Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)

Research on Optimization of Engineering Consulting Business Processes Based on Stochastic Petri Net Theory

Authors
Jiarong Li1, *, Yu Zhi1, Mian Wang1, Xiaotong Dai1
1China Automotive Technology & Research Center Co. Ltd, Tianjin, China
*Corresponding author. Email: lijiarong@catarc.ac.cn
Corresponding Author
Jiarong Li
Available Online 11 December 2023.
DOI
10.2991/978-94-6463-308-5_19How to use a DOI?
Keywords
stochastic petri nets; engineering consulting; optimization of processes
Abstract

Under the background of new era and new consulting, the business process is constantly changing, and the advantages and challenges of engineering consulting field coexist. This paper introduces stochastic Petri nets into the field of engineering consulting, models and simulates engineering consulting business processes, and combines the assignment and the equivalence of stochastic petri nets and Markov chains to evaluate and analyze the implementation effect of engineering consulting business processes, and verifies through examples that the method is applicable to business process modeling in the field of engineering consulting and can be used to analyze the relevant performance indexes of the model.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
Series
Atlantis Highlights in Engineering
Publication Date
11 December 2023
ISBN
10.2991/978-94-6463-308-5_19
ISSN
2589-4943
DOI
10.2991/978-94-6463-308-5_19How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Jiarong Li
AU  - Yu Zhi
AU  - Mian Wang
AU  - Xiaotong Dai
PY  - 2023
DA  - 2023/12/11
TI  - Research on Optimization of Engineering Consulting Business Processes Based on Stochastic Petri Net Theory
BT  - Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
PB  - Atlantis Press
SP  - 180
EP  - 187
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-308-5_19
DO  - 10.2991/978-94-6463-308-5_19
ID  - Li2023
ER  -