Amar Oukil

TL;DR: It is shown that each stage of the proposed methodology enhances discrimination among DMUs while offering more flexibility to the decision process.

TL;DR: The outcome shows the great potential of such an approach for degenerate instances of the multiple-depot vehicle scheduling problem, and combines column generation, preprocessing variable fixing, and stabilization.

TL;DR: In this article, the authors evaluated the performance of the hotel industry in the Sultanate of Oman through a two-stage data envelopment analysis (DEA) procedure, in which DEA-bootstrap is used to estimate point and interval efficiency ratios of the hotels, and a truncated regression model based on the double bootstrapping procedure of Simar & Wilson (2007) is implemented to identify potential sources of hotels' operational inefficiency.

TL;DR: In this paper, column generation, preprocessing variable fixing, and stabilization are combined to solve the linear relaxation of the multiple-depot vehicle scheduling problem (MDVSP) for degenerate instances.

TL;DR: This paper uses the advantage of multiple optimal solutions, be in the cases of efficient and/or inefficient DMUs, to integrate both the first and second-order voices of all DMUs and proposes a most appreciative cross-efficiency DEA method.