical medicine --- Clinical pathology --- Diagnostic laboratory tests --- Laboratory diagnosis --- Laboratory medicine --- Medical laboratory diagnosis --- Diagnosis

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La proposta nasce dalla constatazione dell'importanza dell'approccio quantitativo a problemi di rilevanza quotidiana in molte realtà industriali. L'opera, oltre a proporre modelli di riferimento, vuole promuovere la comprensione degli stessi e degli approcci formali ad essi collegati attraverso costanti riferimenti a reali pratiche di pianificazione e gestione. Il panorama editoriale italiano non sembra offrire nell'ambito del business management un'opera avente questo stesso indirizzo. L'esperienza acquisita dagli autori nei rapporti professionali con diverse realtà industriali è alla base della qualità complessiva dell'opera. Gli obiettivi principali sono: presentare modelli di ottimizzazione tratti o ispirati da casi di studio concreti nell'ambito industriale, manifatturiero e logistico; illustrare alcuni dei principali approcci di modellazione matematica ai problemi di rilevanza industriale; costituire materiale didattico integrativo per corsi a livello universitario ed avanzato.

Business logistics. --- Production management. --- Commerce --- Management --- Business & Economics --- Local Commerce --- Management Theory --- Manufacturing management --- Supply chain management --- Business. --- Management science. --- Operations research. --- Decision making. --- Mathematical models. --- Mathematical optimization. --- Business and Management. --- Business and Management, general. --- Operation Research/Decision Theory. --- Operations Management. --- Optimization. --- Operations Research, Management Science. --- Mathematical Modeling and Industrial Mathematics. --- Industrial management --- Logistics --- Operations Research/Decision Theory. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Trade --- Economics --- Models, Mathematical --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Quantitative business analysis --- Statistical decision --- Decision making