IDEAS home Printed from https://ideas.repec.org/a/ksp/journ6/v3y2016i1sp21-29.html
   My bibliography  Save this article

Evaluating Current Logistics Facilities with Analytical Hyepapchy Process (AHP) and Geographical Information Systems (GIS)

Author

Listed:
  • Ramazan DERVÝÞ
  • Mehmet ERBAÞ
  • Zafer A. ÖZTÜRK
  • Pýnar GÜROL

    (Piri Reis University, Turkey.)

Abstract

Logistics facilities which have important position within logistics supply chain are established in order for the demanded goods to be supplied on time, with the minimum cost and in the shortest duration. Given the cost and time factors, the location of such facilities should be selected very carefully and effectively. Especially, a quick settlement in logistics manner is experienced depending on transportation network, work force, proximity to market and raw materials of the times following the industrialization period after establishing the Republic. Nowadays, with the development of transportation and the communication systems as well as technology transportation costs decreased and the facilities and possibilities transport from one place to another increased. For this reason, like the private sector the public institutions and organizations began to shrink, shut down or merge their facilities. This situation was brought to reconsider the existing facilities. The purpose of this study is to evaluate and analyze current six logistics facilities with Analytical Hierarchy Process (AHP) and Geographical Information Systems (GIS). Analyses results will contribute the decision of revising logistics facilities for which are planned to be restructured. Moreover, suggestions are presented for proper ones to continue operating, for improper ones to get closed or transferred to another place.

Suggested Citation

  • Ramazan DERVÝÞ & Mehmet ERBAÞ & Zafer A. ÖZTÜRK & Pýnar GÜROL, 2016. "Evaluating Current Logistics Facilities with Analytical Hyepapchy Process (AHP) and Geographical Information Systems (GIS)," Journal of Economics Bibliography, KSP Journals, vol. 3(1S), pages 21-29, April.
    • Handle: RePEc:ksp:journ6:v:3:y:2016:i:1s:p:21-29
    as

    Download full text from publisher

    File URL: http://www.kspjournals.org/index.php/JEB/article/download/780/837
    Download Restriction: no
    File URL: http://www.kspjournals.org/index.php/JEB/article/view/780/837
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Klose, Andreas & Drexl, Andreas, 2005. "Facility location models for distribution system design," European Journal of Operational Research, Elsevier, vol. 162(1), pages 4-29, April.
    2. Owen, Susan Hesse & Daskin, Mark S., 1998. "Strategic facility location: A review," European Journal of Operational Research, Elsevier, vol. 111(3), pages 423-447, December.
    3. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sauvey, Christophe & Melo, Teresa & Correia, Isabel, 2019. "Two-phase heuristics for a multi-period capacitated facility location problem with service-differentiated customers," Technical Reports on Logistics of the Saarland Business School 16, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    2. Rodolfo Mendoza-Gómez & Roger Z. Ríos-Mercado & Karla B. Valenzuela-Ocaña, 2019. "An Efficient Decision-Making Approach for the Planning of Diagnostic Services in a Segmented Healthcare System," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1631-1665, September.
    3. Rentizelas, Athanasios A. & Tatsiopoulos, Ilias P., 2010. "Locating a bioenergy facility using a hybrid optimization method," International Journal of Production Economics, Elsevier, vol. 123(1), pages 196-209, January.
    4. Correia, Isabel & Melo, Teresa, 2016. "A computational comparison of formulations for a multi-period facility location problem with modular capacity adjustments and flexible demand fulfillment," Technical Reports on Logistics of the Saarland Business School 11, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    5. Emde, Simon & Boysen, Nils, 2012. "Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines," International Journal of Production Economics, Elsevier, vol. 135(1), pages 393-402.
    6. Sanjay Dominik Jena & Jean-François Cordeau & Bernard Gendron, 2015. "Dynamic Facility Location with Generalized Modular Capacities," Transportation Science, INFORMS, vol. 49(3), pages 484-499, August.
    7. Clavijo López, Christian & Crama, Yves & Pironet, Thierry & Semet, Frédéric, 2024. "Multi-period distribution networks with purchase commitment contracts," European Journal of Operational Research, Elsevier, vol. 312(2), pages 556-572.
    8. Varsei, Mohsen & Polyakovskiy, Sergey, 2017. "Sustainable supply chain network design: A case of the wine industry in Australia," Omega, Elsevier, vol. 66(PB), pages 236-247.
    9. Schuster Puga, Matías & Tancrez, Jean-Sébastien, 2017. "A heuristic algorithm for solving large location–inventory problems with demand uncertainty," European Journal of Operational Research, Elsevier, vol. 259(2), pages 413-423.
    10. Harris, Irina & Mumford, Christine L. & Naim, Mohamed M., 2014. "A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 1-22.
    11. Haase, Knut & Hoppe, Mirko, 2008. "Standortplanung unter Wettbewerb - Teil 1: Grundlagen," Discussion Papers 2/2008, Technische Universität Dresden, "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport and Economics.
    12. Emin Sertaç Ari & Cevriye Gencer, 2020. "Proposal of a novel mixed integer linear programming model for site selection of a wind power plant based on power maximization with use of mixed type wind turbines," Energy & Environment, , vol. 31(5), pages 825-841, August.
    13. Ashu Kedia & Diana Kusumastuti & Alan Nicholson, 2019. "Establishing Collection and Delivery Points to Encourage the Use of Active Transport: A Case Study in New Zealand Using a Consumer-Centric Approach," Sustainability, MDPI, vol. 11(22), pages 1-23, November.
    14. Ansari, Sina & Başdere, Mehmet & Li, Xiaopeng & Ouyang, Yanfeng & Smilowitz, Karen, 2018. "Advancements in continuous approximation models for logistics and transportation systems: 1996–2016," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 229-252.
    15. Schuster Puga, Matías & Minner, Stefan & Tancrez, Jean-Sébastien, 2019. "Two-stage supply chain design with safety stock placement decisions," International Journal of Production Economics, Elsevier, vol. 209(C), pages 183-193.
    16. Parker, Nathan C, 2007. "Optimizing the Design of Biomass Hydrogen Supply Chains Using Real-World Spatial Distributions: A Case Study Using California Rice Straw," Institute of Transportation Studies, Working Paper Series qt8sp9n37c, Institute of Transportation Studies, UC Davis.
    17. Bieniek, Milena, 2015. "A note on the facility location problem with stochastic demands," Omega, Elsevier, vol. 55(C), pages 53-60.
    18. Güden, Hüseyin & Süral, Haldun, 2014. "Locating mobile facilities in railway construction management," Omega, Elsevier, vol. 45(C), pages 71-79.
    19. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
    20. Sanjay Jena & Jean-François Cordeau & Bernard Gendron, 2015. "Modeling and solving a logging camp location problem," Annals of Operations Research, Springer, vol. 232(1), pages 151-177, September.

    More about this item

    Keywords

    Analytic Hierarchy Process; (AHP); Geographic Information Systems; (GIS); Facility Site Selection.;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ksp:journ6:v:3:y:2016:i:1s:p:21-29. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Bilal KARGI (email available below). General contact details of provider: http://www.kspjournals.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.