Optimization and Logistics Challenges in the Enterprise (eBook)

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2009 | 2009
XVI, 431 Seiten
Springer US (Verlag)
978-0-387-88617-6 (ISBN)

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In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified. In order for many industries to survive and succeed, they need to develop highly effective coordination between supply chain partners, dynamic collaborative and strategic alliance relationships, and efficient logistics and supply chain network designs. Consequently, in the past decade, there has been an explosion of interest among academic researchers and industrial practitioners in innovative supply chain and logistics models, algorithms, and coordination policies. Mathematically distinct from classical supply chain management, this emerging research area has been proven to be useful and applicable to a wide variety of industries. This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise.


In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified. In order for many industries to survive and succeed, they need to develop highly effective coordination between supply chain partners, dynamic collaborative and strategic alliance relationships, and efficient logistics and supply chain network designs. Consequently, in the past decade, there has been an explosion of interest among academic researchers and industrial practitioners in innovative supply chain and logistics models, algorithms, and coordination policies. Mathematically distinct from classical supply chain management, this emerging research area has been proven to be useful and applicable to a wide variety of industries. This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise.

Preface 7
Contents 10
List of Contributors 12
Process Industry 15
Challenges in Enterprise-wide Optimization for the Process Industries 16
Multiproduct Inventory Logistics Modeling in the Process Industries 73
Modeling and Managing Uncertainty in Process Planning and Scheduling 108
A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity 156
Supply Chain and Logistics Design 186
An Enterprise Risk Management Model for Supply Chains 187
Notes on using Optimization and DSS Techniques to Support Supply Chain and Logistics Operations 200
On the Quadratic Programming Approach for Hub Location Problems 220
Nested Partitions and Its Applications to the Intermodal Hub Location Problem 238
Supply Chain Operation 261
Event-Time Models for Supply Chain Scheduling 262
A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demand 283
Logic-based Multiobjective Optimization for Restoration Planning 311
Networking and Transportation 331
The Aircraft Maintenance Routing Problem 332
The Stochastic Vehicle Routing Problem for Minimum Unmet Demand 354
Collaboration in Cargo Transportation 377
Communication Models for a Cooperative Network of Autonomous Agents 414

Erscheint lt. Verlag 17.6.2009
Reihe/Serie Springer Optimization and Its Applications
Zusatzinfo XVI, 431 p.
Verlagsort New York
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik Bauwesen
Technik Maschinenbau
Wirtschaft Betriebswirtschaft / Management Logistik / Produktion
Wirtschaft Betriebswirtschaft / Management Planung / Organisation
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte ED • Environment • Industrie • logistics • Management • Model • Modeling • Optimization • Planning • programming • Simulation • SOIA • Transport
ISBN-10 0-387-88617-6 / 0387886176
ISBN-13 978-0-387-88617-6 / 9780387886176
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