HD Hyundai Oilbank, 'Digital Innovation' from Process to Worksite

Panoramic view of HD Hyundai Oilbank Daesan Plant. Photo by HD Hyundai Oilbank

HD Hyundai Oilbank is actively promoting digital transformation as part of its management innovation. It is introducing digital technologies from processes to work sites, including big data utilization, smart company transformation, and value chain optimization.

HD Hyundai Oilbank aims to build a smart plant by using big data not only to enhance the safety and productivity of process operations but also to predict equipment failure possibilities in advance and reduce energy consumption.

At work sites, the company is driving a transformation into a smart company. By integrating enterprise-wide data management, it is reducing data gaps that existed between departments and increasing transparency in company-wide communication. Additionally, it is establishing a digital-based decision-making system to foster a paperless culture and is striving to improve employees' data analysis capabilities and digital platform usage skills through regular training.

Since the end of last year, it has been building an optimized process operation system using AI. HD Hyundai Shell Base Oil, an affiliate of HD Hyundai Oilbank, produces various types of products within a single process, requiring optimal operation aligned with changes in the sales prices of each product. HD Hyundai Shell Base Oil is deriving operating conditions that secure optimal profitability by utilizing a self-developed AI model and applying it to process operations.

HD Hyundai Oilbank operates a dedicated digital department composed of about 40 IT experts and field specialists, and has additionally assigned separate digital personnel to each business division to carry out full-scale digital transformation projects.

An HD Hyundai Oilbank official said, "By constructing a model similar to the actual process, we expect to improve productivity and economic efficiency," adding, "We plan to accelerate the transition to a smart plant by applying this to various fields such as safety, environment, crude oil input planning, and product production forecasting in the future."

This content was produced with the assistance of AI translation services.