----------------------------------------------------------- Process Systems Engineering (PSE) Book Series, Wiley-VCH Edited by Efstratios N. Pistikopoulos, Michael C. Georgiadis and Vivek Dua Process Systems Engineering offers an integrated and interdisciplinary approach towards the development of methodologies and tools for modelling, design, control and optimization of enterprise-wide, process, manufacturing, energy and other such complex systems. A key theme is the systematic management of complexity in systems involving uncertainty across different time and length scales. To address this formidable challenge, the multi-disciplinary expertise of mechanical, control, chemical, molecular and biological engineers, operations researchers, mathematical programming specialists and computer scientists is required. Process Systems Engineering <http://www.wiley-vch.de/publish/en/books/bySubjectCH00/bySubSubjectCH70/3-527-31693-0/?sID=d05b> Volume 3: Supply Chain Optimization (Part I) Volume Editors: Lazaros G. Papageorgiou and Michael C. Georgiadis ISBN: 978-3-527-31693-9 This volume presents an in depth account of recent novel methodologies and algorithmic developments for the simulation, modeling and optimization of integrated supply chains. Emphasis is placed on strategic and tactical Supply Chain planning for the process industries. The book contains high-quality works from leading researchers in the field whose expertise fits within this scope. It is intended for academics, researchers, industry practitioners in supply chain management, who are involved in model-based supply chain activities, across engineering and applied science disciplines, as well as for educational purposes both in academia and industry. * Combining strategic planning and operative planning in the process industries (Josef Kallrath) * Optimal Design and Operational Planning of Responsive Process Supply Chains (Fengqi You and Ignacio E. Grossmann) * Reverse Production Systems – Optimization modeling to support supply chains for product recovery (Tiravat Assavapokee, Matthew J Realff, Jane C. Ammons) * Optimal Design of Supply Chain Networks using Mathematical Programming (Panagiotis Tsiakis, Lazaros G. Papageorgiou, Michael C. Georgiadis) * Bridging the gap between production, finances and risk in supply chain optimization (Luis Puigjaner and Gonzalo Guillιn-Gosαlbez) * Multi-agent framework for modelling and design of supply chain networks (Luis Puigjaner, Gonzalo Guillιn-Gosαlbez, Fernando Daniel Mele) * Design and Planning of Closed Loop Supply Chains (Ana Paula Barbosa-Póvoa, Maria Isabel Gomes Salema, Augusto Q. Novais) * Chemical Supply Chain Redesign (Pavan Kumar Naraharisetti, Iftekhar A. Karimi, Rajagopalan Srinivasan) * Environmentally Conscious Supply Chain Management (Metin Türkay) * A Hybrid Tabu-Branch&Bound Approach for the Solution of Large-scale Supply Chain Management Models (João M. Natali, Peter Chen, Jose M. Pinto) * Enhancement of Oil & Gas Production via Network optimisation (Nort Thijssen, Kuei-Jung Li, Ilse Mittendorff) Process Systems Engineering <http://www.wiley-vch.de/publish/en/books/bySubjectCH00/bySubSubjectCH70/3-527-31906-9/?sID=d05b> Volume 4: Supply Chain Optimization (Part II) Volume Editors: Lazaros G. Papageorgiou and Michael C. Georgiadis ISBN: 978-3-527-31906-0 This volume presents an in depth account of recent novel methodologies and algorithmic developments for the simulation, modeling and optimization of integrated supply chains. Emphasis is placed on tactical and operational decisions of Supply Chain problems for the process industries. The book contains high-quality works from leading researchers in the field whose expertise fits within this scope. It is intended for academics, researchers, industry practitioners in supply chain management, who are involved in model-based supply chain activities, across engineering and applied science disciplines, as well as for educational purposes both in academia and industry. * The supply chain as a dynamic system (Kendell R. Jillson, Eduardo J. Dozal-Mejorada and B. Erik Ydstie) * A Real Time Approximate Dynamic Programming Approach: A High Dimensional Supply Chain Application (Nikolaos E. Pratikakis, Matthew J. Realff and Jay H. Lee) * Supply Chains of High Value Low Volume Products (Rui T. Sousa, Nilay Shah, Lazaros G. Papageorgiou) * Robust Supply Chain Operations through Rescheduling (Arief Adhitya, Rajagopalan Srinivasan, Iftekhar A. Karimi) * Solving multiple vehicle pickup and delivery problems in multisite systems by a rigorous optimization approach (Rodolfo Dondo, Carlos A. Méndez, Jaime Cerdá) * Supply Chain tactical optimisation in the fruit industry (G. L. Masini, A. M. Blanco, N. Petracci, J. A. Bandoni) * Short-Term Scheduling of Batch and Continuous Processes (Munawar A. Shaik and Christodoulos A. Floudas) * Modeling and Optimization of Refinery Operations Considering Uncertainty (Zhenya Jia, Marianthi G. Ierapetritou) * Production and Inventory Planning for Stock Preparation in the Tissue paper Industry (Joakim Westerlund, Jarkko Kaplin, Mattias Hastbacka, Tapio Westerlund) * Production Planning in Process Systems Engineering (Charles Sung and Christos T. Maravelias) ******************************************************** Professor Stratos Pistikopoulos, PhD CEng FIChemE Director Centre for Process Systems Engineering Department of Chemical Engineering Imperial College London Roderic Hill Building South Kensington Campus, London SW7 2AZ,UK tel - +44-20-75946620 (direct) +44-20-75946627 (Ms. Cristina Romano, [log in to unmask]) mob - +44-7803-205551 fax - + 44-20-75941129 / +44-20-75946606 email - [log in to unmask] http://www.imperial.ac.uk/people/e.pistikopoulos http://www.imperial.ac.uk/cpse ----------------------------------------------------------- Process Systems Engineering <http://www.wiley-vch.de/publish/en/books/bySubjectEE00/bySubSubjectEE30/3-527-31691-4/?sID=d05b> Volume 1: Multi-Parametric Programming Process Systems Engineering <http://www.wiley-vch.de/publish/dt/books/newTitles200702/3-527-31692-2/?sID=cbf2> Volume 2: Multi-Parametric Model-Based Control ********************************************************