Supply chain operations have entered the digital era with the emergence of blockchain
technology. In this paper, we discuss how the mean–variance (MV) approach can be …

Purpose–The purpose of this paper is to carry out a comprehensive review for state-of-the-
art works in disruption risk management of express logistics mainly supported by air …

The notable growth of air transportation in recent years has led to increasingly congested
airports and airspace. Working at nearly maximum capacity involves risks that normally …

Our work is motivated by the increasing demand in the aviation sector and simultaneously
aggravated poor punctuality. The airlines play an important role in improving their service …

Delays and disruptions in airline operations annually result in billions of dollars of additional
costs to airlines, passengers, and the economy. Airlines strive to mitigate these costs by …

The daily crew pairing problem (DCPP) seeks to generate a set of minimal-cost pairings that
covers all the planned daily flights while complying with a variety of labor regulations, safety …

We propose, optimize, and validate a methodological framework for estimating the extent of
the crew-propagated delays and disruptions (CPDDs). We identify the factors that influence …

Purpose One of the main advantages of the proposed model is that it is flexible to generate n-
day pairings simultaneously. It means that, despite previous researches, one-day to n-day …

Abstract The Resource Constrained Shortest Path Problem (RCSPP) models several
applications in the fields of transportation and communications. The classical problem …

Crew fatigue is one of the main causes of airline accidents. Regulatory authorities such as
the Federal Aviation Agency constantly introduce new fatigue regulations, often in the form …