Risk management plays a vital role in effectively operating supply chains in the presence of
a variety of uncertainties. Over the years, many researchers have focused on supply chain …

Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …

Economic systems are increasingly prone to complexity and uncertainty. Therefore, making
well-informed decisions requires risk analysis, control and mitigation. In some areas such as …

This paper proposes a Continuous Approximation (CA) model that designs the potentiality of
drones as a mode of transportation to supply emergency commodities in a disaster-affected …

We present a survey that focuses on the response and recovery planning phases of the
disaster lifecycle. Related mathematical models developed in this area of research are …

This paper provides an overview of developments in robust optimization since 2007. It seeks
to give a representative picture of the research topics most explored in recent years …

The increasing number of natural and man-made hazards is forcing organizations to build
resilience against numerous types of disruptions that threaten continuity of their business …

We have reviewed disaster management research papers published in major operations
management, management science, operations research, supply chain management and …

Supply chain resilience in mindful humanitarian aid organizations: the role of big data analytics
| Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with …

Battery electric buses with zero tailpipe emissions have great potential in improving
environmental sustainability and livability of urban areas. However, the problems of high …