From automating production lines to all kinds of equipment, the shift from manual processes to digital technologies holds game-changing potential for the manufacturing industry.
Increasing competition in the manufacturing industry puts pressure on organizations to reduce costs, improve customer experience and increase profitability. Organizations armed with digital forces are disrupting business models with new value propositions, urging manufacturing firms to adopt digital themselves.
But manufacturing has always been slow to harness technology in order to deliver greater efficiency and productivity, especially as more manufacturers adopt digital technologies and Industry 4.0 gains traction. The continued use of legacy systems and antiqued tech, including CRMs, hardware, ERPs, and network infrastructure, inhibits the industry from stepping up its digital transformation game and staying competitive, despite advanced technology available.
Any transformation is successful only after a considerable thought has gone into identifying appropriate transformation areas and embracing a strategy where technology enhances business, increases revenue and optimizes costs.
That’s where Kilowott comes in. We work closely with manufacturing firms to build a balanced combination of traditional manufacturing techniques and recent technologies such as Industrial IoT, AI, data analytics, and machine learning. We understand that emerging markets, streamlined business models, low-risk cost structures, and product innovation are just a few of the challenges for today’s manufacturers. We help manufacturing firms apply a digital lens to every strategic decision enabling them to fundamentally improve, turbo-charging innovation, productivity, agility and customer focus.
We leverage digital technologies to make the transformation process more innovative, fast, scalable, and agile—getting manufacturers ready for the future, today.
Data and IIoT
Industrial IoT technology is transforming traditional, linear manufacturing supply chains into dynamic, interconnected systems. IoT takes networked sensors and intelligent devices and puts those technologies to use directly on the manufacturing floor, collecting data to drive AI and predictive analytics. Manufacturers have detailed real-time data at every point during the manufacturing process and through the distribution chain.
Legacy systems are another aspect of what is holding back many organizations today. They are not only non-scalable, limited business functionality systems, they are also highly cost-intensive in terms of operations and have long development cycles. Manufacturers need to take a hard look at their IT systems and conduct a thorough cost-benefit analysis to understand which technologies are efficient and which are holding them back. They can choose to tolerate, eliminate or modernize them based on their modernization drivers, such as cutting costs, improving efficiency or complying with regulations.
Higher Quality in Plant Operations
Digital transformation helps streamline order flow and production execution, track the transformation of products from raw materials to finished goods, and evaluate and analyse yield, quality, and plant resource utilisation. Digitalisation enables standardisation of operational processes, equipment, and activities for faster gains in productivity, quality, and cost savings in multi-site operations. Digital manufacturing execution reduces production costs by increasing throughput, increases transparency in order fulfillment, reduces variance in product quality, and increases responsiveness to unforeseen events.
Most manufacturers today face the challenge of data silos when it comes to digital transformation. They typically collect data from several sources, and then store that data separately depending on function and relevancy. But it is impossible to draw meaningful insights and see the bigger picture unless all that data is linked and unified. Data unification is the first stepping stone towards moving from a very reactive and intuition-based decision-making system to a more proactive, even predictive data-based decision making system powered by AI.
Perhaps the most exciting and rewarding of all the transformation initiatives is connected manufacturing or a connected factory. This is when devices become employees and monitor status, analyze patterns and predict intelligent insights for the business in real-time. Digital technology solutions can help manufacturers become more responsive and predictive by turning real-time data from sensors and devices into actionable intelligence.
Robotic Process Automation (RPA)
Kilowott has helped several manufacturing clients in their digital transformation projects. Starting from strategy development to planning, implementation, and managed services, we’ve been a solid partner in their digital transformation journey. If you want to adopt digital transformation and pivot your organization, get in touch.
The ngX Framework
Based on our deep design and technical experience across industries we’ve developed a proprietary digital framework, the ngX framework, which is leveraged across all our projects.
The ngX framework consists of the following steps:
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