Sustainable Supply Chains: Strategies, Issues, and Models (PDF)

Dr Usha Ramanathan is a Professor Sustainability and Supply Chains in Nottingham Trent University, UK. Usha has a wide experience of teaching for more than two decades. Usha's research interests include data analysis, supply chain collaboration for sustainability, role of collaboration in SMEs' performance, Collaborative Planning Forecasting and Replenishment (CPFR), value of information sharing and forecasting, e-commerce, RFID, Big Data, retail customer behaviour and loyalty in the contexts of service and operations. She has published in leading journals such as International Journal of Production Economics, International Journal of Operations and Production Management, Expert Systems with Applications and Omega: The International Journal of Management Science. Some of her research work obtained high honours such as the 'Highly Commended Award' at the Emerald Literati Network Awards for Excellence in 2012 and 2018.
Dr Ramakrishnan Ramanathanis a Professor of Operations Management at the University of Bedfordshire Business School, Luton, UK. In the past, he has worked and taught in a number of countries, including the UK, Finland, the Netherlands, Oman and India. His research interests include operations management, supply chains, environmental sustainability, data envelopment analysis and the analytic hierarchy process. Ram has successfully completed more than 30 research projects across the world. His current research projects as Principal Investigator include: (i) the REAMIT project funded by the Interreg North West Europe aimed at reducing food waste in the agribusiness supply chain (nearly 5 million Euro) and (ii) the TAF project funded by the Newton Fund for improving productivity of artisanal fishing in Brazil (nearly £100,000). In addition, Ram is on the editorial boards of several journals and in the technical/advisory committees of several international conferences in his field. He is a member of ESRC Peer ReviewCollege in the UK and reviews