학술논문

Development of a Neuro-Fuzzy System for Assessing Information Management on the Shop Floor
Document Type
Periodical
Source
IEEE Access Access, IEEE. 8:207063-207075 2020
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Accidents
Information management
Oils
Computer aided software engineering
Biological system modeling
Inspection
Urban areas
ANFIS
information management
internal communication
organizational communication
shop floor communication
Language
ISSN
2169-3536
Abstract
Communication problems are directly or indirectly related to the causes of industrial accidents. This may be associated with problems in information management at the operational level. Before evaluating information management on the shop floor, a documentary analysis was carried out in this study to identify problems in the communication among the causes of 5 accidents in the oil sector in Brazil. After documentary analysis, an adaptive neuro-fuzzy inference system (ANFIS) was developed to assess information management on the shop floor. A case study was developed with a sample of 120 respondents through the application of a survey. Managers, supervisors, and operators from a land-based oil production region participated in this study. The documentary analysis identified communication problems in 53% of the reports. The neuro-fuzzy model performed well, with the root mean square error (RMSE) being 0.229 in training and 0.296 in data verification. The results suggest that the ANFIS method can be successfully applied to establish a model of analysis of information management on the shop floor.