Abstract
The instruction of resources in logistic systems in order to ensure an effective as well as efficient usage is a very sophisticated task. At lot of data and requirements have to be considered simultaneously. For this reason computerized decision support (Makowski 1994) is strongly recommended (Bramel and Simchi-Levi 1997; Crainic and Laporte 1998).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ausiello G, Feuerstein E, Leonardi S, Stougie L, Talamo M (2001) Algorithms for the On-Line Travelling Salesman. Algorithmica 29: 560–581
Bertsimas DJ, van Ryzin G (1989) The Dynamic Traveling Repairman Problem. MIT Sloan School Working Paper No. 3036-89-MS
Bianchi L, Birattari M, Chiarandini M, Manfrin M, Mastrolilli M, Paquete L, Rossi-Doria O, Schiavinotto T (2005) Hybrid Metaheuristics for the Vehicle Routing Problem with Stochastic Demands. Technical Report No. IDSIA-0605
Bramel J, Simchi-Levi D (1997) The Logic of Logistics. Springer, New York
Brotcorne L, Laporte G, Semet F (2003) Ambulance location and relocation models. European Journal of Operational Research 147: 451–463
Chen Z-L, Xu H (2006) Dynamic Column Generation for Dynamic Vehicle Routing with Time Windows. Transportation Science 40(1): 74–88
Clifton C, Iyer A, Uzsoy R (2002) A Prototype Integrated Transaction Data Analysis and Visualization Environment for the Transportation, Distribution and Logistics Sector. Purdue University, Indiana, USA
Crainic T, Laporte G (1997) Planning models for freight transportation. European Journal of Operational Research 97: 409–438
Crainic T, Laporte G (1998) Fleet Management and Logistics.
Kluwer Fiat A, Woeginger G J (1998) Online Algorithms — The State of the Art. Springer, Berlin Heidelberg
Fleischmann B, Gnutzmann S, Sandvoß E (2004) Dynamic Vehicle Routing Based on Online Traffic Information. Transportation Science 38(4): 420–433
Gayialis S, Tatsiopoulos I (2004) Design of an IT-driven decision support system for vehicle routing and scheduling. European Journal of Operational Research 152: 382–298
Gendreau M, Guertin F, Potvin J-Y, Taillard E (1999) Parallel tabu search for real-time vehicle routing and dispatching. Transportation Science 33(4): 381–390
Gendreau M; Potvin J-Y (1998) Dynamic Vehicle Routing and Dispatching. In: Crainic T G; Laporte G.: Fleet Management and Logistics: 115–126
Ghiani G, Guerriero F, Laporte G, Musmanno R (2003) Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies. European Journal of Operational Research 151(1): 1–11
Gutenschwager K, Niklaus C, Voß S (2004) Dispatching of an Electric Monorail System: Applying Metaheuristics to an Online Pickup and Delivery Problem. Transportation Science 38(4): 434–446
Hiller B, Krumke S O, Rambau J (2005) Reoptimisation Gaps versus Model Erros in Online-Dispatching of Service Units for ADAC. Submitted for publication in Discrete Applied Mathematics
Holzer M (2003) Hierarchical Speed-up Techniques for Shortest-Path Algorithms. Diploma Thesis, University of Konstanz, Germany
Ibaraki T, Nonobe K, Yagiura M (2005) Metaheuristics: Progress as Real Problem Solvers. Springer, Heidelberg
Irani, S, Lu, X, Regan, A (2004) On-line Algorithms for the dynamic traveling repairman problem. Journal of Scheduling 7: 243–258
Jaillet P (1988) A Priori Solution of a Traveling Salesman Problem in Which a Random Subset of the Customers Are Visited, Operations Research, 36(6): 929–936
Jaillet P, Odoni A R (1988) The Probabilistic Vehicle Routing Problem. In: Golden B L, Assad A A (eds.) Vehicle Routing: Methods and Studies, North-Holland: 293–318
Jensen M T (2001) Robust and Flexible Scheduling with Evolutionary Computation. PhD Dissertation, University of Aarhus, Denmark
Kopfer H, Schönberger J (2006) Adaptive Optimierung: Selbststeuernde Anpassung einer operativen Transportkostenoptimierung an strategische Qualitätsziele. In: Jacquemin M, Pipernik R, Sucky E (eds.) Quantitative Methoden der Logistik und des Supply Chain Management, Verlag Dr. Kovac: 321–337
Krumke, S (2001) Online-Optimisation — Competitive Analysis and Beyond. Habilitation Thesis, Technical University Berlin, Germany.
Lackner, A (2004) Dynamische Tourenplanung mit ausgewählten Metaheuristiken. Cuvilier Verlag Göttingen.
Makowski, M. (1994) Design and Implementation of Model-based Decision Support Systems. Working Paper WP-94-86, IIASA
Michalewicz Z, Fogel D B (2004) How to Solve It: Modern Heuristics. 2nd Edition. Springer, Heidelberg
MitroviĆ-MiniĆ S, Krishnamurti R, Laporte G (2004) Double-horizon based heuristic for the dynamic pickup and delivery problem with time windows. Transportation Research B 38: 635–655
Pankratz G (2002) Speditionalle Transportdisposition. DUV
Psaraftis H (1988) Dynamic vehicle routing problems. In: Golden B L, Assad A A (eds) Vehicle Routing: Methods and Studies, North-Holland: 223–248
Psaraftis H (1995) Dynamic vehicle routing: status and prospects. Annals of Operations Research 61: 143–164
Sandvoss E (2004) Dynamische Tourenplanung auf Basis von Online-Verkehrs-Informationen. ProBusiness
Savelsbergh M, Sol M (1998) DRIVE: Dynamic Routing of Independent Vehicles. Operations Research 46:474–490
Schönberger J, Kopfer H (2007) On Decision Model Adaptation in Online Optimisation of a Transport System. Accepted for publication in the proceedings of the conference Supply Networks and Logistics Management — Decision Support, Information Systems and OR Tools
Schönberger J (2005) Operational Freight Carrier Planning. Springer
Séguin R, Potvin J-Y, Gendreau M, Crainic T G, Marcotte P (1997) Real-time decision problems: an operational research perspective. Journal of the Operational Research Society 48(2):162–174
Slater A (2002) Specification for a dynamic vehicle routing and scheduling system. International Journal of Transport Management 1: 29–40
Solomon M (1987) The vehicle routing and scheduling problems with time window constraints. Operations Research 35(2): 254–265
Williams H P (1999) Model Building in Mathematical Programming. 4th Edition. Wiley, Chichester
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Schönberger, J., Kopfer, H. (2007). Autonomous Decision Model Adaptation and the Vehicle Routing Problem with Time Windows and Uncertain Demand. In: Hülsmann, M., Windt, K. (eds) Understanding Autonomous Cooperation and Control in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47450-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-540-47450-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-47449-4
Online ISBN: 978-3-540-47450-0
eBook Packages: EngineeringEngineering (R0)