A unique, practical guide to the power of simulation in the art of logistics management. Authors show better ways to manage complex logistics systems than seat of the pants decision making, and argue that information systems people must provide management with simulations that are timely and easily understood. In doing so, Nersesian and Swartz demonstrate the inadequacy of conventional quantitative methods in dealing with complex logistical systems, and show how simulation can address various logistics management issues. Important reading for logistics managers and computer staffs and for educators seeking better ways to make logistical decisions.
Sprache
Verlagsort
Verlagsgruppe
Bloomsbury Publishing Plc
Zielgruppe
Für Beruf und Forschung
Interest Age: From 7 to 17 years
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-0-89930-985-9 (9780899309859)
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Schweitzer Klassifikation
ROY L. NERSESIAN is Associate Professor in the Management Department at Monmouth University, New Jersey, and a maritime logistics consultant. He holds degrees in physics and business from Rensselaer Polytechnic Institute and the Harvard Business School. His previous Quorum books include Computer Simulation in Business Decision Making (1989), Corporate Planning, Human Behavior, and Computer Simulation (1990), and Computer Simulation in Financial Risk Management (1991).
G. BOYD SWARTZ is Professor of Mathematics and Chair of the Mathematics Department at Monmouth University. He holds advanced degrees in electrical engineering and mathematics and is also a consultant to government, business, and education on matters involving computer simulations.
Introduction
The Normality of Things
When to Reorder and How Much?
Determining Warehouse Capacity
How Many Warehouse Docks?
How Many Trucks Should be Owned?
Tankers Serving a Pipeline
Selecting Aircraft
Just-In-Case Inventory for Delivery
Push Manufacturing
Pull Manufacturing
Combining Warehouses
Factory Inventory
The Economic Run Length
Siting an Ambulance Station
Selected Bibliography
Index