Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-28T03:44:13.106Z Has data issue: false hasContentIssue false
  • English
  • Français

Carousel system performance

Part of: Special processes Operations research and management science

Published online by Cambridge University Press:  14 July 2016

Byung Chun Park ,
Jae Young Park  and
Robert D. Foley
Byung Chun Park*
Affiliation:
Keimyung University
Jae Young Park*
Affiliation:
Deloitte Consulting Korea
Robert D. Foley*
Affiliation:
Georgia Institute of Technology
*
∗Postal address: Department of Industrial Engineering, Keimyung University, Taegu, Korea. Email address: bcpark@kmu.ac.kr
∗∗Postal address: Deloitte Consulting Korea, 84 Taepyeongno 1-ga, Chung-gu, Seoul, Korea
∗∗∗Postal address: School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Get access Rights & Permissions [Opens in a new window]

Abstract

We analyse the performance of a material handling system consisting of two carousels and one picker. We derive expressions for the system throughput and picker utilization. We work out the throughput and picker utilization for two different pick-time distributions: deterministic, which might be a reasonable model when a robot is picking, and exponential, which might be a reasonable model when a person is picking.

Keywords

Carouselorder pickingthroughpututilizationautomated storage/retrieval system

MSC classification

Primary: 90B22: Queues and service
Secondary: 90B05: Inventory, storage, reservoirs 60K30: Applications (congestion, allocation, storage, traffic, etc.)
Type
Research Papers
Information
Journal of Applied Probability , Volume 40 , Issue 3 , September 2003 , pp. 602 - 612
Copyright
Copyright © Applied Probability Trust 2003 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bartholdi, J. J., and Platzman, L. K. (1986). Retrieval strategies for a carousel conveyor. IIE Trans. 18, 166–173.CrossRefGoogle Scholar
Bengü, G. (1995). An optimal storage assignment for automated rotating carousels. IIE Trans. 27, 105–107.CrossRefGoogle Scholar
Durrett, R. (1996). Probability: Theory and Examples, 2nd edn. Wadsworth, Pacific Grove, CA.Google Scholar
Han, M. H., McGinnis, L. F., and White, J. A. (1988). Analysis of rotary rack operation. Material Flow 4, 283–293.Google Scholar
Kim, W. B., and Koenigsberg, E. (1987). The efficiency of two groups of N machines served by a single robot. J. Operat. Res. Soc. 38, 523–538.CrossRefGoogle Scholar
Van den Berg, J. P. (1996). Multiple order pick sequencing in a carousel system: a solvable case of the rural postman problem. J. Operat. Res. Soc. 47, 1504–1515.CrossRefGoogle Scholar
Wen, U.-P., and Chang, D.-T. (1988). Picking rules for a carousel conveyor in an automated warehouse. OMEGA: Internat J. Manag. Sci. 16, 145–151.CrossRefGoogle Scholar