Unit

Course
Industrial engineering
Study-unit Code
A001726
Curriculum
In all curricula
CFU
12
Course Regulation
Coorte 2023
Offered
2023/24
Type of study-unit
Obbligatorio (Required)
Type of learning activities
Attività formativa integrata

PRODUCTION MANAGEMENT

Code A001727
CFU 6
Teacher Lorenzo Tiacci
Teachers
  • Lorenzo Tiacci
Hours
  • 48 ore - Lorenzo Tiacci
Learning activities Caratterizzante
Area Ingegneria meccanica
Academic discipline ING-IND/17
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Introduction to production systems
Basic concepts for the management of production systems
Managing items with stationary and independent demand
Managing items with dependent demand
Reference texts ADOPTED:
Tiacci, L., "Gestione delle Scorte - Modelli matematici e loro applicazione - 2A EDIZIONE", Lulu, 2021. (acquistabile al link: http://www.lulu.com/spotlight/LorenzoTiacci)
Sianesi, A., "La Gestione del Sistema di Produzione", ETAS, 2011.
SUGGESTED:
Nahmias, S., "Production and Operations Analysis" - Sixth Ed. - McGrawHill, 2013
Silver, E.A., Pyke, D.F., Thoms, D.J., "Inventory and Production Management in Supply Chains" - Fourth Ed. - CRC Press 2017.
Silver, E.A., Pyke, D.F., Peterson, R., "Inventory Management and Production Planning and Scheduling" - Third Ed. - WILEY 1998.
Schiraldi, M., "La gestione delle scorte", Esselibri, 2007.
Chopra, S. , Meindl, P., "Supply Chain Management", Pearson, 2007.
Educational objectives The course objective is to provide basic knowledge for the management of a production system as a whole, in order to optimize its performance in terms of cost reduction and service level fulfillment.
The main knowledge gained will be:
theoretical knowledge on materials management, such as inventory control policies for items with independent demand
theoretical knowledge related to material with dependent demand, such as heuristic for lot sizing, forecasting, and basic concepts of Material Requirement Planning

The main skills are:
application of forecasting techniques on historical data for the calculation of future requirements
Ability of develop the Sales and Operations Plan (S & OP)
Ability to develop Master Production Schedule (MPS)
Ability to optimize order quantities and reorder points
Ability to optimize the time interval between orders and the order-up-to levels
Prerequisites In order to understand and to apply most of the techniques described in the course it is essential the knowledge of the following topics:
- Integral, indefinite integrals, multi-variable functions, maximum and minimum bounded
- Probability density functions, basic concepts of statistics.
It is also important to have succesfully taken an exam about Facilities Planning.
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 comulsory but strongly adviced.
Learning verification modality The exam consists of a written exam.
The written exam consists in an exercise in which the student has to solve a problem related to subject as demand forecasting, inventory control, MRP. 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 Introduction to production systems
Costs for decisions
Production costs
Inventory carrying costs
Setup costs
Stock-out costs of
Managing items with stationary and independent demand
General concepts regarding stocks
Classification of stocks based on the state of transformation
Classification of stocks based on their function
Materials management
The objectives of materials management
The criteria for materials management
Managing items with stationary demands
assumptions
The objectives, costs, decisions and management models
The EOQ-ROP model
Order quantity with deterministic and constant demand
The economic order quantity (EOQ)
Quantiities discounts
The economic production quantity (EPQ)
Deterministic lead times
Items with probabilistic demand
Policy (s, Q) (order point, order quantity) - Continuous Review
Choice of the safety factor for the determination of safety stocks
Minimization of the total costs as a function of a fixed cost per Stock-out event.
Minimization of the total costs as a function of a cost per stock-out unit.
Decision rule for a given probability not to go to Stock-out during a supply cycle (cycle service level)
Decision rule for a given percentage of demand fulfilled directly from the shelf (fill rate)
Decision rule for a given average time between stock out occasions (TBS = Time Between Stockout Occasion)
The model with fixed reorder interval
Policy (R, S) (review period, order up to level) - Periodic Review
Variability of lead time
Aggregation in the Multi-Item case
Allocation of a total value of safety stocks for minimizing the total expected number of stock-out incidents in a year
Allocation of a total amount of safety stock for the minimization of the expected total value of stock-outs in a year
measuring the efficiency
Managing items with dependent demand
The general framework
From independent to dependent demand items
General concepts related to dependent demand items
Demand forecasting
static method
self-adaptive methods: moving averages, exponential smoothing, Holt and Winters models
error measures
aggregate sales planning and capacity management
Materials Requirements Planning (MRP)

Code A001728
CFU 6
Teacher Gianluca Rossi
Teachers
  • Gianluca Rossi
Hours
  • 48 ore - Gianluca Rossi
Learning activities Caratterizzante
Area Ingegneria meccanica
Academic discipline ING-IND/12
Type of study-unit Obbligatorio (Required)
Language of instruction Italian
Contents Quality control in industrial production. Measurement systems for fields of mechanical quantities, stress and strain, vibrations, fluid dynamic quantities, non-contact techniques for measuring thermal fields, innovative sensors for research and development applications.
Reference texts E. O. Doebelin, Strumenti e metodi di misura, Ed. Mc Graw-Hill.
Gianluca Rossi, Misure meccaniche e termiche, basi teoriche e principali sensori e strumenti,ISBN 9788843053612. Lecture notes and teaching materials by the teacher on the Unistudium Platform.
Educational objectives Knowing how to use the latest and most innovative measurement techniques for testing in the field of mechanics and fluid dynamics.
Prerequisites Course of basic measurements, basic mathematics and physics typical of engineering.
Teaching methods The course is organized as follows:
lectures on ali subjects of the course;
Laboratory exercises
Other information Although it is formally optional, its frequency is recommended.
See also
https://www.unistudium.unipg.it/unistudium/
All the course material can be downloaded from the above site.
In case of difficulty (for the detailed program of the course or for consultations) contact the teacher by email: roberto.marsili@unipg.it
Learning verification modality The exam includes an oral test which consists of a discussion lasting about 45 minutes aimed at ascertaining the level of knowledge and understanding reached by the student on the theoretical and methodological contents indicated in the program. The oral exam will also allow to verify the student's communication skills with language properties and autonomous organization of the exhibition on the same theoretical topics.
Extended program Quality control, the framework in the European Union, history and evolution of quality, the quality manual, accreditation and certification, statistical tools for quality control, reliability, traceability of measurements, legal responsibility from defective product, accelerated tests, innovative diagnostic techniques for quality control: non-contact temperature measurements, stress measurement by thermoelasticity, strain measurement by Digital Imaging Correlation, vibrometry and anemometry laser Doppler. The main advantages, metrological characteristics, measurement problems and causes of uncertainty are discussed. Application examples are also provided.
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