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Simulation of distribution systems: simulation and analysis of non-automated distribution warehouses

Authors:

Soemon Takakuwa,

Hiroki Takizawa,

Kumiko Ito,

Shinichiro HiraokaAuthors Info & Claims

WSC '00: Proceedings of the 32nd conference on Winter simulation

Pages 1177 - 1184

Published: 10 December 2000 Publication History

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Abstract

The distribution warehouse is located between manufacturers and customers. Storage facilities are designed around four primary functions: holding, consolidation, break-bulk, and mixing. In addition, materials handling within a storage-handling system reduces to three primary activities: loading and unloading, movement to and from storage, and order filling. Generally, it is more difficult to build a simulation model for a non-automated warehouse than for AS/RS, because materials handling is much more complicated. In this study, a procedure to build simulation models for move-store activities of complicated and non-automated distribution warehouses is proposed. The simulation model here is designed to execute together with the program for generating parameters of materials handling. Then, simulation analysis is performed, using a simulation model built by the proposed procedure.

References

[1]

Ballou, R. H. 1992. Business Logistics Management, Third edition, Englewood Cliffs, NJ: Prentice-Hall.

Google Scholar

[2]

Gunal, A, E. Grajo, and D. Blanck. 1993. Generalization of an AS/RS in SIMAN/CINEMA. In Proceedings of the 1993 Winter Simulation Conference, 857-865. Piscataway, NJ: Institute of Electrical and Electronics Engineers.

Digital Library

Google Scholar

[3]

Harmonosky, C. M. and R. P. Sadowski. 1984. A simulation model and analysis: integrating AGV's with non-automated material handling. In Proceedings of the 1984 Winter Simulation Conference, 178-183. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[4]

Kelton, W. D., R. P. Sadowski, and D. A. Sadowski (1998) Simulation with ARENA, McGraw-Hill, New York, NY.

Digital Library

Google Scholar

[5]

Medeiros, D. J., E. E. Enscore, and A. Smith. 1986. Performance analysis of miniload systems. In Proceedings of the 1986 Winter Simulation Conference, 606-612. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[6]

Muller, D. 1989. AS/RS and warehouse modeling. In Proceedings of the 1989 Winter Simulation Conference, 802-810. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[7]

Pegden, C. D., R. E. Shannon, and R. P. Sadowski. 1994. Introduction to simulation using SIMAN. 2nd ed., McGraw-Hill, Inc., New York.

Digital Library

Google Scholar

[8]

Pulat, B. M. and P. S. Pulat. 1989. Performance analysis of automatic storage and retrieval system - a comparative approach. In Proceedings of the 1988 Winter Simulation Conference, 591-596. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[9]

Takakuwa, S. 1989. Module modeling and economic optimization for large-scale AS/RS. In Proceedings of the 1989 Winter Simulation Conference, 795-801. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[10]

Takakuwa, S. 1994. Precise modeling and analysis of large-scale AS/RS. In Proceedings of the 1994 Winter Simulation Conference, 1001-1007. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[11]

Takakuwa, S. 1995. Flexible modeling and analysis of large-scale AS/RS-AGV systems. In Proceedings of the 1995 Winter Simulation Conference, 873-880. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[12]

Takakuwa, S. 1996. Efficient module-based modeling for a large-scale AS/RS-AGV system. In Proceedings of the 1993 Winter Simulation Conference, 851-856. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

Cited By

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Yang WTakakuwa S(2015)Simulation-based analysis of import cargo-handling operations on a container terminalProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888842(1960-1971)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888842
Clausen UDabidian PDiekmann DGoedicke IPöting MHill RKuhl M(2013)Analysis of assignment rules in a manually operated distribution warehouseProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2675822(3430-3439)Online publication date: 8-Dec-2013
https://dl.acm.org/doi/10.5555/2675983.2675822
Liu YTakakuwa SYücesan E(2010)Enhancing simulation as a decision-making support tool for a cross-docking center in a dynamic retail-distribution environmentProceedings of the Winter Simulation Conference10.5555/2433508.2433766(2089-2100)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433766
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Simulation of distribution systems: simulation and analysis of non-automated distribution warehouses
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WSC '00: Proceedings of the 32nd conference on Winter simulation

December 2000

2014 pages

ISBN:0780365828

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Society for Computer Simulation International

San Diego, CA, United States

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Published: 10 December 2000

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WSC00: Winter Simulation Conference

December 10 - 13, 2000

Florida, Orlando

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Yang WTakakuwa S(2015)Simulation-based analysis of import cargo-handling operations on a container terminalProceedings of the 2015 Winter Simulation Conference10.5555/2888619.2888842(1960-1971)Online publication date: 6-Dec-2015
https://dl.acm.org/doi/10.5555/2888619.2888842
Clausen UDabidian PDiekmann DGoedicke IPöting MHill RKuhl M(2013)Analysis of assignment rules in a manually operated distribution warehouseProceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World10.5555/2675983.2675822(3430-3439)Online publication date: 8-Dec-2013
https://dl.acm.org/doi/10.5555/2675983.2675822
Liu YTakakuwa SYücesan E(2010)Enhancing simulation as a decision-making support tool for a cross-docking center in a dynamic retail-distribution environmentProceedings of the Winter Simulation Conference10.5555/2433508.2433766(2089-2100)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433766
Medina LBilsel RWysk RPrabhu VRavindran ADunkin AIngalls R(2009)Simulation for predictive control of a distribution centerWinter Simulation Conference10.5555/1995456.1995787(2426-2435)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995787
Liu YTakakuwa SDunkin AIngalls R(2009)Simulation-based personnel planning for materials handling at a cross-docking center under retail distribution environmentWinter Simulation Conference10.5555/1995456.1995786(2414-2425)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995786
Takakuwa SWijewickrama AJefferson TFowler JIngalls R(2008)Optimizing staffing schedule in light of patient satisfaction for the whole outpatient hospital wardProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517007(1500-1508)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517007
Buil RPiera M(2007)New warehouse design methodology at strategic and operational levelProceedings of the 6th WSEAS international conference on System science and simulation in engineering10.5555/1974442.1974472(196-201)Online publication date: 21-Nov-2007
https://dl.acm.org/doi/10.5555/1974442.1974472
Takakuwa SKatagiri DTew J(2007)Modeling of patient flows in a large-scale outpatient hospital ward by making use of electronic medical recordsProceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come10.5555/1351542.1351812(1523-1531)Online publication date: 9-Dec-2007
https://dl.acm.org/doi/10.5555/1351542.1351812
Magableh GRossetti MMason S(2005)Modeling and analysis of a generic cross-docking facilityProceedings of the 37th conference on Winter simulation10.5555/1162708.1162989(1613-1620)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1162989
Takakuwa SShiozaki H(2004)Functional analysis for operating emergency department of a general hospitalProceedings of the 36th conference on Winter simulation10.5555/1161734.1162108(2003-2011)Online publication date: 5-Dec-2004
https://dl.acm.org/doi/10.5555/1161734.1162108
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