Using Statistics Analysis to Study Service System Optimization of Capacity- limited Reading Pavilion

DOI

10.2991/icoi-19.2019.132How to use a DOI?

Keywords

Stratified Sampling, Reading Pavilion, Time Series Analysis, Library

Abstract

In order to allow more teachers and students to make good use of the library, it is necessary to optimize the number of existing reading pavilion, reasonably plan the number of future reading pavilion, improve the efficiency of use, reduce the idle rate and waiting time in line, and avoid the loss of readers and waste of resources. Based on statistics, queuing theory, time series prediction and other related theories. Select the Nanyuan Library of Shanghai University of Medicine & Health Sciences as evaluation object to collect data and analyse the key parameters and operational indicators. According to actual operating index parameters and their corresponding ranges, the current optimal configuration description is given. Develop a reasonable budget plan based on analysis and forecast data of time series related statistics.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Kaijun Yu
AU  - Ruiyi Gong
AU  - Longjie Sun
AU  - Rui Wang
PY  - 2019/10
DA  - 2019/10
TI  - Using Statistics Analysis to Study Service System Optimization of Capacity- limited Reading Pavilion
BT  - Proceedings of the 2019 International Conference on Organizational Innovation (ICOI 2019)
PB  - Atlantis Press
SP  - 750
EP  - 753
SN  - 2352-5428
UR  - https://doi.org/10.2991/icoi-19.2019.132
DO  - 10.2991/icoi-19.2019.132
ID  - Yu2019/10
ER  -