Staging queues in material handling and transportation systems

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Staging queues in material handling and transportation systems

Full text

Pdf (95 KB)

Source

Winter Simulation Conference archive
Proceedings of the 33nd conference on Winter simulation table of contents

Arlington, Virginia

SESSION: Transportation, logistics, and distribution table of contents

Pages: 1104 - 1108

Year of Publication: 2001

ISBN:0-7803-7309-X

Authors

Kevin R. Gue	Naval Postgraduate School, Monterey, CA
Keebom Kang	Naval Postgraduate School, Monterey, CA

Sponsors

INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
SCS : The Society for Computer Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association

Publisher

IEEE Computer Society Washington, DC, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 25, Citation Count: 1

Additional Information:

abstract references cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

ABSTRACT

In most physical queueing applications, customers join a queue and move forward after each service, leaving room for others to join behind them. Some queues found in material handling and transportation systems do not operate like this because the queued entities (pallets or unoccupied cars, for example) are incapable of moving forward autonomously. We develop a model for the resulting staging queue, and give simulation results for several configurations.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	John J. Bartholdi III , Kevin R. Gue, Reducing Labor Costs in an LTL Crossdocking Terminal, Operations Research, v.48 n.6, p.823-832, November 2000 [doi>10.1287/opre.48.6.823.12397]
	2	Bartholdi, J. J., and K. R. Gue. 2000b. The Best Shape for a Crossdock. Working Paper.
	3	Bartholdi, J. J., K. R. Gue, and K. Kang. 2001. Staging Freight in a Crossdock. In Proceedings of the International Conference on Industrial Engineering and Production Management, forthcoming.
	4	Ricardo Ernst , Panagiotis Kouvelis , Kevin R. Gue, The Effects of Trailer Scheduling on the Layout of Freight Terminals, Transportation Science, v.33 n.4, p.419-428, April 1999 [doi>10.1287/trsc.33.4.419]
	5	Keebom Kang , Kevin R. Gue, Sea based logistics: distribution problems for future global contingencies, Proceedings of the 29th conference on Winter simulation, p.911-916, December 07-10, 1997, Atlanta, Georgia, United States [doi>10.1145/268437.268677]
	6	David W. Kelton , Randall P. Sadowski , Deborah A. Sadowski, Simulation with Arena, McGraw-Hill, Inc., New York, NY, 1997
	7	Louis Y. Tsui , Chia-Hao Chang, A microcomputer based decision support tool for assigning dock doors in freight yards, Computers and Industrial Engineering, v.19 n.1-4, p.309-312, Jan. 1990
	8	Louis Y. Tsui , Chia-Hao Chang, An optimal solution to a dock door assignment problem, Computers and Industrial Engineering, v.23 n.1-4, p.283-286, Nov. 1992