Zayed University, UAE
Munir Majdalawieh is an academic researcher and a practicing Enterprise Information Systems and business development professional. Currently he is an associate professor at Zayed University (ZU). Prior to joining ZU in 2012, he worked for the American University of Sharjah (AUS) in UAE for six years and worked for Booz Allen Hamilton, Hewlett Packard Compaq Computer Corporation, and Digital Equipment Corporation in the United States for more than 22 years. He has published several peer-reviewed papers in international journals and conference proceedings covering topics like enterprise business processes, SCM/Logistics, Green computing, internal auditing and control, IT security and privacy, risk management, corporate and IT governance and strategic changes in IT/IS technologies and management. Dr. Majdalawieh obtained his Ph.D. in Information Technology and his EMBA from George Mason University in Virginia and his M. Sc. in computer Science and Applied Math from Northeastern University in Massachusetts.
The use of information systems to find efficiencies in the supply chain has long been studied since the late ‘70s with material requirements planning (MRP). Coupled with the growing social responsibility to obtain sustainability, this paper explores the use of mobile technologies as a tool to increase efficiencies in the supply chain, particularly in logistics. By leveraging real-time and contextual information about its logistics, businesses can make strategic decisions that lead to efficiencies and sustainability regarding transporting inventory. In particular, it investigates how to manage inventory replenishment while considering the time, capacity and routing of delivery trucks in a vendor managed inventory (VMI) scenario. Furthermore, It looks at the use of sensors, global positioning systems, and other telecommunication technologies to determine whether it is optimal to fulfill the inventory in a particular location. It demonstrates that the ability to make real-time decisions by analyzing contextual data about inventory availability not only contributes to efficient logistics but also solves the sustainability issues such as carbon emissions and reduction of fuel consumption. Future work can look into the adoption of alternative models to maximize the routing of delivery trucks in conjunction with existing forecasting models, and the creation of policy recommendations to be adopted by businesses.