Publications

Group highlights

(For a full list see below or go to Google Scholar)

Optimal parameters in concession contracts between container terminal operators and investors

International investments in the port development become popular including the cases of Chinese companies who are continuously signing concession contracts with many other countries to promote the Belt and Road Initiative. One important issue in a concession contract between an investor and a container terminal operator is how the rental fee is calculated. This study discusses how the port investor optimises the parameters of fixed and variable rental fees for both the cases with a deterministic and an uncertain cargo demand. This study analyzes cases with an uncertain cargo demand in which terminal operators and the port investor may have the same or different degrees of uncertainty on cargo demand. The uncertainty in the cargo demand was found to decrease the revenue of the port investor and increase the profits of the terminal operators..

Yanjie Zhou and Kap Han Kim

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A game theoretic model and a coevolutionary solution procedure to determine the terminal handling charges for container terminals

A game theoretic model was proposed for multiple container terminals competing with each other to maximize their own profits by determining their terminal handling charges (THCs) that affect the market shares of terminals. The pricing model can describe both the competitive and cooperative games. The congestion cost of the terminals was also considered in the cost term, and revenue sharing rental fee schemes with two-step unit fees were analyzed. To overcome the difficulty in obtaining the Nash Equilibrium of the THCs for container terminals, this study proposed a coevolution-based procedure that adopts the neighborhood structure on toroidal grids and supports localized interactions among species. The numerical experiments showed that both the cost model with the congestion cost and the revenue sharing scheme help improve the total profit of the port. In addition, the results obtained by the coevolution-based procedure in this study were compared with those in previous studies.

Yanjie Zhou and Kap Han Kim

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Optimal concession contract between a port authority and container-terminal operators by revenue-sharing schemes with quantity discount

This paper proposes a method for designing an optimal concession contract under various revenue-sharing schemes with a quantity discount between a port authority and two container-terminal operators. The revenue-sharing scheme with an incremental or all-unit quantity discount provides a discount on the unit fee per container when the amount of cargo of a container terminal is over a predefined breakpoint, which is one of the popular methods for boosting the traffic volume of a port. This study defines a Stackelberg two-stage game model, in which the port authority determines the parameters of the revenue-sharing scheme to maximize its total revenue in the first stage, and two container-terminal operators compete with each other to maximize their profit by determining the terminal handling charge in the second stage. Numerical experiments show that the revenue-sharing scheme with a quantity discount results in higher revenue to the port authority than that from the traditional revenue-sharing scheme with a single rate. Moreover, revenue sharing with an all-unit discount provides higher revenue than that with an incremental discount in almost all the experimental results.

Yanjie Zhou and Kap Han Kim

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Linking soft computing to art: Introduction of efficient k-continuous line drawing

This paper proposes a method for designing an optimal concession contract under various revenue-sharing schemes with a quantity discount between a port authority and two container-terminal operators. The revenue-sharing scheme with an incremental or all-unit quantity discount provides a discount on the unit fee per container when the amount of cargo of a container terminal is over a predefined breakpoint, which is one of the popular methods for boosting the traffic volume of a port. This study defines a Stackelberg two-stage game model, in which the port authority determines the parameters of the revenue-sharing scheme to maximize its total revenue in the first stage, and two container-terminal operators compete with each other to maximize their profit by determining the terminal handling charge in the second stage. Numerical experiments show that the revenue-sharing scheme with a quantity discount results in higher revenue to the port authority than that from the traditional revenue-sharing scheme with a single rate. Moreover, revenue sharing with an all-unit discount provides higher revenue than that with an incremental discount in almost all the experimental results.

Yanjie Zhou and Gyu Min Lee

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Full List

Journal Publications

  1. Xu C., Jing Y., Shen B., Zhou Y. $^\dagger$, & Zhao Q. Q., (2022). Cost-sharing contract design between manufacturer and dealership considering the customer low-carbon preferences, Expert Systems With Applications (inpress).
  2. Shi Y. , Zhou Y. $^\dagger$, Boudouh T.,& Grunder O., (2022). A memetic algorithm for a relocation-routing problem in green groduction of gas considering uncertainties  . Swarm and Evolutionary Computation, 74, 101129. PDF, Supplemental material PDF
  3. Dui, H., Chen, S.,Zhou, Y.$^\dagger$, & Wu, S. (2022). Maintenance analysis of transportation networks by the traffic transfer principle considering node idle capacity. Reliability Engineering & System Safety, 221, 108386. PDF
  4. Feng, P., Fu, J., Ge, Z., Wang, H., Zhou, Y.$^\dagger$, Zhou, B., & Wang, Z., (2022), Unsupervised semantic-aware adaptive feature fusion network for arrhythmia detection, Information Sciences, 582, 509-528. PDF
  5. Wang, H., Huang M., Wang H., Feng X., &Zhou, Y.$^\dagger$ (2022). Contract design for the fourth party logistics considering tardiness risk, International Journal of Industrial Engineering Computations, 13(1), 13-30. PDF
  6. Wang, H., Zhou, Y.$^\dagger$, Zhou, B., Niu, X., Zhang, H., & Wang, Z., (2021). Interactive ECG annotating: An artificial intelligence method for smart ECG manipulation, Information Sciences, 581, 42-59. PDF
  7. Wang, H., Dai, H., Zhou, Y.$^\dagger$, Zhou, B., Lu, P., Zhang H., & Wang, Z., (2021). An effective feature extraction method based on GDS for atrial fibrillation detection. Journal of Biomedical Informatics, 119, 103819. PDF
  8. Dou, R., Li, W., Nan, G., Wang, X.,& Zhou, Y. (2021). How can manufacturers make decisions on product appearance design? A research on optimal design based on customers’ emotional satisfaction. Journal of Management Science and Engineering, 6(2), 177-196. PDF
  9. Tiwari S., Wee M. H., Zhou, Y., & Tjoeng L. (2021). Freight consolidation and containerization strategy under business as usual scenario & carbon tax regulation. Journal of Cleaner Production, 279, 123270. PDF
  10. Zhou Y., & Lee G. M. (2020). A bi-objective medical relief shelter location problem considering coverage ratios. International Journal of Industrial Engineering: Theory, Applications and Practice, 27(4), 971-988. PDF
  11. Shi Y. , Zhou Y. $^\dagger$, Ye W.,& Zhao Q. Q., (2020). A relative robust optimization for a vehicle routing problem with time-window and synchronized visits considering greenhouse gas emissions. Journal of Cleaner Production, 275, 124112. PDF
  12. Shi Y. , Zhou Y. $^\dagger$, Boudouh T.,& Grunder O., (2020). A lexicographic-based two-stage algorithm for vehicle routing problem with simultaneous pickup-delivery and time window. Engineering Applications of Artificial Intelligence, 95, 103901. PDF
  13. Zhou Y., & Kim K. H. (2020). Optimal parameters in concession contracts between container terminal operators and investors. International Journal of Logistics Research and Applications, 23(6) 602-625. PDF
  14. Zhou Y., & Kim K. H. (2020). A game theoretic model and a coevolutionary solution procedure to determine the terminal handling charges for container terminals. Computer & Industrial Engineering, 144, 106466. PDF
  15. Zhou Y., & Kim K. H. (2019). Optimal concession contract between a port authority and container-terminal operators by revenue-sharing schemes with quantity discount. Maritime Policy & Management. PDF, Supplemental material PDF.
  16. Gu J., Zhou Y., Das A., Moon I., & Lee G. M. (2018). Medical relief shelter location problem with patient severity under a limited relief budget. Computers & Industrial Engineering, 125, 720–728. PDF
  17. Zhou Y., & Lee G. M. (2018). Linking soft computing to art: Introduction of efficient k-continuous line drawing. Applied Soft Computing, 68, 932–943. PDF
  18. Gao X., Zhou Y., Amir M. I. H., Rosyidah F. A., & Lee G. M. (2017). A hybrid genetic algorithm for multi-emergency medical service centers location-allocation problem in disaster response. International Journal of Industrial Engineering: Theory, Applications and Practice, 24(6), 663–679. PDF
  19. Gao Y., Zhou Y., Zhou B., Shi L., & Zhang J. (2017). Handling data skew in mapreduce cluster by using partition tuning. Journal of Healthcare Engineering, 2017. PDF
  20. Zhou Y., & Lee G. M. (2017). A lagrangian relaxation-based solution method for a green vehicle routing problem to minimize greenhouse gas emissions. Sustainability, 9(5), 776. PDF

Conference Publications

  1. Wang, H., Zhou, Y.$^\dagger$, Zhou, B., & Wang, Z. (2021). A Novel Method for Detection of ECG with Deep Learning. In 2021 7th International Conference on Computer and Communications (ICCC) (pp. 631-635). IEEE. doi:10.1109/ICCC54389.2021.9674506 (December 10-13, 2021, Chengdu, China )
  2. Gao, Y., Zhou, B., Zhou, Y., Shi, L., Tao, Y., & Zhang, J. (2018). Transfer learning-based behavioural task decoding from brain activity. In The international conference on healthcare science and engineering (pp. 71–81). Springer. doi:10.1007/978-981-13-6837-0_6. (June 1-3, 2018, Guangxi, China.)
  3. Zhou, B., Zhou, Y., Xu, M., & Wu, F. (2014). Computation-aware motion estimation algorithm based on qoe control. In 2014 ieee computers communications and it applications conference (pp. 261–265). IEEE. doi:10.1109/ComComAp.2014.7017207. (October 20-22, 2014, Beijing, China.)

Conference Presentations

  1. Zhou, Y., & Liu G. (2021). A deep learning method to predict container throughput for inland port. In The 10th International Conference on Logistics and Maritime Systems (LOGMS 2021). (Oct 29-31, 2021, Zhejiang, China.)
  2. Shi, Y., Zhou, Y., & Zhao Q. (2021). A zone-based pricing for vehicle routing problem with time window and stochastic demand. In The 10th International Conference on Logistics and Maritime Systems (LOGMS 2021). (Oct 29-31, 2021, Zhejiang, China.)
  3. Zhou, Y., & Kim, K. H. (2019). Competition and Cooperation among Vessel Carriers in Feeder Network Design The 2nd Y-RIB International Conference (December 1-3, 2019, Chongqing, China.) Out Standing Paper Award
  4. Zhou, Y., & Kim, K. H. (2019). A note on optimizing the concession contracts for landlord port authorities to max- imise fee revenues. In The 4 th international conference of supply chain and technology innovation (ICOSTI 2019). (August 13-15, 2019, Busan, Korea.)
  5. Zhou, Y., & Kim, K. H. (2019). Competition and collaboration among express delivery companies. In The 9th international conference on logistics and maritime systems (LOGMS 2019). (August 14-16, 2019, Singapore, Singapore.)
  6. Zhou, Y., & Kim, K. H. (2019). Optimal rental charge schedule between the port authority and container terminals under various contract schemes. In The 27th annual conference of the international association of maritime economists 2019 (IAME 2019 ). (June 25-28, 2019, Athens, Greece.)
  7. Zhou, Y., & Kim, K. H. (2019). Terminal location and sharing problem in a competitive environment. In The 4th belt and road initiative conference 2019(BRI 2019). (August 1-3, 2019, Bangkok, Thailand.)
  8. Zhou, Y., Choi, S.-H., & Kim, K. H. (2018). Determining rental charges by a port authority considering container han- dling prices by terminals. In The 19th asia pacific industrial engineering and management systems (APIEMS 2018). (December 5-8, 2018, Hong Kong, China.)
  9. Zhou, Y., & Kim, K. H. (2018). Optimal concession contract between the port authority and container terminals by a royalty fee scheme. In The 8th international conference on logistics and maritime systems (LOGMS 2018). (December 9-12, 2018, Guangzhou, China.)
  10. Zhou, Y., Kim, K. H., & Kim, J. G. (2018). A coevolutionary approach to pricing container handles by container termi- nals. In The seventh international conference on transportation and logistics (7th T-LOG). (September 8-10, 2018, Dalian, China.)
  11. Zhou, Y., & Lee, G. M. (2018). A robust mathematical model for capacity planning in semiconductor industry under demand uncertainty. In 2018 ieee international conference on smart manufacturing, industrial & logistics engineering. (February 7-9, 2018, Hsinchu, Taiwan.)
  12. Tuladhar, U. M., Zhou, Y., Lee, G. M., & Ahn, S. (2017). Design and implementation of segmentation algorithm for artistic drawing using 2-axis computer numerical controller. In The 7th international conference on manufacturing, machine design and tribology. (April 19-22, 2017, Jeju, Korea.)
  13. Zhou, Y., Das, A., Gao, X., & Lee, G. M. (2017). A biobjective mathematical programming for medical relief shelter lo- cation problem. In The second global conference on theory and applications of or & om for sustainability. (September 6-8, 2017, Beijing, China.) Best Paper Award
  14. Gu, J., Zhou, Y., & Lee, G. M. (2016). Medical relief shelter location considering the severity of patients under limited relief budget. In The 46th international conference on computers & industrial engineering. (October 29-31, 2016, Tianjin, China.) Best Student Paper Award
  15. Zhou, Y., & Lee, G. M. (2016). Linking the optimization to the art; an efficient k-continuous line drawing using image segmentation, stippling, and the traveling salesman problem. In The 2016 international symposium on semiconductor manufacturing intelligence. (August 7-10, 2016, Hsinchu, Taiwan.)