چكيده به لاتين
In recent world according to their different nature, communication structures and potential properties that distinguish them from each. Over time the complexity of systems by considering the hierarchy and different levels of demand’s services Significant increase the connections and transportation in whole logistic systems. For this reason research and analysis in facility location problems by considering the disruption, passengers’ behavior and that's changes over time is one of the most important operations research fields. So developing the efficient mathematical model can be effective to design a network due to the world's reality to minimize the fixed cost, operational cost, transportation cost, maintenance and repair cost, re-setup cost, re-opening or temporary closing costs of facilities under disruption and passengers’ behavioral to select the facilities in multi-modal network in the way to maximize the profit of transportation network and it's changes over time. So it can be concluded that the modeling and solving the hub location problem as dynamic hierarchical network under disruption by considering the passengers’ behavioral (operational and strategic factors) to select the facilities it is particular importance.
Therefore this thesis designed a new MIP dynamic hierarchical passenger hub model based on the 6 scenarios including a single period model without and with disruption (scenario 1 and 2), a multi-period model without and with disruption (scenario 3 and 4), and multi-period model without and with disruption by considering the passengers’ behaviors (scenario 5 and 6). In scenario 4 the main configuration of the multi-period model under disruption developed, so that the multi-period multi-modal model under disruption by considering the maximum passengers’ utility function in competitive environment for both of the ground-airport transportation expanded in scenario 6. After that two-stage heuristic algorithm has been developed based on the exact method in each stage according to the Monte Carlo simulation by the real system performance with real probability of hub nodes and hub edges disruption in each period over planning horizon.
The model validated according to the more than 220000 run in feasible space as a single and multiple period with or without any disruption by considering the passenger’s behavioral based on the maximum CPU time (12h) for each of the numerical examples of CAB dataset and Iran's airport-railway network (ARWN) over planning horizon. For single period without disruption, 4 CAB instances developed. 228 CAB and ARWN instances investigated for a multi-period model by passenger’s behavioral under disruption. Then based on the simulation, 21640 and 164160 run implemented under disruption as a multi-period model for long-term forecasting the substitutions, enable, disable, re-open, re-setup and temporary closing the hub nodes and hub edges, the effective remove to prevent the additional cost imposed to the system, the effect of administration before disruption, defining the potential hubs or edges, the effect of variation on profit based on the disruption percentage and price increasing. So that, the flexible network without disruption-under partial (continuous) disruption-full disruption (0-1) based on the results and sensitivity analysis on the crucial parameters designed. The managerial insights and future suggestions presented for the flexible new dynamic hierarchical passenger hub network which has been designed over planning horizon.
