Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools in process systems engineering and applications from the chemical, energy, molecular, biomedical and other areas.

Autorentext
Michael C. Georgiadis is Head of the Process System Engineering Laboratory at the PSE, Imperial College London and is the manager for academic business development of Process Systems Enterprise Ltd in Thessaloniki, Greece and is also an adjunct Associate Professor in the University of Western Macedonia, Greece. He obtained his Chemical Engineering degree from Aristotle University of Thessaloniki, Greece and a MSc and PhD from Imperial College London. Dr. Georgiadis has authored/ co-authored over 55 papers and two books. He has a long experience in the management and participation of more than 20 collaborative research contracts and projects.

Lazaros G. Papageorgiou is a Reader in Chemical Engineering in the Department of Chemical Engineering at University College London. He graduated with a degree in Chemical Engineering from the National Technical University of Athens, Greece and a gained a PhD in Chemical Engineering from Imperial College London. Previously Dr. Papageorgiou was employed as an adjunct Assistant Professor in the Department of Production Engineering and Management at the Technical University of Crete, Greece, and as a Research Associate at the Centre for Process Systems Engineering, a joint centre between Imperial College London and University College London. He has authored/ co-authored over 80 refereed research publications.

Process Systems Enterprise (PSE), provider of the gPROMS advanced process simulation and modelling environment, is the 2007 winner of the Royal Academy of Engineering's MacRobert Award. The award, the UK's most prestigious for engineering, recognises the successful development of innovative ideas. The PSE team was presented with the MacRobert gold medal by HRH Prince Philip.

Klappentext
This volume and the following Volume 4 present 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. Management of supply chains is a complex task mainly due to the large size of the physical supply network and inherent uncertainties. Depending on the level, one or more of the following decisions are taken: - Number, size and location of manufacturing sites, warehouses and distribution centres - Network connectivity - Production decisions - Management of inventory levels and replenishment policies - Transportation decisions - Sustainability aspects 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 Process Systems Engineering (PSE) Series offers an integrated and interdisciplinary approach towards the development of methodologies and tools for modelling, design, control and optimisation 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.

Inhalt
Bridging the gap between production, finances and risk in supply chain optimization

Multi-agent framework for modelling and design of supply chain networks"

Environmentally Conscious Supply Chain Management

Optimal Design and Operational Planning of Responsive Process Supply Chains

Reverse Production Systems - Optimization modeling to support supply chains for product recovery.

Optimal Design of Supply Chain Networks using Mathematical Programming

Design and Planning of Closed Loop Supply Chains

Combining strategic planning and operative planning in the process industries

Chemical Supply Chain Redesign

A Hybrid Tabu-Branch & Bound Approach for the Solution of Large-scale Supply Chain Management Models

Enhancement of Oil & Gas Production via Network optimisation