ABB Distributed Control Systems
Home

blog

Reducing Unplanned Downtime: The Key to Optimizing Manufacturing Operations

January 21,2025

The Growing Challenge of Unplanned Downtime

Unplanned downtime remains a significant obstacle for manufacturers globally. While scheduled maintenance is an essential part of machine upkeep, unforeseen breakdowns can have a far-reaching impact on operations. The aerospace, automotive, and pharmaceutical sectors, in particular, are highly reliant on machinery, and even short periods of unplanned downtime can lead to substantial production losses. The average factory loses about 25 hours of production per month due to unplanned downtime, which equates to nearly two weeks of lost productivity every year. These figures demonstrate the scale of the challenge and emphasize the need for better downtime management.

The Rising Cost of Unscheduled Downtime

As manufacturing systems become more complex, the cost of unscheduled downtime is increasing rapidly. In industries like automotive and oil and gas, an hour of downtime can now cost millions. For example, in automotive plants, the cost has risen to over $2 million per hour, compared to $1.3 million in previous years. The rising cost is driven by factors like inflation, stretched production capacity, and stressed supply chains. These estimates also fail to account for additional hidden costs such as maintenance labor, expedited shipping of parts, and the potential loss of business. Even with this alarming increase, many manufacturers continue to rely on reactive maintenance strategies, such as "run-to-fail" or "time-based" approaches, which do not address the severity of potential failures and are ultimately unsustainable.

The Role of Predictive Maintenance in Minimizing Downtime

To combat unplanned downtime effectively, manufacturers are turning to predictive maintenance. This forward-thinking approach leverages advanced technologies such as sensors, artificial intelligence (AI), and real-time analytics to monitor equipment health. By using predictive models, manufacturers can anticipate when machines are likely to fail, allowing them to schedule maintenance proactively. This not only minimizes unplanned downtime but also offers an opportunity to conduct thorough inspections, replace worn components, and perform preventive tasks like lubrication and calibration.

Furthermore, predictive maintenance is closely tied to Industry 4.0 principles, integrating the Internet of Things (IoT) and AI to create smarter, interconnected factories. By embracing predictive maintenance, manufacturers can also improve overall equipment efficiency (OEE), enhance product quality, and reduce energy consumption.

Smart Supply Chains: Extending Predictive Maintenance Benefits

While predictive maintenance is a crucial part of minimizing downtime, its benefits can be extended further by adopting smart supply chain strategies. Supply Chain 4.0 builds on the concepts of Industry 4.0 and integrates real-time data, automation, and AI throughout the entire value chain. With enhanced visibility and connectivity between suppliers, manufacturers, and customers, businesses can ensure that parts are available when needed, reducing the risk of stockouts and production delays.

For example, AI-powered demand forecasting helps manufacturers predict future product demand with greater accuracy. By incorporating factors like customer behavior and market trends, manufacturers can optimize their inventory, preventing overstocking and understocking, both of which contribute to unplanned downtime.

Optimizing Operations with Real-Time Inventory and Logistics

Another key area where Industry 4.0 and Supply Chain 4.0 offer benefits is inventory management. AI and automation can help reorder spare parts automatically, ensuring that the necessary components are available before scheduled downtime. This proactive approach reduces the risk of delays caused by missing or delayed parts and further minimizes unplanned downtime.

In addition, the logistics process has become increasingly streamlined with IoT devices, GPS, and RFID tags. These technologies enable real-time tracking of shipments, allowing logistics managers to optimize delivery routes based on current conditions. This ensures that parts and components are delivered on time, even when facing unexpected changes, keeping production running smoothly.

Conclusion: A Smarter Future for Manufacturing

The integration of predictive maintenance and smart supply chains is transforming the manufacturing landscape, offering a smarter, more efficient approach to managing downtime. By embracing advanced technologies like AI, IoT, and automation, manufacturers can monitor their equipment health in real-time, predict potential failures, and optimize every aspect of the production process. Shifting from reactive maintenance strategies to proactive, data-driven approaches not only helps reduce downtime but also improves overall efficiency, product quality, and customer satisfaction. As Industry 4.0 and Supply Chain 4.0 continue to evolve, the future of manufacturing will be defined by operations that run more smoothly and efficiently with minimized downtime.

Hot Tags : D2D160-CE02-11 6ES7431-1KF20-0AB0 140CRP31200

News & Blogs

  • Unlocking the Power of Schneider Electric's 140NOE77111 Ethernet Network TCP/IP Module for Enhanced Automation 21/01

    2025
    Unlocking the Power of Schneider Electric's 140NOE77111 Ethernet Network TCP/IP Module for Enhanced Automation
    Introduction to the Modicon Quantum Automation Platform Schneider Electric's 140NOE77111 Ethernet Network TCP/IP Module is designed to provide a seamless communication interface within the Modicon Quantum automation platform. This module enhances your automation system by offering robust connectivity and streamlined communication for a wide range of industrial applications. Key Features of the 140NOE77111 Ethernet Network Module The 140NOE77111 module is packed with advanced features aimed at improving operational efficiency. These features include: Transparent Ready Technology: Ensuring easy integration into existing systems. Web Server Class C30: Enables the monitoring of the system remotely through a web interface. Web Services: Facilitates the exchange of data and commands over the internet. FactoryCast Configurable: Provides customization options to fit specific project requirements. These features make the module ideal for industrial and commercial applications that require reliable, high-performance networking. Communication Services and Protocols A standout feature of the 140NOE77111 Ethernet Network Module is its array of communication services, including: Modbus TCP/IP: The most widely used protocol in industrial automation. FDR Server: Efficiently handles communication between devices. Global Data and I/O Scanning: Facilitates the exchange of real-time data between devices on the network. NTP Time Synchronization: Ensures accurate timekeeping across the system. The variety of communication protocols available ensures that the module can support a wide range of network configurations. Physical Interfaces and Transmission Rate The 140NOE77111 module is designed for flexibility and high-speed data transmission. It features the following physical interfaces: MT/RJ 100BASE-FX Fiber Optic: Ideal for long-distance communication. RJ45 10BASE-T/100BASE-TX Twisted Pair: Suitable for more localized connections. With transmission rates of 10/100 Mbit/s, this module provides fast and reliable communication, ensuring that data flows smoothly across the network. Enhanced Network Management Capabilities Managing your network effectively is critical in industrial environments, and the 140NOE77111 module excels in this area with the following management features: SNMP Network Management: Provides tools for monitoring network performance and identifying issues. SMTP E-mail Notification: Sends automatic email alerts for important system events. Bandwidth Management: Ensures optimal data flow and prioritization, minimizing congestion. These capabilities ensure that the module helps maintain the integrity and reliability of the network, even in complex industrial systems. Versatile Applications and Use Cases The Schneider Electric 140NOE77111 Ethernet Network TCP/IP Module is ideal for a wide range of industrial use cases, including: Automation Systems: Integration into factory automation and process control systems. Remote Monitoring: Access system data re...
    All News
  • MOORE Company 2024 Year-End Celebration: Unite our hearts and create brilliance together 20/01

    2025
    MOORE Company 2024 Year-End Celebration: Unite our hearts and create brilliance together
    Reflecting on Achievements, Embarking on a New Journey January 17, 2025, 2024, MOORE Company hosted its grand year-end celebration at its headquarters in XIAMENS under the theme "Chasing Dreams, Creating the Future." The event not only reviewed the company's achievements over the past year but also injected fresh energy and expectations for the coming year. Employees, partners, and industry guests gathered to celebrate this significant occasion. A Glorious 2024: Milestones and Achievements During the opening of the celebration, MOORE's CEO delivered an inspiring speech, highlighting the company's remarkable accomplishments in 2024: Market Expansion: Successfully entered multiple emerging markets, further expanding its global business footprint. Technological Innovation: Achieved breakthroughs in key areas such as automation control and industrial. Customer Service: Reached a record-high customer satisfaction level, with several solutions recognized as the best of the year. Corporate Culture: Strengthened team cohesion and social influence through employee training, cultural activities, and social responsibility initiatives. The CEO remarked, "These achievements would not have been possible without the dedication and hard work of every MOORE employee. Looking ahead, we are determined to set even higher goals and drive the company to new heights." Highlights of the Celebration The MOORE 2024 year-end celebration was not just a summary meeting but also a warm and joyful gathering filled with exciting moments: Highlight Reel: A meticulously produced video showcased the company’s key milestones and successes in 2024, taking everyone through the journey of the past year. Recognition Ceremony: Awards such as “Annual Outstanding Contribution Award,” “Innovation Pioneer Award,” and “Best Team Award” were presented to motivate employees to achieve even greater success in the coming year. Performances: Creative and entertaining performances by employees highlighted their talent and team spirit. Lucky Draw: The climax of the event was the thrilling lucky draw, where numerous prizes brought the atmosphere to a peak Looking Ahead to 2025: New Goals and Opportunities In the strategic outlook session, the executive team presented a detailed plan for 2025: Accelerating Digital Transformation: Introduce advanced technology and digital tools to provide smarter and more efficient solutions for clients. Global Expansion: Strengthen market presence in Asia, North America, and Europe to build a more robust global supply chain. The leadership emphasized, “2025 will be a year full of challenges and opportunities. We are ready to take bold steps towards an even brighter future.” Moving Forward Together, Creating the Future The MOORE 2024 year-end celebration concluded successfully amidst joy and heartfelt moments. This event was not only a reflection on the past year but also an opportunity for employees and partners to collectively envision the future. As the CEO noted i...
    All News
  • Understanding the GE IS200VTURH2BAC Vibration Transducer Interface Module: A Critical Component for Turbine Control Systems 16/01

    2025
    Understanding the GE IS200VTURH2BAC Vibration Transducer Interface Module: A Critical Component for Turbine Control Systems
    Introduction to the GE IS200VTURH2BAC The GE IS200VTURH2BAC is a highly sophisticated vibration transducer interface module designed for use in GE Speedtronic Gas Turbine Control Systems. As part of the Mark VI series, this module plays a crucial role in ensuring the safe and efficient operation of gas turbines, particularly in terms of vibration monitoring and turbine overspeed protection. Its advanced features and precise functionality make it a reliable solution for turbine control in industrial applications. Key Features and Specifications of the IS200VTURH2BAC The IS200VTURH2BAC boasts an impressive set of specifications that ensure its optimal performance in demanding environments. Key details include: Part Number: IS200VTURH2BAC Manufacturer: General Electric Series: Mark VI Product Type: Vibration Transducer Interface Module Board Rating: 125 V dc Common Mode Voltage Range: ±5 V Dimensions: 11.00 x 9.00 x 3.00 inches Operating Temperature Range: 0 to 60 °C Number of Analog Voltage Inputs: 6 These features ensure that the IS200VTURH2BAC provides both flexibility and durability in a range of industrial turbine control systems. Role of the IS200VTURH2BAC in Turbine Protection The primary function of the IS200VTURH2BAC is to facilitate turbine overspeed protection, which is critical to prevent potential damage to turbines in power generation systems. This module is used to interface with vibration transducers that monitor the condition of turbines and detect any abnormal vibrations that could indicate overspeed conditions or mechanical failure. In a turbine overspeed protection system, the IS200VTURH2BAC works in conjunction with various other components, including the TTUR terminal board and the VTUR I/O board, to deliver a comprehensive safety mechanism. When the controller identifies a trip condition based on the vibration and speed signals it receives, it can automatically trigger a shutdown procedure to protect the turbine from damage. How the IS200VTURH2BAC Ensures Safe Turbine Operation The GE IS200VTURH2BAC interfaces directly with turbine controllers to provide real-time data monitoring and control. In the event of an overspeed situation, the controller uses a three-level protection system: control, primary, and emergency. These levels of protection ensure that the turbine is adequately safeguarded under all operating conditions. Control Protection: Managed by closed-loop speed control through the fuel/steam valves. Primary Overspeed Protection: Automatically managed by the controller through real-time speed feedback. Emergency Protection: Triggered by a trip signal sent from the controller to the TRPG terminal board, which effectively removes power from critical solenoids, halting turbine operation. This tiered approach provides robust protection, ensuring that turbines operate within safe parameters at all times. Installation and Maintenance Considerations Installing and maintaining the GE IS200VTURH2BAC module requires specialized...
    All News
  • Everything You Need to Know About the Yokogawa SPW481-13 S1 Power Supply Module 15/01

    2025
    Everything You Need to Know About the Yokogawa SPW481-13 S1 Power Supply Module
    Overview of the Yokogawa SPW481-13 S1 Power Supply Module The Yokogawa SPW481-13 S1 Power Supply Module is a key component in ensuring the proper operation of I/O modules in industrial settings. Designed to be versatile, this power supply module connects to various voltage sources, including 100-120 V AC, 220-240 V AC, and 24 V DC, to provide reliable and insulated power to connected systems. With dual-redundant output capabilities, it enhances system reliability and uptime in critical industrial applications. Key Features of the SPW481-13 S1 Power Supply Module The SPW481-13 S1 is equipped with a range of features that contribute to its efficiency and versatility. It provides insulated outputs of +5 V and +24 V, which are essential for supporting each installed I/O module through the backboard. One of the significant advantages of this module is its support for dual-redundant operation, ensuring that the system remains operational even in the event of a failure in one power source. This power supply module is compatible with the ProSafe-RS system and is available in multiple variations to accommodate different voltage requirements: SPW481 (100-120 V AC) SPW482 (220-240 V AC) SPW484 (24 V DC) Benefits of Dual-Redundant Power Supply The SPW481-13 S1 module's dual-redundant power supply feature significantly enhances system reliability. This redundancy is crucial in industrial environments where downtime can result in costly disruptions. By providing two separate power supplies that can seamlessly take over in case one fails, the module ensures continuous power to critical systems and minimizes the risk of failure. This feature is especially valuable in applications where uptime and operational continuity are paramount. Applications and Use Cases The SPW481-13 S1 Power Supply Module is widely used in industrial automation systems, particularly in systems that require high levels of reliability and continuous operation. It is commonly found in applications such as process control, monitoring systems, and safety-critical environments. The versatility in voltage input makes it a flexible choice for businesses looking for a reliable power supply module that can adapt to varying power sources. Installation and Maintenance Considerations Installing the SPW481-13 S1 Power Supply Module is straightforward, but it’s essential to follow manufacturer guidelines to ensure optimal performance. The module should be connected to the appropriate voltage source, either 100-120 V AC, 220-240 V AC, or 24 V DC, based on the system’s requirements. Regular maintenance checks, including testing the dual-redundant outputs and verifying the integrity of the connections, will help extend the lifespan of the module and prevent any unexpected system failures. Conclusion The Yokogawa SPW481-13 S1 Power Supply Module is a reliable and essential component for powering I/O modules in industrial automation systems. With its dual-redundant power supply capabilities, it ensures cont...
    All News
  • Reducing Unplanned Downtime: The Key to Optimizing Manufacturing Operations 21/01

    2025
    Reducing Unplanned Downtime: The Key to Optimizing Manufacturing Operations
    The Growing Challenge of Unplanned Downtime Unplanned downtime remains a significant obstacle for manufacturers globally. While scheduled maintenance is an essential part of machine upkeep, unforeseen breakdowns can have a far-reaching impact on operations. The aerospace, automotive, and pharmaceutical sectors, in particular, are highly reliant on machinery, and even short periods of unplanned downtime can lead to substantial production losses. The average factory loses about 25 hours of production per month due to unplanned downtime, which equates to nearly two weeks of lost productivity every year. These figures demonstrate the scale of the challenge and emphasize the need for better downtime management. The Rising Cost of Unscheduled Downtime As manufacturing systems become more complex, the cost of unscheduled downtime is increasing rapidly. In industries like automotive and oil and gas, an hour of downtime can now cost millions. For example, in automotive plants, the cost has risen to over $2 million per hour, compared to $1.3 million in previous years. The rising cost is driven by factors like inflation, stretched production capacity, and stressed supply chains. These estimates also fail to account for additional hidden costs such as maintenance labor, expedited shipping of parts, and the potential loss of business. Even with this alarming increase, many manufacturers continue to rely on reactive maintenance strategies, such as "run-to-fail" or "time-based" approaches, which do not address the severity of potential failures and are ultimately unsustainable. The Role of Predictive Maintenance in Minimizing Downtime To combat unplanned downtime effectively, manufacturers are turning to predictive maintenance. This forward-thinking approach leverages advanced technologies such as sensors, artificial intelligence (AI), and real-time analytics to monitor equipment health. By using predictive models, manufacturers can anticipate when machines are likely to fail, allowing them to schedule maintenance proactively. This not only minimizes unplanned downtime but also offers an opportunity to conduct thorough inspections, replace worn components, and perform preventive tasks like lubrication and calibration. Furthermore, predictive maintenance is closely tied to Industry 4.0 principles, integrating the Internet of Things (IoT) and AI to create smarter, interconnected factories. By embracing predictive maintenance, manufacturers can also improve overall equipment efficiency (OEE), enhance product quality, and reduce energy consumption. Smart Supply Chains: Extending Predictive Maintenance Benefits While predictive maintenance is a crucial part of minimizing downtime, its benefits can be extended further by adopting smart supply chain strategies. Supply Chain 4.0 builds on the concepts of Industry 4.0 and integrates real-time data, automation, and AI throughout the entire value chain. With enhanced visibility and connectivity between suppliers, manufact...
    All Blogs
  • How the Pandemic Accelerated Digitalization in Manufacturing 16/01

    2025
    How the Pandemic Accelerated Digitalization in Manufacturing
    The Impact of COVID-19 on the Manufacturing Industry The COVID-19 pandemic disrupted global economies and forced industries to rethink their strategies. Manufacturers, once cautious in their adoption of digital technologies, found themselves scrambling to adapt to new realities. Remote work, social distancing, and an unpredictable market made digitalization not just a competitive edge but a necessity. This shift marked a major turning point for manufacturers as they embraced automation and digital technologies to maintain operations and ensure business continuity. Cloud Services: The Backbone of Remote Operations One of the most significant changes during the pandemic was the rapid shift to remote work. With lockdowns and restrictions in place, manufacturers needed secure, reliable access to their data and systems from anywhere. Cloud services became the lifeline for businesses, enabling remote teams to stay connected and operational. By investing in cloud infrastructure, companies were able to continue their operations smoothly despite disruptions. The pandemic underscored the importance of cloud-based solutions for data security, collaboration, and business continuity, ensuring that companies could respond quickly to evolving challenges. Benefits of Cloud Managed Services Cloud-managed services provide several benefits to manufacturers, especially in times of crisis. With features like enhanced security, continuous monitoring, and automated backups, cloud services protect sensitive data and ensure seamless business operations. These services also offer increased flexibility for companies transitioning to a hybrid or fully remote workforce. As remote work becomes more entrenched, manufacturers that adopted cloud technologies early on will have an advantage in navigating future disruptions. Cloud services are not just a luxury; they are essential for long-term business sustainability. Digital Warehouse Automation: Enhancing Efficiency and Meeting Demand The shift in demand patterns during the pandemic exposed vulnerabilities in supply chains, making it crucial for manufacturers to optimize their operations. Digital warehouse automation emerged as a key strategy in adapting to these challenges. Smart warehouses, powered by automated systems and data processing, are now transforming the way goods are managed. These technologies improve operational efficiency, reduce human error, and ensure safety within warehouse environments. The Rise of Automated Guided Vehicles (AGVs) Automated Guided Vehicles (AGVs) have become essential tools in warehouse automation. Prior to the pandemic, the AGV market was already expanding rapidly. However, the need for contactless and efficient solutions during the pandemic has led to a surge in adoption. AGVs help move goods with minimal human intervention, improving productivity and reducing the risk of contamination in warehouses. Integration with technologies like 5G further enhances AGVs, enabling real-time communicat...
    All Blogs
  • The Evolution of Emotionally Intelligent and Tactile Robots 15/01

    2025
    The Evolution of Emotionally Intelligent and Tactile Robots
    The Role of Emotions in Human-Robot Interaction Robots like Sophia, the world-renowned humanoid, and AI chatbots have revolutionized how we perceive artificial intelligence. By simulating human emotions, these robots create more engaging and relatable interactions. However, while their emotional responses are impressive, they remain programmed simulations, lacking the true sensory and emotional depth of human experiences. A particularly intriguing challenge lies in replicating the human sense of touch, a nuanced ability essential for emotional and physical connection. Sophia’s conversational skills highlight the progress made in AI-driven emotional intelligence. Yet, the ability to genuinely sense and respond to touch is still an area where robots lag behind humans. This sensory gap poses a challenge for robotics researchers aiming to bring machines closer to human-like capabilities. Automation Revolutionizing the Supply Chain Automation has redefined industrial workflows, with robots taking on critical roles to enhance productivity and efficiency. In the supply chain, industrial robots excel in tasks requiring precision, speed, and repetition. These machines are invaluable for handling monotonous or hazardous jobs, freeing human workers to focus on strategic and creative roles. Despite their efficiency, robots face limitations in areas requiring dexterity and adaptability, such as managing fragile or irregularly shaped items. Human hands remain unmatched in these scenarios, particularly in warehouse environments where sensitivity and precision are crucial for handling delicate products. Collaborative Robots: Working Hand-in-Hand with Humans The emergence of collaborative robots, or cobots, marks a significant milestone in robotics. Unlike traditional industrial robots, cobots are designed to work safely alongside humans. Their smaller size and precision make them ideal for tasks in tight or dynamic spaces. However, even with these advancements, cobots often struggle with tasks requiring a gentle touch. For instance, handling eggs or fragile glassware demands a level of tactile sensitivity and adaptability that many cobots have yet to achieve. While they reduce risks and increase operational flexibility, further innovation is needed to bridge this gap. Breakthroughs in Robotic Touch Technology Recent innovations are bringing robots closer to emulating the human sense of touch. Notable breakthroughs include the development of Hank, a robot engineered by Cambridge Consultants. Hank uses advanced sensors and soft grippers controlled by airflow to mimic human-like tactile sensitivity. Each finger on Hank operates independently, enabling it to handle small, irregular, or delicate objects without requiring constant reprogramming. Similarly, Wootzano’s electronic skin is transforming robotic capabilities. This cutting-edge technology integrates piezoelectric and piezoresistive sensors, along with embedded temperature sensors, allowing robots to detect a...
    All Blogs
  • The Future of Robotics: How AI is Revolutionizing the Industry 14/01

    2025
    The Future of Robotics: How AI is Revolutionizing the Industry
    Introduction: The Shift Towards AI-Driven Robotics The robotics industry is experiencing a remarkable transformation. Moving away from rigid, static systems, robots are becoming more dynamic, adaptive, and capable of real-time learning, thanks to the integration of artificial intelligence (AI). This change is opening up new possibilities to improve workplace safety, efficiency, and productivity. AI is Revolutionizing the Capabilities of Robots Traditional robots were built for specific, fixed tasks with predetermined programming. These machines excelled in controlled environments, but they struggled when faced with unexpected variables or changes in their tasks. A famous example of this was Tesla's 2018 production scale-up, where minor adjustments led to costly reprogramming of robots. AI changes the game by enabling robots to adapt to their surroundings. Through techniques like reinforcement learning, robots can recalibrate their actions in real-time based on feedback from sensors, eliminating the need for manual intervention. This shift not only boosts efficiency but also improves the overall quality of the work being done. The Growth of AI Infrastructure: Making Robotics More Accessible The infrastructure that supports AI in robotics has come a long way, particularly with the decreasing costs of GPUs, TPUs, and advanced models like large language models (LLMs). These technological advancements are making AI-driven robots more accessible to companies of all sizes. What was once a high-cost investment is now within reach for many industries looking to modernize their operations. Humanoid Robots: Expanding Opportunities Across Industries While AI is transforming manufacturing with tools like predictive maintenance and defect detection, one of the most exciting developments lies in humanoid robots. These robots are designed to work in environments made for humans, using existing tools and navigating spaces without requiring major changes. Humanoid robots offer a versatile and cost-effective solution, with some models, like Unitree’s G1 humanoid priced at $20,000, becoming accessible to industries beyond manufacturing. Fields like logistics, healthcare, and customer service are seeing the integration of these robots, expanding their potential applications. Overcoming Challenges: Lessons Learned from the Past The development of adaptive robotics has been shaped by the need to overcome real-world challenges. Drone delivery systems, for example, faced significant obstacles due to regulatory barriers and logistical limitations. These experiences have taught industries the importance of creating technology that works within practical constraints. Adaptive robots are now addressing some of the most pressing workplace safety issues. In high-risk environments, such as bakeries where workers face potential burns, AI-powered robots can take over dangerous tasks, protecting employees while maintaining productivity. Conclusion: A Safer, Smarter Future with AI ...
    All Blogs
leave a message
If you are interested in our products and want to know more details,please leave a message here,we will reply you as soon as we can.
submit

Our hours

Mon 11/21 - Wed 11/23: 9 AM - 8 PM
Thu 11/24: closed - Happy Thanksgiving!
Fri 11/25: 8 AM - 10 PM
Sat 11/26 - Sun 11/27: 10 AM - 9 PM
(all hours are Eastern Time)

Home

Products

whatsApp

Contact Us