{"id":15228,"date":"2026-05-07T16:25:17","date_gmt":"2026-05-07T16:25:17","guid":{"rendered":"https:\/\/powersolution.es\/how-to-improve-the-visibility-of-industrial-assets-with-ibm-maximo\/"},"modified":"2026-09-14T17:35:00","modified_gmt":"2026-09-14T17:35:00","slug":"how-to-improve-the-visibility-of-industrial-assets-with-ibm-maximo","status":"publish","type":"post","link":"https:\/\/www.powersolution.es\/en\/how-to-improve-the-visibility-of-industrial-assets-with-ibm-maximo\/","title":{"rendered":"How to Improve the Visibility of Industrial Assets with IBM Maximo"},"content":{"rendered":"\n

In the fast-paced Industry 4.0 ecosystem, asset management<\/strong> for achieving day-to-day operational success has become a monumental task. Industrial plants face a constant challenge: consolidating information from scattered sources and resolving issues in real time while trying to innovate under the pressure of high costs<\/strong> caused by unplanned downtime, shortages of skilled personnel, and the urgent need for decarbonization.<\/p>\n\n\n\n

Traditionally, asset visibility<\/strong> has been a “black box.” Many companies, even those with annual revenues of tens of millions of euros, continue to operate under a reactive maintenance model, relying on Excel spreadsheets that produce outdated data and conceal the natural wear and tear<\/strong> of machinery.<\/p>\n\n\n\n

However, technology has changed the rules of the game. IBM Maximo Application Suite (MAS) 9.0<\/strong> is not simply industrial asset management software; it is a comprehensive AI-powered industrial maintenance<\/strong> platform that turns an ocean of data into real operational efficiency<\/strong>.<\/p>\n\n\n\n

IBM Maximo Application Suite provides a comprehensive asset management view by connecting maintenance, operations, condition data, planning, reliability, and asset lifecycle analysis. Its value lies not only in recording information, but in turning that information into operational, technical, and financial decisions.<\/p>\n\n\n\n

When the plant operates with incomplete information<\/h2>\n\n\n\n

In sectors such as food and beverage, manufacturing, chemicals, metalworking, or automotive, operations depend directly on the condition of machinery. A packaging line, pump, compressor, boiler, refrigeration system, or conveyor is not simply a piece of equipment: it is a productive asset that directly affects plant continuity.<\/p>\n\n\n\n

However, it is still common to find companies managing work orders, intervention histories, technical inventories, or spare parts using Excel, paper, emails, or systems that do not communicate with one another. Even when an ERP is in place, many day-to-day decisions still depend on manual, incomplete, or difficult-to-use information.<\/p>\n\n\n\n

The consequence is clear: decisions are made too late, priorities are determined by urgency, traceability is lost, and the high costs associated with downtime, rework, emergency purchases, and inefficient use of technical resources increase.<\/p>\n\n\n\n

Effective asset management makes it possible to move away from this reactive approach toward a model in which every piece of equipment has context, history, criticality, and operational data available to the people responsible for making decisions.<\/p>\n\n\n\n

The end of the “firefighting” era<\/strong><\/h2>\n\n\n\n

One of the biggest pain points in processing companies<\/strong> and manufacturing operations is the lack of visibility. When a manager does not have a clear overview, decisions are based on assumptions, affecting the plant’s availability rates<\/strong>.<\/p>\n\n\n\n

The hidden costs of poor visibility:<\/h3>\n\n\n\n