Process Mapping and Stochastic Input Modeling

Inhaltsverzeichnis (Table of Contents)

• Introduction
  • Problem of the Thesis
  • Aims of the Thesis
  • Course of Research
• Critical Perspective on Queuing Theory Approach
• Theoretical Foundations
  • Queuing Theory
  • Probability Theory and Statistics
  • Production Logistics
  • Discrete Event System Simulation
• Methodology
  • System Analysis
  • Raw Data Collection
  • Data Preparation and Modeling Procedure
  • Inputs for the Analysis
  • Output of the Analysis
  • Assumptions and Simplifications
• Implementation
  • Exemplary Procedure Funnel 1
  • Table of Results
• Results and Critical Reflections
  • Final Consideration
  • Implications for Further Research
  • Implications for Practice

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This thesis investigates the application of queuing theory and discrete event simulation to optimize material flow in technical procurement. The research aims to identify bottlenecks in the procurement process, model stochastic input parameters, and ultimately propose improvements for streamlining material flow.

• Queuing theory and its application in material flow optimization
• Stochastic input modeling for simulation studies
• Discrete event simulation for process analysis and optimization
• Identification and analysis of bottlenecks in technical procurement
• Development of recommendations for improved material flow efficiency

Zusammenfassung der Kapitel (Chapter Summaries)

The introduction lays out the problem of inefficient material flow in technical procurement and establishes the thesis's objectives. The chapter on theoretical foundations provides a comprehensive overview of queuing theory, probability theory and statistics, production logistics, and discrete event simulation. Methodology details the approach taken, encompassing system analysis, data collection, preparation, and modeling, as well as the inputs and outputs of the analysis. Implementation presents an exemplary procedure funnel and a table of results, while Results and Critical Reflections offer final considerations, implications for further research, and practical implications.

Schlüsselwörter (Keywords)

This study focuses on the application of queuing theory and discrete event simulation in technical procurement. It examines key concepts like stochastic input modeling, process analysis, bottleneck identification, and material flow optimization. The study utilizes data from a real-world procurement process to illustrate the effectiveness of the proposed methodology.