The timeliness of blood supply in the aftermath of a catastrophic event is critical for saving lives. Using historical earthquakes data from Iran, this paper posits and numerically illustrates a fuzzy optimization model to minimize the overall blood supply duration from donation time to the time...

Proposing a full ranking method to rank all the homogeneous decision-making units (DMUs) is one of the important issues in data envelopment analysis (DEA) field. It should be noted that one of the main challenges in using traditional ranking approaches to real-world applications is the presence...

Conventional data envelopment analysis (DEA) models cannot deal with negative and uncertain values. Accordingly, the main objective of current study is to present a novel robust data envelopment analysis (RDEA) approach that is capable to be used in the presence of negative values and uncertain...

The banking industry is one of the most important pillars of financial markets that the effective performance of this industry has a decisive role in the growth and prosperity of the country's economy. Therefore, considering the key position and role of banks in economic growth and inflation...

Recent technological developments related to the extraction and processing of data have given rise to widespread concerns about a reduction of privacy in the workplace. For a growing number of low-income and subordinated racial minority work forces in the United States, however, on-the-job data...

This paper presents a technique to find the solutions of algebraic equations taken away from the different combinatorics geometric series. This idea can enable the scientific researchers to solve the real life problems

A multi-period inventory management model for perishables is developed using a simulation approach. Single-product scenario and periodic review policy are assumed, considering uniform demand, non-null deterministic lead time, fixed shelf life and service level constraints.Simulation is used to...

The linear ordering problem (LOP), which consists in ordering M objects from their pairwise comparisons, is commonly applied in many areas of research. While efforts have been made to devise efficient LOP algorithms, little was done to verify if the obtained solutions are valid and thus if they...

To further constrain the carbon emission of the integrated energy system (IES) and reduce the comprehensive cost, an optimal scheduling model to balance economy and low carbon in a real-time price (RTP) environment was proposed. In this model, a low carbon operation strategy considering a reward...

Car-sharing, especially electric vehicle (EV) sharing, has become one of the important means to reduce carbon emission in urban transportation. To encourage the development of car-sharing and EV industries, many local governments have implemented various subsidy policies in reality, including...