Sistemi Integrati di Produzione (GEST)
INTEGRATED MANUFACTURING SYSTEMS Archimede Forcellese
Knowledge on fundamental aspects concerning the most common manufacturing processes, the machine tools, production planning and control, industrial logistic and automation is required.
KNOWLEDGE AND UNDERSTANDING:
The course intends to acquire advanced knowledge on the range of activities allowing the design and manage production systems used in the manufacturing industry. This knowledge, by integrating acquired notions in the courses of technologies and production systems, production planning and control, industrial plants and industrial logistics, will form the insights that will enrich knowledge on types and methods of designing and management of complex production systems, so that the student acquires a clear awareness of the wider multidisciplinary context of engineering, with a clear reference to the aspects strictly related with the technologies and production systems.CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
In order to address advanced project issues, even of considerable complexity, and treat the innovation and development of new products, technological processes and production systems through the application of knowledge, the student must acquire the ability to apply advanced tools for design and management of production systems. This capacity is expressed through a variety of vocational skills, such as: 1. the ability to choose the components and layout of the production system for the solution of the specific problem; 2. the ability to design production systems using advanced simulation tools; 3. the ability to integrate the different components constituting the production system.TRANSVERSAL SKILLS:
The resolution of individual and group exercises in classroom will help to improve both the learning skills autonomously and the degree of independent judgment, both the communication skills that also stems from teamwork.
INTRODUCTION. Manufacturing of discrete parts and production system, production typologies (job shop, batch, cellular and mass production), automation in production system (fixed, programmable and flexible automation), integration in manufacturing, automation principles and strategies, CIM, integrated design of product-process-manufacturing system.
DECISION MAKING. Decision making processes and environment, decision making attributes in production (time and productivity, cost, flexibility and quality).
NUMERICAL CONTROL. Components of numerical control system, reference system, positioning, types of numerical control, positioning and speed control,accuracy and repeteability, interpolation, computer numerical control, distributed numerical control, adaptive control, CNC programming.
APPLICATION OF COMPUTER NUMERICAL CONTROL. Machining center, turning center, mill-turining center, coordinate measurement machine, other applications.
INDUSTRIAL ROBOTS. Components, joints, serial and parallel robots, arm and wrist configurations, work volume, actuators, load capacity, dynamic performance characteristics, control systems, peripheral equipments, programming techniques, robotised cells, cell control, applications of industrial robots.
MATERIAL HANDLING. Material transport equipment, storage systems, material handling system design, characteristics and analysis of automated guided vehicles, characteristics and analysis of conveyor systems.
AUTOMATED PRODUCTION LINES. Fundamental aspects, analysis of single model and mixed model production lines, line balancing algorithms, production lines with buffer storages. Application cases.
GROUP TECHNOLOGY AND CELLULAR MANUFACTURING. Part families, visual inspection, part classifications and coding, production flow analysis, composite part and standard plan, cellular manufacturing, cellular layout, Hollier methods, performance measures. Application cases
FLEXIBLE MANUFACTURING SYSTEMS. Fundamental aspects, classification, components, flexibility criteria, applications and benefits, planning and implementation issues, design of FMS and performance measures (Bottleneck models). Application cases.
Development of the examination
LEARNING EVALUATION METHODS
The exam consists in written and oral tests. In the written one, the student must answer four questions chosen among the topics of the course. It will also be required to solve practical cases related to complex problems. The oral exam will prove the level of knowledge showed in the written test.
LEARNING EVALUATION CRITERIA
The student has to be able to autonomously deal with the application of the main models, metedologies and tools used in the analysis, design and management of integrated manufacturing systems. Aspects, such as the mastery of technical language and clarity of exposition, will also be assessed. Finally, the ability to properly use the acquired knowledge in solving complex problems must be proven.
LEARNING MEASUREMENT CRITERIA
The ability to independently deal with the topics of the course by applying the models, methods and tools in analysing, designing and managing the integrated manufacturing systems, the clarity of exposition, the mastery of technical language are evaulated.
FINAL MARK ALLOCATION CRITERIA
The final grade will be assigned considering the evaluation obtained in both tests. The minimum score, equal to eighteen points, will be achieved by the students who demonstrate sufficient capacity to answer to all the questions raised. The maximum grade, equal to thirty points with honors, will be given to students who have proven full mastery of the topics, exposed in full autonomy and with appropriate technical language.
M. P. Groover, Automation, Production Systems and Computer-Integrated Manufacturing, Prentice Hall, 2001. Slides of the lectures uploaded to the Moodle platform of the Polytechnic University of Marche.
- Ingegneria Gestionale (Corso di Laurea Magistrale Fuori Sede (DM 270/04))