This course provides the fundamental knowledge to plan an industrial manufacturing facility and perform the preliminary design of a production system, including the executionof a technical-economic feasibility study.
teacher profile teaching materials
Classification and quantification of industrial costs (fixed vs variable, investment vs operational, direct vs indirect, unit, average and marginal costs). Economic balance of a production system.
Linear programming method and application to optimal production mix definition.
Design steps of an industrial facility. Technical and economic feasibility study.
Profitability analysis of industial investments in both deterministic and probabilistic environment. Decision analysis about replacement and choice between alternative equipment.
Introduction to decision making techniques (single and multiobjective, decisions in deterministic unacertainty and risk conditions).
Method for location choice of industrial plants.
The decision about production capacity.
Methods for describing the product, the process and choice of process technology.
Sizing of production resources in both deterministic and probabilistic environment. Computation of resources capacity and utilization. Bottlenecks identification. Design of job shops, assembly lines and production cells. Little's law and performance measures of manufacturing systems. Performance limits of production systems (best case, worst case, practical worst case). Queueing theory and analysis of M/M/1, M/M/m, G/G/1, G/G/m queues. Queueing networks (Jackson networks and MVA analysis for closed networks). Lot sizing criteria. Sizing of maintenance resources. Sizing of machine servers.
Work design methods and standard times estimation (standard times, work sampling, stopwatch measurement).
Computation of space requirements and layout design methods.
Material handling systems: classification and resource sizing.
Project management techniques: activities planning and representation (work breackdown structure, Gantt diagrams, graphs). PERT and CPM techniques for project control. Management of project costs.
Programme
Classification of industrial plants and production systems. Link between strategy and operations.Classification and quantification of industrial costs (fixed vs variable, investment vs operational, direct vs indirect, unit, average and marginal costs). Economic balance of a production system.
Linear programming method and application to optimal production mix definition.
Design steps of an industrial facility. Technical and economic feasibility study.
Profitability analysis of industial investments in both deterministic and probabilistic environment. Decision analysis about replacement and choice between alternative equipment.
Introduction to decision making techniques (single and multiobjective, decisions in deterministic unacertainty and risk conditions).
Method for location choice of industrial plants.
The decision about production capacity.
Methods for describing the product, the process and choice of process technology.
Sizing of production resources in both deterministic and probabilistic environment. Computation of resources capacity and utilization. Bottlenecks identification. Design of job shops, assembly lines and production cells. Little's law and performance measures of manufacturing systems. Performance limits of production systems (best case, worst case, practical worst case). Queueing theory and analysis of M/M/1, M/M/m, G/G/1, G/G/m queues. Queueing networks (Jackson networks and MVA analysis for closed networks). Lot sizing criteria. Sizing of maintenance resources. Sizing of machine servers.
Work design methods and standard times estimation (standard times, work sampling, stopwatch measurement).
Computation of space requirements and layout design methods.
Material handling systems: classification and resource sizing.
Project management techniques: activities planning and representation (work breackdown structure, Gantt diagrams, graphs). PERT and CPM techniques for project control. Management of project costs.
Core Documentation
Lecture notes provided by instructor and uploaded on Moodle web site.Reference Bibliography
Reference textbooks. Not required for exam preparation. Pareschi A., Impianti industriali, Prog. Leonardo, Bologna Turco F. Principi generali di progettazione degli impianti industriali, Città Studi, MilanoType of delivery of the course
Traditional classroom lecture. In case the need arises, possibility of streaming remotely lectures through Microsoft Teams platform.Attendance
Attending classes is strongly suggested but is not compulsory. Lectures are in Italian.Type of evaluation
Oral examination (usually three questions on topics covering the entire course program) which can be accompanied by numerical exercises.