IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8635-d862725.html
   My bibliography  Save this article

Determining Optimal Locations of Postal Access Points Based on Simulated Annealing

Author

Listed:
  • Katarina Mostarac

    (Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia)

  • Petar Mostarac

    (Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia)

  • Zvonko Kavran

    (Faculty of Transport and Traffic Sciences, University of Zagreb, 10000 Zagreb, Croatia)

  • Dragana Šarac

    (Faculty of Technical Sciences, University of Novi Sad, 106314 Novi Sad, Serbia)

Abstract

The development of a sustainable postal system depends on the sustainability of its postal network, especially the organization of the postal access points. Postal service providers around the world face great challenges due to changes in the service trends and in consumer behavior. In this paper, the authors argue the importance of the postal network and its significance in rural areas. Methodologies including advanced search algorithms such as brute force and simulated annealing are proposed for best determining the possible locations of postal access points with no or minimal decrease in service accessibility. To the best of our knowledge, these algorithms are scarcely used for determining postal service accessibility. The results show that the decline of the postal office could significantly affect service accessibility. An analysis of the numbers of access points and their impacts on the postal network is provided, as well as the scenario of an additional access point. This methodology could help postal service providers to better plan network organization and resources. For service users, the application of the methodology adds to better service accessibility that considers the distances traveled.

Suggested Citation

  • Katarina Mostarac & Petar Mostarac & Zvonko Kavran & Dragana Šarac, 2022. "Determining Optimal Locations of Postal Access Points Based on Simulated Annealing," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8635-:d:862725
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8635/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/14/8635/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Milica Šelmić & Miloš Nikolić & Aleksandar Čupić, 2020. "Postboxes Quantitative Optimization Model," Sustainability, MDPI, vol. 12(5), pages 1-10, March.
    2. Felipa de Mello-Sampayo, 2020. "Spatial Interaction Model for Healthcare Accessibility: What Scale Has to Do with It," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    3. Bruno, Giuseppe & Cavola, Manuel & Diglio, Antonio & Piccolo, Carmela & Pipicelli, Eduardo, 2021. "Strategies to reduce postal network access points: from demographic to spatial distribution criteria," Utilities Policy, Elsevier, vol. 69(C).
    4. Mengge Du & Shichen Zhao, 2022. "An Equity Evaluation on Accessibility of Primary Healthcare Facilities by Using V2SFCA Method: Taking Fukuoka City, Japan, as a Case Study," Land, MDPI, vol. 11(5), pages 1-22, April.
    5. Perpiñá, C. & Alfonso, D. & Pérez-Navarro, A. & Peñalvo, E. & Vargas, C. & Cárdenas, R., 2009. "Methodology based on Geographic Information Systems for biomass logistics and transport optimisation," Renewable Energy, Elsevier, vol. 34(3), pages 555-565.
    6. Christian Jaag & Matthias Finger, 2017. "What future for the post office network?," Competition and Regulation in Network Industries, , vol. 18(3-4), pages 153-174, September.
    7. Vincent F. Yu & Hadi Susanto & Yu-Hsuan Yeh & Shih-Wei Lin & Yu-Tsung Huang, 2022. "The Vehicle Routing Problem with Simultaneous Pickup and Delivery and Parcel Lockers," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
    8. Bruce L. Golden & Christopher C. Skiscim, 1986. "Using simulated annealing to solve routing and location problems," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 33(2), pages 261-279, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ivana Nikolić & Jelena Milutinović & Darko Božanić & Momčilo Dobrodolac, 2023. "Using an Interval Type-2 Fuzzy AROMAN Decision-Making Method to Improve the Sustainability of the Postal Network in Rural Areas," Mathematics, MDPI, vol. 11(14), pages 1-26, July.
    2. Nima Pourmohammadreza & Mohammad Reza Akbari Jokar, 2023. "A Novel Two-Phase Approach for Optimization of the Last-Mile Delivery Problem with Service Options," Sustainability, MDPI, vol. 15(10), pages 1-25, May.

    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. Nima Pourmohammadreza & Mohammad Reza Akbari Jokar, 2023. "A Novel Two-Phase Approach for Optimization of the Last-Mile Delivery Problem with Service Options," Sustainability, MDPI, vol. 15(10), pages 1-25, May.
    2. Chopin, Pierre & Guindé, Loïc & Causeret, François & Bergkvist, Göran & Blazy, Jean-Marc, 2019. "Integrating stakeholder preferences into assessment of scenarios for electricity production from locally produced biomass on a small island," Renewable Energy, Elsevier, vol. 131(C), pages 128-136.
    3. Sahar Validi & Arijit Bhattacharya & P. J. Byrne, 2020. "Sustainable distribution system design: a two-phase DoE-guided meta-heuristic solution approach for a three-echelon bi-objective AHP-integrated location-routing model," Annals of Operations Research, Springer, vol. 290(1), pages 191-222, July.
    4. Kargbo, Hannah & Harris, Jonathan Stuart & Phan, Anh N., 2021. "“Drop-in” fuel production from biomass: Critical review on techno-economic feasibility and sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    5. Calvert, K. & Pearce, J.M. & Mabee, W.E., 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 416-429.
    6. Anna Sciomachen & Maria Truvolo, 2023. "An Exact Approach for Selecting Pickup-Delivery Stations in Urban Areas to Reduce Distribution Emission Costs," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
    7. Snežana Tadić & Mladen Krstić & Željko Stević & Miloš Veljović, 2023. "Locating Collection and Delivery Points Using the p -Median Location Problem," Logistics, MDPI, vol. 7(1), pages 1-17, February.
    8. Sultana, Arifa & Kumar, Amit, 2014. "Development of tortuosity factor for assessment of lignocellulosic biomass delivery cost to a biorefinery," Applied Energy, Elsevier, vol. 119(C), pages 288-295.
    9. Zareei, Samira, 2018. "Evaluation of biogas potential from livestock manures and rural wastes using GIS in Iran," Renewable Energy, Elsevier, vol. 118(C), pages 351-356.
    10. Bruno, Giuseppe & Cavola, Manuel & Diglio, Antonio & Piccolo, Carmela & Pipicelli, Eduardo, 2021. "Strategies to reduce postal network access points: from demographic to spatial distribution criteria," Utilities Policy, Elsevier, vol. 69(C).
    11. Zhao, Guanhan & Jiang, Peng & Zhang, Hao & Li, Lin & Ji, Tuo & Mu, Liwen & Lu, Xiaohua & Zhu, Jiahua, 2024. "Mapping out the regional low-carbon and economic biomass supply chain by aligning geographic information systems and life cycle assessment models," Applied Energy, Elsevier, vol. 369(C).
    12. Ling, Wen Choong & Verasingham, Arati Banu & Andiappan, Viknesh & Wan, Yoke Kin & Chew, Irene M.L. & Ng, Denny K.S., 2019. "An integrated mathematical optimisation approach to synthesise and analyse a bioelectricity supply chain network," Energy, Elsevier, vol. 178(C), pages 554-571.
    13. Xiang Zhao & Xiaoya Ma & Kun Wang & Yuqing Long & Dongjie Zhang & Zhanchun Xiao, 2017. "A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China," Sustainability, MDPI, vol. 9(5), pages 1-19, May.
    14. Shu, Kesheng & Schneider, Uwe A. & Scheffran, Jürgen, 2017. "Optimizing the bioenergy industry infrastructure: Transportation networks and bioenergy plant locations," Applied Energy, Elsevier, vol. 192(C), pages 247-261.
    15. Nunes, L.J.R. & Causer, T.P. & Ciolkosz, D., 2020. "Biomass for energy: A review on supply chain management models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    16. Kena Zhao & Tsan Sheng Adam Ng & Xiao Liu, 2020. "A guarantee rate optimization model for wastewater treatment system design under uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(6), pages 420-437, September.
    17. Techane Bosona & Girma Gebresenbet, 2018. "Evaluating Logistics Performances of Agricultural Prunings for Energy Production: A Logistics Audit Analysis Approach," Logistics, MDPI, vol. 2(3), pages 1-22, September.
    18. Morato, Teresa & Vaezi, Mahdi & Kumar, Amit, 2019. "Developing a framework to optimally locate biomass collection points to improve the biomass-based energy facilities locating procedure – A case study for Bolivia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 183-199.
    19. Francesco Latterini & Walter Stefanoni & Alessandro Suardi & Vincenzo Alfano & Simone Bergonzoli & Nadia Palmieri & Luigi Pari, 2020. "A GIS Approach to Locate a Small Size Biomass Plant Powered by Olive Pruning and to Estimate Supply Chain Costs," Energies, MDPI, vol. 13(13), pages 1-17, July.
    20. Paredes-Sánchez, José P. & García-Elcoro, Víctor E. & Rosillo-Calle, Frank & Xiberta-Bernat, Jorge, 2016. "Assessment of forest bioenergy potential in a coal-producing area in Asturias (Spain) and recommendations for setting up a Biomass Logistic Centre (BLC)," Applied Energy, Elsevier, vol. 171(C), pages 133-141.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:14:y:2022:i:14:p:8635-:d:862725. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.