Unit INDUSTRIAL PRODUCTION
- Course
- Mechanical engineering
- Study-unit Code
- 70307011
- Curriculum
- In all curricula
- CFU
- 10
- Course Regulation
- Coorte 2021
- Offered
- 2022/23
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa integrata
MANAGEMENT OF PLANTS AND INDUSTRIAL LOGISTICS
| Code | 70026105 |
|---|---|
| CFU | 5 |
| Teacher | Stefano Antonio Saetta |
| Teachers |
|
| Hours |
|
| Learning activities | Caratterizzante |
| Area | Ingegneria meccanica |
| Academic discipline | ING-IND/17 |
| Type of study-unit | Obbligatorio (Required) |
| Language of instruction | Italian |
| Contents | The Supply Chain definition, drivers and optimization. The management of inventory the inventory policies. Production Key Performance Indicators. Forrester Effect: simulation. Material Handling Warehouse: functions, dimensioning, operation |
| Reference texts | James A. Tompkins, John A. White, Yavuz A. Bozer, J. M. A. Tanchoco, Facility Planning 5th edition, 2021 Silver, Pyke, Thomas Inventory and Production Management in Supply Chains, 2016 Sule, 2008, Manufacturing Facilities. Chopra and Meindl, 2020, Supply Chain Managemen |
| Educational objectives | Knowledge of: -Logistics And Supply Chain -Strategy Supply Chain -Models for inventory management under deterministic and probabilistic demand -Criteria for the determination of the production performances -Criteria and models for production planning and control Skills achieved : -Optimization Inventory management -To evaluate properly the production performancse -Understand the issues related to the management of productio |
| Prerequisites | There are no mandatory classes to undertake before this one. The basic and applied knowledge acquired in the undergratuate course of Mechanical Engineering is enough to successfully take this class and succeed. |
| Teaching methods | Face to face |
| Learning verification modality | The assessment consists of a written test (open ended questions) and an oral test. Both tests cover all the topics listed in the program of the module. |
| Extended program | Introduction to Facility Management and Industrial Logistics. Definition of Logistics and Supply Chain. Examples of Supply Chain. The Competitive Strategy and the Supply Chain Strategy. Functional Products and Innovative Products. Production Decoupling Point. The drivers of the supply chain. The costs of facilities, transportation costs, inventory. Information, costs and outsourcing. The Inventory Aggregation example, introduction and examples. The equation of repeated trials of Bernoulli. The trend in stocks when they increase the number of facilities in the distribution supply chain. Materials management by requirement and by Inventories. The Forrester Effect and the Beer game. Material Handling: principles, the Unit of Load, the material Handling systems, the equipment and the machinery. Warehouse performance measurement. The different kind of Warehouse. Model for the Warehouse optimization. Honeycombing |
| Code | A002365 |
|---|---|
| CFU | 5 |
| Teacher | Nicola Senin |
| Teachers |
|
| Hours |
|
| Learning activities | Caratterizzante |
| Area | Ingegneria meccanica |
| Academic discipline | ING-IND/16 |
| Type of study-unit | Obbligatorio (Required) |
| Language of instruction | Italian |
| Contents | Computer aided manufacturing - quality inspection in manufacturing and statistical process control - measurement methods and technologies for inspection and verification - information technology to support planning and executing of manufacturing process operations (computer aided manufacturing, computer aided process planning) |
| Reference texts | M. Groover, Automation, Production Systems and Computer-integrated Manufacturing, Pearson D.C. Montgomery, Introduction to Statistical Quality Control, Wiley C. McMahon, J.Browne, CAD-CAM principles, practice and manufacturing, Addison Wesley K. Lee, Principles of Cad/Cam/CAE Systems, Addison-Wesley S. Kalpakjian, Manufacturing Engineering Technology, Addison Wesley |
| Educational objectives | Know the main issues and solutions for quality inspection and statistical process control. Know the main measurement methods and technologies for product quality inspection and verification of conformance to tolerance specifications. Know the main issues and available solutions pertaining to the use of information technology to support planning and execution of manufacturing processes |
| Prerequisites | No mandatory requirements. However, basic knowledge of the main manufacturing processes and technologies is preferable |
| Teaching methods | Frontal lectures |
| Other information | Further information can be found in the MOODLE website of the course (www.unistudium.unipg.it) |
| Learning verification modality | Written and oral examination |
| Extended program | Part I - Quality in manufacturing Introduction to quality management and control Process variability and capacity Variables and attributes in production Intro to statistical quality control Control charts for variables Control charts for attributes Six-sigma and DMAIC Taguchi Methods ISO 9000 Part II - Measurement methods and technologies for geometric and dimensional inspection of manufactured products Introduction to inspection and verification Sampling inspection Types of inspection Inspection metrology Conventional measurement technologies for dimensional inspection Conventional form metrology Coordinate measurement machines Non-contact technologies for coordinate measurement machines Part III - IT to support manufacturing process planning and execution Intro to geometric and solid modelling Point clouds and polygonal meshes Parametric curves and surfaces CSG modelling and boundary representations Solid modelling for tooling and machine design Intro to manufacturing process simulation (casting, forming and material removal) Computer-aided programming of material removal processes (CAD and CAD/CAM) |