Many plant managers seek various means for shortening time to market and increased productivity, yet they are wary of the time-consuming, costly process of having to replace or upgrade complex systems to realize digitization. By implementing Advantech's multi-protocol, cross-system integration solution, managers can migrate seamlessly from traditional to future network infrastructure with minimum downtime and maximum flexibility.
Overall equipment effectiveness (OEE) refers to the percentage of planned production time that is truly productive. Most factories have an OEE score of only 60%, which indicates substantial room for improvement.
With visualized data, machine availability can be monitored and machine downtime managed to improve operational efficiency. Advantech's OEE solution optimizes operations by enabling data visualization for convenient real-time machine monitoring and supporting multi-platform data access for remote management and improved efficiency to increase manufacturing productivity.
Introducing the SRP-FPV220 Solution for MES Integration & Production Optimization
This Solution Ready Platform allows users to easily collect data from shop-floor devices via multiple communications such as Modbus, OPC UA and MQTT and automatically generates Excel reports of production activities. A 100% web-based dashboard allows users to view visual production information such as yield rate trends, equipment utilization or downtime alarms, available anytime on any mobile device supporting HTML5 browsers. Valuable information about field equipment, energy consumption and the environment can also be integrated within the MES system via open interfaces including SQL database and RESTful/SignalR API's to help optimize production planning and provide efficiency analysis improvements.
The Longling-Ruili Highway, a section of the National Superhighway Network between Hangzhou and Ruili, Yunnan, stretches 157.712 km from the four-lane Baoshan-Longling Expressway to Ruili at the China-Myanmar border. Along the way, there are 154.6 km of expressways and 3.112 km of Class 2 highways, as well as a mega bridge, 158 regular bridges, eight tunnels (including the 3.130-km Mangsa Tunnel), and nine highway intersections, al of which amount to a total investment of RMB 10.941 billion.
A global partner for the automotive industry who develops products for transmissions, engines, drivelines and fasteners started a company optimization program with the support of Net Surfing to optimize internal industrial asset management and energy consumption starting from the existing machinery and infrastructure by combining the asset management system with IIoT energy saving technology.
A wastewater treatment plant is a basic infrastructure in modern society to purify wastewater created by homes and businesses. It operates 24 hours a day and wastewater treatment comprises multiple processes to remove solids, organic compounds and other matters. Such a complex workflow needs a careful management and it is insufficient only being supervised by plant personnel. Besides, the source water quality can be changed in an instant and any negligence or mistake may lead to improper treatment or cause environmental pollution. Therefore, the automatic monitoring and control system has been playing a very important role in ensuring the treated effluent to meet the environmental regulations and government criteria before discharging into the sewer or river.
With the advent of industrial IoT and Industry 4.0, manufacturing has entered a fourth revolution. The gradual transformation of typical factories into intelligent ones has become a trend in manufacturing industries worldwide. Data is a core element in this transformation process. However, data acquisition can be surprisingly difficult in many factories. This is because many machines and controllers use a closed architecture and require specific drivers for data acquisition.
Topics: Automation Software
Through the influence of Industry 4.0 and IoT, the manufacturing industry is ready to transition to smart factories. The first step in the process of transformation is to collect production line data from the automated equipment network.
The evolution and proliferation of industrial automation and IIoT devices has created a wealthy of data sources. Effectively harnessing this data empowers end-users to make data-driven decisions and add value to any operation.
Topics: Automation Software