The essence in developing and improving new and existing services, products and technologically advanced and complex systems.

Research and Development (R&D), known in Europe as Research and Technological Development (RTD), refers to innovative activities undertaken by corporations or governments in developing new services, products or systems, or improving existing services, products or systems. Research and technological development constitutes the first stage of development of a potential new service or the production process.

New product / system design, development and continuous improvement is often a crucial factor in the survival of a company. In a global industrial landscape that is changing fast, firms must continually revise their design and range of products, systems and services, including constantly aligning to new customer- and market requirements by continuous improvement work. This is necessary as well due to the fierce competition and the evolving preferences of consumers. Without an RTD programme, companies must rely on strategic alliances, acquisitions, and networks to tap into the innovations of others.

On this page you will find links to reports and analysis on the trends of the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry within Research and Technological Development (RTD) provided by Bring2Mind Consulting AB as well as external studies conducted by several repetitive organisations and consulting agencies.

To support researchers within our community, in planning research and development activities, we collect and present comparative analysis of existing reports, articles and tools categorized based on the scope of coverage of the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry architecture layers.

We compare existing large-scale testbeds that have been adopted by researchers for examining physical prototypes and simulations. Finally, we discuss several open challenges of current simulators and testbeds that need to be addressed by the research community to conduct large-scale, robust and effective simulation, and prototype evaluations.

Bring2Mind Consulting AB

What is the Internet of Things (IoT) ?

The Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.

Connected things can signal their environment, be remotely monitored, controlled – and increasingly, make decisions and take actions on their own. The real value happens when devices learn from their specific use and from each other. It happens when devices can adapt, change behavior over time and tune their responses based on what they learn. When you think IoT, think AI – that is, the artificial intelligence of things (AIoT).

The Internet of Things (IoT) vision is increasingly being realized to facilitate convenient and efficient human living. To conduct effective IoT research using the most appropriate tools and techniques, we discuss recent research trends in the IoT area along with current challenges faced by the IoT research community. Several existing and emerging IoT research areas such as lightweight energy-efficient protocol development, object cognition and intelligence, as well as the critical need for robust security and privacy mechanisms will continue to be significant fields of research for IoT. IoT research can be a challenging process spanning both virtual and physical domains through the use of simulators and testbeds to develop and validate the initial proof-of-concepts and subsequent prototypes.

The definition of the Internet of things has evolved due to the convergence of multiple technologies, real-time analytics, machine learning, commodity sensors, and embedded systems. Traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others all contribute to enabling the Internet of things. In the consumer market, IoT technology is most synonymous with products pertaining to the concept of the smart home, covering devices and appliances (such as lighting fixtures, thermostats, home security systems and cameras, and other home appliances) that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smartphones and smart speakers.

Digital twins are virtual replicas of physical devices that data scientists and IT pros can use to run simulations before actual devices are built and deployed. They are also changing how technologies such as IoT, AI and analytics are optimized.

Digital twin technology has moved beyond manufacturing and into the merging worlds of the Internet of Things, artificial intelligence and data analytics.

As more complex “things” become connected with the ability to produce data, having a digital equivalent gives data scientists and other IT professionals the ability to optimize deployments for peak efficiency and create other what-if scenarios.

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What does Industry 4.0 mean ?

The reason for the term Industry 4.0 is that industries are under constant pressure – to improve product quality, increase failsafe connectivity, boost factory efficiency, stay competitive, enhance safety, security and sustainability, achieve zero carbon footprint and remain profitable.

Adopt a Systems Approach to Machine Design and Survive the Next Industrial Revolution. The world of industrial automation is undergoing a major transformation to the Next Industrial Revolution, or Industry 4.0.

Manufacturers can no longer afford the “build it and tweak it” approach that has long characterized many design projects. Instead, they must take a more systems-design approach by implementing rigorous systems-design processes that accommodate the complexities of developing multi-disciplinary systems.

High-fidelity virtual prototypes, or Digital Twins, are at the core of this development process. There are countless ways a Digital Twin can be used in the world of industrial automation:

  • As a real-time implementation, using FMI, so it can be run in-line with the real machine, enabling rapid virtual task-planning and testing.
  • To allow an operator to train on a virtual machine until they have the skills and confidence needed to operate the real machine.
  • To identify potential issues with a real machine counterpart.
  • To provide the basis for increasing the self-awareness of the machine, allowing it to optimize its own performance for given duty cycles.

The Functional Mockup Interface (FMI) is an initiative aiding cross-discipline interaction by providing, a widely accepted, standard for model exchange and co-simulation. The standard is supported by a number of modelling tools. However, to implement it on an existing platform requires adaptation.

A Digital Twin is a virtual representation of a corresponding physical product, and the perfect companion to lower the risks involved in machine-level system integration. It is also part of the Top-10 technologies for the Industry 4.0 (Ref 1) concept, and for good reason. Digital Twins can help and support us in our efforts within Research and Technological Development (RTD) with a wide variety of engineering tasks.

  • Conceptual Development — Will this product work if I build it?
  • Virtual Commissioning — How can we ensure a fast, successful system integration?
  • Online Diagnostics — Can we detect failures before they become serious?
  • Smarter Designs — Can we predict better maintenance schedules, or replace physical sensors with virtual ones?

The cost of finding design flaws late in our project can be extremely expensive, compared to if we manage to successfully implement the Digital Twins concept.

The estimated cost of identifying flaws at different stages of our project:

  • 1x — at Concept Level
  • 2x — at Pre Production (Ready for Production)
  • 16x — at Detailed (FEA/CFD) design
  • 64x — at Prototyping
  • 240x — at Production design
  • 800x — at Serial Production (Production startup of final baseline)

There are different ways to create a Digital Twin — Data-Driven and/or Model-Driven, where each implementation has strengths and weaknesses, depending on the product or system we want to simulate and analyze.

Data-Driven Implementation

Creating a traditional data-driven Digital Twin is expensive, which can exclude many of the companies best served by them. However, modern design tools can create model-driven Digital Twins to assist in product design, and are essential for virtual commissioning.

Sensors provide large amounts of performance data that are used for predictive models.
1. The Digital Twin is created after the product is operating.
2. Sensor-based data makes it hard for accurate extrapolations outside of common operating conditions.

Model-Driven Implementation

A model-driven Digital Twin can help you realize many of the benefits of a data-driven Digital Twin without having to manage the challenges of expensive sensors, data collection, and black-box behavioral algorithms. Since it doesn’t need test data to predict behavior, a Digital Twin can be used for conceptual design before any physical prototype has been constructed. Once a design has been chosen, a Digital Twin can be connected to your controllers to test integration in a virtual commissioning phase, ironing out the issues you’d otherwise find on the production floor.

System-level models use math and physics-based software to simulate product performance.
1. The Digital Twin is created alongside product development, adding insight early on.
2. A high-fidelity model uses accurate physics to predict a wider range of product performance.

Either type of Digital Twin can be used independently or combined together.

Using model-driven Digital Twins can significantly reduce the risk of developing new, innovative products.

1. They can answer design feasibility questions long before prototyping.
2. They’re essential for “virtual commissioning” – identifying system integration issues before the controllers and hardware are ever connected.
3. Investing 5-10% more budget into early design work can reduce overall project cost overruns by 50-100% (Ref 2).

References:
1. http://www.gartner.com/smarterwithgartner/gartners-top-10-technology-trends-2017/
2. Adapted from: Forsberg, Kevin, Hal Mooz, and Howard Cotterman. Visualizing Project Management. John Wiley & Sons. Hoboken, NJ. 2005.

The world of industrial automation is undergoing a major transformation. Advanced computation and communications technologies have reached such a level of maturity that machine manufacturers are making dramatic changes in the way they design their products. A major shift from dedicated mechanisms to mechatronic, or cyber-physical, systems means that manufacturers and their customers are no longer constrained by the mechanical design of a machine. Instead, machines in which the mechanism’s motions are defined by servo actuators and control software provide significant opportunities for flexible manufacturing, adaptive throughput, energy management and machine lifetime value. The resulting cost savings and competitive advantages are essential in industry today, as more and more manufacturers adopt these technologies into their next-generation products. Indeed, the evolution and convergence of many new technologies – mechatronic systems, controllers, on-board computation, Big Data, machine learning and the Industrial Internet of Things (IIoT) – are driving thought-leaders to talk about The Next Industrial Revolution, or Industry 4.0.

Manufacturers are being forced to challenge their own assumptions when it comes to their traditional design processes and practices. They can no longer afford the “build it and tweak it” approach that has characterized many design projects, and instead, must take a more systems-design approach that has proven to be an essential part of the design process within the aerospace and automotive industries for many years. Through formal requirements management, and the development of high-fidelity dynamic models used in simulations of the system, manufacturers can validate the design against the requirements in the early stages of the process. The resulting high-fidelity model from this process is typically referred to as the Digital Twin.

The Digital Twin is a concept borrowed from space programs. In this industry, often any changes to any of the systems on a vehicle, probe or rover during a mission, are tested on a simulation of the system to ensure any change produces the desired effect. This gives engineers the opportunity to address any undesired effects before applying the changes to the system in operation. Not long ago, the Digital Twin would have been developed from the ground up, based on the final specifications of the real system. However, with the advent of powerful easy-to-use mathematical systems-modeling tools, like MapleSim from Maplesoft, and rigorous systems-design processes, the Digital Twin often comes as a natural consequence of using simulation tools for functional verification throughout the design process.

Most industrial automation platforms support the Functional Mock-up Interface (FMI) as a way of integrating a real-time implementation of the Digital Twin so it can be run in-line with the real machine. This allows for rapid task-planning and testing in the virtual world before any system changes are made to the real machine.

The cost to create dynamic models of multi-disciplinary systems has declined considerably over the past few years and is well within the budget of most manufacturing-machine design projects. It has been proven over many projects that identifying and addressing design issues early in the design process saves huge costs and associated disruption to the project schedule in late-stage design requests, particularly during prototyping or beyond. Therefore, the return on the up-front costs for tools and expertise to implement this process is very quickly realized.

Illustration by Gunnar Snellman, Bring2Mind Consulting AB

Figure 1: The system design process is often represented as a V diagram to indicate the importance of verifying the design against its requirements throughout every stage of the process.

The world of industrial automation is undergoing a major transformation to the Next Industrial Revolution, or Industry 4.0. Manufacturers can no longer afford the “build it and tweak it” approach that has long characterized many design projects. Instead, they must take a more systems-design approach by implementing rigorous systems-design processes that accommodate the complexities of developing multi-disciplinary systems.

High-fidelity virtual prototypes, or Digital Twins, are at the core of this development process. There are countless ways a Digital Twin can be used in the world of industrial automation:

1. As a real-time implementation, using FMI, so it can be run in-line with the real machine, enabling rapid virtual task-planning and testing
2. To allow an operator to train on a virtual machine until they have the skills and confidence needed to operate the real machine
3. To identify potential issues with a real machine counterpart
4. To provide the basis for increasing the self-awareness of the machine, allowing it to optimize its own performance for given duty cycles

In industry, the Digital Twin offers unlimited possibilities beyond the design process. For example, an in-line Digital Twin allows an operator to train on a virtual machine until they have the skills and confidence needed to operate the real machine, without the expense of a dedicated training simulator. Using an in-line Digital Twin accelerates the learning process and minimizes the risk of damage to the machine.

A Digital Twin can also be used to identify potential issues with its real machine counterpart. Imagine a scenario in which a high-fidelity physics model is running in parallel with the real machine and immediately identifies a malfunction (or potential malfunction) in the real machine. Any excessive wear in a component would be indicated by a drift between the machine’s performance and the behavior of the model, which can be readily flagged. The model, that has exactly the same physical structure as the machine, could identify the source of variance within the model and provide indicators to the operator where the fault may lie, saving on machine life and diagnostic costs. Taking this a step further, if this same fault is not catastrophic, it would be possible to use the model to provide a strategy for compensating for a decrease in performance without slowing or stopping production. The emergence of optimal control and model-predictive control techniques, combined with advanced machine-learning capabilities, makes this scenario possible.

With the ability of systems to communicate remotely with the operator through IIoT technologies, it won’t be long before we see increasing autonomy being implemented in the machines, much like we see in the automotive industry. The machines are not only communicating with the operator but also with each other or even with themselves! An embedded Digital Twin would provide the basis for increasing the self-awareness of the machine, allowing it to optimize its own performance for given duty cycles, diagnose and compensate for non-catastrophic faults, and coordinate operation with other machines with minimal input from the operator.

Illustration by Gunnar Snellman, Bring2Mind Consulting AB

Figure 2: The Digital Twin is a natural result of adopting a system-design approach to product development and can be readily integrated into the final product for training, in-line diagnostics, performance optimization and beyond.

Industry corporations in factory and automation software and systems, are investigating use of software automation platforms allowing machine designers to create virtual prototypes of machine design, directly from the CAD representation, and integrate it as a Digital Twin on real-time platforms as Functional Mockup Units (FMU). In this way, virtual machines can be configured and tested in parallel with the real machine to accelerate the commissioning process, reduce risks and decrease costs. This will also revolutionize the process of configuration management for technologically advanced and complex systems. Another level of configuration control at a fraction of the cost we are used to see in this part of the systems LifeCycle.

Whether or not you call it Industry 4.0, there can be no doubt that a major change in the way manufacturing systems are designed is unfolding. The convergence of mechatronic, or cyber-physical, technologies with advances in data management, machine-learning and communications is already challenging traditional industrial machine design processes.

Manufacturers must begin to implement rigorous systems-design processes that accommodate the complexities of developing multi-disciplinary systems, with high-fidelity virtual prototypes, or Digital Twins, at the core of the development process. If they don’t, these manufacturers will soon find themselves running behind the herd.

The Industry 4.0 revolution is now. Early adopters are already benefitting from the power of the Digital Twin as part of their Industry 4.0 strategy. Through the acquisition and use of Maplesoft technologies that support this process, companies can easily implement Industry 4.0, realize its advantages and get ahead of their competition.

Forsberg, Kevin, Hal Mooz, and Howard Cotterman. Visualizing Project Management. 2nd ed. N.p.: John Wiley & Sons, 2000. Print.

Warwick, Graham. “USAF Selects Lead Programs For ‘Digital Twin’ Initiative.” aviationweek.com. Aviation Week & Space Technology, 26 Jan. 2015. Web. 19 Dec. 2016.

Cotteleer, Mark J., et al. “3D opportunity and the digital thread.” dspace.mit.edu. Deloitte University Press, n.d. Web. 19 Dec. 2016.

Chan, Kelvin. “Robot Revolution Sweeps China’s Factory Floors.” ecnmag.com. ECN Magazine, 24 Sep. 2015. Web. 19 Dec. 2016.

MA Staff. “Factory of the future will reduce conversion costs by up to 40%: BCG.” automationmag.com. Manufacturing Automation, 13 Dec. 2016. Web. 19 Dec. 2016.

Küpper, Daniel, et al. “The Factory of the Future.” bcgperspectives.com. Boston Consulting Group, 6 Dec. 2016. Web. 19 Dec. 2016.

Grant, Tavia. “Rise of the machines: Robots poised to transform global manufacturing.” theglobeandmail.com. The Globe and Mail, 10 Feb. 2015. Web. 19 Dec. 2016.

Bagheri, Behrad, and Jay Lee. “Big future for cyber-physical manufacturing systems.” designworldonline.com. Design World, 23 Sep. 2015. Web. 19 Dec. 2016.

“Virtual testing for greater simulated and actual success.” boschrexroth.com. Rexroth Bosch Group, n.d. Online video clip. 19 Dec. 2016.

Monostori, László. “Cyber-physical production systems: Roots, expectations and R&D challenges.” Science Direct Procedia CIRP 17 (2014): 9 – 13. Science Direct Online. Web. 19 Dec. 2016.

“Packaging Machinery Designers Face Five Big Challenges, says DS SolidWorks.” businesswire.com. Business Wire, 18 May 2009. Web. 19 Dec. 2016.

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What is The Digital Twin ?

The Digital Twin concept refers to a digital replica of potential and actual physical assets (physical twin), processes, people, places, systems and devices that can be used for various purposes.

We developed our first Digital Twin architecture in 1981, represented by an advanced software formula evaluator, simulating the behaviour of the steel compound production process in a plasma generator. A digital twin is a digital replica of a living or non-living physical entity.
Find Out More

The term Digital Twin has previously been used to describe digital 3D representations of large complex machinery such as wind turbines and aircraft engines. The Digital Twin concept has been used to monitor the status of the machinery for diagnostic – and prognostic purposes, as it receives real time data about the actual machine’s status.

A digital twin is a digital representation of a physical object or system. The technology has allowed digital representations of just about anything you can think of and can even include larger things such as buildings and cities; conceptually even people could have digital twins.

This technology can be applied and used in a huge number of different sectors and for different purposes – construction, transportation and manufacturing to name a few. Challenging objects, being manufactured, could easily be designed and then tested using a digital twin before being produced.

The role of an architect when creating digital twins will be an important one. Digital twins require a huge amount of data to work well. Alongside being able to work with this data, an architect could require expertise in a number of different skill sets such as A.I, data science and machine learning. Architects will therefore need to be able to consider integration, security and cost when creating digital twins to ensure that it would be a viable and sensible investment for a business.

A Digital Twin of an Organization is a corresponding digital representation of the organization and its parts and it can even include digital representations of your organization’s assets.

Gartner has proclaimed that a Digital Twin of an Organization is the future of performance optimization and what will bring “ContinousNext” to life (Huntley, 2018). It is also included in their top ten strategic technology trends for 2018.

A Digital Twin of the Organization must consist of at least:

  • The organization’s operating model,
  • One-to-one alignment between the Digital Twin and the organization and
  • The ability to monitor the organization’s relevant constituents.

(Kerremans, 2017)

Organizations will become more and more dependent on continuous intelligence in order to stay viable. The use of a Digital Twin for diagnostic – and prognostic purposes can be of great benefit to an organization, just as it has been for complex machinery, when navigating complex and uncertain business environments.

According to Gartner, a Digital Twin of your organization will bring:

  • A new level of insight
  • A new level of understanding
  • An awareness that will enable you to make better business decisions

The Digital Twin loops from the physical to the virtual and back again, enabling a new way to create and implement strategic initiatives. It can help you discover customer behavior patterns you can act upon, model organizational responses to privacy breaches and develop various future state scenarios.

(Huntley, 2018)

Having a Digital Twin is relevant, and will become a key strategic tool, for any organization that is affected by change. The Digital Twin will help an organization to monitor, adapt and improve the way services and value are delivered continuously.

But how mature do you need to be in order to create and utilize a Digital Twin? You need to have documented your organization’s operating model. You need to have data about the components that make up your organization, and you need to be able to monitor these (Kerremans, 2017).

That’s it. The bare minimum for creating a Digital Twin and reaping the benefits.

You shouldn’t expect to be able to implement a comprehensive Digital Twin within months. It is advised that you start small and work incrementally (Huntley, 2018). This will enable you to integrate the Digital Twin, and the use of it into your organization’s way of operating.

According to Gartner, the most complete technology you can use to implement a Digital Twin of your Organization is a Business Operating System (Kerremans, 2017). With the right Business Operating System, you have a single system for handling your entire business operating model, a one-to-one documentation of the components that make up your organization and collecting measurements of these components. With a Business Operating System, you will be able to model, act upon your new data and implement the decided changes.

Gartner has created a market guide of technologies that support a digital twin of the organization, where you can read about the different vendors of Digital Twin Business Operating System frameworks, that can support you in your digital endeavors.

Huntley, H. (2018, October 15). Gartner Opening Keynote: From Digital Transformation to ContinousNext. Gartner Symposium/ITxpo. Orlando.

Kerremans, M. (2017, October 25). 12 Powerful use Cases for Creating a Digital Twin of Your Organization. Gartner(G00341407).

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What is a Digital Ghost ?

The Digital Ghost is a new paradigm for securing industrial and military assets and critical infrastructure from both malicious cyber-attacks and naturally occurring faults. It provides a new line of defence at the physical domain layer in addition to current IT/OT layer solutions.

In earlier times, outages on the power grid were the result of downed tree limbs. Trees and branches are still an issue, but power companies increasingly are worried about hackers and computer viruses. To wit, the ominously named malware Black Energy took out a grid in Ukraine in 2015 and caused 800,000 people to lose power. The threat is only increasing — year over year, cyberattacks on industrial control systems have increased by 55 percent.

Most computers have some kind of antivirus software today, but protecting society asset control systems from hackers requires a completely different approach, that’s why a lot of effort is invested in developing the “Digital Ghost”, an “invisible” software guarding and protecting assets.

The software is the industrial version of an immune system — an invisible presence in computers, networks and other IoT capable machines that keeps watch 24/7. It uses sensors and controls to detect, locate and neutralize threats much like the body responds to viruses.

Designing it, applying the old adage that the best defense is offense. In cybersecurity, finding new ways to protect critical industrial assets from cyber threats is a never-ending job. With Digital Ghosts, a new brand with layer of defense and offense that will protect the brains of these cyberphysical systems and even neutralize threats.

There will be some 50 billion things connected to the internet by 2020-2025, according to Cisco. As physical assets become more digitally driven, the need for technologies like Digital Ghost will only increase, according to principal engineers leading the Digital Ghost development in the ICT Industry. The integration of digital technologies into the industrial world are transforming it and opening up an abundance of new growth opportunities for companies and dramatic improvements in the overall quality of life people can live, but in parallel, we must remain vigilant in developing new and better ways to protect and sustain the operation of these assets from being compromised, as is the case in the human body.

The Information- and Communications Technology Industry is giving their Digital Ghost applications an extra layer, capable of learning about intruders much like the immune system’s killer T-cells. When it detects a threat, it will pounce. In the world of cybersecurity, there are no such things as guarantees. But adding new layers of protection such as for a Digital Ghost, will ensure we are putting our strongest effort forward.

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What does Digitalization mean ?

Digitalization is the use of digital technologies to change a business model and provide new revenue and value-producing opportunities; it is the process of moving to a digital business.

Digital means different things for different industries. In the banking industry, it could be about the transformation of retail experience and making it frictionless without a need for any physical interaction. In the Oil and Gas industry, it could be about creating a digital twin of the offshore rig and maintaining it without having to travel to the rig.

In this section we will publish News and Insights about Digitalization.

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What is Software Development ?

Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, networks, architectures, frameworks, or any other software component.

Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components. Software development is a process of writing and maintaining the source code, but in a broader sense, it includes all that is involved between the conception of the desired software through to the final manifestation of the software, sometimes in a planned and structured process. Therefore, software development may include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities that result in software products.

Software can be developed for a variety of purposes, the three most common being to meet specific needs of a specific client/business (the case with custom software), to meet a perceived need of some set of potential users (the case with commercial and open source software), or for personal use (e.g. a scientist may write software to automate a mundane task). Embedded software development, that is, the development of embedded software, such as used for controlling consumer products, requires the development process to be integrated with the development of the controlled physical product. System software underlies applications and the programming process itself, and is often developed separately.

The need for better quality control of the software development process has given rise to the discipline of software engineering, which aims to apply the systematic approach exemplified in the engineering paradigm to the process of software development.

There are many approaches to software project management, known as software development life cycle models, methodologies, processes, or models. The waterfall model is a traditional version, contrasted with the more recent innovation of agile software development.

In this section we will publish News and Insights about Software Development for distributed applications (IoT, Digital Twins and website technology.

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What is Systems LifeCycle Management (SLCM) ?

Systems lifecycle management (SLCM) is the process of managing the entire lifecycle of a system from inception, through engineering design and manufacture, to service and environmental friendly disposal of manufactured interrelating products. SLCM integrates people, data, processes and business systems and provides a systems information backbone.

In any type of industry, Systems LifeCycle Management (SLCM) is the process of managing the entire LifeCycle of a system from inception, through engineering design and manufacture, implementation to service and environmental friendly decommissioning and disposal of manufactured interrelating products. SLCM integrates people, data, processes and business systems and provides a systems information backbone.

Within the Aerospace-, Defence- and Security Industry, we have been providing Systems LifeCycle Management (SLCM) Services since 2003 within procurement, development and testing over production to final delivery, in-service support, maintenance and environmental friendly decommissioning of technically advanced and complex systems.

With almost four decades of national and international operational management working experience in the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry, nationally and internationally, Bring2Mind Consulting AB is providing qualified Systems LifeCycle Management (SLCM) Services in management-, commercial- and operational- as well as technical- and administrative- disciplines, required to help clients safely managing technically advanced and complex systems.

Guidance for our work is always Our Foundation, built upon Swedish Law, rules and regulations, well known engineering-, industry- and de-facto standards, i.e. quality (ISO-9001 or parts thereof), environmental protection (ISO-14001 or parts thereof) and product- and systems LifeCycle management (IEC/ISO-15288 or parts thereof).

The Systems LifeCycle Management (SLCM) standard

ISO/IEC-15288; The activities, methods and techniques required to satisfy NATO SLCM policy are detailed in Allied Administrative Publication (AAP) 48 which is the implementation guidance for the NATO Policy for Systems LifeCycle Management (SLCM), whereas AAP-48 translates the principles of NATO policy on SLCM into a common framework based on the civil standard ISO/IEC 15288 (Systems Engineering – System LifeCycle Processes) describing a working methodology and an integrated approach to LifeCycle management for defence related capabilities in the NATO context..

Our Generic System LifeCycle Management (SLCM) Services, serve as a SLCM services development platform, which is not linked to any individual product or material system within a specific industry, but can advantageously be applied in most procurement and production assignments for any type of industry.

In this section we will publish News and Insights about Systems LifeCycle Management (SLCM) Services Development for procurement, development and testing over production to final delivery, in-service support, maintenance and environmental friendly decommissioning of technically advanced and complex systems.

Bring2Mind Consulting AB

We work within the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry, where our personnel since 1985, have been supporting the public administration sector (Government Authorities) and the private business sector, delivering Systems LifeCycle Management (SLCM) Services, primarily around and within defence system procurement projects, providing services during procurement and provisioning of technically advanced and complex systems and solutions to the Swedish Defence Material Administration (FMV) and the Swedish Armed Forces (FM).

Within the Information- and Communications Technology Industry, we are in the startup phase of delivering secure, immediate and effective interaction between organizations, companies and their customers, partners and employees. The CMS & publishing tools we apply, is by far the most popular software with over 60% worldwide market share. This means the software is used by almost 35% of all the public websites online, the rest is used for intranet solutions not publicly available. The system is also used by many popular global brands across the world.

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We Serve All

Our total offering fits any Industry, not only within the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry, where we do most of our work today.

We support the private business sector and the public administration sector (Government Authorities) by providing qualified consulting primarily around, and within, Systems LifeCycle Management (SLCM) Services. We cover common commercial-, legal- and operational- as well as technical- and administrative- disciplines, within programme-, project-, quality- and configuration management including production of digital and hardcopy material, which entails our customers and end-users to safely manage their technically advanced and complex systems.

Bring2Mind Consulting AB

We work with People and Digital Technologies for a Safer World and a Smarter Society

As our agency face a relentless pace of change and unprecedented level of competitiveness, agility is key to survival. Organizations are looking to Lean portfolio management to align the digital product investment portfolio to business strategy, and to quickly adapt the portfolio when strategy changes. To be successful, we provide transparency, analytics and feedback to various stakeholders at different levels of our processing workflow for optimal decision making. We also have a clear line-of-sight from strategic direction, through investment decision, to the choice of epics and services to be implemented, including the resulting impact on our clients’ business. We drive the continuous improvement process by looking at how our Systems LifeCycle Management (SLCM) services portfolio management enable Lean portfolio management for enterprise agility.

Bring2Mind Consulting AB, is an entrepreneur driven, supplier independent Knowledge & Consultancy Agency, supporting the private business sector and the public administration sector (Government Authorities) by providing knowledge consulting, management and advisory services, primarily within and around Systems LifeCycle Management (SLCM) Services, including supporting services, i.e. programme management, project management, risk assessment, management and control, quality assessment, management and control, configuration management and control, to the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry.

With a positive track record within the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry in providing Systems LifeCycle Management (SLCM) Services and seamless integration of products and systems against predefined requirements, Bring2Mind Consulting AB is unique in its understanding of technically advanced and complex systems, and how to apply innovative solutions in a pragmatic and cost effective fashion. Our services are developed and provisioned under the highest quality requirements based upon military standards, targeting the private business sector and the public administration sector (Government Authorities).

We ensure that our clients within the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry have the right equipment and functioning systems and services, at the right time to the right cost, to be able to carry out their mission. This is our contribution to the Swedish Defence Material Administration (FMV) and the Swedish Armed Forces (FM) — And we are proud of what we do!

Bring2Mind Consulting AB apply a classic business model, in a direct “One-to-One” relation to its clients and partners. This is where you will find us in the services supply chain. Sometimes we need to sign up specialist agencies for certain projects, to enable us to fulfil client requirements. But most important of all, we always apply our business model, whereas, if required by our clients, we can provide a larger network of system- and business partners.

It is important for Bring2Mind Consulting AB to conduct business in a responsible manner with long-term sustainability. We apply customer-oriented management systems for quality assurance and gather all our deliveries under qualified project management, quality management and configuration management. We provide Systems LifeCycle Management (SLCM) Services to the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry, as well as digital communication systems with high ICT content for close real-time communication between customers, partners and employees. In addition to statutory requirements and standards in relevant areas, we define our responsibility in relation to our key stakeholders. In order to ensure long-term value creation, we safeguard, among other things, good working relationships, high confidence from our customers, and responsibility for our environmental impact.

The staff within our Knowledge & Consultancy Agency have since 1985 operational working experience in the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry, at senior and middle management levels, nationally and internationally, within the whole supply chain of products, systems and services.

Almost twenty (20) years of experience within the Aerospace-, Defence- and Security Industry, working with some of Swedens largest, most technically advanced and complex defence system procurement projects for the Swedish Defence Material Administration (FMV) and the Swedish Armed Forces (FM), delivering Systems LifeCycle Management (SLCM) Services, has been extremely productive ans successful. We have supported these procurement projects by providing services over a very long time, and we are pleased to present to you, on our new website, some of our renowned and successful projects within the Aerospace-, Defence- and Security Industry.

We are multifaceted engineers, project managers, system analysts, consultants, advisors, architects, modelling and simulation specialists, and many more – and sometimes just catalysts for the successful achievement of your goals!

All this knowledge and working experience, built up almost during a lifetime, has made us capable to contribute to the development of Swedens total defence, by providing Systems LifeCycle Management (SLCM) Services, in a total offering from Bring2Mind Consulting AB.

With almost four decades (40 years) of operational working experience in the Aerospace-, Defence- and Security Industry and the Information- and Communications Technology Industry, at senior and middle management levels, nationally and internationally, within the whole supply chain of products, systems and services, Bring2Mind Consulting AB is well prepared to play the role as systems- and business- partner, capable of providing qualified and innovative Systems LifeCycle Management (SLCM) Services, supported by common commercial- and operational- as well as technical- and administrative- disciplines, within programme-, project-, quality- and configuration management, required to help our clients managing technically advanced and complex systems.

We cover all aspects of Systems LifeCycle Management (SLCM) Services, during all stages within products-, systems- and solutions provisioning; from initial studies, the needs/requirements assessment work, in the procurement phase, design and development, integration, over production, testing, verification & validation to final implementation, training, delivery and handover to the end-user and finally, the environmentally friendly decommissioning of products-, systems- and solutions for needs-oriented and situation-adapted solutions, with the right quality at the right cost. Our total offering is fully supported by qualified programme management, project management, quality assurance and configuration management.

As a Knowledge & Consultancy Agency, our business is all about thorough understanding and knowledge of your industry, resulting in a comprehensive Systems LifeCycle Management (SLCM) Services offering, that is unique for our clients. We can help you create value in a number of different ways. To guide you through our broad range of services to the portfolio that’s right for, and aligned to your project, we may suggest multiple value creation pathways, to mention a few;

1. Competitive Services,
2. Programme- and Project Management Support,
3. Procurement Management Support,
4. Contract Management- and Administration Support,
5. In-Service Support,
6. Business Development for sustainable Growth,
7. Secure and Safe Society.

This concludes our business aims; to increase our clients’ ability and profitability in managing technically advanced products and complex systems in a safe manner.

For Bring2Mind Consulting AB, business oriented competence and knowledge provisioning is always about ensuring new and existing clients’ needs for the right skills today and in the future.