Detail Publikasi
Abstrak
This research is to develop integrated model for cost value analysis using big data and artificial intelligence technology in General Company for Hydraulic Industries for efficiency of performance and environmental sustainable informance at the GC for Hydraulic Industries. due to economic and environmental problems it is become more and more imperative to use advanced technology to analyze the data and to improve the process. This model is based on the use of artifcial intelligence techniques (e.g., machine learning or big data analysis) to analyze big data, which is available in the company, in order to fndpatterns and trends that impact the production cost and operational efciency.The model tries to provide solutions for reducing the costs of energy and resources, as well as environmental impact of power plants and industrial processes in general. By this it intends to offer the latest solutions in the reduction of operational costs, the enhancement of information on resource use, and of mitigating the consequences to. And application level of the model, where the hydraulic domain is our specifc application domain – resource-related data, energy- related data, production quality and environmental- related data are all considered. They anticipate this model to provide new perspectives in improving operations and con-tinuing to drive change towards environmental sus-tainability, competitiveness, and corporate social responsibility. The work includes a detailed consideration of how the big data and arti-fcial intelligence technologies are employed in this context with practical company examples.Through this study performance enhancement and environmental pollution reduction has been achieved.