1. SylabUZ
2. Faculty of Mechanical Engineering
3. winter term 2023/2024
4. Management and Production Engineering - Second-cycle studies leading to MSc degree
5. Quantitative methods in logistics

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Quantitative methods in logistics - course description

Aim of the course

The goal is to gain specialist knowledge regarding the application of quantitative methods in the design, planning and analysis of logistics processes.

Prerequisites

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Operational research, engineering optimization, statistics

Scope

As part of the lecture the following issues are discussed:

Lectures: Quantitative methods - methodological problems. Forecasting methods in logistics. Quantitative methods in managing transport processes. Quantitative methods in the configuration of the logistics network. Inventory management methods. Application of quantitative methods in warehouse design. Modeling and simulation in logistics. Determining the size of the delivery lot. Network methods in logistics project management.

Exercises: Planning transport routes. Forecasting primary demand. Location of nodal points of the network. Materials inventory control. Finished goods inventory control. Warehouse design. Modeling and simulation of logistics processes using Tecnomatix Plant Simulation.

W1. Introduction to production logistics.

W2. Spatial planning of production systems and design of production flow.

W3. Warehouse and material management, inventory management.

W4. Determining the size of production batches and deliveries.

W5. Production flow analysis using belt and roller conveyors.

W6. Production flow analysis using forklifts or AGV.

W7. Modeling and simulation of production logistics processes.

W8. Analysis of procurement processes, planning the volume of deliveries, MRP.

W9. Analysis of bottlenecks, balancing production lines.

W10. Production flow identification, barcodes, RFiD.

W11. Methods of supporting the planning of product distribution processes.

W12. KANBAN production control, Just in Time orders, case study of the automotive industry.

W13. Application of industrial robots and manipulators in logistics,

W14. IT support for logistic processes, reporting of the course of logistic processes.

W15. Trends in the development of production logistics systems, industry 4.0.

 
L1. Introduction to modeling production processes in Tecnomatix Plant Simulation.

L2, L3 - Modeling and simulation of discrete processes.

L4, L5 - Modeling of production logistics processes with the use of conveyors.

L6, L7 - Modeling of production logistics processes with the use of self-propelled trucks.

L8, L9 - Modeling of production logistics processes with the use of palletizing systems.

L10, L11 - Modeling of production logistics processes with the use of pallets. Production flow models for different production batch sizes.

L12, L13 - Modeling and simulation of energy consumption in production systems.

L14, L15 - Designing simulation experiments.

Teaching methods

Teaching methods: conventional lecture, laboratory

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Lecture: Credit with a grade. The grade is issued on the basis of a written test covering verification of knowledge of basic issues.

Laboratory: passing the grade. The grade is determined based on laboratory exercises.

Final grade - arithmetic average of grades for individual forms of classes.

Recommended reading

1.     Krawczyk S. Metody ilościowe w logistyce, C.H.Beck, Warszawa 2001.

2.     Bendkowski J, Kramarz M., Kramarz W., Metody i techniki ilościowe w logistyce stosowanej. Wybrane zagadnienia, Wydawnictwo Politechniki Śląskiej, Gliwice 2010.

Further reading

Notes

Modified by dr inż. Tomasz Belica (last modification: 12-04-2023 23:05)