Industrial & High Tech Manufacturers
Industrial Case: Use Smart Connected Operations to Minimize Production Downtime, Maximize Team Performance and Optimize OEE End-to-End
With SCO, companies use interconnected machines and devices, intelligent analytics, and connected workers across product development, manufacturing, operations, supply chain and service to enable smarter, faster business decisions and achieve meaningful results.
Companies have high expectations for SCO, but face significant challenges, including general business awareness, a complex technology ecosystem, lack of people and skills, security concerns, data governance gaps, and change leadership.
One clear way to prove the value of SCO is to enable operational excellence in field operations. When there is large capital equipment in the field, it generates massive amounts of data. Companies are seeing real value through their ability to quickly glean insights from that data, and automate a wide range of processes and tasks.
At LiveWorx 2019, Kalypso brought to life a smart connected, field service operation that digitizes field operations to enhance OEE and reduce non-productive time. Our demonstration used machine learning algorithms to monitor condition health indicators of critical equipment and predict upcoming faults. Prescriptive analytics drive insights into real-time OEE for enhanced decision making. We also showed how insights can be turned into actions for connected workers in the field, with the use of augmented reality (AR) to conduct equipment maintenance.
We used a real oil & gas industry example, but the concept applies to any large capital equipment operating in other industries. Digital technologies like IoT, machine learning and augmented / virtual reality all come together within a connected enterprise to seamlessly offer tangible business value. Viewers learned how to minimize production downtime and optimize preventative maintenance, maximize team performance and empower managers to make informed decisions, and facilitate end-to-end asset optimization through connected production management and integrated operations control.
We presented the following educational sessions for industrial & high tech manufacturers
Digitizing Field Operations in O&G to Enhance Production Throughput and Overall Performance
Digitally Integrated Product Development: IoT-Enabled Generative Design, Automated PLM & Additive Manufacturing
The integration of generative design, advanced simulation, IoT and additive manufacturing offers manufacturers a powerful opportunity to enable an automated, responsive design cycle. With digitally integrated product development, product performance results can automatically enhance and optimize 3D models in real-time, leading to direct additive manufacturing of a re-designed product or component.
In this session, presenters demonstrated this approach through an integrated prototype solution and will demonstrate the automated update and additive manufacturing of a real automotive component.
Request the slides to learn about the transformative opportunity for new product development through generative design techniques.
Managing The Digital Thread for Product and Factory Transformation
The EHT industry has its owns unique set of challenges including new product introduction cycles, shorter product lifecycles and increasing product complexities and regulatory compliances. As a result, achieving the end-goal of reducing costs while increasing efficiencies between OEM/ODM, EMS and downstream suppliers can seem like a monumental task. In this session, we will explore how PLM can be used to manage the EHT Digital Thread across multiple stakeholders to resolve issues related to disconnected processes, product data and resources.
Jabil, the world’s third largest electronic manufacturing services provider, discussed how they leveraged the Digital Factory to expand expertise, ingenuity and supply chain optimization to help their customers innovate and maintain market leadership.
Medical Device Manufacturers
Medical Device Use Case: Improve Business Outcomes and Patient Experiences with IoT and Advanced Analytics
Medical device manufacturers are racing to capitalize on innovative new business models
enabled through outcome-based reimbursement. Meanwhile, increasing regulatory requirements like EU MDR and initiatives like FDA's Case for Quality program put a growing emphasis on product quality and post-market surveillance.
At LiveWorx 2019, Kalypso brought to life a fully integrated smart, connected medical device program to showcase how field service organizations can use IoT to manage complexity and drive new revenue models.
In the booth, Kalypso showcased a Field Service for Medical Device use case to highlight how a leading medical device manufacturer leverages ThingWorx to deploy a global, fully connected field service operation. Leveraging IoT, machine learning and predictive analytics, medical device service operations can increase productivity, decrease equipment down-time, and ultimately improve the provider and patient experience.
We presented the following educational sessions for medical device manufacturers
Stryker’s Transition to a Model-Based Enterprise: Leading Practices for Strategy, Process, Data and People
More and more companies are transforming into model-based enterprises (MBE), using tools and processes of digital product creation (DPC). These transformations are comprehensive, with implications to strategy, business processes, data and people. In this session, Stryker and Kalypso shared technical guidance on leading practices for data creation and management as companies prepare for MBE and DPC, typical barriers and success factors for achieving business benefits, and specific organizational change recommendations.
Digital Product Development Goes Global: The Fresenius Medical Care Story
Fresenius Medical Care is recognized as a global leader in renal care and dialysis systems development with operations in 130 countries. But sometimes, even market leaders need to change. Competitive forces demand that they harmonize global product development business processes and consolidate product development, manufacturing, quality, and regulatory systems into an integrated global system that leverages a common PDM platform. This session showcased how Fresenius leverages industry-leading practices and solutions, along with a cloud-based infrastructure, to overcome obstacles, transform their organization, and drive adoption around the globe.
Accelerating Medtech Innovation with Proactive Regulatory Strategies, RIM, and Closed-Loop Quality
The FDA Case for Quality (CfQ) provides guidance on how to shift from compliance-centric to product-centric outcome based innovation business models. This new strategy relies heavily on digital transformation and harmonization of cross-functional activities that contribute to the safety and efficacy of each device. Once implemented, regulatory imperatives like EU MDR, UDI, and EUDAMED become more easily managed and a competitive differentiator as regulatory information management (RIM), product BOM’s, documents, changes, non-conformances, complaints and CAPA’s are part of one integral system.
During this session, CONMED shared how they are implementing proactive regulatory and quality business strategies within their businesses, milestones to date, and lessons learned along the way. As moderator, Kalypso showcased industry best practices and leading methodologies.
Johnson & Johnson Leverages ThingWorx, Product Lifecycle Intelligence (PLI) and Machine Learning in Support of New Regulations
Johnson & Johnson recently completed several successful ThingWorx and PLI (Product Lifecycle Intelligence) Proof of Value (PoV) projects. They’re now shifting from PoV towards Quality and Compliance in support of the EU MDR and Management Review. Join this session to learn how J&J is planning to use ThingWorx, PLI and Machine Learning to help with Product Submissions, Complaint Handling and other Reporting Needs.
Panel: Preparing for EU MDR - Insights from Medical Device Leaders
The medical device industry is facing a wave of regulatory challenges, including EU MDR, GDPR, and Single Audit Program (MDSAP). The EU MDR 2020 deadline for the first wave of devices is rapidly approaching, and companies are moving from planning to action. Learn how life sciences leaders are rising to the challenge in this panel discussion. Panelists discussed a range of approaches for tackling common compliance challenges and highlight similarities and differences across companies.
Retail & Consumer
Retail & Consumer Use Case: Create, Make & Sell Better Products and Experiences with Digital Platforms
Retail and consumer brand leaders have two important roles as their companies take on digital transformation. First, they need to bring differentiated, innovative and personalized brands, products and experiences to market when, where and how consumers want them. Second, they need to create, sell, and make products better, faster and with more value.
At LiveWorx 2019, Kalypso brought to life a fully integrated digital product creation (DPC) platform to showcase how retail and consumer product companies can leverage digital and foundational technologies to fully transform their business models.
In the booth, Kalypso showcased DPC use cases that leverages PLM, advanced analytics and 3D design tools to enable the customization and personalization of products. With a fully integrated DPC platform, retail and consumer brand leaders can curate consumer information to feed the creative process, create products and virtual samples, use virtual samples to modify and adopt products, and manage the end-to-end development process – digitally.
We presented the following educational sessions for retail and consumer brand leaders
Retail Digital Transformation and Product Creation: State of the Market Research Findings
Executive Consumer Advisory Board
Panel: Unlock the Value of Digital Product Creation with Seamless Integration of 3D Design Tools and PLM
Bring winning products to market faster by learning from a panel of retail technology executives, industry thought-leaders, 3D practitioners and product development experts who will explore the role of 3D design tools in reducing cycle time, and the additional benefits and business value that can be achieved by integrating 3D tools with PLM.
Panel: Using Artificial Intelligence to Transform Product Development from Planning to Commercialization
Artificial intelligence (AI) has become prevalent across customer journeys, supply networks, merchandizing, marketing and commerce. According to IDC, 40% of digital transformation initiatives will be supported by cognitive computing , AI and machine learning capabilities in the next 12 months. During this panel, experts shared how to incorporate AI into your transformation initiatives, and more specifically how these technologies have the potential to transform your design, development and sourcing processes from planning to commercialization.
Panel: Learn How PLM Delivers Value through a Connected, Digital and Sustainable Supply Chain
To meet consumer demand for the latest trends and hottest styles, brands and retailers are challenged to bring products to market at unprecedented speeds – in an era when the supply chain is becoming more global and complex than ever and where transparency is becoming essential. This panel explored the need for supply chain connectivity and will provide real-world practical use cases to demonstrate how brands and retailers can integrate PLM with other leading technologies to digitally ‘join the dots’ in the supply chain to open up new opportunities, unlock additional value, improve sustainability and reduce time to market.
What if you could turn your PLM data into insights that matter?
Your business is sitting on months, even years, of untapped product data. And today’s PLM analytics can only do so much to maximize it.
Product Lifecycle Intelligence (PLI) is an evolution of PLM that applies artificial intelligence and automation to help PLM users extract meaningful insights from product data, formulate predictions, recommend improvements, and automate actions within systems and processes.
Enabled by advanced machine learning techniques, PLI
helps organizations predict the impact of product development decisions on key business performance metrics like demand, cycle time, cost, quality, regulatory compliance, manufacturability and supply chain efficiency.
What is PLI?
Watch this video to learn about structured data, advanced analytics vs. machine learning, and more about how PLI leverages these technologies to maximize the value of PLM data.
Kalypso at LiveWorx 2019
Even if you missed us at LiveWorx 2019, you can request a private use case demo. Please fill out the form below.
