The manufacturing industry has evolved over the years from basic water powered systems to cyber physical systems. While adoption of digital technology has already been made in various manufacturing industries, limited efforts has been made in the chemical industry.
The disruptive trends of digitization are a concern for the chemical industry, specifically for the employees adopting to change, as well as for the employers to encourage boosting productivity while implementing effective transformation. It is important for industry leaders to understand the paradigm shift from viewing digitization primarily as a cost, towards seeing it as an engine for innovation, growth and revenue.
Today’s chemical companies need intelligent systems to manage the volume data that is stimulating their industry. Intelligent systems have the potential to transform chemical processing by improving the supply chain and optimizing manufacturing operations. These systems help to enable data capture from devices, offering a variety of business intelligence tools to convert this data into an insightful result. Leading chemical companies are investing billions in IoT and realizing returns such as higher overall equipment effectiveness, reduced cost of quality compliance, and greater return on innovation.
Advanced digital technologies relevant to the chemical industry like IOT, automation, analytics and artificial intelligence will make core operational functions like R&D, manufacturing, and supply chain more efficient, augmenting workforce capabilities. By connecting people, assets, products and services, IOT helps to streamline information flow, enabling real time decisions.
Predictive analytics can help the chemical companies to optimize their maintenance spends and improve asset efficiency. By collecting continuous data from sensors and critical equipment, advanced analytics can identify patterns to predict and diagnose possible breakdowns. In this process, smart equipment can send messages to plant operators about any required maintenance, potential breakdowns, parts ordering, and delivery schedule. This helps the manufacturers to evolve from scheduled or reactive repairs to predictive maintenance. This results in reduction of unplanned downtime and operational expenditure savings.
Our new plant at Dahej, is highly digitized and automated for material consumption, granular information of production processes and real-time yield optimization. It will improve parameters of profitability such as: productivity improvement, performance optimization, reduction in risk, and revenue generation. For relevant and real-time decisions, analytics plays a major role as it helps to collate and analyze complex data and federating results for intelligent decision making. Volumes of data generated during our manufacturing process will be captured by DCS to ensure measurement of accurate parameters thus reducing errors. Data driven decision making is relevant as it will help us to understand the ROI and effectiveness of technological changes introduced in our business operations. We aim to maximize throughput & reduce delivery timelines through this data driven decision making.
We are committed to market quality products to our customers by integrating our business operations with the required technological advancements. This will impact the supply chain by tracking products from our warehouse to transit and finally to the customer ensuring quality and reliability across the value chain.
Dai-ichi’s migration to a more customer centric business model helps us to provide value added products and highly customized solutions. Our experienced team of experts have a clear understanding of our strategic initiatives, and their integration with our technology and processes, to remain at the forefront of the evolving landscape around us.