Gartner defines an advanced distribution management system (ADMS) as the real-time operations support system of an electricity distribution network. Utilities use ADMSs to monitor, control and operate physical field assets (owned by the utility) to provide reliable electric service to customers. The ADMS estimates the state of the distribution network to optimize asset utilization and minimize losses. An ADMS can manage and guide outage restoration activities by identifying the fault location, isolating and restoring affected equipment, and returning the system to its desired operating state.
Gartner defines the asset performance management (APM) software market as the software and applications that optimize the reliability and availability of industrial operational assets. The market is particularly attractive to asset-intensive industries, including power, utilities, manufacturing, oil and gas, natural resources, telcos, and transportation (excluding aviation, which has specialized requirements). In these industries, asset failure can have a significant impact on service delivery, the bottom-line revenue, and safety and reputation. APM is primarily deployed on industrial assets, including fixed industrial plants and equipment, linear assets or infrastructure, fleets, and facilities.
Gartner defines FSM as software suites that support FSPs whose technicians typically travel to customer locations to provide installation, repair, inspection and maintenance services for equipment and systems (consumer, commercial or industrial). FSPs may also manage, maintain and monitor these assets under a predefined service or maintenance contract.
The global industrial IoT platform delivers multiple integrations to industrial OT assets and other asset-intensive enterprises’ industrial data sources to aggregate, curate and deliver contextualized insights that enable intelligent applications and dashboards through an edge-to-cloud architecture. The global industrial Internet of Things (IIoT) platform market exists because of the core capabilities of integrated middleware software that support a multivendor marketplace of intelligent applications to facilitate and automate asset management decision making. IIoT platforms also provide operational visibility and control for plants, infrastructure and equipment. Common use cases are augmentation of industrial automation, remote operations, sustainability and energy management, global scalability, IT/operational technology (OT) convergence, and product servitization of industrial products. The IIoT platform monitors IoT endpoints and event streams, supports and/or translates a variety of manufacturer and industry proprietary protocols, analyzes data in the platform, at the edge and in the cloud, integrates and engages IT and OT systems in data sharing and consumption, enables application development and deployment and can enrich and supplement OT functions for improved asset management life cycle strategies and processes. In some emerging use cases, the IIoT platform may obviate some OT functions.
Gartner defines manufacturing execution systems as a specialist class of production-oriented software that manages, monitors and synchronizes the execution of real-time physical processes involved in transforming raw materials into intermediate and/or finished goods. These systems coordinate the execution of work orders with production scheduling and enterprise-level systems like ERP, product life cycle management and quality management systems. MES applications also provide feedback on process performance, and support component and material-level traceability, genealogy and integration with process history, where required.
Overall Equipment Effectiveness (OEE) Software is a digital solution designed to monitor, analyze and optimize manufacturing processes by calculating the OEE metric - a key performance indicator that measures how effectively production equipment is utilized. It tracks three core components: availability (downtime vs planned production time), performance (operating speed relative to maximum potential), and quality (defect free output vs total production). By integrating with machinery via IoT sensors, PLCs, or manual data inputs, it collects real time data to automatically compute OEE, offering visibility into inefficiencies such as unplanned stoppages, speed losses, or defects. It transforms raw data into actionable insights through dashboards, reports and alerts, enabling manufacturing to identify bottlenecks, prioritize maintenance, and streamline operations. Ultimately OEE Software empowers organizations to reduce waste, enhance productivity, and align with lean manufacturing principles by turning operational data into measurable improvement in equipment utilization and overall production efficiency.
Rail operations management systems are integrated frameworks that optimize railway operations by managing train schedules, infrastructure and service quality. These systems utilize advanced signaling to control train movements and prevent collisions, enhancing safety and efficiency. Real-time data monitoring allows for effective traffic flow management and prompt response to operational issues. Key users, including railway operators, maintenance teams and traffic controllers, rely on these systems for schedule management, maintenance execution and ensuring safe train operations.
Reviews for 'Vertical Industries - Others'