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Table of contents
Chapter I: General Introduction
1.2. Chapter purpose and outline
1.2. Introduction
1.2. Problem statement
1.2. Scope and objectives
1.2. Research methodology
1.2. Thesis contribution
1.2. Organization of the thesis
Chapter II: Literature Review
2.0. Chapter purpose and outline
2.1. Introduction
2.1.1. Production system characteristics
2.1.2. Methodology
2.2. Separate optimization
2.3. Simultaneous optimization
2.4. Conclusion and gap analysis
Chapter III: Mathematical Formulations & Solution Approaches
3.0. Chapter purpose and outline
3.1. Problem statement
3.2. Main Problem (MP)
3.2.1. Assumption
3.2.2. Notations
3.2.3. Mathematical formulation
3.2.3.1. Formulation of MI-or-CI strategy
3.2.3.2. Formulation of MI-and-CI strategy
3.2.4. Robust Optimization
3.3. Extended Problem (EP)
3.3.1. Bi-objective model
3.3.1.1. Notations
3.3.1.2. Mathematical formulation
3.3.1.3. Robust Optimization
3.3.2. Multi-objective model
3.3.2.1. Assumptions
3.3.2.2. Notations
3.3.2.3. Mathematical formulation
3.3.2.4. Robust Optimization
3.4. Solution algorithms: Meta-heuristics
3.4.1. Solution representation: Main Problem
3.5. Discussion and Summary
Chapter VI: Experimental Results
4.0. Chapter purpose and outline
4.1. Experiments
4.1.1. Case study
4.1.2. Experimental setup
4.2. Computational results: Main Problem
4.2.1. Main Problem results
4.3. Computational results: Extended Problem
4.3.1. BMILP_EP model
4.3.2. TMINLP_EP model
4.3.3. Sensitivity analysis
4.3.4. Computational time complexity
4.3.5. Model uncertainty
4.4. Summary
Chapter V: Hub Location Problem
5.0. Chapter purpose and outline
5.1. Introduction
5.2. Literature review
5.3. The reliability hub location problem
5.3.1. Partial disruptions in hubs and links
5.3.2. Uncertainty of transportation time due to stochastic degradation
5.3.3. Stochastic disruption of hubs’ service rates
5.4. Mathematical formulation
5.5. Linearization of the model: A piecewise function
5.6. Approximated BOCRHLP (AMIP)
5.7. Multi-objective lower bound approach (MOLB)
5.8. Multi-objective meta-heuristic algorithm
5.8.1. Solution representation scheme
5.8.1.1. Hub location (Phase 1)
5.8.1.2. Hub capacity level (Phase 2)
5.8.1.3. Spoke allocation (Phase 3)
5.8.1.4. Transportation mode (Phase 4)
5.8.2. The Proposed algorithm
5.8.2.1. Self-adaptive NSGA-II
5.8.2.2. SGV-II algorithm’s framework
5.8.2.3. Intensification using VNS
5.8.2.4. Termination criteria
5.9. Experiments
5.9.1. Test problems
5.9.2. Experimental setup
5.9.3. Performance metrics
5.10. Results and discussion
5.11. Case study
5.11.1. Sensitivity analysis
5.12. Summery
Chapter VI: Conclusion & Future Research
6.0. Chapter purpose and outline
6.1. Concluding comments
6.3.1. General conclusion
6.3.2. Inspection planning problem
6.3.3. Hub Location problem
6.2. Future research directions
