A leading Asian Petroleum Refining major, with multiple refineries and storage & distribution facilities had implemented AVEVA OSIPI stack (Time-series Historian, Asset Framework, PI Vision) for monitoring process performance in real-time. They had also planned to include data from MES applications (such as LIMS, etc.) and from the ERP system to compute advanced performance markers (KPI), which would also be visualized in real-time on PI Vision. This required seamless integration of streaming data from MES and ERP systems to AVEVA OSI PI.
Manufacturers face challenges when utilizing IT and OT data for cloud-scale analytics and data lake projects due to technical debts and complexities within their systems. Establishing seamless connectivity and efficient data ingestion processes are key obstacles in achieving real-time cloud analytics. Overcoming these challenges is essential for manufacturers to fully leverage the cloud's capabilities and gain valuable insights to drive operational excellence.
UNLSH makes it extremely easy, to ingest data from multiple data-sources such as SAP, any MES application, Sales & Distribution applications, etc. It enables effortless Exploration, Ingestion, Modeling & Blending, Calculations (KPI and KOP) and delivery of data to AVEVA OSI PI, both in tabular and time-series form, through any suitable interface such as UFL, Restful API, ODBC or Database Access.
Purpose built for operations data (ERP, MES, Historian, OPC, etc.), designed for citizen data engineers, Ingest from ANY data sources and serve to ANY (Cloud, Viz, etc.), Homogenization & Harmonizations, Data pipeline, Data-Ops, Calculation Engine, Digital Twin, IT to OT transformations, built-in IT & OT storage, and flexible storage (store & forward or direct store at cloud PaaS, laaS, etc.)
Optimization of even a single critical KOP (Key Operating Parameter) has significant impact for manufacturers, as will be shown in this case study – it highlights the bottom-line impact of optimizing a single petroleum refining KOP widely known as the coil-out-temperature. There are thousands of such parameters & KPIs/KOPs in any industrial operation where AI/ML-driven optimization can translate to substantial economic outcomes.
This case study is about the Oil & Gas Production Operations of the customer. The customer operates a significant scale of fields in production and plans to increase its asset base. As such, their goal was to gain end-to-end visibility into their operations to minimize hiccups while they scale.
The Supply Chain of any CPG company is central to its operational fluidity and profitability. Digitalizing the entire span of a legacy supply chain would be considered a tall order by most because of the expenses involved and capabilities needed to handle the complexities. Moreover, success is also not guaranteed.
In the Process Manufacturing Industry, the cost of asset maintenance is approximately 35%- 43% of the total cost of operations (excluding raw material cost). However, maintenance is a critical function in any manufacturing operation to ensure business continuity, reduce unplanned downtime, avoid accidents, etc.
Today, we wanted to share a case study about a customer for whom we were able to deliver immense value. The customer is one of the largest global Petrochemical companies with numerous operations across geographies. This case study is about their largest Petrochemical Complex, with a focus on the Naphtha Cracking Operations.
Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impact on the production outflow. Inadequate visibility into demand or poor planning leads to oversupply of some products while stock-outs of others. The effect of stock-outs is often overlooked and can have a significant direct impact on the bottom-line.
We often hear about Smart Factories, Smart Manufacturing, Plant Automation, etc. Most of the Industrial Digitalization/Digital Transformation and Industry 4.0 applications focus on digitalizing the manufacturing processes, improving production, and shop-floor visibility. However, very few companies talk about making their supply-chain smart or adopting digitalization towards individual aspects of the supply chain.
Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.
Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.
Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.
Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.
Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.Planning and managing inventory flow is one of the most critical functions for a manufacturer. Too much of something not just blocks working capital but leads to all sorts of other problems. On the other hand, deficiency of even the smallest of parts/ inputs can have a significant impacts on the profit & loss margins.
