Causal loop diagramming (CLD)

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Table of contents

1. Introduction
1.1 Aim of study
1.2 Problem Statement
1.3 Research delimitation
2. Theoretical Background
2.1 Swedish Manufacturing Industries (SMI)
2.2 Innovation and competitiveness in SMI
2.3 Simulation: a tool for Innovation
2.4 Simulation Modeling
2.5 Discrete event logistics system
2.6 System theory point of view on discrete event logistics systems
2.7 Modeling for Discrete event logistics system
2.8 System dynamics modeling
2.8.1 Causal Loop Diagramming
2.8.2 Continuous Simulation
2.8.3 OR Techniques
2.9 Discrete Event Simulation
2.10 SD and DES: Comparison and use
3. Research approach
3.1 Identification of journal articles and simulation approach adopted
3.2 Creation of a schema for classifying papers by LSCM issue
3.3 Distinguishing between strategic and operational/tactical LSCM issues
3.4 Classifying papers by the LSCM issues addressed
4. Result
4.1 The frequency of use of DES and SD in LSCM context of SMI
4.2 Most frequently modeled LSCM issue
4.3 The focus of modeling efforts on strategic and operational/tactical levels
4.4 Some companies involved
5. Analysis and Discussion
6. Summary and Conclusions
References