Czech

4

doc. Ing. Petr Blecha, Ph.D., FEng.

Institute of Production Machines, Systems and Robotics

The listener is able to solve the common types of tasks associated with the calculation of the stock levels in the production company, production planning and production costs and logistics. Student is acquainted with the basic principles of marketing and is able to apply these principles in practice. Student will learn how to use the informatics platform for planning and scheduling production.

General mathematics knowledge at the level of education of FME courses. Basic knowledge of differential and integral calculus.

Lectures are used to explain main theoretical basics of the subject. Exercises are aimed practically. Students prepare simulation models related to the problematic. They use among other and data coming from the industry.

Condition for a course-unit credit awarding:
Active participation in the seminars. The elaboration of a semester project and its presentation (30b+15b).

Exam: Evaluates the theoretical knowledge of the subject. Written test (55b)

The resulting evaluation is given by the sum of the individual scores profit from seminars and exam. For the successful completion of the course is needs to get at least 50 points.

The aim of the subject “Production management and marketing” is to provide students’ knowledge about the processes of production control in production company and to acquaint them with the basic principles of marketing.

Subject describes the types of planning systems, their characteristics and application in practice. Student will be acquainted with the issue of supply, purchase, logistics, finance, cost management, simulation and optimization of production systems and the application of this issue on examples.

Participation in the seminars is mandatory. In seminars is evaluated activity and basic knowledge.

Programme B3S-P: Engineering, Bachelor's
branch B-VSY: Production Technology, compulsory

Programme M2I-P: Mechanical Engineering, Master's
branch M-KSB: Quality, Reliability and Safety, compulsory

Programme M2I-P: Mechanical Engineering, Master's
branch M-VSR: Production Machines, Systems and Robots, elective (voluntary)

26 hours, compulsory

Ing. Jana Rozehnalová, M.Sc.

1. Introduction
Basic concepts of the production management: Production lead time, APS systems, bottleneck, Gantt charts, etc.
Basic concepts of marketing: Principles of marketing, business philosophy, 4P, etc.

2. Company production activity: Division of production activities, manufacturing processes, production planning, production, production capacity.
Manufacturing systems: Hierarchy of management control, classification of manufacturing organization, strategy (manufacturing, developing), process choice, facilities organization, determining optimal layouts, new facilities, GT (Group Technology), flow manufacturing.

3. Manufacturing planning and scheduling: Planning systems development (MRP I and II, ERP, APS), order processing management.

4. Supply: Supply activities, inventory types, standardisation and storage of material, etc.

5. Production logistics: Basic principles, supply chain (SCM), relationship of logistic and production, etc.

6. Financial accounting: General accounting principles, single and double entry accounting, main financial statements.
Management accounting: Costing, setting prices, budgeting, capital investment justification.

7. Cost management: Costs partition and their importance, methods for the determination of costs in the company, key performance indicators (KPIs).

8. Management of design: Sequential and concurrent engineering, quality function deployment, QFD structure, FMEA (Failure mode effect analysis).
Business process re-engineering: Nature of change, BPR – concepts and organizational structures.

9. Marketing: Customer satisfaction, service quality measurement methods, Balanced scorecard, image, GAP model, Kán model, market segmentation, marketing types, types of customers, marketing mix, product life cycle (PLC), mark.

10. Probability and statistics: Probability, probability distributions.
Forecasting: Intuitive forecasting, extrapolation, prediction, forecast uncertainty, improving forecast accuracy.
Price – Price formation, price management, price calculation, price elasticity.

11. Optimization: Objective function, basic optimization concepts, linear programming.
Evaluating alternatives: Decision theory, decision-making.

12. Simulation: Terminology, simulation methodology, continuous simulation, DES (Discrete Event Simulation), limitations of simulation.
Project management: Project networks, activity scheduling, project uncertainty, use of packages, project management practice.

13. Final exam