Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)

Research on Inspection Scheduling Optimization Model Based on Different Inspection Periods

Authors
Linjing Yan, Nan Wang
Corresponding Author
Linjing Yan
Available Online August 2018.
DOI
10.2991/icesem-18.2018.136How to use a DOI?
Keywords
Floyd algorithm; Scheduling model; Inspection route; Optimization
Abstract

Scheduling problem serves as a common problem both for production and daily life, and the scheduling system has been increasingly emphasized and widely applied with the help of information technology. In this paper, the inspection network of a chemical plant is abstracted as an undirected graph, and the shortest walk time between any inspection points is obtained by means of the Floyd algorithm based on graph theory. Moreover, based on the principle of humanized scheduling, the effective inspection work is defined, and a mathematical model is established and solved by combining the relative balance of the workload and minimizing the staff, and a better scheduling effect is realized.

Copyright
© 2018, 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/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2018
ISBN
978-94-6252-557-3
ISSN
2352-5398
DOI
10.2991/icesem-18.2018.136How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Linjing Yan
AU  - Nan Wang
PY  - 2018/08
DA  - 2018/08
TI  - Research on Inspection Scheduling Optimization Model Based on Different Inspection Periods
BT  - Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)
PB  - Atlantis Press
SP  - 591
EP  - 595
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesem-18.2018.136
DO  - 10.2991/icesem-18.2018.136
ID  - Yan2018/08
ER  -