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Further, cloud infrastructure providers such as AWS and Azure have incorporated very strong security protocols within their services to ensure maximum IP protection. Cloud-delivered solutions address these issues by providing the ability to scale globally, on demand while maintaining high availability and being delivered on multiple types of user devices, e.g., smart phone, tablet, laptop, desktop. It should have the ability to be delivered on multiple IT infrastructures from on-premises to the cloud so that companies can implement and scale (in capability, locations, and user count) as demand dictates. Implementing this type of environment exposes data in context making the configuration of personalized applications easier and more sustainable.Īs previously stated, today’s PLM solutions must be built on a flexible, adaptable, scalable architecture designed to evolve and grow as a company’s needs change. Modern architectures enable an enterprise to more easily adapt their technology, information, and supporting applications and environment to meet changing business needs.
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To address the challenges described above, companies need to implement a modern platform-based PLM environment and establish a full lifecycle digital thread. Characteristics Needed in a Modern PLM Solution This requires a modern, platform-based PLM data and process management backbone. To effectively support today’s complex, heterogeneous, extended enterprise value chains, PLM solutions must support multi-domain people, process, and technology requirements, across extended, heterogeneous value chains, and easily adapt and grow as the enterprise evolves over time. In a CIMdata position paper “PLM is Hard, ” key issues with some PLM solutions include: (1) they weren’t architected and implemented for the enterprise (2) the solutions were designed by engineers for engineers and (3) the implementations did not take full advantage of the chosen PLM solution’s capabilities, architecture, and/or technologies. This is partly due to technical limitations but also due to the lack of process reengineering and a myriad of organizational issues. In reality, most PLM environments reviewed by CIMdata have rarely been used effectively across the extended enterprise as originally envisioned. However, to address today’s business challenges, PLM environments must enable rapid evolution in all areas of the business-market requirements, product complexity and mix, distributed production and service, regulatory compliance, etc. Executives are recognizing the positive impact PLM can have in helping their companies meet its business potential. This evolution is enabling enterprise-level digital transformation and driving enterprise level product and process innovation. PLM enabling technologies and solutions have evolved significantly over the past few decades, bringing new digital capabilities such as driving a virtual model with simulation and/or field data to predict product behavior and provide performance insights directly to the development process and across the product’s lifecycle. Manufacturers are also recognizing the value of the digital thread and comprehensive digital twins as concepts that can be used to enable true end-to-end lifecycle innovation and optimization. As global competition continues to increase and digitalization technologies rapidly mature, manufacturers have recognized that undergoing digital transformation can deliver quantifiable business benefits in multiple areas. This is driving the need for more intelligent, flexible product development environments, more responsive production and service capabilities, as well as the need to enable and manage extended lifecycle value chains. Manufacturing enterprises across all industries are facing a myriad of challenges that impact most, if not all, facets of their business as products continue to become more personalized, more complex, more capable, more connected, and interconnected.
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