OPERATIONS RESEARCH IN THE AIRLINE INDUSTRY -- Editor's page -- Copyright -- CONTENTS -- CONTRIBUTORS -- PREFACE -- ACKNOWLEDGMENTS -- 1 MODELS AND METHODS FOR MANAGING AIRLINE IRREGULAR OPERATIONS -- 2 A LARGE-SCALE NEURAL NETWORK FOR AIRLINE FORECASTING IN REVENUE MANAGEMENT -- 3 A TUTORIAL ON...

This paper presents three multi-commodity network-type models for determining a recovery schedule for all aircraft operated by a large carrier following a hub closure. The first is a pure network with side constraints, the second is a generalized network, and the third is a pure network with...

Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data assume the form of specific numerical values. In some...

We consider a two-stage serial inventory system whose cost structure exhibits economies of scale in both stages. In the system, stage 1 faces Poisson demand and replenishes its inventory from stage 2, and the latter stage in turn orders from an outside supplier with unlimited stock. Each...

The purpose of this paper is to investigate an one-supplier-one-retailer supply chain that experiences a disruption in demand during the planning horizon. While demand uncertainty has long been a central research issue in supply chain management, little attention has been given to disruptions...