Dinamik araç rotalama problemleriyle ilgili çalışmaların bibliyometrik analizi

Abstract

Son birkaç on yılda, küresel konumlama sistemleri ve mobil dijital araçlardaki gelişmelerin etkisiyle, Dinamik Araç Rotalama Problemi (DARP), araştırmacılar ve karar vericiler tarafından önemli oranda çalışmaya başlanmıştır. Özellikle tedarik zinciri yönetimi ve lojistik alanlarındaki Endüstri 4.0 paradigmasının getirdiği dijital dönüşüm DARP uygulamaları için daha uygun bir ortam sağlamıştır. Bu çalışmada, ülke, enstitü, dergi, yazar, atıf gibi kriterlere bakarak bu alanda yazılan makaleler arasındaki ilişkileri anlamak ve bu konuyla ilgili araştırmacılara ve karar vericilere bilgi vermek adına bibliyometrik analiz yapılmıştır. Bu kapsamda Scopus veri tabanından bulunan 831 adet makale incelenmiştir. Sonuç olarak bu alanda en fazla makalenin Çin’de yayınlandığı, diğer taraftan atıf bazında en etkili makalelerin Birleşik Devletler’ de çalışan araştırmacılar tarafından yapıldığı ortaya çıkmıştır. DARP çalışmalarının en fazla üniversitelerin endüstri/sistem mühendisliği ve yönetim bölümleri tarafından gerçekleştirildiği, diğer taraftan ulaşım bilimleri ve yöneylem araştırmaları/endüstri mühendisliği alanlarında çıkan dergilerde yayınlandığı görülmüştür. Uygulama tarafında, paylaşımlı biniş, çevrimiçi kısa süreli özel araç kiralama gibi konuların DARP alanında yeni eğilimler olduğu görülmüştür. Diğer yönden, sezgisel ve metasezgisel metotların DARP çalışmalarında sıklıkla kullanıldığı tespit edilmiştir.

Keywords

• Dinamik araç rotalama problemi
• bibliyometrik analiz
• endüstri 4.0
• Dynamic Vehicle Routing Problem
• Bibliometric Analysis
• Industry 4.0

A bibliometric analysis of publications related to dynamic vehicle routing problems

Abstract

Dynamic Vehicle Routing Problems (DVRP) have been highly studied by researchers and decision-makers for the last couple of decades with the effect of developments in GPS and mobile digital tools. Particularly, the digital transformation in logistic and supply chain activities under Industry 4.0 paradigm provides a more suitable environment for DVRP applications. In this study, we conduct a bibliometric analysis related to studies in the DVRP area to understand relationships among publications in terms of countries, institutions, citations, journals, authors, etc., and to show related information and possible trends to the current and prospective researchers and decision-makers. A total of 831 articled retrieved from the Scopus database are examined for the analysis. As a result, the highest number of studies are published by researchers in China while the most impactful studies in terms of citations are carried out by researchers affiliated with US institutions. DVRPs have been frequently studied in Industrial/System Engineering and Management Schools whereas journals in transportation science and operations research/industrial engineering have mostly published DVRP studies. From the application side, ride-sharing, ride-hailing, and crowdsourced delivery appear as new trends for DVRPs in terms of co-occurrence analysis. On the other hand, heuristic and metaheuristic solution approaches frequently co-occur with DVRPs.

Keywords

• Dynamic Vehicle Routing Problem
• Bibliometric Analysis
• Industry 4.0

References

1. Abdirad, M., Krishnan, K., Gupta, D., (2020). A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach. Journal of Management Analytics, 8(1), 69–83.
2. Agatz, N., Erera, A., Savelsbergh, M., Wang, X. (2012). Optimization for dynamic ride-sharing: A review. European Journal of Operational Research, 223(2), 295–303.
3. Alonso-Mora, J., Samaranayake, S., Wallar, A., Frazzoli, E., Rus, D., (2017). On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment. Proceedings of the National Academy of Sciences of the United States of America, 114(3), 462–467.
4. Arslan, A. M., Agatz, N., Kroon, L., Zuidwijk, R. (2019). Crowdsourced delivery - a dynamic pickup and delivery problem with ad hoc drivers. Transportation Science, 53(1), 222–235.
5. Bent, R. W., & van Hentenryck, P. (2004). Scenario-Based Planning for Partially Dynamic Vehicle Routing with Stochastic Customers. Operations Research, 52(6), 977–987.
6. Berbeglia, G., Cordeau, J. F., Laporte, G. (2010). Dynamic pickup and delivery problems. European Journal of Operational Research, 202(1), 8–15.
7. Bonilla, C. A., Merigó, J. M., & Torres-Abad, C. (2015). Economics in Latin America: a bibliometric analysis. Scientometrics, 105, 1239-1252.
8. Bornmann, L., & Leydesdorff, L. (2014). Scientometrics in a changing research landscape: bibliometrics has become an integral part of research quality evaluation and has been changing the practice of research. EMBO reports, 15(12), 1228-1232.

9. Chang, T. S., & Yen, H. M. (2012). City-courier routing and scheduling problems. European Journal of Operational Research, 223(2), 489–498.
10. Chen, C. (2017). Science mapping: A systematic review of the literature. Journal of Data and Information Science, 2(2), 1-40.
11. Chiu, W. T., & Ho, Y. S. (2007). Bibliometric analysis of tsunami research. Scientometrics, 73(1), 3-17.
12. Dantzig, G. B., & Ramser, J. H. (1959). The truck dispatching problem. Management Science, 6(1), 80-91.
13. Demirbilek, M. (2021a). A-Static-Periodic Solution Strategy for Dynamic Vehicle Routing Problem with Simultaneous Pickup and Delivery. Acta Infologica, 5(1), 1–12.
14. Demirbilek, M. (2021b). A metaheuristic solution approach with two construction heuristics for vehicle routing problem with simultaneous Linehauls and Backhauls. Sigma Journal of Engineering and Natural Sciences, 39(3), 226–236.
15. Demirbilek, M. & Özulukale Demirbilek, S. (2022). İŞ SAĞLIĞI VE GÜVENLİĞİ ANLAYIŞININ ENDÜSTRİ 4.0 KAPSAMINDA DEĞİŞİMİ. Multidisipliner Yaklaşımlarla Endüstri 4.0, 139.
16. Demirbilek, M., Branke, J., & Strauss, A. K. (2021). Home healthcare routing and scheduling of multiple nurses in a dynamic environment. Flexible Services and Manufacturing Journal, 33(1), 253–280.
17. Dewinter, M., Vandeviver, C., Vander Beken, T., Witlox, F. (2020). Analysing the police patrol routing problem: A review. ISPRS International Journal of Geo-Information, 9(3).
18. Dial, R. B. (1995). Autonomous dial-a-ride transit introductory overview. Transportation Research Part C: Emerging Technologies, 3(5), 261–275.
19. Feng, G., Kong, G., Wang, Z. (2020). We are on the Way: Analysis of On-Demand Ride-Hailing Systems. Manufacturing & Service Operations Management, 23(5), 1237–1256.
20. Fikar, C., & Hirsch, P. (2017). Home health care routing and scheduling: A review. Computers and Operations Research, 77, 86–95.
21. Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change, 140, 194-220.
22. Gendreau, M., & Potvin, J.Y. (1998). Dynamic Vehicle Routing and Dispatching. Fleet Management and Logistics, 115–126.
23. Gendreau, M., Guertin, F., Potvin, J. Y., Taillard, É. (1999). Parallel Tabu Search for Real-Time Vehicle Routing and Dispatching. Transportation science, 33(4), 381–390.
24. Ghiani, G., Guerriero, F., Laporte, G., Musmanno, R. (2003). Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies. European Journal of Operational Research, 151(1), 1–11.
25. Haghani, A., & Jung, S. (2005). A dynamic vehicle routing problem with time-dependent travel times. Computers & Operations Research, 32(11), 2959–2986.
26. Han, H., & Ponce-Cueto, E. (2015). Problema de programación de rutas en la recogida de residuos: Revisión de la literatura. Promet - Traffic - Traffico, 27(4), 345–358.
27. Ichoua, S., Gendreau, M., Potvin, J. Y., (2007). Planned Route Optimization for Real-Time Vehicle Routing. Operations Research/ Computer Science Interfaces Series, 38, 1–18.
28. Koç, Ç., & Laporte, G. (2018). Vehicle routing with backhauls: Review and research perspectives. Computers and Operations Research, 91, 79–91.
29. Kumar, S., & Rathi, S. (2019). Bibliometric analysis of open access journal articles published in the field of library and information science during 2008-2017. DESIDOC Journal of Library & Information Technology, 39(1), 26-31.
30. Laporte, G. (2009). Fifty years of vehicle routing. Transportation Science, 43(4), 408–416.
31. Larsen, A., Madsen, O. B. G., Solomon, M. M., (2008). Recent Developments in Dynamic Vehicle Routing Systems. Operations Research/ Computer Science Interfaces Series, 43, 199–218.
32. Larsen, A., Madsen, O., Solomon, M. (2002). Partially dynamic vehicle routing models and algorithms. Journal of the Operational Research Society, 53(6), 637–646.
33. Martínez-López, F. J., Merigó, J. M., Valenzuela-Fernández, L., & Nicolás, C. (2018). Fifty years of the European Journal of Marketing: a bibliometric analysis. European Journal of Marketing, 52(1/2), 439-468.
34. Montemanni, R., Gambardella, L. M., Rizzoli, A. E., Donati, A. V. (2005). “Ant Colony System for a Dynamic Vehicle Routing Problem. Journal of Combinatorial Optimization, 10(4), 327–343.
35. Ojeda Rios, B. H., Xavier, E. C., Miyazawa, F. K., Amorim, P., Curcio, E., Santos, M. J. (2021). Recent dynamic vehicle routing problems: A survey. Computers and Industrial Engineering, 160.
36. Pillac, V., Gendreau, M., Guéret, C., Medaglia, A. L. (2013). A review of dynamic vehicle routing problems. European Journal of Operational Research, 225(1), 1–11.
37. Psaraftis, H. N. (1980). A Dynamic Programming Solution to the Single Vehicle Many-to-Many Immediate Request Dial-a-Ride Problem. Transportation Science, 14(2), 130–154.
38. Psaraftis, H. N. (1995). Dynamic vehicle routing: Status and prospects. Annals of Operations Research, 61(1), 143–164.
39. Rios, B. H. O., Xavier, E. C., Miyazawa, F. K., Amorim, P., Curcio, E., & Santos, M. J. (2021). Recent dynamic vehicle routing problems: A survey. Computers & Industrial Engineering, 160, 107604.
40. Ritzinger, U., Puchinger, J., Hartl, R. F. (2016). A survey on dynamic and stochastic vehicle routing problems. International Journal of Production Research, 54(1), 215–231.
41. Savelsbergh, M., & Sol, M. (1998). Drive: Dynamic routing of independent vehicles. Operations Research, 46(4), 474–490.
42. Talarico, L., Meisel, F., Sörensen, K. (2015). Ambulance routing for disaster response with patient groups. Computers and Operations Research, 56, 120–133.
43. Tlili, T., Harzi, M., Krichen, S. (2017). Swarm-based approach for solving the ambulance routing problem. Procedia Computer Science, 112, 350–357.
44. Toth, P., & Vigo, D. (Eds.) (2014). Vehicle routing: problems, methods, and applications. Society for Industrial and Applied Mathematics, 463.
45. Ulmer, M. W., Thomas, B. W., Campbell, A. M., Woyak, N. (2021). The restaurant meal delivery problem: Dynamic pickup and delivery with deadlines and random ready times. Transportation Science, 55(1), 75-100.
46. Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.
47. Van Eck, N. J., & Waltman, L. (2017). Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(2), 1053-1070.
48. Voccia, S. A., Campbell, A. M., Thomas, B. W. (2019). The same-day delivery problem for online purchases. Transportation Science, 53(1), 167–184.
49. Waltman, L., van Eck, N. J., & Noyons, E. C. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629-635.
50. Wilson, N. H. M., & Colvin N. J. (1977). Computer control of the Rochester dial-a-ride system. Massachusetts Institute of Technology, Center for Transportation Studies, 79.