Healthcare fraud is a global problem affecting both developing and developed countries. It is the deliberate attempt of the perpetrators to take undue advantage of the inefficiencies in current healthcare systems. Fraud tends to deny legitimate beneficiaries of universal health coverage,...

This research develops a humanitarian cold supply chain model with equity consideration for COVID-19 vaccine distribution during a pandemic, considering deprivation cost and an important social concept named equity. The proposed comprehensive plan minimizes all incurred costs, including...

Companies create supply chains (SC) to gain added value, but collaborative relationships do not mean they all receive a balanced share of this value due to power asymmetry. The success of an SC depends on its ability to deliver the required products/services to the customer with specific quality...

The family of optimization models of Data Envelopment Analysis (DEA) has been shown to be very useful performance analytics tools that support benchmarking systems in measuring, comparing, and enhancing various notations of efficiency. It has also been extensively used as an advanced analytical...

Benchmarking, in many cases by means of Data Envelopment Analysis, is one of the main strategies of regulatory agencies to control the costs of monopolistic companies. In such cases, the determination of inputs and outputs as performance criteria is often an issue. Against this background, we...

In the wake of widespread privatisations of publicly owned utilities such as water, gas, electricity and telecommunications providers, regulatory systems have evolved to protect consumers from the often local monopoly or oligopoly power such organisations enjoy. Economic regulators impose inter...

Air taxi is a new and emerging form of urban air mobility (UAM) for reducing traffic congestion in metropolitan cities by providing on-demand aviation services to millions of customers daily. These aviation services leverage the electric vertical takeoff and landing (eVTOL) technology, and...

The future is unknown and uncertain, but there are ways to predict future events and reap the rewards safely. One such opportunity is the application of machine learning and artificial intelligence for stock market prediction. The stock market is turbulent, yet using artificial intelligence to...

Traditionally, product deletion is a reactive decision driven by low sales volume and profit margin. However, the complexities involved in product management and consumer behavior volatilities make it necessary to account for a broad range of financial and non-financial factors. Besides,...

Selection of an appropriate Multiple Attribute Decision Making (MADM) method for providing a solution to a given MADM problem is always challenging endeavour. The challenge is even greater for situations where for a specific MADM problem there exist multiple MADM methods with similar degree of...