AIMS AND CONTENT

LEARNING OUTCOMES

This course aims to provide students with the basic conceptual and methodological tools needed to tackle problems of analysis and synthesis related to the control of dynamic systems that characterize engineering plants and physical processes.

AIMS AND LEARNING OUTCOMES

The learning objectives of the course concern the acquisition of the ability to:

• know the characteristics of discrete production processes;
• define algorithms for discrete-event simulation;
• design and apply scheduling algorithms;
• define and optimize push and pull production systems.

TEACHING METHODS

The course is delivered through lectures covering its theoretical aspects, presenting the solution of numerical exercises and the use of selected software environments related to the course topics.

Students with valid certifications for Specific Learning Disorders (SLD), disabilities, or other educational needs are invited to contact the lecturer and the Disability Officer of the Polytechnic School at the beginning of the course, in order to agree on any teaching arrangements that, while respecting the course objectives, take individual learning needs into account.

SYLLABUS/CONTENT

• Models of an Information System for a Manufacturing Company
• Models of production processes
  • The decision-making/functional architecture of production processes
  • Representation of the production system
• Simulation or dynamic discrete-event models
  • The discrete-event simulation algorithm
  • An example: simulation of a manufacturing process modeled as an open queueing network
  • Generation of random inputs
  • Statistical analysis of the results of simulated experiments
  • Brief overview of languages and environments for discrete simulation
• Scheduling in production systems
  • Problem definition
  • Single-machine scheduling
  • Parallel-machine scheduling
  • Scheduling in flow-shop models
  • Scheduling in job-shop models
• MRP, MRPII and ERP systems
  • Definition and models: Make to Order, Make to Stock
  • Introduction to planning problems
  • Examples of inventory control
  • Examples of demand forecasting

TEACHERS AND EXAM BOARD

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam consists of a written test in which the student will be asked to cover theoretical content, solve numerical exercises, and delve into the conceptual elements necessary for solving the exercises.

ASSESSMENT METHODS

The exam aims to assess the following aspects of the student's preparation:

• knowledge of Markov processes and open/closed queue processes;
• ability to design and solve scheduling algorithms;
• ability to solve optimization problems for push and pull production systems.

The exam evaluation will take into account not only the student's knowledge of the course content but also their ability to reason and critically analyze, as well as their use of technical vocabulary appropriate to the context.