Ing Ind - Inf (Mag.)(ord. 270) - MI (498) FOOD ENGINEERING
055782 - ANALYTICS FOR FOOD INDUSTRY
The course aims at offering an encompassing toolbox, useful to address and solve a large number of problems that Engineers typically face in an Industrial Engineering context, with particular reference to the agri-food industry and supply chain.
Risultati di apprendimento attesi
Through the study of tools and techniques for quality improvement, cost reduction, process optimization, problem solving, we aim at building the foundations for a powerful analytical mindset relevant useful to reach effective decision making in the food industry, with particular reference to problem solving, innovation and continuous improvement.
In particular, through a number of “monographic” problems, students will have the opportunity to develop and strengthen some skills, typically considered as “must-have” for a good consultant in area Operations Management / Operations Improvement, such as:
first and foremost, knowledge of a number of general-purpose problem solving tools, to carry with them as a “tool-box” or a “Swiss Army knife” and to use in each and every occasion, and consequent smart adoption of said toolbox;
ability to understand the market requirements, the needs of (specific clusters of) customers, and to understand the feedbacks of the customers on the current product / product performances;
understanding of the key factors – be they design decision of a product, or critical parameters of a process – and their impact on the expected outcome (e.g. product quality; customer satisfaction; …);
ability to make decisions, selecting the most promising course of action through multi-criteria decision making, and clearly presenting the outcome of their reasoning, in a clear and formally correct way;
The correct application of the analysed tools in practical contexts will also develop the participants ability to rapidly understand a problem and to gather data, sifting useless or redundant ones, making simplifying assumptions and focusing on relevant information.
I - Course introduction: goals, modus operandi, exam rules.
II - General purpose tools for Problem finding / setting / solving
(Non Financial) Performance Management Systems (PMSs)
How to build a PMS
Causal maps connecting indicators
Devil’s in the details: developing the “right” Key Performance Indicators (KPIs), able to measure what one wants to measure
Process Mapping, analysis of Non-Value-Added activities and inefficiency costs assessment
Inefficiency costs assessment: Cost of Poor Quality
Root Causes Analysis (RCA)
The concept of Root Cause, the 5-whys techniques
Solutions selection and prioritization
Pick-Chart to create a roadmap for improvement actions selection and prioritization.
Multi-criteria decision methods, Analytical Hierarchical Process (AHP)
The case of the Broken Biscuit - assessing the cost of nonconformance in a process with waste
Campari and the dilemma of albumin precipitation, filtering and impurities in my bitter.
Eng. Regina and the mystery of the saltless mushroom soup
III - Voice of the Customer Techniques
Listening to the Voice of the Customer
Basic concepts: Customer needs vs expectations; Critical to Quality; Kano model; …
Perception is reality. Measuring Customer Satisfaction
Clustering customers and M.Gladwell Ted Talk
Surveys, focus groups, panels, …
Net Promoter Score
Cereal for Breakfast – designing a cereal box that will get you $$$
The “mytical” Algida season poster – anatomy of a masterpiece of menu engineering
IV - Improving product design / industrialization / production
Quality Function Deployment
The “Vital Few Trivial Many” Pareto law and Pareto diagram
Defining a Pareto Priority Index (PPI)
A-B-C classification and cross-ABC analysis
Design of Experiment
Design of Experiment
Experiments conduction (either through real physical experiments or simulation by means of random number generation through MS-Excel)
Analysis of results: Analysis of Variance (ANOVA) techniques
Measurement System Analysis (compendious)
Pareto Sustengo (to be redesigned around a real corporate case)
Amazing food deliveries (or another application
Economic cut – how many packaging foil sizes are enough?
Deming funnel experiment – parameter setting and tampering with the process
As a prerequisite, candidates should have an analytical mindset.
Knowledge of statistics foundations - in particular how to handle random variables / probability distributions - is required. In particular knowledge of the Normal Distribution and its application, and very confident use of the Normal Disiribution table (density and cumulative).
Modalità di valutazione
Two groupworks (on cases or assignments addressed during the semester): 40%
Final written exam (numerical exercises, open book): 60%
Thomas Pyzdek, the Six Sigma Handbook, fourth edition, Editore: McGraw-Hill Education, Anno edizione: 2014, ISBN: 978-0071840538 Note:
Other editions of the same book are still valid. The handbook contains the explanation of most of the quantitative tools studied during the course
Michel Brassard, The Memory Jogger: a pocket guide of tools for continuous improvement, Editore: Goal/qpc, ISBN: 978-1879364035 Note:
Other handbooks of the same collection are a very interesting alternative:
The Memory Jogger 2: Tools for Continuous Improvement and Effective Planning
The Black Belt Memory Jogger
The Lean Six Sigma Deployment Memory Jogger
Thomas L. Saaty, Decision making with the analytic hierarchy program / International Journal of Services Sciences, Anno edizione: 2008 https://doi.org/10.1504/IJSSci.2008.01759Paul E. Green, V. Srinivasan, Conjoint Analysis in Consumer Research: Issues and Outlook, Journal of Consumer Research, Anno edizione: 1978, Fascicolo: Issue Cover Volume 5 Issue 2 September 1978 https://doi.org/10.1086/208721
Tipo Forma Didattica
Ore di attività svolte in aula
Ore di studio autonome
Laboratorio Di Progetto
Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese