Opinto-opas

Objective

After completing this course the student will be able to tell what discrete computer simulation is, will be able to list the project cycle of the simulation, to understand the phase of model definition and the role of data collection, is aware of the random nature of statistical results, and distinguish the concepts of reliability and validity.

After finishing the course the student understands the effects of various operational actions in operations management. The student is able to choose appropriate development measures for the operating environment.

Content

- Discrete simulation
- The project cycle of simulation
- Simulation model design, statistical analysis and model validity.
- Using the simulation software, and simulation suitability of different problems.

Students will understand how the key best-practices in operation management impact the performance of an organization. How various best-practices, like batch sizes, production types and resource changes impact the lead time, capacity load and costs.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student knows the main stages of a discrete computer simulation project.
The student recognizes some of the techniques of initial data processing and results analysis.
The student recognizes the concepts of reliability and validity.
The student is able to implement the final design of experimental simulation runs with a built-simulation model and report the results of simulation runs.
The student is able to draw up a finite capacity schedule.
The student recognizes the concepts of lead time, utilization rate, delivery accuracy and inventory-level.
The student recognizes the interdependence of production management decisions and financial results.
The student is able to draw up a finite capacity schedule using different customer-order decoupling points.

Assessment criteria, good (3)

The student knows the main stages of a discrete computer simulation project and its content.
The student is able to limit the simulation project.
The student can use the basic techniques of data processing and analysis of the results.
The student understands the difference between reliability and validity.
The student can independently draw up a simple simulation model.
The student is able to draw up a limited experiment design, is able to implement the work required run with a built-simulation model, is able to analyse the results of simulation runs and make the right conclusions of the results.
The student knows the main methods for the production’s finite capacity schedule.
The student knows how to influence the lead times, utilization rates, delivery accuracy and inventory-levels.
The student knows how to influence financial results with manufacturing management.
The student recognizes the bottlenecks in the production system and is able to influence them.
The student is able to control the production using different customer-order decoupling points.
The student understands how the production process quality guideline affects the maneuverability.
The student recognizes how the manufacture’s product mix, batch sizes and shifts affect the maneuverability.

Assessment criteria, excellent (5)

The student knows the main stages of a discrete computer simulation project and its content.
The students is able to limit the simulation project.
The student is able to outline a meaningful simulation project from the production control problem.
The student masters a number of initial data processing, analysis of the results and the variance reduction techniques.
The student is able to establish reliability and validity in the simulation model drawn up.
The student can independently draw up a simple simulation model.
The student is able to draw up an extensive experiment design, is able to implement the work required run with a built-simulation model, is able to analyse the results of simulation runs and make the right conclusions of the results.
The student understands the selection criteria for the simulation methodology and software selection.
The student masters the production’s finite capacity scheduling.
The student knows how to influence analytically the lead times, utilization rates, delivery accuracy and inventory-levels.
The student knows how to influence analytically financial results with manufacturing management.
The student recognizes the bottlenecks in the production system and is able to substantially influence them.
The student is able to analyse the production using different customer-order decoupling points.
The student is able to analyse how the production process quality guideline affects the maneuverability.
The student is able to analyse how the manufacture’s product mix, batch sizes and shifts affect the maneuverability.
The student is able to present his/her analyses and conclusions.

Qualifications

Introduction to Supply Chain Management
Manufacturing Management