
Research on Traceability Modelling of Tobacco Production Quality Based on Information Synergy
Author(s) -
Chun Li,
Daoyuan Ji,
Bingyang Lv,
Shun Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1646/1/012124
Subject(s) - traceability , production (economics) , quality (philosophy) , tracing , computer science , risk analysis (engineering) , business , software engineering , operating system , philosophy , epistemology , economics , macroeconomics
To improve the quality of tobacco production accurate traceability, this paper is based on “Quality Information Resource Pool” formed by tobacco production management information system, constructing a causal traceability model of tobacco production quality, researching and development of traceability algorithm for tobacco production quality based on extended event graph. The quality traceability of raw materials, silk, tobacco and cigarette batches was realized successfully, the real-time and accuracy of quality tracing in tobacco production are improved.