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Smart Manufacturing 

Production downtime in manufacturing is costly, and as we transition to Smart Manufacturing, having more robots and machines interconnected, as well as the Internet of Things relying on communication networks for Operations Technology (OT), the likelihood of a network failure or cyber incident to stop temporarily the production is much higher.

 

We've partnered with Innovative Carriers to provide you with a comprehensive suite of insurance products. This includes Cyber insurance, which is crucial in today's digital landscape, as well as a range of commercial such as General Liability, Product Liability, Umbrella, Accident and health, Workers' Compensation, Commercial Auto, and Specialty Insurance like Directors & officers, Cloud Downtime and Product Liability. With this coverage, you can get protected with a comprehensive approach in the face of potential modern risks. 

 

In the same way that supply chain orchestration is crucial to optimizing productivity, Third-party risk management is a pivotal component in mitigating digital risk. Making sure that providers of advanced technology are also covered with Technology Errors and omissions will give you peace of mind when cyber incidents happen due to a vulnerability in embedded systems in your production facility.

 

The rise in the adoption of Artificially Intelligent autonomous systems, such as AGVs (Automated Guided Vehicles), and the digitization of your products, such as connected vehicles, requires a more in-depth risk management approach because not all Cyber and Technology Errors & Omissions are equal, some of them don't cover bodily injury or property damage arising from a cyber incident for example. If you are producing connecting vehicles or part of the supply chain, another emerging field is the cyber security standards for passenger vehicles and compliance with safety practices that move product liability to another discussion level to consider the digital risks embedded in the products.

Manufacturing Insurance 
Beyond Cyber Insurance Protection

  • Cloud downtime protection for operations with monetization and risks to have losses due to cloud provider unavailability 

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  • IP Infringement and Media Liability  

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  • Product Recall insurance 

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  • Cyber Insurance, including business interruption, incident response and data breach expenses

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  • Directors & Officers (D&O) to protect the executives of the organization  

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  • Traditional commercial insurance including commercial propriety, general liability, workers compensation, commercial auto and umbrella

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Schedule a free Zoom Meeting consultation to discuss your specific protection needs and insurance requirements. Coverage is subject to underwriting and the terms, conditions and limits of the policy issue, and may vary from Insurer to Insurer. 

Smart Manufacturing Use Cases 

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Smart manufacturing leverages advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, big data analytics, and robotics to enhance manufacturing processes, but in the same time increase the exposure to cyber attacks and may fail, disrupting the operations and in worst cases scenarios causing accidents. Here are some of the top smart manufacturing use cases to consider in a risk management assessment :

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Predictive Maintenance

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  • Description: Utilizing IoT sensors and AI algorithms to monitor equipment in real-time and predict when maintenance is needed before a failure occurs.

  • Benefits: Reduces downtime, extends equipment life, and lowers maintenance costs.

  • Risks: Machines needs to be connected to the Solution Providers and become an entry point for a cyber attack and disruption

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Real-Time Monitoring and Analytics

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  • Description: Implementing sensors and data analytics platforms to provide real-time insights into manufacturing processes, including production rates, quality control, and equipment status.

  • Benefits: Enhances operational efficiency, improves product quality, and enables quick decision-making.

  • Risks: System failure may prevent the solution to deliver the Real-time promises causing disruption in the decision making that depends on the monitoring systems.  

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Supply Chain Optimization

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  • Description: Using AI and big data to optimize supply chain operations, including inventory management, logistics, and demand forecasting.

  • Benefits: Reduces inventory costs, improves delivery times, and enhances customer satisfaction.

  • Risks: optimizing inventory may also increase the likelihood of shortages and disruption across the value chain, AI solutions may resolve problems in unexpected ways and fail 

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Quality Control and Assurance

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  • Description: Deploying machine vision systems and AI to inspect products during and after production for defects and ensuring they meet quality standards.

  • Benefits: Reduces waste, ensures consistent product quality, and lowers the cost of rework.

  • Risks: Machine vision systems often capture and store large amounts of visual data, which can include sensitive or proprietary information

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Digital Twin Technology

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  • Description: Creating a virtual replica of physical manufacturing processes to simulate, analyze, and optimize production workflows and equipment performance.

  • Benefits: Enhances process optimization, reduces time-to-market, and improves overall efficiency.

  • Risks: Digital twins require vast amounts of data from physical assets and processes, which can include sensitive or proprietary information. This data is vulnerable to cyberattacks, hacking, and unauthorized access.

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Automated Material Handling

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  • Description: Using robotics and automated guided vehicles (AGVs) for the efficient transportation of materials within manufacturing facilities.

  • Benefits: Increases throughput, reduces labor costs, and minimizes human error.

  • Risks : AGVs connected to networks can be vulnerable to cyberattacks, which could compromise their operation and lead to significant disruptions. AGVs can pose safety hazards to human workers, especially if they malfunction or if there are errors in navigation and path planning.

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Energy Management

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  • Description: Implementing IoT sensors and AI to monitor and optimize energy consumption in manufacturing processes.

  • Benefits: Lowers energy costs, reduces carbon footprint, and enhances sustainability.

  • Risks :Implementing energy management systems can cause operational disruptions, particularly during installation and integration phases.

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Smart Factory Integration

  • Description: Integrating various smart manufacturing technologies and systems into a cohesive smart factory ecosystem, enabling seamless communication and collaboration between machines and humans.

  • Benefits: Increases overall productivity, enhances flexibility, and supports mass customization.

  • Risks: Increased connectivity and data sharing in smart manufacturing environments can expose the system to cyber threats and data breaches.

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Advanced Robotics and Automation

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  • Description: Utilizing advanced robotics for tasks such as assembly, welding, painting, and packaging, which are traditionally performed by human workers.

  • Benefits: Increases precision, reduces production time, and improves worker safety by handling hazardous tasks.

  • Risks: Robots can pose safety hazards to human workers, especially if they malfunction or if there are errors in programming

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Additive Manufacturing (3D Printing)

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  • Description: Using 3D printing technology for prototyping and production of complex parts and components with precision and flexibility.

  • Benefits: Reduces material waste, shortens development cycles, and allows for customization.

  • Risks : Digital files used in 3D printing can be easily copied and distributed, leading to potential IP theft and counterfeiting.

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Worker Safety and Augmented Reality (AR)

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  • Description: Implementing AR technology to provide workers with real-time information and guidance, improving safety and operational efficiency.

  • Benefits: Enhances training, reduces errors, and improves workplace safety.

  • Risks: AR devices can distract workers or provide too much information, leading to cognitive overload and potential accidents

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Blockchain for Traceability and Transparency

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  • Description: Using blockchain technology to create transparent and immutable records of manufacturing processes, from raw materials to finished products.

  • Benefits: Enhances traceability, improves quality assurance, and builds trust with consumers.

  • Risks: Storing and sharing data on a blockchain can raise privacy and security concerns, particularly for sensitive or proprietary information.

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