Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management

Andreas Fink, Franz Rothlauf (Herausgeber)

Buch | Hardcover
XII, 278 Seiten
2009 | 2009
Springer Berlin (Verlag)
978-3-540-69024-5 (ISBN)

Lese- und Medienproben

Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management -
160,49 inkl. MwSt
This is a selection of applications of CI methods for transport, logistics, and supply chain management problems. The book covers the state-of-the-art in CI methods in these fields and should aid the application and development of more efficient methodology.

Logistics and supply chain management deal with managing the ?ow of goods or services within a company, from suppliers to customers, and along a supply chain where companies act as suppliers as well as customers. As transportation is at the heart of logistics, the design of tra?c and transportation networks combined with the routing of vehicles and goods on the networks are important and demanding planning tasks. The in?uence of transport, logistics, and s- ply chain management on the modern economy and society has been growing steadily over the last few decades. The worldwide division of labor, the conn- tion of distributed production centers, and the increased mobility of individuals lead to an increased demand for e?cient solutions to logistics and supply chain management problems. On the company level, e?cient and e?ective logistics and supply chain management are of critical importance for a company's s- cessanditscompetitiveadvantage. Properperformanceofthelogisticsfunctions can contribute both to lower costs and to enhanced customer service. Computational Intelligence (CI) describes a set of methods and tools that often mimic biological or physical principles to solve problems that have been di?cult to solve by classical mathematics. CI embodies neural networks, fuzzy logic, evolutionary computation, local search, and machine learning approaches. Researchersthat workinthis areaoften comefromcomputer science,operations research,or mathematics, as well as from many di?erent engineering disciplines. Popular and successful CI methods for optimization and planning problems are heuristic optimization approaches such as evolutionary algorithms, local search methods, and other types of guided search methods.

Traffic and Transport Networks.- Combined Genetic Computation of Microscopic Trip Demand in Urban Networks.- Genetically Optimized Infrastructure Design Strategies in Degradable Transport Networks.- Genetic Algorithm for Constraint Optimal Toll Ring Design.- Real Time Identification of Road Traffic Control Measures.- Simultaneous Airline Scheduling.- Vehicle Routing.- GRASP with Path Relinking for the Capacitated Arc Routing Problem with Time Windows.- A Scatter Search Algorithm for the Split Delivery Vehicle Routing Problem.- Stochastic Local Search Procedures for the Probabilistic Two-Day Vehicle Routing Problem.- The Oil Drilling Model and Iterative Deepening Genetic Annealing Algorithm for the Traveling Salesman Problem.- Online Transportation and Logistics Using Computationally Intelligent Anticipation.- Supply Chain Management.- Supply Chain Inventory Optimisation with Multiple Objectives: An Industrial Case Study.- Decomposition of Dynamic Single-Product and Multi-product Lotsizing Problems and Scalability of EDAs.- Hybrid Genetic Algorithms for the Lot Production and Delivery Scheduling Problem in a Two-Echelon Supply Chain.

Erscheint lt. Verlag 13.3.2009
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XII, 278 p. 91 illus.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 602 g
Themenwelt Technik Fahrzeugbau / Schiffbau
Technik Maschinenbau
Schlagworte Computational Intelligence • Engineering Economics • Evolution • evolutionary algorithm • evolutionary computation • Genetic Algorithm • Genetic algorithms • linear optimization • logistics • neural network • Optimization • Production • Scheduling • Transportation
ISBN-10 3-540-69024-7 / 3540690247
ISBN-13 978-3-540-69024-5 / 9783540690245
Zustand Neuware
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