Real-time data visualization and analytics Customizable dashboards for monitoring KPIs Alerting and notification system for proactive decision-making
End-to-end visibility and tracking of materials Prevention of counterfeit or substandard materials Compliance with regulatory requirements and quality control standards Data-driven insights for optimizing material usage and reducing waste
Real-time monitoring and analysis of equipment performance Calculation and visualization of OEE metrics (availability, performance, quality) Identification of bottlenecks and performance optimization opportunitie Predictive maintenance capabilities to minimize downtime and improve productivity
Monitoring and optimization of energy consumption Identification of energy inefficiencies and savings opportunitie Integration with energy monitoring devices and systems Reporting and analysis of energy usage patterns and trends
Remote monitoring and management of industrial assets Condition monitoring and predictive maintenance Asset tracking and inventory management Real-time alerts and notifications for performance deviations
With years of experience, our team possesses deep industry knowledge across various sectors.
Prescient Technologies is at the forefront of technology adoption. We leverage advanced tools such as machine learning and predictive analytics to deliver accurate and actionable insights.
At Prescient Technologies, we believe in building long-term partnerships. Our team of dedicated experts is committed to your success at every step. From the initial consultation to ongoing support,
We recognize that every business is unique. Our solutions are tailored to your specific needs, challenges, and goals.
Our success stories speak for themselves. Through our OEE service, we have helped numerous clients achieve significant improvements in productivity, efficiency, and quality.
In the rapidly evolving manufacturing and engineering environment, executing a proper Teamcenter implementation can mean the difference between fragmented data silos and seamless, collaborative workflows. As product complexity rises, companies must unify CAD, BOM, change management, and systems like ERP. A well-executed Teamcenter implementation becomes the backbone of innovation, enabling higher quality, faster time to market, and better control over the product lifecycle. This guide walks through the practical blueprint from greenfield planning to a stable go-live, with best practices and real-world insight for engineering leads, IT heads, and PLM champions. Setting the Stage: Planning Your Teamcenter Implementation Define Clear Objectives & Use Cases Begin by documenting the business challenges you intend to solve with Teamcenter. Do you want to: Clear objectives enable you to prioritize modules and keep implementation scope manageable. Secure Leadership Sponsorship & Governance Any PLM project risks stalling without visible executive support. Ensure your steering committee includes department heads from engineering, manufacturing, IT, and quality. Establish decision authorities, escalation paths, and success metrics. Conduct Current State Assessment & Gap Analysis Map existing tools, manual processes, spreadsheets, and data models. Capture how file sharing, CAD vaulting, BOM reconciliation, and change approvals currently operate. This “as-is” map allows you to spot gaps and target what to address in your Teamcenter implementation. Define Go-Live Scope (MVP Approach) Resist the temptation to deploy every feature at once. Define your MVP (minimum viable product) — e.g. CAD integration + revision control + change management for one product line. Defer optional modules (supplier portal, advanced analytics) for future releases. Architecture, Environment & Integration Planning Decide whether you will host on-premises, cloud, or hybrid. Plan server sizing, database architecture, network bandwidth, and disaster recovery.Also design integration touchpoints: CAD systems (e.g. NX, Creo, SolidWorks), ERP, MES, and other enterprise systems. Map data flow, API or middleware layers, and designate where transformations or validations occur. Design & Configuration Phase: Building Your Core System Data Model & Naming Conventions Create a robust data model: item, revision, dataset, classification, attributes, and relationships. Define standardized attribute templates and naming rules. This becomes the foundation of consistency across your Teamcenter implementation. Workflow & Process Definition Design your change process: CR (Change Request) → CA (Change Action) → ECO (Engineering Change Order). Include approval loops, notifications, escalation rules, and integration with change history. Before automating, validate process logic with domain experts. Role-Based Access & UI Configuration Configure roles, privileges, and UI views. Each user group (design, manufacturing, QA, procurement) should see a tailored interface. This ensures usability and reduces load on average users. Integration & Customization Develop connectors, web services, or scripts for data exchange with ERP, CAD, or PLM-adjacent tools. Use configuration first; minimize heavy customizations. Too much customization increases maintenance burden and upgrade risk. Expertia+1 Data Migration & Cleansing Legacy data migration is often underestimated. Clean duplicates, correct attribute inconsistencies, remove obsolete records. Transform data to match your new model, then load it in test environments. Validate integrity. cmscomputer.in+1 Prototype & User Validation Run pilot examples or sample projects to validate design choices. Let key users test workflows early, capture feedback, and iterate before finalizing configuration. Security & Performance Checks Set up authentication, role validation, encryption, and audit trails. Conduct load & stress tests to simulate real user usage. If using cloud (e.g. Teamcenter X), leverage built-in security best practices. Siemens Blog Network Testing, Pilots & Training Phase Functional & Integration Testing Validate each module in isolation (change, BOM, document management). Then run full flows involving CAD to BOM to ERP sync. Confirm data consistency and transaction integrity. User Acceptance Testing (UAT) Select superusers or domain leads from each discipline to execute real scenarios. Collect defects, iterate, and revalidate. This gives confidence before full go-live. Pilot Go-Live Deploy to a controlled product line or department. Monitor usage, gather real feedback, and fix issues before scaling. This pilot acts as a final rehearsal for full rollout. Training & Documentation Provide role-based training — classroom, hands-on labs, quick reference guides. Create knowledge bases for users (FAQs, videos, how-to). Change management must be active: communicate benefits, collect feedback, reward adoption. Go-Live, Stabilization & Continuous Improvement Final Cutover & Production Launch Freeze legacy systems, perform delta data migration, and move to production. Ensure that backup and rollback plans are ready. Hypercare & Support Desk Maintain a dedicated support team post go-live. Track bugs, issues, user requests, and system performance. Provide quick resolution to maintain confidence. Performance Tuning & Monitoring Based on real usage, fine-tune caching, queries, indexing, background jobs, and database settings. Use dashboards to monitor system health and bottlenecks. Drive User Adoption & Change Culture Post-go-live, ensure adoption by measuring user logins, completed tasks, feedback surveys, and missed processes. Reward power users, identify champions, keep training active. Roadmap for Next Releases Set vision for upcoming modules: supplier portal, analytics, mobile access, PLM extensions. Prioritize enhancements based on user feedback and ROI. Key Challenges & How to Mitigate Them Why Prescient Technologies Is the Right Partner for Your Teamcenter Implementation Talk to our experts at Prescient Technologies to plan your next Teamcenter implementation with confidence.
Read MoreYou already use a PLM system perhaps Teamcenter but your out-of-box setup feels rigid. Your business processes evolve, and demands for domain-specific logic, custom validation, or tailored user interfaces grow louder. You ask: How do I implement custom behaviors in PLM without breaking upgrades? That’s where PLM customization becomes essential. It helps you adapt your system (e.g. Teamcenter) with new data models, business rules, and UI components without rewriting base code. In this guide, you’ll walk through three core levers of PLM customization: BMIDE, Handlers / Extensions, and UI Extensions, all illustrated via Teamcenter examples. By the end, you’ll understand how to structure safe, upgrade-friendly customizations and choose the right approach per use case. 1. BMIDE (Business Modeler IDE) – The Foundation of Data Model Customization BMIDE is Siemens’ tool for defining or extending the data schema in Teamcenter. You use BMIDE to create new business objects, properties, list-of-values (LOVs), rules, and relationships that map to your organization’s domain. Example: Suppose you need a custom status field in your “Product Revision” object with domain-specific validation. You’d use BMIDE to add the property, attach a rule (e.g. valid transitions), and optionally write a custom handler or rule extension to enforce it. Tips & best practices: 2. Handlers & Extensions – Injecting Custom Logic A powerful dimension of PLM customization is event-driven logic triggering code when certain operations occur (create, revise, delete, check-in, etc.). In Teamcenter, these are often realized via handlers or rule extensions. int L4_register_handlers(METHOD_message_t *msg, va_list args) { EPM_register_rule_handler(“My_RuleHandler”, “MyRule”, (EPM_rule_handler_t)MyRuleHandler); EPM_register_action_handler(“My_ActionHandler”, “MyAction”, (EPM_action_handler_t)MyActionHandler); return 0;} Example: You want a custom check when a “Change Order” is being released. You attach a “Pre-action” extension on the “Release Change Order” operation. Your handler code verifies compliance with special business logic and aborts if not satisfied. UI / RAC Handlers: For client side (Rich Client / RAC) extensions, the “handlers” extension point can be used. You define control commands, then handler classes that execute on user interaction (e.g. menu clicks) in the client UI. Key considerations: 3. UI Extensions – Customizing the User Experience Because end users care about usability, you often need to adapt UI: forms, panels, dashboards, menus, etc. In Teamcenter, UI customization can happen in: Example: Suppose you need a custom tab in the “Item Revision” form that shows supplier metrics (pulled via an external service). In Active Workspace UI extension, you embed a custom widget that fetches supplier data via SOA or REST and displays it inline. Best practices: When you layer PLM customization, follow this structure: This separation helps maintain modularity, eases troubleshooting, and ensures upgrade tolerance. Many teams adopt a feature-based packaging model: each customization (e.g. “SupplierMetrics”) has its BMIDE template, handlers, UI parts, and integration code in a single package. Also, always keep future upgrades in mind. Avoid modifications to OOTB artifacts. Use hooks, extension points, and template layering. You’ve now seen how the three pillars BMIDE, Handlers, and UI Extensions form the foundation of PLM customization. But why trust this approach? At Prescient Technologies, our PLM customization services are built around these principles. We partner with clients to scope, design, implement, and support robust customizations covering BMIDE modeling, handler logic, UI extension, and integration with CAD, ERP, or IoT systems.
Read MoreEngineering Teams Are Drowning in System Silos Have you ever spent hours just finding the right version of a design file? You’re not alone. As products become more complex, engineering teams often juggle disconnected tools like CAD, ERP, MES, and PLM. Managing data across these platforms without a unified flow leads to version control issues, duplicated efforts, and delays. A McKinsey report highlights that engineers spend up to 40% of their time searching for project data instead of solving engineering problems. This is where intelligent PLM implementation connectors come in they don’t just link software. They streamline chaos into clarity. The Real Cost of Disconnected Engineering Systems When systems don’t talk to each other, it creates invisible bottlenecks that hurt your business. Here’s how: According to Lucent Innovation, manufacturing companies can lose 12–15% of productivity annually due to poor data integration across platforms. The frustration? These are smart people working in a broken system. Not because the tools are bad, but because they’re not connected in the right way. What Are PLM Connectors and Why Should You Care? A PLM connector is like a translator between your critical systems CAD, ERP, MES, CRM, and more. It makes sure every piece of product information flows seamlessly and accurately across your organisation. Think of it like this: This isn’t automation for the sake of it. It’s smart data management that reduces engineering errors, accelerates workflows, and keeps teams in sync. How PLM Connectors Simplify Complex Workflows 1. Bridge Between Design and Manufacturing Design changes often don’t reach manufacturing on time. With real-time engineering collaboration using connectors, manufacturing gets automatic updates from PLM systems preventing costly mistakes on the shop floor. 2. Accelerated Product Lifecycle Management Setup PLM connectors enable a faster and more dependable product lifecycle management setup by avoiding manual configurations between tools. This speeds up implementation and keeps product data consistent across departments. 3. Improved Cross-Team Collaboration Sales, service, quality, and engineering all view the same product records. No more emailing spreadsheets or misaligned file versions. Everyone works with the most up-to-date information. 4. Supports Cloud-Based Scalability Many companies are moving toward cloud-based PLM integration. Connectors simplify this shift by ensuring legacy systems and modern cloud tools still communicate effectively. 5. Paves the Way for AI in Engineering AI applications in manufacturing like predictive design and anomaly detection rely on clean, connected data. AI in PLM for manufacturing only works when connectors break the silos and enable smart algorithms to see the full picture. When Should You Use a PLM Connector? You should consider it if: Prescient Technologies recommends PLM connectors during the early stages of implementation. This makes multi-system PLM integration smoother, cheaper, and less prone to rework. Prescient Technologies’ PLM Connectors: What Makes Them Different? Prescient’s connectors are built with over two decades of CAD/PLM software expertise. Unlike generic integration tools, these are: The connectors seamlessly integrate with other Prescient products like factoryCONNECT, machineCONNECT, and powerCONNECT, allowing full digital factory visibility. “Digital engineering needs digital connections. Without them, you’re just automating chaos.” – Engineering Tech Council, 2024 TechNewsWorld Report Key Takeaways Prescient’s custom connectors are built for real-time engineering collaboration and enterprise scalability. Engineering teams waste time navigating disconnected systems. PLM connectors bridge gaps between CAD, ERP, MES, and more. They speed up PLM implementation, improve accuracy, and reduce manual rework. These tools enable cloud-based PLM integration and support future-ready AI use cases.
Read MoreThe Industrial Internet of Things (IIoT) refers to the integration of industrial processes, machinery, and devices with Internet connectivity, allowing for real-time data collection, analysis, and communication. It enables industries to enhance operational efficiency, optimize processes, and make data-driven decisions.
IIoT solutions offer numerous benefits to businesses, including: 1) Improved operational efficiency and productivity 2) Enhanced asset utilization and maintenance 3) Real-time monitoring and analytics for informed decision-making 4) Increased visibility and transparency across the supply chain 5) Energy optimization and cost savings 6) Enhanced quality control and traceability 7) Proactive maintenance and reduced downtime
1) Prescient Technologies offers a comprehensive suite of IIoT solutions, including: 2) Management dashboard for real-time data visualization and analytics 3) Material Traceability for end-to-end visibility and tracking of materials 4) OEE Monitoring for equipment performance optimization 5) Energy management for efficient energy consumption 6) Asset Management for remote monitoring and asset maintenance
Yes, Prescient Technologies understands that businesses have unique requirements. Our IIoT solutions are customizable and scalable to adapt to your specific business needs, ensuring a tailored fit and maximum value.
Prescient Technologies specializes in seamless integration with existing systems and infrastructure. Our expert team will work closely with you to ensure smooth integration, minimal disruption, and maximum compatibility.
Prescient Technologies prioritizes data and system security. Our IIoT solutions implement robust security measures to protect against cyber threats and ensure compliance with industry standards and regulations.
The implementation time for IIoT solutions can vary based on the complexity of your requirements. Prescient Technologies follows a streamlined implementation process and strives to minimize downtime during transition. The timeline will be discussed and planned during the initial consultation.
Yes, Prescient Technologies offers comprehensive training and onboarding to ensure that your team is equipped to utilize the IIoT solutions effectively. For more details contact us.
Absolutely! Prescient Technologies has a track record of successful IIoT implementations across various industries. We have case studies and testimonials from satisfied clients that demonstrate the positive impact our solutions have had on their businesses.
To get started, simply reach out to us through contact@pre-scient.com. We will schedule a consultation to understand your specific requirements and propose the most suitable IIoT solutions for your business. Our team will guide you through the entire process, from solution design to implementation and ongoing support.