Disruption management : framework, models and applications

1. Introduction. 1.1. Case study: disruption management at continental airlines. 1.2. General description of disruption management. 1.3. Approaches to uncertainties. 1.4. General guidance of disruption management. 1.5. An overview of the book. 1.6. Literature review -- 2. General models for disruption management. 2.1. Introduction. 2.2. Goal programming models. 2.3. A scenario-based model. 2.4. Local search methods. 2.5. Literature review -- 3. Disruption management for flight scheduling. 3.1. Introduction. 3.2. Flight scheduling problems. 3.3. Issues in flight rescheduling. 3.4 Time-space network models. 3.5. A time band model. 3.6. Set packing model. 3.7. Literature review -- 4. Disruption management for airline crew scheduling. 4.1. Introduction. 4.2. Overview of crew scheduling problem. 4.3. Network flow formulation. 4.4. A heuristics algorithm. 4.5. Integer programming model. 4.6. Related literature -- 5. Disruption management for machine scheduling. 5.1. Introduction. 5.2. Problem statement and definitions. 5.3. Disruption management for an SPT schedule. 5.4. Problems with min-max deviation cost functions. 5.5. Extensions to parallel machines. 5.6. Literature review -- 6. Disruption management for logistics scheduling. 6.1. Introduction. 6.2. Problem description. 6.3. Minimizing total completion time and transportation cost. 6.4. Minimizing only job completion deviation costs. 6.5. Minimizing weighted sum of job deviation costs and the original objective function. 6.6. Literature review -- 7. Inventory disruption management based on economic production quantity models. 7.1. Introduction. 7.2. Problem formulation. 7.3. Disruption management with fixed setup times. 7.4. Disruption management with flexible setup times. 7.5. Two-stage models. 7.6. Related literature -- 8. Disruption management for discrete production planning problems. 8.1. Introduction. 8.2. Problem formulations. 8.3. Dynamic programming algorithm. 8.4. Case for convex cost functions. 8.5 Numerical examples and computational experiments. 8.6 Related literature -- 9. Disruption management for supply chain coordination. 9.1 Introduction. 9.2 Supply chain coordination without disruptions. 9.3 Centralized decision making with demand disruptions. 9.4. Decentralized decision making after demand disruptions. 9.5 Extension to nonlinear demand functions. 9.6 Extensions to a supply chain with two retailers. 9.7 Literature review -- 10. Disruption management for project scheduling. 10.1 Introduction. 10.2 Modeling of disruption management for project scheduling. 10.3 Some special cases. 10.4 A hybrid MIP/CP solution approach. 10.5 Numerical examples. 10.6 Computational results. 10.7 Literature review -- 11. Conclusion.