Università degli Studi di Perugia

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Course name Mechanical engineering
Study-unit Code 70367306
Curriculum Comune a tutti i curricula
Lecturer Stefano Antonio Saetta
  • Stefano Antonio Saetta - Didattica Ufficiale
  • 54 Hours - Didattica Ufficiale - Stefano Antonio Saetta
Course Regulation Coorte 2017
Supplied 2019/20
Supplied other course regulation
Learning activities Caratterizzante
Area Ingegneria gestionale
Sector ING-IND/17
Type of study-unit Obbligatorio (Required)
Type of learning activities Attività formativa monodisciplinare
Language of instruction Italian
Contents Feasibility study of an Industrial plant
Location models for facilities plannings
Layout planning procedures
Reference texts Adopted:
A. Pareschi, Impianti Industriali. Criteri di scelta, progettazione e realizzazione - Seconda Edizione 2007 - Progetto Leonardo - Bologna.
A. Pareschi, Impianti Industriali. Criteri di scelta, progettazione e realizzazione, 2007
Sunerdesh Heragu, Facility Planning, 2016
S. Chopra, P. Meindle, Supply Chain Management, Pearson, Prentice Hall.
Educational objectives The course objective is to provide basic knowledge to perform the feasibility study of an industrial plant, to determine the optimal location, to design the plant layout, to determine the machineries and manpower required.
The main knowledge gained will be:
definitions and classifications of production processes and production systems
theoretical knowledge related to the procedure of the feasibility study of an industrial plant
theoretical knowledge of demand analysis through extrapolation methods, correlation and surveys.
definition and classification of different types of lay-outs
theoretical knowledge related to factors influencing the optimal plant location and quantitative / qualitative location methods
The main skills gained wil bee:
Using forecasting techniques to estimate market demand
Ability to perform the technical and economic feasibility study of the plant and to determine the optimal production quantities
Ability to determine the optimal lay-out with respect to the quantity and variety of products
Ability to determine the optimal number of machines in job-shops, cells and line configurations.
Ability to determine the manpower required in job-shops, cells and line configurations.
Ability to determine the optimal number of shifts of a plant.
Ability to find the optimum location of a plant in terms of minimization of transport costs
Prerequisites In order to understand and to know how to apply most of the techniques described in the course is essential the knowledge of the following topics:
- Basic concepts of statistics, mathematics, linear algebra
- Basic concepts of financial mathematics for investment alternatives comparison.
It is therefore recommended to have successfully taken an examination of Engineering Economy
Teaching methods The course is organized as follows:
- Theoretical lessons on all topics of the program
- Classroom exercises consisiting in solving practical problems
The exercises are held during class time, and immediately follow the theoretical lesson to which they refer
Other information attendance is not compulsory but strongly adviced
Learning verification modality The exam consists of a written exam and an oral exam.
The written exam consists in an exercise in which the student has to solve a problem that is usually faced in the design phase of a plant, such as: demand forecasting, plant location, optimal mix of products, line balancing, determination the number of machines and manpower needed, determination of the optimal number of shifts. The exercise aim is to determine the ability to correctly apply the theoretical knowledge, the understanding of the issues proposed, and the concentration ability needed to perform correctly the calculation needed to solve the problem. The test duration is approximately 1h 30m
The oral exam consists of 3 questions designed to ascertain the level of knowledge and understanding of the issues on theoretical and methodological aspects of the program. The duration of the test is about 30 min.
Extended program Didactic unit: Contents and purposes
- Industrial plants: Definitions
- Final products: classification
- Classification of production plants
- auxiliary and service facilities
- types of production
- Industrial plants design and construction
- Historical notes about industrial development

Didactic unit: Feasibility study of an Industrial plant
- Market research and product analysis
- Market and financial Risks
- Covering procedures against risks
- Demand analysis and forecasting: statistical surveys, correlation, Time series static methods (demand deseasonalization), Auto-adaptive methods - Moving averages, simple exponential smoothing, Holt's Model, Winter's model
- Product design process
- Process planning: selection and sequencing of manufacturing processes
- Facilities systems definition
- Economic evaluation of industrial investments profitability and selection of the optimal production level of manufacturing plants: Selecting the optimal production level for a single-product plant - Determination of the optimal products mix through linear programming - Production costs: analisys and classification - Profitability evaluation criteria

Didactic unit: Location models for facilities plannings
- Key factors and location models: Qualitative judgement method- costs based methods - minimizing transportation costs: the rectangular distances model

Didactic unit: Layout planning procedures
- P-Q analysis
- material flow
- operation process chart
- material flow unit
- multi-product process chart
- Selecting and grouping products
- From-to-chart
- Group Technology
- relationships between service activities
- Relationships chart
- Combined relationships chart
- Diagram of material flow/activities relationships
- Space requirements
- Determining the number of machines: job-shops production - flow-line production
- From job-shops to flow line production (the product function)
- Determining the number of workers for assembly operations: job-shops, flow-line, Kottas-Lau's method for assembly line balancing
- Determining the optimal number of automatic machine for each worker
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