The rush towards Industry 4.0 has pushed companies in digital transformation mode. The success is not just in having connected systems,
but to be able leverage on all that data, derive insights through analytics and achieve excellence.
Drive process optimization and improve quality
With the advent of digital transformation in factories, organizations are now able to capture critical process data, and maintain a digital trail. Analyzing the data and making intelligent decisions on process optimization and quality improvement helps manufacturing group achieve unprecedented overall equipment efficiency (OEE) levels.
Allegiance AI powered analytics suite ARSAN-OEE™ helps develop intricate details on your process variants and the dashboard report arms your process and quality decision makers to act quickly and improve yields on your process reducing overall defect rejects.
Supply chain management teams have a daunting task of production planning, raw material supply, inventory stocking planning – the biggest challenge of it all: how can you accurately plan it all while managing your costs. The final piece of the puzzle is for companies to achieve satisfactory levels of on time to delivery (OTD).
Allegiance AI offers ARSAN-OTD™ suite leverages our domain knowledge in SCM analytics and planning to help your operations team manage the entire production life cycle of your products – to achieve the final goal of managing optimum levels of products available on the shelf (AOS) and achieve on time to delivery (OTD) as defined key performance indicators.
Asset monitoring is critical step in digital transformation for organizations that manage or service them. Asset management is a complex operation and connected systems generate large amounts of operational data, which if analyzed can generate critical insights into the systems functions, provide information on system health and advise operators on predictive maintenance.
Allegiance AI with its ARSAN-PM™ platform and domain knowledge on predictive maintenance and analytics, can help operators derive those important insights into asset performance, proactively manage predictive maintenance plans and further support the operations with prescriptive analytics on system health and how to reduce downtime and improve performance.
