Analysis on container port capacity: a Markovian modeling approach

OR Spectrum

Volumn 36, Issue 2, 2014, Pages 425-454

  Lee, Byung Kwon ^a   Lee, Loo Hay ^a   Chew, Ek Peng ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Markov chain; Operational strategies; Performance measures; Port capacity; Resources

Indexed keywords

EID: 84955635040     PISSN: 01716468     EISSN: 14366304     Source Type: Journal    
DOI: 10.1007/s00291-012-0318-z     Document Type: Article

References (24)

1. Alessandri A, Cervellera C, Cuneo M, Gaggero M, Soncin G (2008) Modeling and feedback control for resource allocation and performance analysis in container terminals. IEEE Trans Intell Transp Syst 9(4):601–614
2. Bassan S (2007) Evaluating seaport operation and capacity analysis–preliminary methodology. Marit Policy Manage 34(1):3–19
3. Chu CY, Huang WC (2005) Determining container terminal capacity on the basis of an adopted yard handling system. Transp Rev 25(2):181–199
4. Daganzo CF (1990) The productivity of multipurpose seaport terminals. Transp Sci 24(3):205–216
5. Easa SM (1987) Approximate queueing models for analyzing harbor terminal operations. Transp Res Part B 21(4):269–286
6. Egbelu PJ, Tanchoco JMA (1984) Characterization of automatic guided vehicle dispatching rules. Int J Prod Res 22(3):359–374
7. Gross D, Shortle JF, Thompson JM, Harris CM (2008) Fundamentals of queueing theory, 4th edn. Wiley, New Jersey
8. Han Y, Lee LH, Chew EP, Tan KC (2008) A yard storage strategy for minimizing traffic congestion in a marine container transshipment hub. OR Spectr 30(4):697–720
9. Horne GE, Irony TZ (1994) Queueing processes and trade-offs during ship-to-shore transfer of cargo. Naval Res Logist 41(9):137–151
10. Hoshino S, Ota J, Shinozaki A, Hashimoto H (2007) Hybrid design methodology and cost-effectiveness evaluation of AGV transportation systems. IEEE Trans Autom Sci Technol 4(3):360–372
11. Kim KH, Kim HB (2002) The optimal sizing of the storage space and handling facilities for import containers. Transp Res Part B 36(9):821–835
12. Kim KH, Park KT (2003) A note on a dynamic space-allocation method for outbound containers. Eur J Oper Res 148(1):92–101
13. Lee BK, Kim KH (2010a) Comparison and evaluation of various cycle-time models for yard cranes in container terminals. Int J Prod Econ 126(2):350–360
14. Lee BK, Kim KH (2010b) Optimizing the block size in container yards. Transp Res Part E 46(1):120–135
15. Murty KG, Liu J, Wan YW, Linn R (2005a) A decision support system for operations in a container terminal. Decis Support Syst 39(3):309–332
16. Murty KG, Wan YW, Liu J, Tseng MM, Leung E, Lai KK, Chiu HWC (2005b) Hongkong international terminals gains elastic capacity using a data-intensive decision-support system. Interfaces 35(1):61–75
17. Petering MEH (2011) Decision support for yard capacity, fleet composition, truck substitutability, and scalability issues at seaport container terminals. Transp Res Part E 47(1):85–103
18. Stahlbock R, Voß S (2008) Operations research at container terminals: a literature update. OR Spectr 30(1):1–52
19. Taleb-Ibrahimi M, de Castilho B, Daganzo CF (1993) Storage space vs handling work in container terminals. Transp Res Part B 27(1):13–32
20. van Hee KM, Wijbrands RJ (1988) Decision support system for container terminal planning. Eur J Oper Res 34(3):262–272
21. Vidovic M, Kim KH (2006) Estimating the cycle time of three-stage material handling systems. Ann Oper Res 144(1):181–200
22. Vis IFA, de Koster R (2003) Transshipment of containers at a container terminal: an overview. Eur J Oper Res 147(1):1–16
23. Wiese J, Suhl L, Kliewer N (2011) Planning container terminal layouts considering equipment types and storage block design. In: Böse JW (ed) Handbook of terminal planning. Springer, pp 219–245
24. Zhang C, Liu J, Wan Y, Murty KG, Linn RJ (2003) Storage space allocation in container terminals. Transp Res Part B 37(10):883–903