Production Systems and Supply Chain Management in Emerging Countries: Best Practices
Springer Berlin (Verlag)
978-3-642-26003-2 (ISBN)
Gonzalo Mejía is an Associate Professor at the Department of Industrial Engineering of the Universidad de los Andes, in Bogotá Colombia. He teaches at both the undergraduate and graduate levels. He is also the Director of the Production and Logistics Research Group of the same Department. He obtained his Bs and MSc degrees from the Department of Mechanical Engineering at the Universidad de los Andes and his PhD degree from the Department of Industrial Engineering at Lehigh University (USA). His main research interests are production planning, scheduling and logistics. He has published his works on important journals and on a number of conferences worldwide. He is Board Member of the International Foundation of Production Research (IFPR) and active member of the Production and Operations Management Society (POMS) and of the Institute of Industrial Engineers (IIE). Nubia Velasco, Ph.D. Holds a Ph.D. (2006) in Applied Production and Automation (in French, Automatique et Productique Appliquée at the Université Nantes in France. Currently she is an Associate Professor of Industrial Engineering at the Universidad de los Andes. Her research interests include evolutionary optimization, metaheuristics and optimization applied to logistics, and particularly, to the vehicle routing problem and health care systems.
Operation Management.- Logistics Planning.- Production Planning and Scheduling.- Case Study in SME´s.
Erscheint lt. Verlag | 7.6.2012 |
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Zusatzinfo | X, 282 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 583 g |
Themenwelt | Informatik ► Weitere Themen ► CAD-Programme |
Technik | |
Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
Schlagworte | 5th International Conference on Production Researc • 5th International Conference on Production Research (ICPR) • Balanced Scorecard • Engineering Economics • Lean Production • logistics system • Produktionsmanagement • Produktionsplanung • SCORmodel • Statistical Process Control • study case |
ISBN-10 | 3-642-26003-9 / 3642260039 |
ISBN-13 | 978-3-642-26003-2 / 9783642260032 |
Zustand | Neuware |
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