Business process insight

Analyze the data collected from the operation to plan and validate improvement strategies. Business process insight, combined with a data-driven approach, guides business decisions for solid and sustainable growth.

Analyze the collected data and validate improvement strategies

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Presentation

Optimizing industrial operations through comprehensive workflow analysis

Industrial operations are caretterized by a very heterogeneous context of measures and actions to be tracked. Highly automated environments coexist with manual actions influenced by people's decisions. Describing and objectively measuring workflows is an unavoidable necessity in order to achieve more efficient and sustainable processes. Today's challenge focuses on the ability to analyze to get the right insights. Identifying the relationships between products, consumption, and production assets with respect to organizational choices can bring improvements that can go even beyond expectations.

Your Challenges and Stakes

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Visibility on processes

An industrial workflow involves assets that can be very different from each other, based on different technologies and sometimes located in different places. All of this is strongly influenced by the manual actions of people.
Having visibility into processes means having connected assets and digitized procedures, allowing you to be able to monitor and measure the activities performed. Starting with an organized source of data describing the history of operations enables identification and opportunities for improvement

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Measuring processes

Continuous improvement activities require objective measurement of asset performance and work time. Starting with reliable data, the synthesis of indicators makes it possible to keep track of actual process performance. Analysis over medium to long time periods makes it possible to measure the effectiveness of organizational change actions. In the short term, on the other hand, when shared with field staff, they can increase goal focus and motivation.

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Data-driven approach

A data-driven analytical approach allows for more confident identification of areas of focus to achieve significant improvements. However, it often starts with independent and unstructured initiatives that lead to onerous data retrieval and report synthesis activities. Extemporaneous activities that discourage a data-driven approach.
Equipping oneself with comprehensive, self-actualized tools to analyze process performace simplifies and accelerates the ability to identify the right business process insights. Therefore, there is a need to create a comprehensive data model with which to navigate different data sources.

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AVEVA software to support Business Process Insight

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Process Data Collection

Capture machine data and contextualize it with operational information (process stage, batch, maintenance status...) that depends on manual actions or other software systems. Historize them over long periods and enable quick access to people or analysis systems to identify the right business process insights.

Modelling processes

Reduce paper and manual actions using Business Process Management tools. Design flows of actions, approvals, and task assignments, integrating different management systems and providing a tool for coordinating operational staff. Enable an analysis of processes and their execution times by measuring the timing of each activity and identifying critical issues.

Operation KPI

Track and measure production steps, with particular reference to asset availability. Catalog asset states and standardize the collection and analysis of utilization times and actual performance. Down Time Analysis and OEE allow objective measurement of which assets and procedures to intervene on to optimize processes.

Report & Dashboard

Design reports and automate their generation and distribution: on-demand, periodic or event-based. Visualize in a single tool the synthesis of data from different systems and allow them to be navigated through dynamic dashboards. Reduce time spent managing data in favor of time spent analyzing it and identifying the right Business process insights.

AVEVA software for business processes insight

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AVEVA Work tasks

Design workflows to manage, execute and document operational processes, replacing manual processes and paper documentation with an electronic workflow.

Production management

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AVEVA MES Performance

Tracks each phase of an asset or line's life and allows you to measure its perforamance and calculate metrics such as OEE.

Production management

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AVEVA Reports for Operations

Provides the tools to generate and share reports from different industry data sources. A simple environment to design industrial reports.

Data management

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Go further in optimizing production with AVEVA software.

Andon monitoring system

Inventory management

Paperless factory & processes digitalization

Advanced Planning & Scheduling

Quality control

Work order management

People are a key factor within production environments. Providing timely information on the status of work allows for shorter reaction times and greater involvement of the workforce. To achieve the best return on investment from a digitalization project, it is therefore crucial to ensure that the collected information is always and everywhere available.

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The manufacturing world increasingly needs flexible production processes in order to adapt to market demands: variable demand with peaks that are not easily predictable or new products that need to be brought to market quickly add up to a raw material availability that is not always optimal due to more volative supply chains. It is therefore critical to ensure that available resources are tracked and exploited to ensure their availability and best meet production schedules.

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Meeting market demands while optimizing available resources requires that each production step be prepared to the best of its ability. Planning resource utilization in terms of raw materials, personnel and machinery brings significant benefits in terms of increasing capacity and reducing waste. In addition, an organization of resources increases adherence to planned delivery times through more accurate lead time estimation and optimizes inventory management. In terms of sustainability, more efficient plans allow for lower energy and material consumption and greater operational flexibility.

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Quality control is crucial for attaining a competitive edge. It ensures customer satisfaction by upholding products to established standards and expectations, thereby reducing operating costs through waste reduction and minimizing the necessity for rework.
Compliance with industry-specific regulations is another crucial aspect of quality control, as it ensures that products comply with legal and safety requirements, thereby avoiding potential penalties and litigation.
Finally, quality control plays a critical role in enterprise risk management, as it helps prevent defective product recalls, legal implications and damage to the company's reputation.

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Manufacturing order management represents a priority challenge for factories in conducting their production operations. At the heart of this management lies the delicate balance between meeting delivery deadlines, maintaining product quality, and optimizing resource use. Demand fluctuations, variability in material delivery times, and the need to continuously adjust production plans make the task even more challenging. Effective manufacturing order management is not only crucial for meeting customer expectations in terms of speed and quality; it also plays a key role in reducing production costs and minimizing waste and downtime.

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