Sanjoy Kumar Paul & Renu Agarwal 
Supply Chain Risk and Disruption Management [PDF ebook] 
Latest Tools, Techniques and Management Approaches

Chapter 1: Overview of supply chain risk and disruption management tools, techniques, and approaches.- Chapter 2: Supply Chain Deep Uncertainties and Risks: The ‘New Normal’.- Chapter 3: A Review on Uncertainty Modeling for Decentralized Supply Chain Systems.- Chapter 4: Emergent Technologies for Supply Chain Risk and Disruption Management.

Sanjoy Kumar Paul is the Program Director of the Master of Strategic Supply Chain Management program and an Associate Professor at the UTS Business School, University of Technology Sydney, Australia. Sanjoy’s research interests include supply chain risk management, resilience and sustainability, applied operations research, modeling and simulation, and intelligent decision-making. Sanjoy has published more than 120 articles in top-tier journals and conferences, including the European Journal of Operational Research,  Transportation Research Part E: Logistics and Transportation Review,  International Journal of Production Economics,  Journal of Business Research,  International Journal of Production Research,  Computers and Operations Research,  Computers & Industrial Engineering,  International Journal of Logistics Management,  Business Strategy and the Environment,  Journal of Cleaner Production, and Annals of Operations Research, among many others. He is also an associate editor, area editor, editorial board member, and active reviewer of several reputed journals. Sanjoy has successfully secured external grants from the Department of Defence, Department of Industry, Science, Energy and Resources, Department of Foreign Affairs and Trade, and Meat and Livestock Australia Limited. Sanjoy has received several awards in his career, including ASOR Rising Star Award from the Australian Society for Operations Research, Excellence in Early Career Research Award from UTS Business School, the Stephen Fester prize for most outstanding thesis from UNSW, and high impact publications awards for publishing articles in top-tier journals. Based on his citation records in 2020 and 2021, he was included in the top 2% of scientists in author databases of standardized citation indicators.
 
Renu Agarwal is a Professor of Management (Strategic, Operations and Supply Chain) and the Director of a new Supply Chain Management Online Program at the University of Technology Sydney. Previously Renu has had extensive industry experience working for State Rail Authority, and Telstra and its joint venture company REACH. Renu has been instrumental in managing several million dollars worth of research projects funded by DIISR Canberra, MED New Zealand, NSW Health, and Queensland Health working in collaboration with LSE, Mc Kinsey and Stanford University which have all contributed to the broader International World Management Survey. One of the many research projects led to the 2009 landmark study – Management Matters in Australia: Just how productive are we? – which has had an impact on Australian government policy making. Recently, Renu led the design of the Australian Management Capability Survey in collaboration with DIISR and ABS which resulted in the release of the data cube output 8172.0 – Management and Organisational Capabilities of Australian Business. Besides, Renu has undertaken research for many corporate organizations, including Slyp, Deloitte Access Economics, NSW Innovation and Productivity Council and the Department of Industry, Australian Industry Group, Res Med, SGEC, Microsoft, ASCI, Hargraves Institute, FIAL, CSIRO, Centre for Workplace Leadership, Melbourne University. Renu provides leadership in the disciplinary fields of service innovation, service value networks, supply chain management, dynamic capability building in VUCA environment, management practices, innovation and productivity. She is the editor of several edited books, has published articles in top-tier journals and conferences, and is also an area editor, guest editor, editorial board member, and active reviewer of many reputed journals. 

Ruhul Amin Sarker is a Professor in the School of Engineering and IT (SEIT) at UNSW Canberra located at ADFA. He served as the Director of Faculty PGResearch (June 2015 to May 2020) and as the Deputy Head of School (Research) of SEIT (2011-2014). He obtained his Ph D from Dalhousie University (former TUNS), Canada and his broad research interests are decision analytics, CI / evolutionary computation, operations research, and applied optimization. He is the lead author of the book ‘Optimization Modelling: A Practical Approach’. His name appeared on the recent Stanford University list of top 2% of world’s scientists-researchers (research fields: Artificial Intelligence and Operations Research). 

Towfique Rahman is pursuing his Ph D in operations and supply chain management and working as a casual academic in the Management Discipline Group at the University of Technology Sydney, Sydney, Australia. He has a Bachelor of Science degree from the Islamic University of Technology (IUT-OIC) and a Master of Engineering degree from Bangladesh University of Engineering and Technology (BUET). Previously, he worked as asupply chain executive for well-known companies such as MJL Bangladesh limited, a strategic alliance partner of Exxon Mobil. Towfique has an impressive publication record, with numerous articles published in esteemed international journals, including the Journal of Cleaner Production, Computers & Industrial Engineering, Energy, Production Planning & Control, Annals of Operations Research, and many more. He works as a reviewer for renowned international journals, such as the Journal of Cleaner Production and the International Journal of Production Research. Towfique’s scholarly contributions have been well-received and have garnered significant citations. His research interests focus on resilient and sustainable supply chain management, risk management, energy-efficient supply chain, logistics, industry 4.0, circular economy, simulation, and supply chain network optimization.