By implementing a holistic Manufacturing 4.0 platform, Mercury will be able to standardise, streamline, and scale manufacturing operations on a single platform. Ultimately, the Industrial Internet of Things (IIoT) promise allows companies like Mercury to achieve next-level traceability, visibility, productivity, and quality.
Aegis Software, a global provider of Manufacturing Operations Management (MOM) software, reportedly allows discrete manufacturers to rapidly achieve a digital transformation that supports global standardisation and offers extensive configurability to support unique requirements at the local level.
This new breed of Manufacturing 4.0 solution is said to offer unparalleled, adaptable, and contextualised platforms with distinct capabilities and system performance levels to accelerate innovation, increase production efficiency and capacity, reduce costs, elevate quality, and amplify customer satisfaction.
Imtiaz Iqbal, vice president of enterprise systems at Mercury Systems says, “We conducted an extensive evaluation process that included a mix of many commercial MES and ERP solutions to find one that could meet our Manufacturing 4.0 digital transformation objectives. We eventually narrowed it down to Aegis’ FactoryLogix platform and a ERP provider.
After an even more extensive performance benchmarking evaluation process, the team chose FactoryLogix because of its native flexibility, modern architecture, performance, and well-designed user interface as the ideal platform to meet our short- and long-term requirements and objectives.
Aegis’ proven experience and expertise in the aerospace & defense industry, their comprehensive and easily configurable solution platform, and their partnering and collaborative approach were a few of the reasons we selected Aegis.”
Mercury will implement a comprehensive mix of the platform’s capabilities such as production preparation and management, process workflow designer, interactive work instructions, manufacturing execution and tracking, IIoT connectivity & contextualisation, quality management and traceability, MRO (maintenance, repair, and operation), and enterprise reporting.
Jason Spera CEO and co-founder of Aegis Software says, “Mercury is a great example of a fast-growing, innovative manufacturer that recognises the criticality of standardising on the right manufacturing operations platform.
A platform that will provide the adaptability, scalability, and complete visibility required to drive their ongoing differentiation, innovation, and growth. With FactoryLogix as their Manufacturing 4.0 platform, Mercury has a forward-looking, best practice framework that is ideal for their unique aerospace & defence requirements.”
Manufacturing intelligence is one of the significant focus areas in the industrial sector, according to Aegis. Manufacturing organisations are implementing more analytics capabilities than ever before with the hopes of leveraging insights from their machines, people, and processes to drive positive outcomes that ultimately drive revenues. Unfortunately, simply connecting machines, extracting that data, and then hoping for the best is a set up for failure.
A recent survey from LNS Research revealed that there has been a 52% increase in the share of industrial companies with a formal analytics program, a 102% increase in diagnostic capabilities, and a 66% increase in predictive capabilities. However, there is only a 39% increase in prescriptive analytics. This is not surprising given the data challenges that are roadblocks to achieving next-level insights.
Individual metrics by themselves are not sufficient anymore. Robust, contextualised analytics that allows teams to make data-driven decisions are essential for the factory of the future.
In a fast-paced manufacturing environment, effective business analytics depends on three main things. First, operators and other decision-makers need access to an array of data that can help enrich their understanding of the business. Second, they need this information delivered on time, while it can still impact the decision at hand. Third, they need to convert insight into action and execute against opportunities to do things more efficiently. Without context, discrete manufacturers are left with meaningless data.