Optimization and Logistics Challenges in the Enterprise

I Process Industry.- Challenges in Enterprise Wide Optimization for the Process Industries.- Multi-Product Inventory Logistics Modeling in the Process Industries.- Modeling and Managing Uncertainty in Process Planning and Scheduling.- A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity.- II Supply Chain and Logistics Design.- An Enterprise Risk Management Model for Supply Chains.- Notes On Using Optimization And DSS Techniques to Support Supply Chain And Logistics Operations.- On the Quadratic Programming Approach for Hub Location Problems.- Nested Partitions and Its Applications to the Intermodal Hub Location Problem.- III Supply Chain Operation.- Event-Time Models for Supply Chain Scheduling.- A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demand.- Logic-based MultiObjective Optimization for Restoration Planning.- IV Networking and Transportation.- The Aircraft Maintenance Routing Problem.- The Stochastic Vehicle Routing Problem for Minimum Unmet Demand.- Collaboration in Cargo Transportation.- Communication Models for a Cooperative Network of Autonomous Agents.