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Focused Consulting Practices

Focused Consulting Practices

CIMdata’s consulting practices add knowledge, practical experience, roadmaps, best practices, and focused research about available solutions and their providers to CIMdata's established consulting services.

Additive Manufacturing

Leveraging AM into the Engineering Production Lifecycle

Additive Manufacturing (AM) is concerned with applying additive (not subtractive) manufacturing technologies and methods to manufacturing processes. As with traditional manufacturing, AM parts have a lifecycle commencing with ideation, followed by design, optimization, simulation, validation, quality control, physical manufacturing, maintenance, and obsolescence. Processes, governance, policies, standards, and tools that support corporate Master Data Management (MDM), don’t accommodate AM produced parts very well, since they were designed for traditional subtractive manufacturing. Ultimately, product data management processes, engineering and manufacturing BOMs, as well as PLM and MDM records, must accommodate both traditional and AM part information since in most cases the whole final product will comprise both traditionally made and AM made part content, i.e., a hybrid BOM.

AM is more than a standalone alternative to traditional subtractive manufacturing, i.e., AM isn’t a new way to make the same part, rather it is a disruptive new engineering and manufacturing method that impacts many parts of an industrial client’s business processes—from ideation through service.

Over decades, AM has been primarily used to produce models, prototypes, and one-off parts made of non-production ready materials, and without governance of enterprise solutions such as PLM, because it wasn’t deemed necessary. Now, with recent advances in material science, new high performance AM machines, improved CAD and simulation tools, together with commercial pressures to make things faster, lighter, stronger, and cheaper, and to have parts available when and where needed, an exciting new mainstream era for AM is emerging. To fully adopt AM, however, it needs to be assimilated into mainstream organizational processes and business solutions such as PDM, CAD, and ERP.

CIMdata’s AM consulting practice adds knowledge, know-how, roadmaps, best practices, and knowledge about available solutions and their providers to CIMdata’s well-established PLM-focused consulting services. AM is a critical new technology, but it requires different design and lifecycle considerations to maximize its value.

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AEC & Manufacturing Convergence

Adding Lifecycle Value for Facilities & Infrastructure Projects and Companies

Strategies and business processes among organizations in the Architecture, Engineering, and Construction (AEC) and Engineering, Procurement, and Construction (EPC) fields are increasingly leveraging methods previously adopted in the manufacturing industry. Prefabrication, lean practices, and other techniques are being adopted to improve productivity and deliver greater value throughout the lifecycle of facilities and infrastructure (i.e., from concept or proposal through decommissioning). At the same time, manufacturing companies have an opportunity to better serve their AEC and EPC customers and gain competitive advantage, starting from initial bidding and continuing into aftersales service.

Product Lifecycle Management (PLM) enabling solutions have been widely adopted in manufacturing as a strategic business approach that puts products and services, and the processes by which they are defined, at the heart of the company. PLM is directly linked to business strategy and empowers the business, enables product and process innovation, and enhances both top- and bottom-line business benefits. In its early days, PLM created competitive advantages for manufacturers. In today’s global economy, PLM is a competitive necessity.

AEC and EPC companies are collectively faced with a number of challenges. Construction productivity has been stagnant despite the adoption of Building Information Modeling (BIM) processes and supporting technologies. Owners/operators are adding new contractual terms that dramatically increase the quantity and quality of information deliverables. The trend toward smart buildings and connected infrastructure is further driving the need for a better approach, and standards are emerging to support the need for persistent, structured information models.

CIMdata’s AEC & Manufacturing (AEC&M) Convergence Consulting Practice adds knowledge, practical experience, roadmaps, best practices, and focused research about available solutions and their providers to CIMdata’s established consulting services. The practice focuses on extending and connecting PLM processes to encompass and augment BIM for clients throughout the AEC and EPC value chains, including manufacturers, fabricators, architectural and engineering firms, construction firms, contractors, and owner/operators.

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Aerospace & Defense Industry

Accelerating PLM’s Value Curve

Product Lifecycle Management (PLM) is the strategic business approach that puts your products and services, and the processes by which they are defined at the heart of your company—directly linked to your business strategy. PLM empowers the business, enables product and process innovation, and enhances both top- and bottom-line business benefits. In its early days, PLM created competitive advantages. In today’s global economy, PLM is a competitive necessity.

Most companies would acknowledge that despite hard-won gains in the past 20 years there is still room to improve product innovation, engineering and manufacturing productivity, and customer service. Internal and external organizations and networks, e.g., partners, suppliers, and customers comprise the enterprise’s Collective Mind. Companies can gain further improvements by leveraging the collective’s creativity and knowledge, and by making better decisions through more meaningful collaboration.

CIMdata’s Aerospace & Defense Industry Consulting Practice adds knowledge, know-how, roadmaps, best practices, focused research, and knowledge about available solutions and their providers to CIMdata’s well-established consulting services. The practice focuses on the strategic expansion of PLM within aerospace and defense (A&D) companies, as well as its extension across their external value chains and across the complete product lifecycle.

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Collaborative Innovation & Social Product Development

Better, Faster, and Efficient Innovation Leveraging the “Collective Mind”

Most companies would acknowledge that despite hard-won gains in the past twenty years there is still room to improve product innovation, engineering productivity, and organizational agility. Internal and external organizations and networks, e.g., partners, suppliers, and customers comprise the enterprise’s Collective Mind. Further improvements can be gained by leveraging the collective’s creativity and knowledge, and by making decisions more robust through better and meaningful collaboration.

CIMdata’s Collaborative Innovation and Social Product Development consulting practice adds knowledge, know-how, roadmaps, best practices, and knowledge about available solutions and their providers to CIMdata’s well-established consulting services. The addition of these capabilities is a recognition that the ways in which businesses and people work are changing based on “open innovation” models and strategies, and social networking technologies and techniques.

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High Tech Electronics

Contact CIMdata for more information.

Manufacturing Systems Engineering

Developing Strategies to Support Manufacturing Systems Development

Manufacturing systems engineering embodies the processes and tools used to plan, simulate, and execute product production processes. The manufacturing systems engineering approach seeks to integrate all the disciplines and specialty groups involved in a system’s design into a team effort forming a structured production process. Manufacturing systems engineering considers both the business and the technical needs of manufacturing, with the goal of providing a high quality product that meets the users’ needs, and provides it in an optimal manner that maximizes an organization’s return on investment.

CIMdata's Manufacturing Systems Engineering practice focuses on bridging the flow of data and integrating processes between manufacturing and the design, fabrication, and operation of facilities and infrastructure to improve processes and products through the product lifecycle.

The practice covers CAM, digital manufacturing, manufacturing operations management (MOM), manufacturing execution systems, quality execution, manufacturing intelligence strategies and solutions, as well as R&D management for process industries.

Quality and Reliability Engineering

Designing for Reliability through Capture & Reuse of Failure Knowledge

Increasing connectivity and artificial intelligence in products and product-systems will impact both design complexity and software content, which will make it considerably more difficult to ensure product dependability, resulting very likely in more recalls and launch delays than we see today. The lack of understanding about potential failure modes of complex, software-intensive products amongst subject matter experts is creating this dependability challenge. As a result, crucial failure modes of smart, connected products could easily be missed during design, verification, and validation cycles and they could manifest themselves when the products are in the hands of end customers.

Systems engineering has traditionally been applied for realizing highly complex systems and it will continue to be employed for developing smart, connected products. Systems engineering begins with the discovery of the real problems that need to be solved and the identification of highest impact failures that can occur. Then, through an interdisciplinary approach to engineering, it attempts to find solutions to those problems and potential failures. To ensure the dependability of complex systems, an enterprise level integration between the solutions for systems engineering and the solutions for reliability engineering is desirable. In most current industrial applications such an integration is custom built and patchy. Enabling enterprise level design-for-reliability by resolving this disconnect is one of the areas our Quality & Reliability Engineering consulting practice and Knowledge Council addresses effectively.

Dependability issues within complex systems are likely rooted at the intersection of different engineering disciplines and at the interfaces between subsystems, where human engineering intuition tends to be low. Consequently, even if the systems engineering capabilities are seamlessly integrated with the reliability engineering solutions, the lack of engineering intuition of subject matter experts will likely result in dependability issues for smart, connected products.

CIMdata’s Quality & Reliability Engineering (QRE) consulting practice focuses on enabling “learning system based design-for-reliability” in order to deal with the complexity and the speed of evolution of software-intensive products as well as the associated challenge of low insights into potential failure modes. This calls for systems engineering to be seamlessly integrated with reliability engineering and supported by a product failure knowledge capture and reuse system. The QRE consulting practice leverages CIMdata’s established consulting services, insights, practical experience, best practices, focused research, maturity models, and roadmaps to provide guidance on how to develop dependable software-intensive products of the future.

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Simulation-Driven Systems Development

Contact CIMdata for more information.

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