Publication Date

1992

Document Type

Dissertation/Thesis

First Advisor

Wang, Ching-Cheng (Professor of industrial engineering)

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Industrial Engineering

LCSH

Information storage and retrieval systems

Abstract

An automatic storage and retrieval system provides the ability to move material without manual intervention and to bring real time information in line with material movement. Efficient space utilization, accurate inventory tracking, reduced costs, increased capacity and minimal inventory are other benefits associated with an automatic storage and retrieval system. The construction of the automatic storage and retrieval system has been a common industrial practice. However, to date no procedure for sizing an automatic storage and retrieval system is available. This thesis presents a successfully applied methodology for sizing an unit load automatic storage and retrieval system. Economic lot sizing, space requirement, unit load size determination, throughput analysis, software and simulation are explored. Examples include use of the Silver-meal formula in lot sizing calculations, use of the square-root economic lot formula, determining the delivery window factor, application of the expansion factor, rough cut sizing using different height/length speed ratios for cranes, cubic space requirements calculations, total number of containers calculations, crane cycle time calculations and a throughput analysis technique. A SLAMM II with FORTRAN simulation is included in the Appendix.

Comments

Includes bibliographical references (pages [65]-66)

Extent

vi, 66, [72] pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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