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This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise. It is a "one-stop shop" to learn about industrial problems and logistics challenges.

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In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified. In order for many industries to survive and succeed, they need to develop highly effective coordination between supply chain partners, dynamic collaborative and strategic alliance relationships, and efficient logistics and supply chain network designs. Consequently, in the past decade, there has been an explosion of interest among academic researchers and industrial practitioners in innovative supply chain and logistics models, algorithms, and coordination policies. Mathematically distinct from classical supply chain management, this emerging research area has been proven to be useful and applicable to a wide variety of industries. This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise.

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Preface.- List of Contributors.- Part I: Process Industry.- 1. Challenges in Enterprisewide Optimization for the Process Industries (Ignacio E. Grossmann, Kevin C. Furman).- 2. Multiproduct Inventory Logistics Modeling in the Process Industries (Danielle Zyngier, Jeffrey D. Kelly).- 3. Modeling and Managing Uncertainty in Process Planning and Scheduling (Marianthi Ierapetritou, Zukui Li).- 4. A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity (Tiravat Assavapokee, Matthew J. Realff, Jane C. Ammons).- Part II: Supply Chain and Logistics Design.- 5. An Enterprise Risk Management Model for Supply Chains (John M. Mulvey, Hafize G. Erkan).- 6. Notes of using Optimization and DSS Techniques to Support Supply Chain and Logistics Operations (Tan Miller).- 7. On the Quadratic Programming Approach for Hub Location Problems (Xiaoz He, Anthony Chen, Wanpracha Art Chaovalitwongse, Henry Liu).- 8. Nested Partitions and its Applications to the Intermodal Hub Location Problem (Weiwei Chen, Liang Pi, Leyuan Shi).- Part III: Supply Chain Operation.- 9. Event-Time Models for Supply Chain Scheduling (Ömer S. Benli).- 10. A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demand(Gokhan Metan, Aurélie Thiele).- 11. Logic-based Multiobjective Optimization for Restoration Planning (Jing Gong, Earl E. Lee, John E Mitchell, William A. Wallace).- Part IV: Network and Transportation 12. The Aircraft Maintenance Routing Problem (Zhe Liang, Wanpracha Art Chaovalitwongse).- 13. The Stochastic Vehicle Routing Problem for Minimum Unmet Demand (Zhihong Shen, Fernando Ordó¤ez, Maged M. Dessouky).- 14. Collaboration in Cargo Transportation (Richa Agarwal, Özlem Ergun, Lori Houghtalen, Okan Orsan Ozener).- 15. Communication Models for a Cooperative Network of Autonomous Agents (Ashwin Arulselvan, Clayton W. Commander, Michael J. Hirsch, Panos M. Pardalos).

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