CODE 86795 ACADEMIC YEAR 2022/2023 CREDITS 9 cfu anno 1 COMPUTER ENGINEERING 11160 (LM-32) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 2° Semester TEACHING MATERIALS AULAWEB OVERVIEW The rapid evolution of technology in industrial automation systems requires closer integration between the devices in the shopfloor and the rest of the company. This integration requires intelligent devices for data collection and the ability to transform data into usable information. This course deals with providing tools and methodologies to achieve this integration, with particular reference to the automation of manufacturing industries. AIMS AND CONTENT LEARNING OUTCOMES The course aims at providing the modeling and methodological tools for the formalization and resolution of some important decision-making and management problems in the context of industrial systems. During the course, planning, scheduling and control problems will be formalized and solved according to the framework proposed by the ANSI/ISA-95 international standard. Special focus will be devoted to the primary and support functions given by the Manufacturing Execution System (MES). At the end of the course, the student will be able to position an industrial automation problem in the context of ANSI/ISA-95 and to formalize and to solve decision-making problems, using proper methods and tools. AIMS AND LEARNING OUTCOMES AIMS: make the student aware of the complex work done on the information related to a production process, starting from the control at shopfloor level, passing through the different functionalities of the manufactiring operation management (MES/MOM), to get to the final planning activities of an ERP. At the end of the course, the student will be aware of the different methodological and technological aspects of such information processes. PREREQUISITES No prerequisite TEACHING METHODS Lessons and exercises in different software environments (among which Matlab) SYLLABUS/CONTENT Introduction (4h + 2h): Introduction to the Course Architectural Models in Industrial Automation Manufacturing Methods: Batch production, Job Production, Flow Production Improvement Methods (Lean Manufacturing, Reliability-centered Maintenance, Zero Defects…) Information and Communication Standards (ISA-88, ISA-95, ERP, IEC 62264, B2MML …) Matlab Basic Exercise 1.1 Field Level and Direct Control (8h + 4h): Shopfloor Description and Examples SCADA, PLC, DCS Linear quadratic optimal control, Linear Quadratic Tracking, PID Matlab Exercise 2.1: Generate Ladder Logic Diagrams (https://www.plcfiddle.com/) Matlab Exercise 2.2: LQ control in discrete time system, tracking, and PID Manufacturing Execution Systems (24h + 12h): Definition and Models Who’s Who in MES MES Primary Functions: Planning System Interface; Work Orders; Work Stations; Inventory / Materials; Material Movement; Data Collection; Exception Management MES Support Functions: Maintenance; Time and Attendance; Statistical Process Control; Quality Assurance; Process Data; Documentation Management; Genealogy; Supplier Management. Scheduling methods Process control and quality control Matlab Exercise 3.1: Single Machine Scheduling: SPT, EDD Matlab Exercise 3.2: Single Machine Scheduling: Moore; Flow Shop Scheduling: Johnson Matlab Exercise 3.3: Job Shop Scheduling Matlab Exercise 3.4: Dynamic Programming for Scheduling Matlab Exercise 3.5: Stochastic Scheduling Matlab Exercise 3.6: Run and Trend Charts, Time Plots in Statistical Process Control. Scatter Diagrams and Control Charts in Statistical Process Control MRP, MRPII and ERP Systems (8h + 4h): Definition and Models (Make to Order, Make to Stock) Introduction to Basic Problems at Planning Level Exercise 4.1: Inventory Control Basic Example Exercise 4.2: Demand Prediction Basic Example Use Cases (6h): Definition of Use Cases by a MES/ERP developer Total: 72h Lectures: 44 hours; Hands-on: 28 hours RECOMMENDED READING/BIBLIOGRAPHY Lecture slides and recorded lessons. Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities. TEACHERS AND EXAM BOARD ROBERTO SACILE Ricevimento: Contacts: Prof. Roberto Sacile, PhD c/o DIBRIS – University of Genova Polytechnic School via Opera Pia 13 16145 Genova, Italy Mob. +393281003228 Skype live:roberto.sacile_1 H323 130.251.5.4 http://orcid.org/0000-0003-4086-8747 Scopus Author ID: 56250207700 Exam Board ROBERTO SACILE (President) ENRICO ZERO RICCARDO MINCIARDI (President Substitute) LESSONS LESSONS START https://courses.unige.it/11160/p/students-timetable Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Project and oral interview ASSESSMENT METHODS Interview Exam schedule Data appello Orario Luogo Degree type Note 18/01/2023 09:30 GENOVA Orale 03/02/2023 09:30 GENOVA Orale 08/06/2023 09:30 GENOVA Orale 22/06/2023 09:30 GENOVA Orale 17/07/2023 09:30 GENOVA Orale 04/09/2023 09:30 GENOVA Orale