To achieve digital excellence it is crucial to have a expert supplier of technologies for Industry 4.0 to be able to get the maximum benefit from your processes.
Digital transformation offers many possibilities for the process industry in Spain, from optimizing operations to updating the business model. However, the excess of promises make it difficult to identify what is really needed. Once the value proposition is well understood, the next step is to leave the comfort zone of the organization and adopt new solutions throughout the company, which requires proven approaches to manage change successfully.
At SINCI we facilitate the digital transformation of your company through the following actions:
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Making the right technology decisions
We continually invest in our technological solutions to stay up to date on everything related to software and applications for the improvement of manufacturing processes, OEE, collaborative robots, etc. so that we can help you find the right solutions for your needs.
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Identification of the digital value proposition
We offer validation with technical experts and build a robust digital transformation program that is easily understood and appreciated by all parties involved.
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Help to promote your digital initiative
To be successful in industry 4.0 programs, internal and external promotion are essential components to align stakeholders, convince users and generate enthusiasm within the organization to create a culture based on Big Data and improvement actions.
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reliable partner
SINCI puts at your disposal a solid and experienced team of support engineers who can successfully implement the different industry 4.0 solutions through consulting services.
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Flexible and adaptable
At SINCI we seek to be your provider of technologies for industry 4.0 and for this we establish as a priority, achieving a positive impact on your business regardless of whether they are comprehensive projects, process optimization, continuous improvement work or equipment updating.
Strategies to successfully implement Industry 4.0 solutions
If you want to improve asset performance using the latest digital technologies, you should have an Industry 4.0 technology provider who can help you manage potential setbacks and design and build a cost-effective, practical and tailored solution for ensure that success is achieved.
Industrial digitization projects offer enormous opportunities to increase company productivity, and have the potential to significantly transform a business, but the intended benefits may not come if they are not done right.
Below are some of the more common challenges you may face and examples of success stories. SINCI can plan and offer practical solutions adapted to the objectives to provide greater benefits. SINCI offers a wide range of services, from consulting to the full implementation of Industry 4.0 solutions.
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Translate business needs into IT requirements
Digitization projects are about solving an urgent or chronic business problem. The problem can be as simple as fixing something that isn't working, or upgrading legacy systems to the latest hardware/software, or even something more complex, such as increasing transparency of manufacturing processes to enable faster and more accurate decision making. by managers.
The first two issues present some challenges in terms of selecting the right technology, but in general there will be a number of business solutions to choose from, and they typically do not involve significant business transformation.
The latter problem, however, could involve a multi-layered solution, from smart sensors in the field to the latest visualization tools in the company boardroom. This can be challenging not only in terms of technology selection, but also technology integration and, more importantly, business transformation.
In some extreme cases, a complete breakdown of trust and communication between production, operations and IT departments has also been observed. Therefore, it is key to bridge this language gap by using a digitization engineer, who has enough knowledge to understand the needs of the company at an operational level and the technical expertise to translate them into clear technical and IT requirements.
The result is that all stakeholders come to a common understanding of what it takes to be able to perform their jobs to the best of their ability and deliver a sustainable result that adds value and satisfies the customer and the business.
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Design a solution where there is no standard solution
Another challenge is the absence of a software or a solution that is well suited to the problem.
Many times there is practically no standard software capable of covering the full range of expected applications, so your industry 4.0 technology provider should be able to develop an architectural solution for data analysis that is as customized as possible to the needs of your industry. plant. By laying out the strategic direction and offering technical solutions, SINCI is also able to improve process performance, leading to both business and customer satisfaction.
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Harnessing the cloud, the new frontier of industrial digitization
Digitization initiatives are usually only automation projects that involve the implementation of hardware, industrial process information management systems and performance improvement dashboards. These systems allow a deeper and more efficient monitoring of operations while providing greater agility in decision making. However, with the advancement of the cloud and the availability of robust and advanced open source analytics tools, digitization can provide a platform for deep learning and continuous innovation without the high price of additional hardware or software.
Cloud-based digital transformation goes beyond information technology to achieve true digital empowerment of the workforce within an industrial plant. A cloud process innovation system is ideal for small and midsize businesses that may not have large IT departments or budgets, but need even more to be agile to remain competitive.
The specific benefits are:
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Multiple sources of numerical data, texts, digital images, etc. can be easily combined. providing a gateway to the cloud environment.
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Rapid prototyping of new ideas using scripting languages and/or other open source applications readily available in the cloud as plug 'n play services that provide the freedom and adaptability to rapidly create business-specific analytics on demand
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Quickly take advantage of managed services that enable much faster delivery, without the need to purchase individual pieces of software, without the need to involve IT organizations, etc.
The main advantages observed in the application of these systems are:
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Faster application development without relying on expensive software suites
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Faster project delivery compared to standard MES (Manufacturing Execution System) implementations
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Significant reduction in quality variations and decrease in production losses leading to significant increases in OEE
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Increased revenue combined with increased business agility to respond to market demands for alternative chemicals.
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Building and scaling challenges of AI-based models
AI, networking, and machine learning are mostly synonymous techniques that provide the foundation for analytical reasoning in the cloud. However, the success of these initiatives is often hampered by two issues:
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data complexity: This can lead to long training durations to obtain the required level of accuracy. Therefore, it is necessary to reduce the complexity of the data.
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Model Complexity: Sometimes trying to cast too wide a net as machine learning can do it all.
Domain knowledge in digital transformation solutions should be the key force employed by your provider of technologies for Industry 4.0 to ensure that the complexities of the data and models will be easily overcome and that the projects developed will be robust and specific to each problem.
