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New Sinamics G115D Distributed Drive System Specifically Designed for Conveyor Applications

Sinamics G115D

New Sinamics G115D Distributed Drive System Specifically Designed for Conveyor Applications

Comprised of the drive, motor and gear box, this new distributed drive system is available as a complete solution for motor-mounted and wall-mounted horizontal motion control conveyor applications. 

With its new Sinamics G115D, Siemens is introducing a new, compact and powerful drive system specifically designed for horizontal conveyor applications. The drive system comprises the motor, drive and gearbox in one unit and is offered in two versions — wall-mounted and motor-mounted. 

The Sinamics G115D drive system is characterized by a robust design with a high IP protection class (up to IP66 / UL Type 4X) and is suitable for use in harsh environments. Thanks to its compact dimensions, the Sinamics G115D can be easily installed in confined areas. The drive system can also be operated reliably over a wide temperature range of -30 to 55 degrees Celsius (-22 to 131 degrees Fahrenheit), enabling operation in deep freezing applications.

Sinamics G115D is suitable for applications in intra-logistics and airports, as well as in the automotive and food and beverage industries. Its power ranges from 0.37 to 7.5 kilowatts
(1/2 to 10 hp) for wall-mount applications and 0.37 to 4 kilowatts (1/2 to 5 hp) for motor-mounted applications. The drive system can be put into operation quickly and easily with comprehensive integration into the Totally Integrated Automation (TIA) portal including Startdrive commissioning software or the Sinamics Smart Access Module (SAM) web-server for Wi-Fi setup and diagnostics. 

To be prepared for digital transformation and to enable cloud-based analysis, Sinamics G115D is integrated into the entire MindConnect portfolio and is compatible with MindSphere applications such as Analyze MyDrives.

Thanks to Profisafe, the Sinamics G115D has Safety Integrated in the form of STO (Safe Torque Off) SIL2, which standardizes and facilitates the certification process. For flexibility in terms of installation, service, and maintenance, the solution is equipped with a plug-in connector and flexible connection possibilities. The device is particularly suitable for interaction with Simatic controllers such as the Simatic S7-1200 or Simatic ET200 for motion control.  

Siemens offers warranty extensions for Sinamics G115D through its Service Protect package. As part of this service package, an additional one or two-year warranty extension may be purchased for failure coverage. The package offers simplified processing under normal warranty conditions for an extended period.

With its new Sinamics G115D, Siemens presents a new, compact, and powerful drive system specifically designed for horizontal conveyor applications.

For more information regarding Sinamics G115D, please visit:

For specific product information and inquiries, send an e-mail to:   


Siemens Digital Industries (DI) is an innovation leader in automation and digitalization. Closely collaborating with partners and customers, DI drives the digital transformation in the process and discrete industries. With its Digital Enterprise portfolio, DI provides companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Optimized for the specific needs of each industry, DI’s unique portfolio supports customers to achieve greater productivity and flexibility. DI is constantly adding innovations to its portfolio to integrate cutting-edge future technologies. Siemens Digital Industries has its global headquarters in Nuremberg, Germany, and has around 75,000 employees internationally.

Siemens Corporation is a U.S. subsidiary of Siemens AG, a global powerhouse focusing on the areas of power generation and distribution, intelligent infrastructure for buildings and distributed energy systems, and automation and digitalization in the process and manufacturing industries. Through the separately managed company Siemens Mobility, a leading supplier of smart mobility solutions for rail and road transport, Siemens is shaping the world market for passenger and freight services. Due to its majority stakes in the publicly listed companies Siemens Healthineers AG and Siemens Gamesa Renewable Energy, Siemens is also a world-leading supplier of medical technology and digital healthcare services as well as environmentally friendly solutions for onshore and offshore wind power generation. For more than 160 years, the company has innovated and invented technologies to support American industry spanning manufacturing, energy, healthcare and infrastructure. In fiscal 2018, Siemens USA reported revenue of $23.7 billion, including $5.0 billion in exports, and employs approximately 50,000 people throughout all 50 states and Puerto Rico.

analytics centre

Why Organizations Today Need an Analytics Centre of Excellence

Today, anyone can easily get started with analytics. But without an internal center of excellence, it’s impossible to unlock their full value.

Today, analytics capabilities are easier to access and engage with than ever before. Virtually anyone can use streamlined cloud-based open-sourced analytics tools to start generating insights.

However, as many teams that have experimented with these tools will have experienced, when a single line of business team embarks on an analytics project without expert assistance and a joined-up approach, the results often fall very short of expectations.

The cornerstones of long-term analytics success

In practice, what you get out of an analytics project depends entirely on what you put in.

To get the best results, uncover the strongest actionable insights, and deliver the highest levels of value to the business, all analytics projects and initiatives need three key things:

#1) Well-maintained and clearly defined data

To be successful, analytics demands clean data from multiple sources – all clearly defined and regularly maintained by an expert data team. This should be data that’s already in the organization’s systems and in use, or from outside agencies, social media, etc., to ensure that analytics outputs are reflective of the true state of operations today and are capable of unleashing the potential.

#2) Automated, actionable outputs

Good analytics models deliver insights that people across teams can easily turn into meaningful actions immediately. These outputs should also be automated, so teams are repeatedly served with the insights they need, as often as they’re required, without further effort.

#3) A scalable foundation

Finally, analytics model ecosystems should be scalable. As the volumes and types of data that fuel them grow and change, the model should be able to grow and change alongside them – ensure it can continue to deliver value for teams long into the future. That also means being deployable at scale, so the solution can ultimately serve as many users across as many teams as required.

The power of an enterprise-wide view

To put those three things in place, you need to build an enterprise-wide view, and a team responsible for analytics delivery that connects:

Your business team: The people that shape and understand what an organization needs to get from analytics

Data and analytics experts: The people who understand data and how to model it, and ultimately hold the skills needed to create automated analytics models

IT professionals: The people with the skills to deploy analytics models as workable solutions, run them in a live ecosystem, and maintain the sources of analytical insights

Bringing those people together under one team is the foundation of an analytics Centre of Excellence (CoE). By combining the expertise and viewpoints of these groups, you can ensure all analytics projects:

-Are expertly created to deliver the highest-quality outputs

-Will continue to deliver long-term value through automated insight delivery

-Are aligned with the needs of the business as a whole – not just an individual team

The five reasons all organizations need an analytics CoE

The value of an analytics CoE goes far beyond just ensuring that analytics services, solutions and insights are created and deployed to a high standard. Here are five ways analytics CoEs add business value that organizations often overlook:

#1) Starting your journey with a clear roadmap

The adoption and use of analytics represents a significant transformation for most organizations. These models and the insights they generate can radically impact how a business operates, from the day-to-day process, right up to influencing its strategic direction. Transformation of that kind requires careful planning.

An analytics CoE team can carefully plan out an organization’s analytics transformation roadmap. That means acquiring and building the right capabilities and skills, and developing models and processes that will deliver long term value for everyone.

#2) Enabling continuous improvement and delivery

When individual teams are managing their own analytics processes, nobody else has any visibility of those projects, so they can’t learn from the successes and failures of that project.

With one team responsible for analytics delivery, every project brings new lessons learned that can be used to continuously improve the organization’s other analytics models. This supports a continuous delivery approach where the company’s analytics capabilities and insights keep getting stronger.

#3) Becoming future-ready

An analytics CoE can take a far more strategic approach to analytics projects than any individual line of business could. When building new models, they can look beyond the team’s immediate need, and ensure that what they create and deliver will meet tomorrow’s needs as well as today’s.

That could mean ensuring that a model will support unstructured data types like social media data for example, even if its first iteration will be fuelled purely by structured data. Or, the platform in use is scalable and can handle insight generation, on a real-time basis.

#4) Supporting data governance and compliance

Beyond simply creating models and delivering insights to the organization, the analytics CoE team can also become powerful custodians of data – performing essential maintenance tasks that keep data clean and well-structured.

Having a team directly responsible for this ensures that analytics output quality remains high. But, it also helps support data governance and compliance efforts. The CoE team can define, maintain and closely monitor access rights, and help ensure that data and insights are only accessible by the right people at the right time.

#5) Ensuring high adoption and engagement across the organization

To see value from analytics, your teams need to understand how to access and use them properly. The analytics CoE team plays an important role here, as both educators and advocates for analytics adoption.

Having the analytics CoE in place helps ensure high engagement with analytics, as teams across the business have a single defined place to direct their questions, and can access dedicated assistance whenever they need it.

Build your analytics CoE with The Smart Cube

When you have an analytics CoE, you have everything you need to ensure long-term analytics success in one place. You’ll immediately be able to better meet the demands of the entire business today, while simultaneously preparing for whatever new data or insight challenges tomorrow might bring.

Find out more about The Smart Cube’s Analytics Centre of Excellence solution, or contact us today.