Exploration of Full Data Audit Path for Tool Management in Manufacturing Enterprises
- DOI
- 10.2991/978-94-6463-030-5_168How to use a DOI?
- Keywords
- component; full life cycle; full data audit; manufacturing enterprises
- Abstract
Under the severe situation that the group promotes reform through cases, how audit supervision can play a more in-depth supervision role in the field of tool management, prevent micro corruption and find possible micro corruption clues in daily management is another important research content of audit work. Among them, tooling tools are the necessary guarantee for parts production. They are “small assets” for recycling and involve the whole process management of high-value tools. They are one of the important contents of the economic responsibility audit business of enterprise leaders leaving office. This paper starts with the whole life cycle management of tools, analyzes the data structure of important forms in the process, explores the establishment of a full data retrieval path for audit doubts, finds problems and puts forward suggestions for improvement. The tool management audit review has inspired the thinking of the risk oriented audit paradigm based on the big data environment, and has a good reference value for the same type of audit projects.
- 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 - Yangpeng Zhu AU - Hairong Zhang PY - 2022 DA - 2022/12/20 TI - Exploration of Full Data Audit Path for Tool Management in Manufacturing Enterprises BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 1648 EP - 1656 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_168 DO - 10.2991/978-94-6463-030-5_168 ID - Zhu2022 ER -