Fuelling Innovation and Development
Data Science in the Chemical Sector
The chemical sector forms the basis for the manufacturing industry. Chemical products are an important starting point for production. A national and international network between the chemicals sector and nearly every other sector exists.
After several crises in the past years, the sector recovered well and now has the chance to establish itself as an active engine of the future on the world market. It is essential to exploit the existing big data potential with data analyses and use the results to optimize processes and take a step towards the future. In order to promote the protection of resources and the environment such a modern industry is essential.
The environmental and climate policy has been an impediment for the chemical sector for years. Monitoring mechanisms on the basis of real-time analyses can help transform existing procedures into more transparent and revisable ones. Moreover the chemical industry contributes to climate protection as the customer demand asks for sustainable products and processes.
Cost and Delivery Pressure
Powerful and successful chemical companies are expected to be especially reliable and efficient in production and supply combined with low costs. Using analytical methods, a reliable system can be established despite time and cost pressure. With this system unexpected breakdowns and resulting expenses can be avoided.
The increasing electricity prices pose a market barrier to the German chemical industry. Thereby they experience a competitive disadvantage that can only be balanced by an effective energy planning and scheduling as well as optimization.
Chemistry and Big Data
Insights gained from data analysis can be useful for the chemical industry in numerous ways. In times of an increasingly competitive international environment, shorter product life cycles and faster technological leaps, it is essential to have resource-saving, efficient and reliable industry processes that guarantee a consistent high quality of production.The optimized maintenance and attendance of machines can be an example of such a technique.
Predictive analytics support companies to reach their aim of having an optimized maintenance procedure. Based on available machine data and information concerning production processes as well as environmental data, casual relationships enabling significant prediction models can be determined.
Condition monitoring and predictive maintenance are the future of this development: as a starting point of the future-orientated project Industry 4.0 predictive maintenance stands for generating and using information with the goal of approaching the creation of a smart factory. The sensor-based real-time analysis of diverse machine data enables significantly improved forecasting capacities about the condition of the production facilities.
It lays the foundation for a higher planning reliability and a more efficient proactive repair and maintenance work schedule to avoid breakdowns.
Supply Chain Management
Analyzing casual links the degree of the automation of production plants can be increased to attain a better utilization and product quality.
Just as with predictive maintenance, big data analyses can bring crucial competitive advantages to the time and cost driven supply chain. Whether it is ad-hoc calculations of raw material availability or actual raw material prices, the constant transparency of the material flow, or the planning of future production processes – big data helps improve processes effectively.
We support you
We can help you transform your big data volume into reliable insights and concrete solutions so that you can benefit from a great advantage.
We can support you by applying our broad analytical methodologies that can be adjusted individually to your requirements and provide added value to you. We will gladly advise you about predictive analytics (predictive maintenance), data mining and optimization procedures providing you with a sound basis for your corporate planning and simplifying your occupational schemes.
This will also enable you to optimize your general process and plan them more efficiently. With results as a service we offer a scalable framework for individual solutions based on available modules. Immediately available, target-aimed, integrated and easy to handle. In our approved trainings on the powerful programming language R, we share our knowledge with you enabling you to convert big data into smart data on your own.