Araştırma Makalesi
BibTex RIS Kaynak Göster

Rota Optimizasyonu Yazılımının Müşteri Memnuniyetine Etkileri

Yıl 2023, , 822 - 833, 25.08.2023
https://doi.org/10.16984/saufenbilder.1259595

Öz

Bu çalışmanın amacı rota optimizasyon yazılımı ile müşteri memnuniyeti arasındaki ilişkiyi açıklamaktır. Bu konu yönetim bilgi sistemleri açısından önem taşımaktadır çünkü rota optimizasyon yazılımları firmalar tarafından yaygın bir şekilde kullanılmaya başlanmıştır ve bu çalışmada rota optimizasyon yazılımları ile müşteri memnuniyet düzeyi arasındaki ilişkiye kısaca değinilmektedir. Çalışmada bu ilişki açıklanırken ayni zamanda rota optimizasyon yazılımı, nasıl çalıştığı ve uygulama alanları anlatılmıştır. Daha sonra müşteri memnuniyeti ve rota optimizasyon yazılımlarının müşteri memnuniyeti üzerindeki etkileri anlatılarak çalışma sonlandırılmıştır. Bu makalenin taslağı ve yazımı sürecinde konu detaylı bir şekilde araştırılmış ve analiz edilmiştir. Bu araştırmalar ve analizler ile yazarın konu hakkındaki fikir ve yorumları birleştirilirip makale oluşturulmuştur.

Kaynakça

  • S. Bozkurt Keser, A. Yazıcı, S. Günal, “A Multi-Criteria Heuristic Algorithm For Personalized Route Planning”, Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 17, no. 2, pp. 299-313, 2016.
  • Rotamopt, “Field Service Operations”, https://www.rotamopt.com/field-service-operations (accessed Jan. 10, 2023).
  • İ. Küçükoğlu, N. Öztürk, “Route Optimization of the Electric Vehicles with Heterogeneous Fleet / Heterojen Filoya Sahip Elektrikli Araçların Rota Optimizasyonu”, Celal Bayar University Journal of Science, vol. 12, no. 3, pp. 525-533, 2016.
  • H. Chu, W. Zhang, P. Bai, Y. Chen, “Data-driven optimization for last-mile delivery”, Complex & Intelligent Systems, 2021.
  • T. Bányai, “Real-time decision making in first mile and last mile logistics: How smart scheduling affects energy efficiency of hyperconnected supply chain solutions”, Energies, vol. 11, no. 7, 2018.
  • H. Eskandaripour, E. Boldsaikhan, “Last-Mile Drone Delivery: Past, Present, and Future”, Drones, vol. 7, no. 2, 2023.
  • W. Liu, "Route Optimization for Last-Mile Distribution of Rural E-Commerce Logistics Based on Ant Colony Optimization," in IEEE Access, vol. 8, pp. 12179-12187, 2020.
  • J. M. Ferrer, F. J. Martín-Campo, M. T. Ortuño, A. J. Pedraza-Martínez, G. Tirado, B. Vitoriano, “Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications”, European Journal of Operational Research, vol. 269, no. 2, pp. 501–515, 2018.
  • Rotamopt, “Last Mile Operations”, https://www.rotamopt.com/last-mile-operation (accessed Jan. 01, 2023).
  • Optiyol, “Son Kilometre Operasyonları”, https://www.optiyol.com/tr/son-kilometre-operasyonlari (accessed Jan. 8, 2023).
  • Ç. Koç, O. Jabali, G. Laporte, “Long-haul vehicle routing and scheduling with idling options”, Journal of the Operational Research Society, vol. 69, no. 2, pp. 235-246, 2018.
  • Optimoroute, “Delivery Efficiency”, https://optimoroute.com/delivery-efficiency/ (accessed Jan. 9, 2023)
  • Maptriks, “Rota Optimizasyonunun 5 Temel Kullanım Alanı”, (accessed Apr. 30, 2023)
  • M. Gümüş, E. H. Özder, E. Hatınoğlu, A. Uçar, “Geri Dönüşüm Atıklarının Toplanmasında Rota Optimizasyonu: Alanya İlçesinde Bir Uygulama” , Journal of Turkish Operations Management , vol. 6, no. 1, pp. 1102-1112, 2022.
  • Onfleet,“Features”,https://onfleet.com/features (accessed Jan. 01, 2023).
  • Onfleet, “6 Ways to Reduce Last-Mile Delivery Costs”, https://onfleet.com/blog/ 6-ways-to-reduce-last-mile-delivery-costs/ (accessed Jan. 12, 2023).
  • M. Kurnuç, S. Korucuk, O. Küçük, “Kalite İyileştirme Çalışmalarının Müşteri Memnuniyeti ve Müşteri Sadakatine Etkisi”, The International New Issues in Social Sciences, vol. 1, no. 1, pp. 21-44, 2015.
  • S. Rajak, P. Parthiban, R. Dhanalakshmi, “Multi-depot vehicle routing problem based on customer satisfaction”, International Journal of Services, Technology and Management, vol. 26, no. 2–3, pp. 252–265, 2020.
  • M. Barkaoui, J. Berger, A. Boukhtouta, “Customer satisfaction in dynamic vehicle routing problem with time windows”, Applied Soft Computing, vol. 35, pp. 423–432, 2015.
  • Y. Zhang, C. Yuan, J. Wu, “Vehicle Routing Optimization of Instant Distribution Routing Based on Customer Satisfaction”, Information, vol. 11, no. 1, 36, 2020.
  • EFT, “The Last Mile Logistics Whitepaper,2018”, https://blog.localz. com/hubfs/Whitepapers/Last%20Mile%20Logistics/TheLastMileLogisticsWhitePaper.pdf, (accessed Mar. 3, 2023).
  • A. Babacan, M. R. Şimşek, “E-Ticaret Sektöründe Müşteri Memnuniyeti ve Sadakati Arasındaki İlişki: Bir Yapısal Eşitlik Modeli Uygulaması”, Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, vol. 19 no. 2, pp. 67-87, 2018.
  • A.Munoz-Villamizar, EL. Solano-Charris, L. Reyes-Rubiano, J. Faulin, “Measuring Disruptions in Last-Mile Delivery Operations”, Logistics, vol. 5, no. 1, 17, 2021.
  • O.T. Laseinde, K. Mpofu, “Providing solution to last mile challenges in postal operations”, International Journal of Logistics Research and Applications, vol. 20, no. 5, pp. 475-490, 2017.
  • Y. Huang, K.M. Kockelman, V. Garikapati, “Shared automated vehicle fleet operations for first-mile last-mile transit connections with dynamic pooling”, Computers, Environment and Urban Systems, vol. 92, 2022.
  • E. Nathanail, M. Gogas, G. Adamos, "Assessing the Contribution of Urban Freight Terminals in Last Mile Operations" Transport and Telecommunication Journal, vol. 17, no.3, pp.231-241, 2016.
  • J. Oršič, B. Jereb, M. Obrecht, “Sustainable Operations of Last Mile Logistics Based on Machine Learning Processes”, Processes, vol. 10, no. 12, 2524, 2022.

The Effects of Route Optimization Software to the Customer Satisfaction

Yıl 2023, , 822 - 833, 25.08.2023
https://doi.org/10.16984/saufenbilder.1259595

Öz

Route optimization, which is a result of the advancement of technology today, makes companies profitable within months. The aim of this study is to explain the relation between route optimization software and the customer satisfaction. Route optimization softwares become widely used by the companies and this study touches briefly on the subject of the relation between route optimization software and customer satisfaction level. While explain this relation, the study described route optimization software, how it works and its execution areas. Hereafter, the article start to explain customer satisfaction and route optimization software’s effects on customer satisfaction and conclude the study. In the drafting and writing process of this article, the topic is detaily searched and analyzed.

Kaynakça

  • S. Bozkurt Keser, A. Yazıcı, S. Günal, “A Multi-Criteria Heuristic Algorithm For Personalized Route Planning”, Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 17, no. 2, pp. 299-313, 2016.
  • Rotamopt, “Field Service Operations”, https://www.rotamopt.com/field-service-operations (accessed Jan. 10, 2023).
  • İ. Küçükoğlu, N. Öztürk, “Route Optimization of the Electric Vehicles with Heterogeneous Fleet / Heterojen Filoya Sahip Elektrikli Araçların Rota Optimizasyonu”, Celal Bayar University Journal of Science, vol. 12, no. 3, pp. 525-533, 2016.
  • H. Chu, W. Zhang, P. Bai, Y. Chen, “Data-driven optimization for last-mile delivery”, Complex & Intelligent Systems, 2021.
  • T. Bányai, “Real-time decision making in first mile and last mile logistics: How smart scheduling affects energy efficiency of hyperconnected supply chain solutions”, Energies, vol. 11, no. 7, 2018.
  • H. Eskandaripour, E. Boldsaikhan, “Last-Mile Drone Delivery: Past, Present, and Future”, Drones, vol. 7, no. 2, 2023.
  • W. Liu, "Route Optimization for Last-Mile Distribution of Rural E-Commerce Logistics Based on Ant Colony Optimization," in IEEE Access, vol. 8, pp. 12179-12187, 2020.
  • J. M. Ferrer, F. J. Martín-Campo, M. T. Ortuño, A. J. Pedraza-Martínez, G. Tirado, B. Vitoriano, “Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications”, European Journal of Operational Research, vol. 269, no. 2, pp. 501–515, 2018.
  • Rotamopt, “Last Mile Operations”, https://www.rotamopt.com/last-mile-operation (accessed Jan. 01, 2023).
  • Optiyol, “Son Kilometre Operasyonları”, https://www.optiyol.com/tr/son-kilometre-operasyonlari (accessed Jan. 8, 2023).
  • Ç. Koç, O. Jabali, G. Laporte, “Long-haul vehicle routing and scheduling with idling options”, Journal of the Operational Research Society, vol. 69, no. 2, pp. 235-246, 2018.
  • Optimoroute, “Delivery Efficiency”, https://optimoroute.com/delivery-efficiency/ (accessed Jan. 9, 2023)
  • Maptriks, “Rota Optimizasyonunun 5 Temel Kullanım Alanı”, (accessed Apr. 30, 2023)
  • M. Gümüş, E. H. Özder, E. Hatınoğlu, A. Uçar, “Geri Dönüşüm Atıklarının Toplanmasında Rota Optimizasyonu: Alanya İlçesinde Bir Uygulama” , Journal of Turkish Operations Management , vol. 6, no. 1, pp. 1102-1112, 2022.
  • Onfleet,“Features”,https://onfleet.com/features (accessed Jan. 01, 2023).
  • Onfleet, “6 Ways to Reduce Last-Mile Delivery Costs”, https://onfleet.com/blog/ 6-ways-to-reduce-last-mile-delivery-costs/ (accessed Jan. 12, 2023).
  • M. Kurnuç, S. Korucuk, O. Küçük, “Kalite İyileştirme Çalışmalarının Müşteri Memnuniyeti ve Müşteri Sadakatine Etkisi”, The International New Issues in Social Sciences, vol. 1, no. 1, pp. 21-44, 2015.
  • S. Rajak, P. Parthiban, R. Dhanalakshmi, “Multi-depot vehicle routing problem based on customer satisfaction”, International Journal of Services, Technology and Management, vol. 26, no. 2–3, pp. 252–265, 2020.
  • M. Barkaoui, J. Berger, A. Boukhtouta, “Customer satisfaction in dynamic vehicle routing problem with time windows”, Applied Soft Computing, vol. 35, pp. 423–432, 2015.
  • Y. Zhang, C. Yuan, J. Wu, “Vehicle Routing Optimization of Instant Distribution Routing Based on Customer Satisfaction”, Information, vol. 11, no. 1, 36, 2020.
  • EFT, “The Last Mile Logistics Whitepaper,2018”, https://blog.localz. com/hubfs/Whitepapers/Last%20Mile%20Logistics/TheLastMileLogisticsWhitePaper.pdf, (accessed Mar. 3, 2023).
  • A. Babacan, M. R. Şimşek, “E-Ticaret Sektöründe Müşteri Memnuniyeti ve Sadakati Arasındaki İlişki: Bir Yapısal Eşitlik Modeli Uygulaması”, Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, vol. 19 no. 2, pp. 67-87, 2018.
  • A.Munoz-Villamizar, EL. Solano-Charris, L. Reyes-Rubiano, J. Faulin, “Measuring Disruptions in Last-Mile Delivery Operations”, Logistics, vol. 5, no. 1, 17, 2021.
  • O.T. Laseinde, K. Mpofu, “Providing solution to last mile challenges in postal operations”, International Journal of Logistics Research and Applications, vol. 20, no. 5, pp. 475-490, 2017.
  • Y. Huang, K.M. Kockelman, V. Garikapati, “Shared automated vehicle fleet operations for first-mile last-mile transit connections with dynamic pooling”, Computers, Environment and Urban Systems, vol. 92, 2022.
  • E. Nathanail, M. Gogas, G. Adamos, "Assessing the Contribution of Urban Freight Terminals in Last Mile Operations" Transport and Telecommunication Journal, vol. 17, no.3, pp.231-241, 2016.
  • J. Oršič, B. Jereb, M. Obrecht, “Sustainable Operations of Last Mile Logistics Based on Machine Learning Processes”, Processes, vol. 10, no. 12, 2524, 2022.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilgisayar Yazılımı
Bölüm Araştırma Makalesi
Yazarlar

Ali Durdu 0000-0002-5347-4491

Muhammed Faik Kaya Bu kişi benim 0000-0002-7161-2675

Erken Görünüm Tarihi 19 Ağustos 2023
Yayımlanma Tarihi 25 Ağustos 2023
Gönderilme Tarihi 3 Mart 2023
Kabul Tarihi 2 Mayıs 2023
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Durdu, A., & Kaya, M. F. (2023). The Effects of Route Optimization Software to the Customer Satisfaction. Sakarya University Journal of Science, 27(4), 822-833. https://doi.org/10.16984/saufenbilder.1259595
AMA Durdu A, Kaya MF. The Effects of Route Optimization Software to the Customer Satisfaction. SAUJS. Ağustos 2023;27(4):822-833. doi:10.16984/saufenbilder.1259595
Chicago Durdu, Ali, ve Muhammed Faik Kaya. “The Effects of Route Optimization Software to the Customer Satisfaction”. Sakarya University Journal of Science 27, sy. 4 (Ağustos 2023): 822-33. https://doi.org/10.16984/saufenbilder.1259595.
EndNote Durdu A, Kaya MF (01 Ağustos 2023) The Effects of Route Optimization Software to the Customer Satisfaction. Sakarya University Journal of Science 27 4 822–833.
IEEE A. Durdu ve M. F. Kaya, “The Effects of Route Optimization Software to the Customer Satisfaction”, SAUJS, c. 27, sy. 4, ss. 822–833, 2023, doi: 10.16984/saufenbilder.1259595.
ISNAD Durdu, Ali - Kaya, Muhammed Faik. “The Effects of Route Optimization Software to the Customer Satisfaction”. Sakarya University Journal of Science 27/4 (Ağustos 2023), 822-833. https://doi.org/10.16984/saufenbilder.1259595.
JAMA Durdu A, Kaya MF. The Effects of Route Optimization Software to the Customer Satisfaction. SAUJS. 2023;27:822–833.
MLA Durdu, Ali ve Muhammed Faik Kaya. “The Effects of Route Optimization Software to the Customer Satisfaction”. Sakarya University Journal of Science, c. 27, sy. 4, 2023, ss. 822-33, doi:10.16984/saufenbilder.1259595.
Vancouver Durdu A, Kaya MF. The Effects of Route Optimization Software to the Customer Satisfaction. SAUJS. 2023;27(4):822-33.

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