In today's global business environment, the intense competition, the changing and uncertain conditions, and the increasing customer's requirements are challenges for the companies' operational efficiency and profitability. In this context, companies highlight the importance of supply chain design and its holistic understanding in order to achieve and sustain competitive strengths. This book analyses supply chains as complex systems, whose performance is characterized by their structural configuration and emergent behaviour.
The author analyses the supply chain structure and behaviour within the scope of complexity science. He focuses on supply chain complexity by means of a literature review and an empirical research, which give insights into the impact of complexity on supply chain performance. Moreover, within this book the supply chain is modelled as a complex system by considering the non-linear relationships of its geo-positioned elements. Finally, an agent based model is developed for the generic supply chain simulation, which allows assessing the impact of complexity on supply chain performance and characterizing the behaviour of supply chain designs.
The materials presented in this book contribute to the understanding and management of supply chain complexity. This work complements existing complexity frameworks with a holistic analysis of complexity's impact on the performance of supply chain participants and their network. The findings of this work are relevant for researchers interested in characterizing supply chain phenomena by enabling them to model supply chain structures and to simulate their emergent behaviour. Practitioners can benefit from the provided model and simulation platform by allowing them to dynamically assess the performance of their supply chain designs and strategy definitions. By these means, they improve their decision-making and business profitability. In all, this book contributes towards the development of artificial intelligence in supply chain management, its realistic simulation and dynamic performance optimization.
Reihe
Thesis
Dissertationsschrift
2012
Technische Universität Hamburg-Harburg
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Illustrationen
70
115 Schaubilder, 70 Tabellen
Maße
Höhe: 210 mm
Breite: 148 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-3-8441-0209-3 (9783844102093)
Schweitzer Klassifikation
Mayolo Alberto López Castellanos holds a B. Sc. in Industrial and Systems Engineering from the Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM, Mexico) with an exchange at McGill University (Canada). He specialized in Mechatronics Technology at Chiba Polytechnic Center (Japan) and graduated as M. Sc. in International Production Management at Hamburg University of Technology (TUHH, Germany); he also holds an MBA from the Northern Institute of Technology (NIT, Germany). The author worked as an Operations Manager in one of Mexico's leading newspapers and as a research associate in the Institute of Business Logistics and General Management at Hamburg University of Technology. He concluded his dissertation for Dr.-Ing. in 2012 under the supervision of Prof. Dr. Dr. h. c. Wolfgang Kersten.
1 Introduction
2 Theoretical Foundations
2.1 Systems Thinking
2.2 Cybernetics
2.3 Complexity Science
2.4 Complex Systems
2.5 Conclusions of Theoretical Foundations
3 Literature Review of Supply Chain Complexity
3.1 Supply Chain as a Complex System
3.2 Supply Chain Analysis
3.3 Supply Chain Complexity
3.4 Conclusions of the Literature Review of Supply Chain Complexity
4 Supply Chain Complexity Analysis in Industry
4.1 Empirical Research Methodology
4.2 Research Output Analysis
4.3 Conclusions of the Analysis of Supply Chain Complexity in Industry
5 Assessment of Supply Chain Complexity
5.1 Supply Chain Complexity Analysis
5.2 Algorithm for Complexity Assessment
5.3 Framework for Complexity Assessment
5.4 Supply Chain Complexity Assessment
5.5 Conclusions of the Assessment of Supply Chain Complexity
6 Development of an Agent-Based Model for Generic Supply Chain Simulation
6.1 Supply Chain Simulation
6.2 Agent-Based Modelling of Supply Chain Building Blocks (SCBB)
6.3 Case Study for the Supply Chain Performance Assessment and Complexity Control
6.4 Conclusions of the Agent Based Model for Generic Supply Chain Simulation
7 Conclusion
7.1 Summary of Main Findings
7.2 Theoretical Implications and Outcome Limitations
7.3 Managerial Implications and Future Research Lines
