Supply Chain Management and Corporate Governance is the first comprehensive analysis and analytical robust optimisation modelling of the relationships between corporate governance principles and supply chain management for risk management and decision making under uncertainty in supply chain operations.
Supply Chain Management and Corporate Governance: Artificial Intelligence, Game Theory and Robust Optimisation is the first innovative, comprehensive analysis and analytical robust optimisation modelling of the relationships between corporate governance principles and supply chain management for risk management and decision-making under uncertainty in supply chain operations.
To avoid corporate failures and crises caused by agency problems and other external factors, effective corporate governance mechanisms are essential for efficient supply chain management. This book develops a new collaborative robust supply chain management and corporate governance (RSCMCG) model and framework that combines good corporate governance practices for risk management strategies and decision-making under uncertainty.
This model is developed as a principal–agent game theory model, and it is digitalised and computed by Excel algorithms and spreadsheets as an artificial intelligence and machine-learning algorithm. The implementation of the RSCMCG model provides optimal supply chain solutions, corporate governance principles and risk management strategies for supporting the company to achieve long-term benefits in firm value and maximising shareholders’ interests and corporate performance while maintaining robustness in an uncertain environment.
This book shows the latest state of knowledge on the topic and will be of interest to researchers, academics, practitioners, policymakers and advanced students in the areas of corporate governance, supply chain management, finance, strategy and risk management.
Arvustused
"This book presents an excellent combination of SCM with AI, Game Theory & Optimization Theory with real-life examples. Especially, the robust SCM and corporate governance model's implementation provides optimal supply chain solutions, corporate governance principles, and risk management strategies to help all companies achieve long-term benefits in firm value and maximise shareholder interests and corporate performance while remaining robust in an uncertain environment." - Professor S. B. Goyal Ph. D., Director, Faculty ofInformation Technology, City University, MALAYSIA
List of figures Preface List of acronyms and abbreviations
Chapter
1: Introduction
Chapter 2: Supply chain management, corporate governance,
risk management and optimisation modelling
Chapter 3: Conceptual framework
and modelling methodology
Chapter 4: Robust optimisation model for supply
chain management and corporate governance
Chapter 5: Analysis and
discussion
Chapter 6: Discussion, implications and future directions
Appendices Index
Catherine Xiaocui Lou is a Senior Lecturer in supply chain and logistics in the Victoria University Business School, Deputy Research Lead in Business and Law and Research Fellow at the Institute for Sustainable Industries & Liveable Cities at Victoria University, Australia. She is the Global Vice Chair (Australasia) and the Australian Chairperson for the Women in Logistics and Transport, under the Chartered Institute of Logistics and Transport.
Sardar M. N. Islam is a Professor at Victoria University's Institute of Sustainable Industries and Livable Cities, Australia. He is a Distinguished Visiting Professor of Artificial Intelligence at UnSri. He has published 31 scholarly authored research books and about 250 articles, including many top-grade journal articles in his areas of expertise and interest.
Nicholas Billington has worked with applications of operations research across the last 35 years, initially at the Australian Railway Research and Development Organisation and later at Shell Australia in the areas of corporate planning, transportation and logistics.
