IDEAL LOCATION SELECTION FOR CONTACTLESS PARCEL PICK-UP POINTS

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Dec 31, 2023
Tutku Tuncali Yaman Serdar Yaylalı

Abstract

The post-Covid era has witnessed the adoption of various new habits in our daily lives, particularly in relation to the ubiquitous e-commerce platforms that have become essential for urban populations. The surge in e-commerce activities and the intensified volume in delivery of packages during the pandemic sparked innovative ideas. This study explores one such creative concept: parcel pick-up points. We conducted a pioneering research endeavor to determine the optimal locations for these pick-up points in Istanbul, Turkey. Our methodology employed a novel hybrid approach, combining the Spherical Fuzzy Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The evaluation of criteria importance was facilitated by a literature review and experienced high-level managers in the cargo industry, who determined the criteria weights using the Spherical Fuzzy AHP method. Subsequently, the TOPSIS method was employed to identify the most ideal locations, leading to the selection of Kadikoy, Umraniye, and Atasehir. This study provides valuable insights into the selection of the optimal locations for parcel pick-up points in Istanbul, Turkey, which can inform policymakers, e-commerce companies, and logistics stakeholders. The proposed hybrid approach demonstrates the integration of modern smart technologies with fuzzy decision-making techniques, offering a robust framework for decision support in the field of e-commerce logistics. Future research can further explore the implementation and effectiveness of these pick-up points to enhance the efficiency and convenience of last-mile deliveries in urban areas.

How to Cite

Tuncali Yaman, T., & Yaylalı, S. (2023). IDEAL LOCATION SELECTION FOR CONTACTLESS PARCEL PICK-UP POINTS. International Journal of the Analytic Hierarchy Process, 15(3). https://doi.org/10.13033/ijahp.v15i3.1059

Downloads

Download data is not yet available.
Abstract 368 | PDF Downloads 311

##plugins.themes.bootstrap3.article.details##

Keywords

Parcel Pick-up Points, Location selection, spherical fuzzy AHP, TOPSIS

References
Albayrak, E. (2019). Atm yer seçiminde başlıca veri madenciliği teknikleri ile tahminleme, MSc Thesis, Maltepe University.

Atasehir District Governor's Office (2022). Retrieved March 27, 2022, from http://www.atasehir.gov.tr/.

Behzadian, M., Otaghsara, S.K., Yazdani, M. & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39(17), 13051-13069. Doi: http://dx.doi.org/10.1016/j.eswa.2012.05.056

Besiktas District Governor's Office (2022). Retrieved March 27, 2022, from http://www.besiktas.gov.tr/.

Dogan, O. (2021). Process mining technology selection with spherical fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 178, 114999. Doi: http://dx.doi.org/10.1016/j.eswa.2021.114999

Editorial (2022). COVID-19 e-ticareti nasıl etkiledi?, Retrieved June 20, 2022, from https://retailturkiye.com/genel-haberler/covid-19-e-ticareti-nasil-etkiledi/.

Endeksa Homepage (2022). Retrieved March 27, 2022, from https://www.endeksa.com/tr/.

Goli, A., Olfat, L. & Foukordi, R. (2010). Location of banking automatic teller machines (atms) based on analytic hierarchy process method (AHP) (case study: Keshavarzi bank atms in Tehran municipality, district no.10), Geography and Development, 8(18), 93-108.

González-Varona, J. M., Villafáñez, F., Acebes, F., Redondo, A., & Poza, D. (2020). Reusing newspaper kiosks for last-mile delivery in urban areas. Sustainability, 12(22), 9770. Doi: http://dx.doi.org/10.3390/su12229770

Hwang C. L. & Yoon K. (1981). Multiple attributes decision making methods and applications. Springer Verlag.

Kadıköy District Governor's Office (2022). Retrieved on March 27, 2022, from http://www.kadikoy.gov.tr/.

Kilibarda, M., Andreji´ c, M., & Popovi´ c, V. (2020). Research in logistics service quality: A systematic literature review. Transport, 35(2), 224–235.

Kutlu Gündoğdu, F. & Kahraman, C. (2019). Spherical fuzzy sets and spherical fuzzy TOPSIS method. Journal of Intelligent and Fuzzy Systems, 36(1), 337–352. Doi: http://dx.doi.org/10.3233/jifs-181401

Kutlu Gündoğdu, F. & Kahraman, C. (2020). A novel spherical fuzzy analytic hierarchy process and its renewable energy application. Soft Computing, 24(6), 4607-4621. Doi: http://dx.doi.org/10.1007/s00500-019-04222-w

Lagorio, A., & Pinto, R. (2020, April). The parcel locker location issues: An overview of factors affecting their location. In Proceedings of the 8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation, ILS (pp. 414-421).

Liu, S., Liu, Y., Zhang, R., Cao, Y., Li, M., Zikirya, B. & Zhou, C. (2021). Heterogeneity of spatial distribution and factors influencing unattended lockerpoints in Guangzhou, China: The case of hive box. ISPRS International Journal of Geo-Information, 10(6), 409. Doi: http://dx.doi.org/10.3390/ijgi10060409

Mangiaracina, R., Perego, A., Seghezzi, A., & Tumino, A. (2019). Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review. International Journal of Physical Distribution & Logistics Management, 49(9), 901-920. Doi: http://dx.doi.org/10.1108/ijpdlm-02-2019-0048

Mathew, M., Chakrabortty, R.K. & Ryan, M. J. (2020). A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection. Engineering Applications of Artificial Intelligence, 96, 103988. Doi: http://dx.doi.org/10.1016/j.engappai.2020.103988

Min, H. & Melachrinoudis. E. (2002). The three‐hierarchical location‐allocation of banking facilities with risk and uncertainty. International Transactions in Operational Research, 8(4), 381-401. Doi: http://dx.doi.org/10.1111/1475-3995.00272

Moslem, S., & Pilla, F. (2023). A hybrid decision making support method for parcel lockers location selection. Research in Transportation Economics, 100, 101320. Doi: http://dx.doi.org/10.1016/j.retrec.2023.101320

Önüt, S., Efendigil, T., & Kara, S. S. (2010). A combined fuzzy MCDM approach for selecting shopping center site: An example from Istanbul, Turkey. Expert Systems with Applications, 37(3), 1973-1980. Doi: http://dx.doi.org/10.1016/j.eswa.2009.06.080

Papathanasiou, J. & Ploskas, N. (2018). Topsis. In Multiple criteria decision aid (pp. 1-30). Springer Cham. Doi: http://dx.doi.org/10.1007/978-3-319-91648-4_1

Parcelbox Homepage (2022). Retrieved on March 27, 2022, from https://www.datasys.cz/en/produkty/parcelboxes.

Parkhan, A., Vatimbing, A.D. & Widodo, I.D. (2018). Integration AHP and TOPSIS in shipyard location selection. In 2018 5th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 11-16). IEEE. Doi: http://dx.doi.org/10.1109/iea.2018.8387064

Roig-Tierno, N., Baviera-Puig, A., Buitrago-Vera, J., & Mas-Verdu, F. (2013). The retail site location decision process using GIS and the analytical hierarchy process. Applied Geography, 40, 191-198. Doi: http://dx.doi.org/10.1016/j.apgeog.2013.03.005

Rovlocker (2022). Retrieved on June 20, 2022, from https://www.rovenma.com/smart-parcel-locker/.

Saaty, T.L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234-281. Doi: http://dx.doi.org/10.1016/0022-2496(77)90033-5

Sajid, M.J., Gonzalez, E.D.S., Zhan, J., Song, X., Sun, Y. & Xie, J. (2021). A methodologically sound survey of Chinese consumers’ willingness to participate in courier, express, and parcel companies’ green logistics. PloS One, 16(7), e0255532. Doi: http://dx.doi.org/10.1371/journal.pone.0255532

Simić, V., Lazarević, D., & Dobrodolac, M. (2021). Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade. European Transport Research Review, 13, 1-22. Doi: http://dx.doi.org/10.1186/s12544-021-00501-6

Sipahi, S., & Timor, M. (2010). The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, 48(5), 775-808. Doi: http://dx.doi.org/10.1108/00251741011043920

Sisli District Governor's Office (2022). Retrieved on March 27, 2022, from http://www.sisli.gov.tr/.

Statista (2022). Retrieved on December 11, 2023, from https://www.statista.com/statistics/986945/percentage-e-commerce-orders-turkey-by-region/.

Syahputra, A., Puspita, K., Maulida, R., Elnovreny, J. & Fahrozi, W. (2020). Analytic Hierarchy Process (AHP) modelling for ATM machine placement. In 2020 8th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-4). IEEE. Doi: http://dx.doi.org/10.1109/citsm50537.2020.9268873

TUIK (2022). Data Portal for Statistics, Retrieved on March 27, 2022 from https://data.tuik.gov.tr/.

Umraniye District Governor's Office (2022). Retrieved on March 27, 2022 from http://www.umraniye.gov.tr/.

Yalcin Kavus, B., Ayyildiz, E., Gulum Tas, P., & Taskin, A. (2023). A hybrid Bayesian BWM and Pythagorean fuzzy WASPAS-based decision-making framework for parcel locker location selection problem. Environmental Science and Pollution Research, 30(39), 90006-90023. Doi: http://dx.doi.org/10.1007/s11356-022-23965-y

Yildiz, A., Ayyildiz, E., Taskin Gumus, A., & Ozkan, C. (2020). A modified balanced scorecard based hybrid pythagorean fuzzy AHP-topsis methodology for ATM site selection problem. International Journal of Information Technology & Decision Making, 19(02), 365-384. Doi: http://dx.doi.org/10.1142/s0219622020500017

Yıldıztekin, A. (December 2021). Covid-19 döneminde lojistik hizmetler ve son teslimatlar, Loder Bulletin.

Yoon, K. P. & Hwang, C.L. (1995). Multiple attribute decision making: an introduction. Sage Publications.

Zeydan, M. & Kayserili, S. (2019). A rule-based decision support approach for site selection of Automated Teller Machines (ATMs). Intelligent Decision Technologies, 13(2), 161-175. Doi: http://dx.doi.org/10.3233/idt-180084

Zheng, Z., Morimoto, T. & Murayama, Y. (2020). Optimal location analysis of delivery parcel-pickup points using AHP and Network Huff Model: A case study of Shiweitang Sub-District in Guangzhou City, China. ISPRS International Journal of Geo-Information, 9(4), 193. Doi: http://dx.doi.org/10.3390/ijgi9040193

Zheng, Z., Morimoto, T. & Murayama, Y. (2021). A GIS-based bivariate logistic regression model for the site-suitability analysis of parcel-pickup lockers: A case study of Guangzhou, China. ISPRS International Journal of Geo-Information, 10(10), 648. Doi: http://dx.doi.org/10.3390/ijgi10100648
Section
Special Topic Articles