Abstract
Designs of seaport container terminals involve three major infrastructure components: berth, container yard, and gate. In addition, Information Technology (e.g. terminal operations system, gate automation, and wireless handhelds) is becoming an integral component of container terminals. Beyond these traditional components, an emerging and potentially effective strategy, terminal planners need to consider to improve gate throughput, is the appointment system. Not only the use of an appointment system by a terminal can facilitate the movement of trucks in and out of the terminal, it can also help the terminal to manage its labor and yard resources. There are challenges to designing an effective appointment system. In this paper, two aspects of the appointment system are examined to provide insight to terminal planners. One parameter of an appointment system is the cap (i.e. limit) on the number of trucks that can enter a zone in the yard per time window. Limiting truck arrivals can be beneficial to some extent; however, if the caps are not set properly, it could be detrimental to both the terminal and truckers. The effect of limiting truck arrivals on crane utilization will be explored in this paper. A second aspect of the appointment system that will be examined in this paper is the scheduling rules (individual appointment system versus block appointment system) and their effects on resource utilization and truck turn time in grounded operations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bailey N (1952) A study of queues and appointment systems in hospital outpatient departments, with special reference to waiting-times. Journal of the Royal Statistical Society, Series B (Methodological) 14(2):185–199
Bailey N (1954) Queuing for medical care. Applied Statistics 3(3):137–145
Giuliano G, O’Brien T (2007) Reducing port-related truck emissions: The terminal gate appointment system at the ports of Los Angeles and Long Beach. Transportation Research Part D 12(7):460–473
Harper P, Gamlin H (2003) Reduced outpatient waiting times with improved appointment scheduling: A simulation modelling approach. OR Spectrum 2:207–222
Healy K (1992) Scheduling arrivals to a stochastic service mechanism. Queueing Systems 12(3–4):257–272
Ho C, Lau H (1992) Minimizing total cost in scheduling outpatient appointments. Management Science 38(12):1750–1764
Huynh N (2005) Methodologies for Reducing Truck Turn Times at Marine Container Terminals. PhD Thesis, The University of Texas at Austin, Austin
Huynh N (2009) Reducing truck turn times at marine terminals with appointment scheduling. Transportation Research Record (2100):47–57
Huynh N, Walton C (2007) Evaluating truck turn time in grounded operations using simulation. World Review of Intermodal Transportation Research 1(4):357–386
Huynh N, Walton C (2008) Robust scheduling of truck arrivals at marine container terminals. Journal of Transportation Engineering 134(8):347–353
Ioannou P, Chassiakos A, Jula H, Valencia G (2006) Cooperative Optimum Time Window Generation for Cargo Delivery/Pick up with Application to Container Terminals. Final Project Report (03–18), METRANS Transportation Center, University of Southern California & California State University Long Beach, California
Isken M, Ward T, McKee T (1999) Simulating Outpatient Obstetrical Clinics. In: Farrington P, Nembhard H, Sturrock D, Evans G (eds) WSC ’99: Proceedings of the 31st Winter Simulation Conference, Association for Computing Machinery, New York, pp 1557–1563
Kelton W, Sadowski R, Sturrock D (2007) Simulation with Arena, 4th edition. McGraw-Hill, Boston
Klassen K, Rohleder T (1996) Scheduling outpatient appointments in a dynamic environment. Journal of Operations Management 14:83–101
Longbotham S (2004) The Web and Appointment Systems or a More Causative Marine Terminal/Port? ITS America Conference Presentation, ITS America, San Antonio (Texas)
McManus M, Long M, Cooper A, Mandell J, Berwick D, Pagano M, Litvak E (2003) Variability in surgical caseload and access to intensive care services. Anesthesiology 98(6):1491–1496
Morais P, Lord E (2006) Terminal Appointment System Study. Report (TP 14570E). Transportation Development Centre (ed), Online Publication: http://www.tc.gc.ca/media/documents/policy/14570e.pdf, Montréal (Quebec), 102 pp
Namboothiri R, Erera A (2006) A Column Generation Heuristic for Local Drayage Routing given a Port Access Appointment System. METRANS Transportation Center (ed), Online Publication: www.metrans.org/nuf/documents/erera_nambo.pdf, California, 20 pp
Namboothiri R, Erera A (2008) Planning local container drayage operations given a port access appointment system. Transportation Research Part E 44:185–202
PierPASS Inc (2010) About PierPASS. http://pierpass.org/about/, accessed September 12, 2010
Soriano A (1996) Comparison of two scheduling systems. Operations Research 14:388–397
Stahlbock R, Voß S (2008) Operations research at container terminals: a literature update. OR Spectrum 30(1):1–52
Steenken D, Voß S, Stahlbock R (2004) Container terminal operation and operations research – a classification and literature review. OR Spectrum 26(1):3–49
Welch J (1964) Appointment systems in hospital outpatient departments. Operational Research Quarterly 15(3):224–237
Welch J, Bailey N (1952) Appointment systems in hospital outpatient departments. The Lancet 259(6718):1105–1108
White M, Pike M (1964) Appointment systems in outpatient’s clinics and the effect of patients’ unpunctuality. Medical Care 2:133–145
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Huynh, N., Walton, C.M. (2011). Improving Efficiency of Drayage Operations at Seaport Container Terminals Through the Use of an Appointment System. In: Böse, J. (eds) Handbook of Terminal Planning. Operations Research/Computer Science Interfaces Series, vol 49. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8408-1_16
Download citation
DOI: https://doi.org/10.1007/978-1-4419-8408-1_16
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-8407-4
Online ISBN: 978-1-4419-8408-1
eBook Packages: Business and EconomicsBusiness and Management (R0)