Unit

Course: Industrial engineering
Study-unit Code: A001726
Curriculum: In all curricula
CFU: 12
Course Regulation: Coorte 2022
Offered: 2022/23
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	Roberto Marsili
Teachers	Roberto Marsili
Hours	48 ore - Roberto Marsili
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.