Knowledge-of statistical-based methodologies to asses the quality and reliability of products and to improve the quality of products and processes; knowledge-of statistical-based methodologies for the introduction and evaluation of innovative products and processes (robust design, six sigma etc.). Ability to adapt production to functional specification of product and to evaluate their acceptance, especially in the phases of introduction of products / processes. Ability to provide statistical methodological support to specialists involved in the activities of R & D, and to coordinate the evaluation activities.

Knowledge of basic technologies Basic knowledge of probability and descriptive statistics

PRODUCTION PROCESS INNOVATION Operations and process management Process design 1- Positioning (volume/variety, layouts, technology, job designs) Process design 2- Analysis (process mapping, process tasks and capacity configuration, process variability). Manufacturing performance Static and dynamic methodology for diagnostic and improvements of manufacturing system: -Static methodologies (absolute benchmarking and value stream mapping,..) -Dynamic methodologies (descriptive analysis data, variability basics, queuing theory, Measures of Manufacturing performance). Discrete events simulation. Lean innovation - Push and pull production systems - Lean synchronization

PRODUCT PROCESS INNOVATION The module consists of lectures and practical exercises using excel and discrete event simulation sw.

Lecture notes in the course website will be provided. Reference textbooks (Product process Innovation): Factory Physics -Wallace J.Hopp, Mark L. Spearman – McGraw Hill International Edition. Operations and Process management , principles and practice for strategic impact – Slack, Brando-Jones, Johnston, Betts- Pearson Lean organization from the tools of Toyota Production System to Lean Office -Springer SW: FlexSim -Applied Simulation: Modeling and Analysis Using FlexSim Kindle Edition by Eamonn Lavery , Malcolm Beaverstock , Allen Greenwood , William Nordgren -Shanna Warr (Editor) -https://www.flexsim.com/ Other sw: Plant simulation -Plant Simulation 10 Step-by-Step Help – Siemens Steffen Bangsow " Manufacturing Simulation with Plan Simulation" and Sim Talk – Springer Useful link http://cast.massey.ac.nz/collection_public.html https://healthcare.flexsim.com/

Exam: Written test; Practical lab skills test;

The exam of the course 01SROMU consists of two parts: a first examination on "Product Process innovation" ("Innovation" hereafter) and a subsequent examination on "Ergonomics for manufacturing processes" ("Ergonomics" hereafter). To access the exam of “Ergonomics”, it is necessary to have passed (min. 18/30) the exam of "Innovation". The final score will be the mean of the marks of the “innovation” and "Ergonomics" exams. The students can keep the mark of “Innovation” only for one examination session. In case the student does not pass the exam of “Ergonomics” in the same session, she/he will have to repeat both exams in the next exam session. The exam of "Innovation" consists of: - The analysis and simulation of a manufacturing line using a discrete-event simulation software tool.( max evaluation 8) - The written test of Process innovation assesses the knowledge and skills acquired during the course through exercises and theoretical questions. (max evaluation 22) The final mark of the “Innovation” exam will be the sum of the mark in the lab test and written test; If the sum will be less than 18 the students will have to repeat both lab and written tests. During the exam the students are allowed to use the course reference books. The exam of "Ergonomics" consists in an oral colloquium lasting around 30-45 minutes. The questions, on average of three, will aim at ascertaining the understanding of the basic ergonomic principles applied to the design and management of human-centered work systems and the ability to identify and use the appropriate methodologies for the integration of ergonomics in the planning and control of work cycles. A first oral question will deal specifically with the computation of the risk index in a case study, of a type similar to that of the examples discussed in class during the tutorials, and will require the development of calculations by the student. The evaluation of the oral colloquium takes into account the ability to identify the appropriate methodologies to solve the problems posed and to apply the tools illustrated in the course.

In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.