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A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer

Year 2024, , 175 - 185, 17.05.2024
https://doi.org/10.26650/JTL.2024.1394688

Abstract

Productive and uninterrupted operation of ports and their provision of value-added services to customers have become necessities brought about by competition. A performance measurement tool is needed in ports to ensure that the service ports provide is uninterrupted and productive. Four basic logistics processes occur in container terminals: ship operations, transportation, storage, and handling of containers in the port area. Thus, this study aims to develop a logistics-oriented decision support model that will function as a decision support tool for port management to help in understanding, analyzing, and evaluating a port’s logistics structure and port performance indicators for planning port capacity, increasing port productivity, improving intra-port logistics processes, and predicting a port’s future needs. This study offers an extensive analysis of the literature on simulating the processes in container terminals using the bibliometric analysis method. The study preforms an in-depth analysis of 51 studies in the Scopus database. The study also performs co-citation and author-keyword analyses on the obtained data with the help of the software program VOSviewer. The study concludes by presenting authors some recommendations based on the analyzed studies.

References

  • Al-Emran, M., Al-Maroof, R., Al-Sharafi, M. A., & Arpaci, I. (2020). What impacts learning with wearables? An integrated theoretical model. Interactive learning environments, 1-21. google scholar
  • Angeloudis, P., & Bell, M. G. (2011). A review of container terminal simulation models. Maritime Policy & Management, 38(5), 523-540. google scholar
  • Arruda, H., Silva, E. R., Lessa, M., Proença Jr, D., & Bartholo, R. (2022). VOSviewer and bibliometrix. Journal of the Medical Library Association: JMLA, 110(3), 392. google scholar
  • Baker, D. R. (1990). Citation analysis: A methodological review. In Social Work Research and Abstracts (Vol. 26, No. 3, pp. 3-10). Oxford University Press. google scholar
  • Bazzazi, M., Safaei, N., & Javadian, N. (2009). A genetic algorithm to solve the storage space allocation problem in a container terminal. Computers & Industrial Engineering, 56(1), 44-52. google scholar
  • Benantar, A., Abourraja, M. N., Boukachour, J., Boudebous, D., & Duvallet, C. (2020). On the integration of container availability constraints into daily drayage operations arising in France: Modelling and optimization. Transportation Research Part E: Logistics and Transportation Review, 140, 101969. google scholar
  • Bielli, M., Boulmakoul, A., & Rida, M. (2006). Object oriented model for container terminal distributed simulation. European Journal of Operational Research, 175(3), 1731-1751. google scholar
  • Bierwirth, C., & Meisel, F. (2009). A fast heuristic for quay crane scheduling with interference constraints. Journal of Scheduling, 12(4), 345-360. google scholar
  • Bierwirth, C., & Meisel, F. (2015). A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, 244(3), 675-689. google scholar
  • Bish, E. K. (2003). A multiple-crane-constrained scheduling problem in a container terminal. European Journal of Operational Research, 144(1), 83-107. google scholar
  • Boyack, K. W., & Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?. Journal of the American Society for information Science and Technology, 61(12), 2389-2404. google scholar
  • Bruzzone, A., & Signorile, R. (1998). Simulation and genetic algorithms for ship planning and shipyard layout. Simulation, 71(2), 74-83. google scholar
  • Chen, L., Bostel, N., Dejax, P., Cai, J., & Xi, L. (2007). A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal. European Journal of Operational Research, 181(1), 40-58. google scholar
  • Cheung, R. K., & Chen, C. Y. (1998). A two-stage stochastic network model and solution methods for the dynamic empty container allocation problem. Transportation science, 32(2), 142-162. google scholar
  • Crainic, T. G., Gendreau, M., & Dejax, P. (1993). Dynamic and stochastic models for the allocation of empty containers. Operations research, 41(1), 102-126. google scholar
  • Daganzo, C. F. (1989). The crane scheduling problem. Transportation Research Part B: Methodological, 23(3), 159-175. google scholar
  • Dragovic, B., Tzannatos, E., & Park, N. K. (2017). Simulation modelling in ports and Container terminals: literatüre overview and analysis by research field, application area and tool. Flexible Services and Manufacturing Journal, 29, 4-34. google scholar
  • Derse, O., & Göçmen, E. (2018). A Simulation Modelling Approach for Analysing The Transportation of Containers in A Container Terminal System. International Scientific and Vocational Studies Journal, 2(1), 19-28. google scholar
  • Froyland, G., Koch, T., Megow, N., Duane, E., & Wren, H. (2008). Optimizing the landside operation of a container terminal. OR spectrum, 30(1), 53-75. google scholar
  • Gambardella, L. M., Rizzoli, A. E., & Zaffalon, M. (1998). Simulation and planning of an intermodal container terminal. Simulation, 71(2), 107-116. google scholar
  • Grunow, M., Günther, H. O., & Lehmann, M. (2005). Dispatching multi-load AGVs in highly automated seaport container terminals. In Container Terminals and Automated Transport Systems (pp. 231-255). Springer, Berlin, Heidelberg. google scholar
  • Guan, Y., & Cheung, R. K. (2004). The berth allocation problem: models and solution methods. Or Spectrum, 26(1), 75-92. google scholar
  • Hartmann, S. (2004a). A general framework for scheduling equipment and manpower at container terminals. OR Spectrum, 26(1), 51-74. google scholar
  • Hartmann, S. (2004b). Generating scenarios for simulation and optimization of container terminal logistics. Or Spectrum, 26(2), 171-192. google scholar
  • Hwang, H., & Kim, S. H. (1998). Development of dispatching rules for automated guided vehicle systems. Journal of Manufacturing Systems, 17(2), 137-143. google scholar
  • Kemme, N. (2012). Effects of storage block layout and automated yard crane systems on the performance of seaport container terminals. OR spectrum, 34(3), 563-591. google scholar
  • Kim, K. H., & Kim, H. B. (1999). Segregating space allocation models for container inventories in port container terminals. International Journal of Production Economics, 59(1-3), 415-423. google scholar
  • Kim, K. H., & Park, K. T. (2003). A note on a dynamic space-allocation method for outbound containers. European Journal of Operational Research, 148(1), 92-101. google scholar
  • Kim, K. H., Kang, J. S., & Ryu, K. R. (2004). A beam search algorithm for the load sequencing of outbound containers in port container terminals. OR spectrum, 26(1), 93-116. google scholar
  • Kim, K. H., Lee, K. M., & Hwang, H. (2003). Sequencing delivery and receiving operations for yard cranes in port container terminals. International Journal of Production Economics, 84(3), 283-292. google scholar
  • Kim, K. Y., & Kim, K. H. (1999). A routing algorithm for a single straddle carrier to load export containers onto a containership. International Journal of Production Economics, 59(1-3), 425-433. google scholar
  • Kim, K. Y., & Kim, K. H. (2003). Heuristic algorithms for routing yard-side equipment for minimizing loading times in container terminals. Naval Research Logistics (NRL), 50(5), 498-514. google scholar
  • Law, A. M., & Kelton, W. D. (2000). Simulation Modelling and Analysis. google scholar
  • Le-Anh, T., & van der Meer, J. R. (2004). Testing and classifying vehicle dispatching rules in three real-world settings. Journal of Operations Management, 22(4), 369-386. google scholar
  • Legato, P., & Mazza, R. M. (2001). Berth planning and resources optimisation at a container terminal via discrete event simulation. European Journal of Operational Research, 133(3), 537-547. google scholar
  • Legato, P., Mazza, R. M., & Trunfio, R. (2010). Simulation-based optimization for discharge/loading operations at a maritime container terminal. OR spectrum, 32(3), 543-567. google scholar
  • Lim, A. (1998). The berth planning problem. Operations research letters, 22(2-3), 105-110. google scholar
  • Linn, R., Liu, J. Y., Wan, Y. W., Zhang, C., & Murty, K. G. (2003). Rubber tired gantry crane deployment for container yard operation. Computers & Industrial Engineering, 45(3), 429-442. google scholar
  • Markscheffel, B., & Schröter, F. (2021). Comparison of two science mapping tools based on software technical evaluation and bibliometric case studies. COLLNET Journal of Scientometrics and Information Management, 15(2), 365-396. google scholar
  • Mollaoglu, M., Gurturk, M., Celik, E., & Gul, M. (2023a). Interval Type-2 Trapezoidal Fuzzy AHP: Evaluation of Sustainable Port Service Quality Factors. In Analytic Hierarchy Process with Fuzzy Sets Extensions: Applications and Discussions (pp. 27-45). Cham: Springer International Publishing. google scholar
  • Mollaoglu, M., Altay, B. C., & Balin, A. (2023b). Bibliometric Review of Route Optimization in Maritime Transportation: Environmental Sustainability and Operational Efficiency. Transportation Research Record, 03611981221150922. google scholar
  • Mollaoglu, M., Yazar Okur, I. G., Gurturk, M., & Doganer Duman, B. (2024). Review on Sustainable Development Goals in maritime transportation: current research trends, applications, and future research opportunities. Environmental Science and Pollution Research, 1-18. google scholar
  • Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106, 213-228. google scholar
  • Murty, K. G., Liu, J., Wan, Y. W., & Linn, R. (2005). A decision support system for operations in a container terminal. Decision support systems, 39(3), 309-332. google scholar
  • Ng, W. C. (2005). Crane scheduling in container yards with inter-crane interference. European Journal of operational research, 164(1), 64-78. google scholar
  • Ng, W. C., & Mak, K. L. (2005). Yard crane scheduling in port container terminals. Applied mathematical modelling, 29(3), 263-276. google scholar
  • Park, Y. M., & Kim, K. H. (2005). A scheduling method for berth and quay cranes. In Container terminals and automated transport systems (pp. 159-181). Springer, Berlin, Heidelberg. google scholar
  • Petering, M. E., & Murty, K. G. (2009). Effect of block length and yard crane deployment systems on overall performance at a seaport container transshipment terminal. Computers & Operations Research, 36(5), 1711-1725. google scholar
  • Peterkofsky, R. I., & Daganzo, C. F. (1990). A branch and bound solution method for the crane scheduling problem. Transportation Research Part B: Methodological, 24(3), 159-172. google scholar
  • Pranckute, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), 12. google scholar
  • Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265-269. google scholar
  • Stahlbock, R., & VoB, S. (2008). Operations research at container terminals: a literatüre update. OR spectrum, 30(1), 1-52. google scholar
  • Steenken, D., Henning, A., Freigang, S., & VoB, S. (1993). Routing of straddle carriers at a container terminal with the special aspect of internal moves. Operations-Research-Spektrum, 15(3), 167-172. google scholar
  • Steenken, D., VoB, S., & Stahlbock, R. (2004). Container terminal operation and operations research-a classification and literatüre review. OR spectrum, 26(1), 3-49. google scholar
  • Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics, 84(2), 523-538. google scholar
  • Vis, I. F., & De Koster, R. (2003). Transshipment of containers at a container terminal: An overview. European journal of operational research, 147(1), 1-16. google scholar
  • Vis, I. F., & Harika, I. (2004). Comparison of vehicle types at an automated container terminal. OR Spectrum, 26(1), 117-143. google scholar
  • Vis, I. F., De Koster, R., Roodbergen, K. J., & Peeters, L. W. (2001). Determination of the number of automated guided vehicles required at a semi-automated container terminal. Journal of the Operational research Society, 52(4), 409-417. google scholar
  • Wang, R., Li, J., & Bai, R. (2023). Prediction and Analysis of Container Terminal Logistics Arrival Time Based on Simulation Interactive Modeling: A Case Study of Ningbo Port. Mathematics, 11(15), 3271. google scholar
  • Yang, C. H., Choi, Y. S., & Ha, T. Y. (2004). Simulation-based performance evaluation of transport vehicles at automated container terminals. OR spectrum, 26(2), 149-170. google scholar
  • Yun, W. Y., & Choi, Y. S. (1999). A simulation model for container-terminal operation analysis using an object-oriented approach. International Journal of Production Economics, 59(1-3), 221-230. google scholar
  • Zeng, Q., & Yang, Z. (2009). Integrating simulation and optimization to schedule loading operations in container terminals. Computers & Operations Research, 36(6), 1935-1944. google scholar
  • Zupic, I., & Cater, T. (2015). Bibliometric methods in management and organization. google scholar
Year 2024, , 175 - 185, 17.05.2024
https://doi.org/10.26650/JTL.2024.1394688

Abstract

References

  • Al-Emran, M., Al-Maroof, R., Al-Sharafi, M. A., & Arpaci, I. (2020). What impacts learning with wearables? An integrated theoretical model. Interactive learning environments, 1-21. google scholar
  • Angeloudis, P., & Bell, M. G. (2011). A review of container terminal simulation models. Maritime Policy & Management, 38(5), 523-540. google scholar
  • Arruda, H., Silva, E. R., Lessa, M., Proença Jr, D., & Bartholo, R. (2022). VOSviewer and bibliometrix. Journal of the Medical Library Association: JMLA, 110(3), 392. google scholar
  • Baker, D. R. (1990). Citation analysis: A methodological review. In Social Work Research and Abstracts (Vol. 26, No. 3, pp. 3-10). Oxford University Press. google scholar
  • Bazzazi, M., Safaei, N., & Javadian, N. (2009). A genetic algorithm to solve the storage space allocation problem in a container terminal. Computers & Industrial Engineering, 56(1), 44-52. google scholar
  • Benantar, A., Abourraja, M. N., Boukachour, J., Boudebous, D., & Duvallet, C. (2020). On the integration of container availability constraints into daily drayage operations arising in France: Modelling and optimization. Transportation Research Part E: Logistics and Transportation Review, 140, 101969. google scholar
  • Bielli, M., Boulmakoul, A., & Rida, M. (2006). Object oriented model for container terminal distributed simulation. European Journal of Operational Research, 175(3), 1731-1751. google scholar
  • Bierwirth, C., & Meisel, F. (2009). A fast heuristic for quay crane scheduling with interference constraints. Journal of Scheduling, 12(4), 345-360. google scholar
  • Bierwirth, C., & Meisel, F. (2015). A follow-up survey of berth allocation and quay crane scheduling problems in container terminals. European Journal of Operational Research, 244(3), 675-689. google scholar
  • Bish, E. K. (2003). A multiple-crane-constrained scheduling problem in a container terminal. European Journal of Operational Research, 144(1), 83-107. google scholar
  • Boyack, K. W., & Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?. Journal of the American Society for information Science and Technology, 61(12), 2389-2404. google scholar
  • Bruzzone, A., & Signorile, R. (1998). Simulation and genetic algorithms for ship planning and shipyard layout. Simulation, 71(2), 74-83. google scholar
  • Chen, L., Bostel, N., Dejax, P., Cai, J., & Xi, L. (2007). A tabu search algorithm for the integrated scheduling problem of container handling systems in a maritime terminal. European Journal of Operational Research, 181(1), 40-58. google scholar
  • Cheung, R. K., & Chen, C. Y. (1998). A two-stage stochastic network model and solution methods for the dynamic empty container allocation problem. Transportation science, 32(2), 142-162. google scholar
  • Crainic, T. G., Gendreau, M., & Dejax, P. (1993). Dynamic and stochastic models for the allocation of empty containers. Operations research, 41(1), 102-126. google scholar
  • Daganzo, C. F. (1989). The crane scheduling problem. Transportation Research Part B: Methodological, 23(3), 159-175. google scholar
  • Dragovic, B., Tzannatos, E., & Park, N. K. (2017). Simulation modelling in ports and Container terminals: literatüre overview and analysis by research field, application area and tool. Flexible Services and Manufacturing Journal, 29, 4-34. google scholar
  • Derse, O., & Göçmen, E. (2018). A Simulation Modelling Approach for Analysing The Transportation of Containers in A Container Terminal System. International Scientific and Vocational Studies Journal, 2(1), 19-28. google scholar
  • Froyland, G., Koch, T., Megow, N., Duane, E., & Wren, H. (2008). Optimizing the landside operation of a container terminal. OR spectrum, 30(1), 53-75. google scholar
  • Gambardella, L. M., Rizzoli, A. E., & Zaffalon, M. (1998). Simulation and planning of an intermodal container terminal. Simulation, 71(2), 107-116. google scholar
  • Grunow, M., Günther, H. O., & Lehmann, M. (2005). Dispatching multi-load AGVs in highly automated seaport container terminals. In Container Terminals and Automated Transport Systems (pp. 231-255). Springer, Berlin, Heidelberg. google scholar
  • Guan, Y., & Cheung, R. K. (2004). The berth allocation problem: models and solution methods. Or Spectrum, 26(1), 75-92. google scholar
  • Hartmann, S. (2004a). A general framework for scheduling equipment and manpower at container terminals. OR Spectrum, 26(1), 51-74. google scholar
  • Hartmann, S. (2004b). Generating scenarios for simulation and optimization of container terminal logistics. Or Spectrum, 26(2), 171-192. google scholar
  • Hwang, H., & Kim, S. H. (1998). Development of dispatching rules for automated guided vehicle systems. Journal of Manufacturing Systems, 17(2), 137-143. google scholar
  • Kemme, N. (2012). Effects of storage block layout and automated yard crane systems on the performance of seaport container terminals. OR spectrum, 34(3), 563-591. google scholar
  • Kim, K. H., & Kim, H. B. (1999). Segregating space allocation models for container inventories in port container terminals. International Journal of Production Economics, 59(1-3), 415-423. google scholar
  • Kim, K. H., & Park, K. T. (2003). A note on a dynamic space-allocation method for outbound containers. European Journal of Operational Research, 148(1), 92-101. google scholar
  • Kim, K. H., Kang, J. S., & Ryu, K. R. (2004). A beam search algorithm for the load sequencing of outbound containers in port container terminals. OR spectrum, 26(1), 93-116. google scholar
  • Kim, K. H., Lee, K. M., & Hwang, H. (2003). Sequencing delivery and receiving operations for yard cranes in port container terminals. International Journal of Production Economics, 84(3), 283-292. google scholar
  • Kim, K. Y., & Kim, K. H. (1999). A routing algorithm for a single straddle carrier to load export containers onto a containership. International Journal of Production Economics, 59(1-3), 425-433. google scholar
  • Kim, K. Y., & Kim, K. H. (2003). Heuristic algorithms for routing yard-side equipment for minimizing loading times in container terminals. Naval Research Logistics (NRL), 50(5), 498-514. google scholar
  • Law, A. M., & Kelton, W. D. (2000). Simulation Modelling and Analysis. google scholar
  • Le-Anh, T., & van der Meer, J. R. (2004). Testing and classifying vehicle dispatching rules in three real-world settings. Journal of Operations Management, 22(4), 369-386. google scholar
  • Legato, P., & Mazza, R. M. (2001). Berth planning and resources optimisation at a container terminal via discrete event simulation. European Journal of Operational Research, 133(3), 537-547. google scholar
  • Legato, P., Mazza, R. M., & Trunfio, R. (2010). Simulation-based optimization for discharge/loading operations at a maritime container terminal. OR spectrum, 32(3), 543-567. google scholar
  • Lim, A. (1998). The berth planning problem. Operations research letters, 22(2-3), 105-110. google scholar
  • Linn, R., Liu, J. Y., Wan, Y. W., Zhang, C., & Murty, K. G. (2003). Rubber tired gantry crane deployment for container yard operation. Computers & Industrial Engineering, 45(3), 429-442. google scholar
  • Markscheffel, B., & Schröter, F. (2021). Comparison of two science mapping tools based on software technical evaluation and bibliometric case studies. COLLNET Journal of Scientometrics and Information Management, 15(2), 365-396. google scholar
  • Mollaoglu, M., Gurturk, M., Celik, E., & Gul, M. (2023a). Interval Type-2 Trapezoidal Fuzzy AHP: Evaluation of Sustainable Port Service Quality Factors. In Analytic Hierarchy Process with Fuzzy Sets Extensions: Applications and Discussions (pp. 27-45). Cham: Springer International Publishing. google scholar
  • Mollaoglu, M., Altay, B. C., & Balin, A. (2023b). Bibliometric Review of Route Optimization in Maritime Transportation: Environmental Sustainability and Operational Efficiency. Transportation Research Record, 03611981221150922. google scholar
  • Mollaoglu, M., Yazar Okur, I. G., Gurturk, M., & Doganer Duman, B. (2024). Review on Sustainable Development Goals in maritime transportation: current research trends, applications, and future research opportunities. Environmental Science and Pollution Research, 1-18. google scholar
  • Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106, 213-228. google scholar
  • Murty, K. G., Liu, J., Wan, Y. W., & Linn, R. (2005). A decision support system for operations in a container terminal. Decision support systems, 39(3), 309-332. google scholar
  • Ng, W. C. (2005). Crane scheduling in container yards with inter-crane interference. European Journal of operational research, 164(1), 64-78. google scholar
  • Ng, W. C., & Mak, K. L. (2005). Yard crane scheduling in port container terminals. Applied mathematical modelling, 29(3), 263-276. google scholar
  • Park, Y. M., & Kim, K. H. (2005). A scheduling method for berth and quay cranes. In Container terminals and automated transport systems (pp. 159-181). Springer, Berlin, Heidelberg. google scholar
  • Petering, M. E., & Murty, K. G. (2009). Effect of block length and yard crane deployment systems on overall performance at a seaport container transshipment terminal. Computers & Operations Research, 36(5), 1711-1725. google scholar
  • Peterkofsky, R. I., & Daganzo, C. F. (1990). A branch and bound solution method for the crane scheduling problem. Transportation Research Part B: Methodological, 24(3), 159-172. google scholar
  • Pranckute, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), 12. google scholar
  • Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, 24(4), 265-269. google scholar
  • Stahlbock, R., & VoB, S. (2008). Operations research at container terminals: a literatüre update. OR spectrum, 30(1), 1-52. google scholar
  • Steenken, D., Henning, A., Freigang, S., & VoB, S. (1993). Routing of straddle carriers at a container terminal with the special aspect of internal moves. Operations-Research-Spektrum, 15(3), 167-172. google scholar
  • Steenken, D., VoB, S., & Stahlbock, R. (2004). Container terminal operation and operations research-a classification and literatüre review. OR spectrum, 26(1), 3-49. google scholar
  • Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics, 84(2), 523-538. google scholar
  • Vis, I. F., & De Koster, R. (2003). Transshipment of containers at a container terminal: An overview. European journal of operational research, 147(1), 1-16. google scholar
  • Vis, I. F., & Harika, I. (2004). Comparison of vehicle types at an automated container terminal. OR Spectrum, 26(1), 117-143. google scholar
  • Vis, I. F., De Koster, R., Roodbergen, K. J., & Peeters, L. W. (2001). Determination of the number of automated guided vehicles required at a semi-automated container terminal. Journal of the Operational research Society, 52(4), 409-417. google scholar
  • Wang, R., Li, J., & Bai, R. (2023). Prediction and Analysis of Container Terminal Logistics Arrival Time Based on Simulation Interactive Modeling: A Case Study of Ningbo Port. Mathematics, 11(15), 3271. google scholar
  • Yang, C. H., Choi, Y. S., & Ha, T. Y. (2004). Simulation-based performance evaluation of transport vehicles at automated container terminals. OR spectrum, 26(2), 149-170. google scholar
  • Yun, W. Y., & Choi, Y. S. (1999). A simulation model for container-terminal operation analysis using an object-oriented approach. International Journal of Production Economics, 59(1-3), 221-230. google scholar
  • Zeng, Q., & Yang, Z. (2009). Integrating simulation and optimization to schedule loading operations in container terminals. Computers & Operations Research, 36(6), 1935-1944. google scholar
  • Zupic, I., & Cater, T. (2015). Bibliometric methods in management and organization. google scholar
There are 63 citations in total.

Details

Primary Language English
Subjects Logistics
Journal Section Review
Authors

Mehmet Gürtürk 0000-0002-8417-1274

Bükra Doğaner Duman 0000-0002-9770-9838

Early Pub Date July 5, 2024
Publication Date May 17, 2024
Submission Date November 22, 2023
Acceptance Date April 25, 2024
Published in Issue Year 2024

Cite

APA Gürtürk, M., & Doğaner Duman, B. (2024). A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer. Journal of Transportation and Logistics, 9(1), 175-185. https://doi.org/10.26650/JTL.2024.1394688
AMA Gürtürk M, Doğaner Duman B. A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer. JTL. May 2024;9(1):175-185. doi:10.26650/JTL.2024.1394688
Chicago Gürtürk, Mehmet, and Bükra Doğaner Duman. “A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer”. Journal of Transportation and Logistics 9, no. 1 (May 2024): 175-85. https://doi.org/10.26650/JTL.2024.1394688.
EndNote Gürtürk M, Doğaner Duman B (May 1, 2024) A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer. Journal of Transportation and Logistics 9 1 175–185.
IEEE M. Gürtürk and B. Doğaner Duman, “A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer”, JTL, vol. 9, no. 1, pp. 175–185, 2024, doi: 10.26650/JTL.2024.1394688.
ISNAD Gürtürk, Mehmet - Doğaner Duman, Bükra. “A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer”. Journal of Transportation and Logistics 9/1 (May 2024), 175-185. https://doi.org/10.26650/JTL.2024.1394688.
JAMA Gürtürk M, Doğaner Duman B. A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer. JTL. 2024;9:175–185.
MLA Gürtürk, Mehmet and Bükra Doğaner Duman. “A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer”. Journal of Transportation and Logistics, vol. 9, no. 1, 2024, pp. 175-8, doi:10.26650/JTL.2024.1394688.
Vancouver Gürtürk M, Doğaner Duman B. A Bibliometric Analysis of Simulation Studies in the Field of Container Logistics Using VOSviewer. JTL. 2024;9(1):175-8.



The JTL is being published twice (in April and October of) a year, as an official international peer-reviewed journal of the School of Transportation and Logistics at Istanbul University.