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Reconstruction of delivery positions in the city of Celje, Slovenia

Treść / Zawartość
Identyfikatory
Warianty tytułu
DE
Wiederaufbau von dem lieferposition in stadt Celje, Slowenien
Języki publikacji
EN
Abstrakty
EN
The paper addresses the problem of the reconstruction and allocation of delivery positions in the urban area. The aim is to achieve the optimal reorganization of urban freight transport in old town core in the municipality of Celje. Optimal allocation relies on optimization based on the Monte Carlo simulation and represents a first stage of a two-stage optimization approach to re-design the existing urban freight transport. The number of optimal delivery positions is required to be as minimal as possible, which can still assure a maximal service area within the prescribed radius, while keeping the minimal walking distances of delivery personnel between the nearest delivery position and the customer’s physical location. The main issues of the used heuristic allocation algorithm and the presentation of calculated results are provided. In the near future, the calculated delivery positions are going to be used for the purpose of physical implementation in order to improve the existing delivery transport.
DE
Der Artikel behandelt das Problem der Wiederaufbau und Allokation von den Lieferung Positionen in einem städtischen Gebiet. Der Zweck ist die optimale Reorganisation des städtischen Güterverkehrs im alten Stadtkern in der Gemeinde Celje zu Erreichen. Die optimale Allokation basiert auf der Optimierung auf Basis der Monte-Carlo-Simulationen und stellt die erste Stufe einer zweistufigen Optimierung Verfahren zur Re-Designs der bestehenden städtischen Güterverkehrs. Die Anzahl der optimalen Lieferpositionen sollte so wenig wie möglich sein, aber trotzdem einen maximalen Service-Bereich innerhalb des vorgeschriebenen Radius gewährleisten. Gleichzeitig sollte die Entfernung zwischen den nächstgelegenen Lieferpositionen und Kunden Positionen kleinstmöglich sein. Die wichtigsten Themen des verwendeten Heuristic Zuordnungsalgorithmus und die Darstellung der berechneten Ergebnisse sind gegeben. Die Standorte der berechneten Lieferung Positionen werden zum Zwecke der physikalischen Implementierung genutzt, um den bestehenden Güterverkehr zu verbessern
Czasopismo
Rocznik
Strony
11--23
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
autor
autor
  • University of Maribor, Faculty of logistics Mariborska 7, Celje, Slovenia
autor
  • University of Maribor, Faculty of logistics Mariborska 7, Celje, Slovenia
  • University of Maribor, Faculty of logistics Mariborska 7, Celje, Slovenia
autor
  • University of Maribor, Faculty of logistics Mariborska 7, Celje, Slovenia
autor
  • University of Maribor, Faculty of logistics Mariborska 7, Celje, Slovenia
Bibliografia
  • 1. Banks, J. Handbook of Simulation, Principles, Methodology, Advances, Applications, and Practice. USA: John Wiley & Sons.1998.
  • 2. Benjelloun, A. & Crainiac, T.G. Trends, Challenges and Perspectives in City Logistics. Buletinul AGIR. 2009. Vol. 4. P. 45-51.
  • 3. Better, M. & Glover, F. & Kochenberger, G. & Wang, H. Simulation Optimization: Applications in Risk Management. International Journal of Information Technology & Decision Making. 2008. Vol. 7. No. 4. P. 571-587.
  • 4. Boerkamps, J. & Binsbergen, A. GoodTrip – A new Approach for Modelling and Evaluation of Urban Goods Distribution. Delft University of Technology and the Netherlands Research School for Transport. Found on 18.12.2011. Available at: http://www.lth.se/fileadmin/tft/dok/KFBkonf/3boerkampsbinsbergennew.pdf.
  • 5. Church, R.L. & ReVelle, C. The maximal covering location problem. Papers of the regional science association. 1974. Vol. 32. P. 101-118.
  • 6. Daskin S.D. Network and Discrete Location: Models, Algorithms, and Applications. USA: John Wiley & Sons. 1995.
  • 7. Dragan, D. & Kramberger, T. & Lipičnik, M. Monte Carlo Simulation-based Approach to Optimal Bus Stops Allocation in the Municipality of Laško. Promet (Traffic & Transportation). 2011 Vol. 23. No. 4. P. 265-278.
  • 8. Dragan, D. & Kramberger, T.& Lisec, A.& Intihar, M. & Prah, K. Using GIS for the Optimization of Pupils Transportation: The case of Laško Municipality. Logistics and Sustainable transport. 2011. Vol. 2. No 2. P. 35-51.
  • 9. Fu, M.C. Optimization for Simulation: Theory vs. Practice. INFORMS Journal of Computing. 2002. Vol. 14. No 3. P. 192-215.
  • 10. Grava, S. Urban Transportation Systems. NY: McGraw Hill. 2003.
  • 11. Marianov, V. & Serra, D. Location Problems in the Public Sector. Facility Location: Applications and Theory. Heidelberg: Springer. 2004.
  • 12. Megiddo, N. & Zemel, E. & Hakimi, L. The Maximum Coverage Location Problem. SIAM Journal on Algebraic Discrete Methods. 1983. Vol. 4. No 2. P. 253-261.
  • 13. Muñuzuri, J. & Cortés, P. & Onieva, L. & Guadix, J. Estimation of Daily Vehicle Flows for Urban Freight Deliveries. Journal of Urban Planning and Development. 2012. Vol. 138. No 1. P. 43-52.
  • 14. Muñuzuri, J. & Cortes P. & Grosso, R. & Guadix J. Selecting the Location of Minihubs for Freight Delivery in Congested Downtown Areas. Journal of Computational Science. 2012. Vol. 3. No 4. P. 228-237.
  • 15. Newman, P. & Kenworthy J. Sustainability and Cities: Overcoming Automobile Dependence. Washington DC: Island Press. 1999.
  • 16. Ogden, K.W. Truck Movement and Access in Urban Areas. Journal of Transportation Engineerin. Vol. 11. No 1. P. 71-90.
  • 17. Pivo, G. & Carlson, D. & Kitchen, M. & Billen, D. Learning from Truckers about Urban Centers: Truck Drivers' Views on the Planning and design of Urban and Suburban Centers. Journal of architectural and Planning Research. 2002. Vol. 19. No 1. P. 12-29.
  • 18. Rodrigue, J.P. & Comtois, C. & Slack, B. The Geography of Transport Systems. London and New York: Routledge, Taylor & Francis. 2006.
  • 19. Serra, D. & Marianov, V. New Trends in Public Facility Location Modeling. UPF Economics and Business Working Paper. 2004. No. 755. P. 1-48.
  • 20. Xi, X. & Sioshansi, R. & Marano V. Optimal Location of Public Electric Vehicle Charging Infrastructure. INFORMS Annual Meeting. October 14-17, 2012, Phoenix, AZ
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b17706d6-d87f-4564-92bd-ae84eb5eedfb
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