Process Mapping and Stochastic Input Modeling

For a Material-Flow Simulation Study in Technical Procurement


Bachelor Thesis, 2011

43 Pages, Grade: 1,3


Excerpt


Table of Contents

List of Figures and Tables

List of Abbreviations

1 Introduction
1.1 Problem of the Thesis
1.2 Aims of the Thesis
1.3 Course of Research

2 Critical Perspective on Queuing Theory Approach

3 Theoretical Foundations
3.1 Queuing Theory
3.2 Probability Theory and Statistics
3.3 Production Logistics
3.4 Discrete Event System Simulation

4 Methodology
4.1 System Analysis
4.2 Raw Data Collection
4.3 Data Preparation and Modeling Procedure
4.4 Inputs for the Analysis
4.5 Output of the Analysis
4.6 Assumptions and Simplifications

5 Implementation
5.1 Exemplary Procedure Funnel 1
5.2 Table of Results

6 Final Consideration
6.1 Results and Critical Reflections
6.2 Implications for Further Research
6.3 Implications for Practice

Table of References

Affidavit

Excerpt out of 43 pages

Details

Title
Process Mapping and Stochastic Input Modeling
Subtitle
For a Material-Flow Simulation Study in Technical Procurement
College
Jacobs University Bremen gGmbH  (School of Engineering and Science)
Course
International Logistics
Grade
1,3
Author
Year
2011
Pages
43
Catalog Number
V181775
ISBN (eBook)
9783656050407
ISBN (Book)
9783656050629
File size
637 KB
Language
English
Keywords
procurement, simulation, process, mapping, stochastic, modeling, mathematic, logistics, queuing theory, markov, logistics operating curves
Quote paper
Ileana Constantinescu (Author), 2011, Process Mapping and Stochastic Input Modeling, Munich, GRIN Verlag, https://www.grin.com/document/181775

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