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Simulation-Based Case Studies in Logistics: Education and Applied Research de Yuri Merkuryev

Simulation-Based Case Studies in Logistics: Education and Applied Research

Editat de Yuri Merkuryev, Galina Merkuryeva, Miquel ANgel Piera, Antoni Guasch Petit
en Limba Engleză Paperback – 13 oct 2010
“Simulation-based Case Studies in Logistics” presents an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems. The book describes and illustrates different approaches to developing simulation models at the right abstraction level to be used efficiently by engineers when dealing with strategic, tactical or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply chain management are discussed, based on the results of applied research, covering application areas such as production logistics, warehousing, transportation, material flow management, and hospital logistics. “Simulation-based Case Studies in Logistics” is an essential text for postgraduate engineering students and researchers working in the area of logistics modeling and simulation.
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Specificații

ISBN-13: 9781849968256
ISBN-10: 184996825X
Pagini: 256
Ilustrații: XXIV, 232 p.
Greutate: 0.37 kg
Ediția:Softcover reprint of hardcover 1st ed. 2009
Editura: SPRINGER LONDON
Colecția Springer
Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

Factory Railway System.- Manufacturing System Planning and Scheduling.- Supply Chain Dynamics.- Pharmaceutical Distribution Network.- Hospital Resource Management.- Supply Chain Cyclic Planning and Optimisation.- Flexible Manufacturing Systems.- Fresh-Food Supply Chain.- Warehouse Order Picking Process.- Material Handling System.- Vessel Traffic in the Strait of Istanbul.- Airport Logistics Operations.

Notă biografică

Dr Yuri Merkuryev is full professor of the Institute of Information Technology and head of the Department of Modelling and Simulation at Riga Technical University.  Dr Merkuryev is also president of the Latvian Simulation Society and director of the Latvian Centre of the McLeod Institute of Simulation Science.
Dr Galina Merkuryeva is full professor of the Institute of Information Technology at the Department of Modelling and Simulation, Riga Technical University and honorary visiting professor of the University of Ljubljana, Slovenia, as well as vice-director of the Latvian Centre of the McLeod Institute of Simulation Science. Dr Merkuryeva has previously worked as an IT consultant for SIA Baldis and served as a technical expert on a project evaluation funded by the Latvian Ministry of Education and Science, and Ministry of Economics.
Dr Miquel Angel Piera is a professor and director of Aeronautical Studies at the Universitat Autònoma de Barcelona (UAB) and director of the International Mediterranean & Latin American Council of Simulation.  Dr Piera is also director of the McLeod Institute of Simulation Science and co-director of LogiSim, a technological transfer centre.
Dr Antoni Guasch is professor of the Universitat Politecnica de Catalunya and co-director of LogiSim, a technological transfer centre.

Textul de pe ultima copertă

Simulation-based Case Studies in Logistics presents an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems. The book describes and illustrates different approaches to developing simulation models at the right abstraction level to be used efficiently by engineers when dealing with strategic, tactical or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply chain management are discussed, based on the results of applied research, covering application areas such as production logistics, warehousing, transportation, material flow management, and hospital logistics.
Simulation-based Case Studies in Logistics is an essential text for postgraduate engineering students and researchers working in the area of logistics modeling and simulation.

Caracteristici

Provides an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems Extensive case studies allow students to follow and integrate the typical phases of a simulation-based study that leads to problem-solving Includes supplementary material: sn.pub/extras