Integration Objects
Transforming Manufacturing Data into Insightful Bytes

Digitization is transforming today’s manufacturing industry to opt for efficient working models in disparate production practices. However, staying economically viable and maintaining effective processes throughout the manufacturing process is often a grievous challenge. “The manufacturing sector is struggling to keep the heads up in the sea of challenges that includes high operation costs, unplanned events and mismanaged resources,” begins Samy Achour, President and Founder, Integration Objects. “Furthermore, the real challenge lies in swiftly addressing process disturbances or abnormal conditions that pilots into many other issues such as broken schedule, quality, production, energy consumption, asset protection, and consequently profitability.” Headquartered in, Houston, TX, Integration Objects renders highly advanced analytical application that converts historic manufacturing data into insightful bytes of information. The extracted data is leveraged by operators to gain in-depth understanding of the processes and craft fruitful decisions.

Integration Objects’ analytical platform, ‘KnowledgeNet Analytics’ and its suite of products, allows to model knowledge in the form of complex and abnormal event detection, expert rules, performance computation, advanced analytical and regression models and workflows to represent best practices, and deploy them online. “Also, KnowledgeNet uses the existing knowledge to tie the dots together and empower end-users to make faster, accurate and more informed decisions, that positively impact the bottom line,” says Achour.

In addition, Integration Objects’ OPC tunneling solution protects process control and industrial networks against any non-authorized applications and users as well as malicious attacks. “It allows to carry process data for enterprise applications with the guarantee of data integrity,” notes Achour.

Integration Objects advanced solutions cover a wide range of Manufacturing Operational Management (MOM) applications. The applications focus on key issues that can impact safety and production. Users—from operators in the control room to senior management, interact with Integration Objects’ applications through graphical dashboards that notify any forecasted or detected drop in operations performance, along with the root cause of the problem and recommendation of correction action.

KnowledgeNet specially provides significant reduction of the cycle time to detect and diagnose a specific problem and the added value maximizes the cost effectiveness of any operations

“KnowledgeNet specially allows users a significant reduction of the cycle time to detect and diagnose a specific problem and the added value will maximize the cost effectiveness of any operations,” Achour.

Integration Objects has served its clients in a big way to solve complex issues with its unique and powerful products portfolio. In one instance, the customers in a refinery facility had started facing problems during transition modes such as change of grade, start up and shutdowns, longer time to diagnose process disturbances, over consumption of expansive raw material and at times, unplanned shutdowns. “In fact, their problems grew significantly when some of their most senior operators retired,” states Samy Achour. Ever since Integration Objects deployed its systems, the refinery facility did not have a single plant shutdown, or production slowdown.

Maintaining their focus on serving the manufacturing sector, Integration Objects has developed a deep understanding of the needs and challenges of this industry. The company has packaged its technology to be deployed in a very short time. “In fact, our software products have been designed such that it is very simple to implement without the need of having a systems or software engineer,” says Achour.

Moving forward, Integration Objects is investing primarily in developing vertical applications that can address specific customer’s problems with high return on investment. “We are in the process of designing and developing a machine learning technology that will be a breakthrough in the manufacturing world,” concludes Achour.