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Bibliographic Details
Main Author: Leimkuhler, F. F.
Format: Recurso educativo Open Access
Language:en
Published: 1967
Subjects:
Online Access:https://eric.ed.gov/?id=ED028783
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author Leimkuhler, F. F.
author_facet Leimkuhler, F. F.
Leimkuhler, F. F.
collection Education Resources Information Center
contents Mathematical Models for Library Systems Analysis. Leimkuhler, F. F. Automation College Libraries Computers Information Storage Library Equipment Library Planning Mathematical Models Operations Research Research Libraries Sampling Simulation Systems Analysis The paper reviews the research on design and operation of research libraries sponsored by the Purdue University Libraries and the Purdue School of Industrial Engineering. The use of mathematical models in library operations research is discussed. Among the mathematical methods discussed are marginal analysis or cost minimization, computer simulation, and statistical inference. The shelving models, storage and retrieval models, and search and file organization models developed by the Purdue operations research group are described. (CC)
format Recurso educativo Open Access
id eric_ED028783
institution ERIC Institute of Education Sciences
language en
publishDate 1967
record_format eric
spellingShingle Mathematical Models for Library Systems Analysis.
Leimkuhler, F. F.
Automation
College Libraries
Computers
Information Storage
Library Equipment
Library Planning
Mathematical Models
Operations Research
Research Libraries
Sampling
Simulation
Systems Analysis
Mathematical Models for Library Systems Analysis. Leimkuhler, F. F. Automation College Libraries Computers Information Storage Library Equipment Library Planning Mathematical Models Operations Research Research Libraries Sampling Simulation Systems Analysis The paper reviews the research on design and operation of research libraries sponsored by the Purdue University Libraries and the Purdue School of Industrial Engineering. The use of mathematical models in library operations research is discussed. Among the mathematical methods discussed are marginal analysis or cost minimization, computer simulation, and statistical inference. The shelving models, storage and retrieval models, and search and file organization models developed by the Purdue operations research group are described. (CC)
title Mathematical Models for Library Systems Analysis.
topic Automation
College Libraries
Computers
Information Storage
Library Equipment
Library Planning
Mathematical Models
Operations Research
Research Libraries
Sampling
Simulation
Systems Analysis
url https://eric.ed.gov/?id=ED028783