Models for decision-making under uncertainty use probability distributions to represent variables whose values are unknown when the decisions are to be made. Often the distributions are estimated with observed data. Sometimes these variables depend on the decisions but the dependence is ignored...

We develop a dynamic fleet scheduling model that demonstrates how a carrier can improve fleet utilization. The fleet scheduling model presented by Lee et al. (Eur J Oper Res 218(1):261–269, <CitationRef CitationID="CR12">2012</CitationRef>) minimizes (1) a carrier’s fleet size and (2) the penalty associated with the alternative...</citationref>

Carriers are under increasing pressure to offset rising fuel charges with cost cutting or revenue generating schemes. One opportunity for cost reduction lies in asset management. This paper presents resource allocation scheduling models that can be used to assign truck loads to delivery times...

Airline data have shown that the fraction of customers who choose the cheapest available fare class often is much greater than that predicted by the multinomial logit (MNL) choice model calibrated with the data. For example, the fraction of customers who choose the cheapest available fare class...