The aim of this thesis is to provide to the governmental decision-maker/user, an instrument that can assist him/her in improving the infrastructure investment decision in the economical, environmental and sustainable aspects. This means that, the Return on Investment (ROI) of the concerned transport infrastructure, satisfying environmental and sustainable constraints must be positive, and corresponding to an optimal investment cost. The decision support system can be applied in two dimensions. One dimension is where the real negotiation process is occurring between private and public stakeholders, called “real time negotiation process”. The second dimension is where the negotiation process is impelled by the user (public part) without private stakeholders interaction (but with interaction through simulation), called “virtual negotiation process”.The simulation and local optimization techniques, in phase with agent technology, used in the “virtual negotiation process” enable us to achieve a certain amount of alternative decisions to the primary/suggested decision to be evaluated.
Contents
1. INTRODUCTION
1.1 Background
1.2 Research Questions
1.3 Contribution
1.4 Methodology
1.5 Outcome
2. GOVERNMENTAL INFRASTRUCTURE POLICY
2.1 Government and other stakeholders
2.2 Transport infrastructure investment and regulation
2.2.1 Use of Key Performance Indicators
2.2.2 Governmental Key Performance Indicators
2.3 Some key characterizations of transport infrastructure
2.3.1 Quality criteria
2.3.2 Quantitative criteria
2.3.3 Safety criteria
2.3.4 Sustainable criteria
3. SUPPLY CHAIN POLICIES
3.1 Supply chain management
3.2 Supply chain interactions with the government
3.3 Supply chain KPI definitions
4. AN INTELLIGENT DECISION SUPPORT SYSTEM-IDSST2I
4.1 Development of IDSST2I, based on a potential real application
4.2 Abstractions
4.2.1 Freight concern
4.2.2 The elaboration of the primary decision
4.2.3 Supply chain concern
4.2.4 The supply chain strategy
4.2.5 Variable or full costs
4.2.6 The web portal
4.3 Modeling Process
4.3.1 Mathematical modeling approach
4.3.2 Computational simulation and optimization model
4.3.3 Handling of pitfalls in the modeling process
4.4 System components
4.4.1 Web portal component
4.4.2 Database component
4.4.3 Simulator component (knowledge base component)
4.5 Case study: IDSST2I in the framework/context of East-West intermodal corridor
4.5.1 East-West presentation
4.5.2 Illustrative scenario
4.5.3 IDSST2I in the East-West project secretariat
5. TECHNOLOGY DISCUSSIONS
5-1 the current IDSST2I as a knowledge based system
5-2 why simulation, precisely discrete event simulation combined with optimization?
5-3 Description of how the variables or parameters are manipulated either randomly or not? Which probability distribution is used?
5.4 who are the agents? How agents are communicating each other?
5.4.1 Agent models
5.4.2 Communication models
5-5 what is/are the events, leading to possible system failure?
5-5-1 Design Models
6. RECOMMENDATIONS AND CONCLUSIONS
7. FUTURE WORK
8. APPENDIX: Mathematical Model
9. REFERENCES
Author: Jean-Yves Yamben
Source: Blekinge Institute of Technology
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