B001370 - INDUSTRIAL PLANTS

Italian

1 INDUSTRIAL PLANTS
2 PRODUCTION SYSTEMS
3 DEMAND FORECAST
4 COSTS AND BUSINESS PROFITS OF PLANTS
5 RELIABILITY AND MAINTAINABILITY
6 PRODUCTION OPTIMIZATION
7 LOCATION OF INDUSTRIAL PLANTS
8 PLANT LAYOUT
9 THE EFFICIENCY OF PRODUCTION PLANTS
10 LINE BALANCING
11 PROJECT MANAGEMENT
12 STOCKS MANAGEMENT
13 WAREHOUSE MANAGEMENT

Impianti industriali:
conoscere e progettare i sistemi produttivi - seconda edizione
di Filippo De Carlo

ISBN: 978-1-4466-2421-0
http://goo.gl/9KGuv

The course aims at providing the students with the basic knowledge, required to outset a correct analysis and design of production systems.

The knowledge provided is:
Knowledge and understanding of production facilities and processes. Understanding the advantages and limitations of process and plant design choices in different application contexts (cc6).
Knowledge and understanding of current issues regarding the organization and management of production factors and of the principles of company management and quantitative methodologies for the analysis of profitability of an economic activity, models for defining its organizational project, for strategic analysis and determination of the business plan (cc7).
Knowledge and understanding of the wider multidisciplinary context of engineering with a particular focus on problem solving, which starts from the problem to identify causes and possible measures (typically multidisciplinary) to tackle them (cc8).
Knowledge and understanding of applicable engineering techniques and methods (and their limitations) in non-technical fields (cc10).

Application capabilities are:
Applying knowledge and understanding problems related to the choice and subsequent use of appropriate tools and methods - such as software tools for three-dimensional modeling, simulation (structural and fluid dynamics) and management of technical information – for the design and production of components and machines (ca7).
Applying knowledge and understanding problems related to multidisciplinary engineering, taking into account the constraints also of a non-technical nature, and working in collaboration with other engineers or other professional skills typically present in manufacturing companies (ca8).

Knowledge of calculus, statistics, mechanical technology, English language

Classroom Lectures, study of the textbook

Educational material on:
http://e-l.unifi.it

The student's assessment is based on an examination test which consists of performing a written assignment. Seven exam sessions are scheduled during the academic year.
The task consists of 10 questions covering the entire programme. The questions are of three types: simple theoretical questions (with relative weight of 1), theoretical questions of average difficulty (with relative weight of 2), articulated exercises (with relative weight of 3). For each section of the reference book (except for the introductory chapter) there is one question. The questions are different for each exam session and are different for each assignment within the same session. The sequential order of the questions is also casualized, to make each job unique.
In order to pass the exam with the minimum score, students must have acquired a good knowledge of the subject as a whole and must be able to model an industrial engineering problem (cc6, cc7, cc8, cc10). . In order to obtain a high mark, knowledge is required to be very good and comprehensive in all subjects covered. In order to have the highest grade with honors, the student must combine previous knowledge with outstanding ability to manage the time factor, producing an excellent result in a short time (ca7, ca8).

1 INDUSTRIAL PLANTS
1.1 The industrial plant and a company
1.2 The design of industrial plants
1.3 The industrial plants
2 PRODUCTION SYSTEMS
2.1 System Modeling
2.2 Classification of assets
2.3 Classification of the plants
2.4 Classification by technology diagram
2.7 Classification of production for stock
2.8 Classification in accordance with the legal
2.9 Classification according to the volume and variety
2.10 Classification of manufacturing and assembly
2.11 Representation of the production system
2.12 Organizational Performance
2.13 The changes in production systems
3 DEMAND FORECASTING
3.1 Types of demand forecasting
3.2 Techniques of qualitative forecasting
3.3 The measure of the errors
3.4 The analysis of Demand
3.5 Multiperiodic autoregressive forecasting methods
3.6 Aperiodic autoregressive forecasting methods
3.7 Regressive forecasting
4 COSTS AND PROFITS OF PLANTS
4.1 General Accounting and cost accounting
4.2 The industrial costs
4.3 Classification of costs
4.4 Evaluation of investments
4.5 The profitability diagram
4.6 Analysis of the total cost per unit
5 RELIABILITY AND MAINTAINABILITY
5.1 Elements of probability
5.2 Models of reliability
5.3 Probability of component operation and system
5.4 Random Variables
5.5 Fleet reliability
5.6 Time-dependent models of reliability
5.7 Devices with constant failure rat
5.8 Weibull Distribution
5.9 Modelling of repairable systems
5.10 Models of Repairable Systems
6 THE OPTIMIZATION OF PRODUCTION
6.1 Production factors optimization
6.2 Optimization with the Simplex Method 175
7 THE LOCATION OF INDUSTRIAL PLANTS
7.1 General criteria for the siting of industrial plants
7.2 Fundamental Factors ubicazionali
7.3 Choice of land
7.4 Methods of ubicational assessment
8 THE PLANT LAYOUT
8.1 The study of the layout
8.2 The Systematic Layout Planning
8.3 Setting up fixed locations
8.4 Process configuration (job-shop)
8.5 Product configuration (line)
8.6 Configuration with production cells
8.7 Critical production volume
8.9 Study of the layout of a line
8.10 Study of the layout of departments
8.11 Multi model line design
8.12 The relationship between activities
8.13 The Computerized Layout Planning
8.14 Building algorithms
8.15 CORELAP
8.16 ALDEP
8.17 Evaluation of Layout
8.18 Improvement algorithms
8.19 CRAFT
9 The efficiency of the plants
9.1 The productivity
9.2 The potential production - P
9.3 The lead time - TA
9.4 The mix potential - Pmix
9.5 The production capacity - CP
9.6 Qualification of a productive system
9.7 The Overall Equipment Effectiveness - OEE
9.8 Calculation of capacity
9.9 The Work in Process - WIP
9.10 Little's law
9.11 Operational logistics curve
9.12 Best Case performace
9.13 Worst case performance
9.14 Case of maximum randomness
9.15 Unbalanced multimachine plant
9.16 System bound by labor
10 LINE BALANCING
10.1 Design of process equipment
10.2 Dimensions of the single-product bottleneck
10.3 Dimensions of the multiproduct bottleneck
10.4 Determination of the number of machines
10.5 Rate of saturation
10.6 Design of a job-shop
10.7 Design of a line
10.8 Saturation of the stations and of the line
10.9 Allocation of activities 324
10.10 Kottas-Lau cost method
11 PROJECT MANAGEMENT
11.1 The project management
11.2 Tools for planning and monitoring projects
11.3 The Gantt chart
11.4 The critical path method, CPM
11.5 The probabilistic PERT
11.6 The costs PERT
12 Stocks management
13 Warehouse management