{"id":46221,"date":"2026-08-06T14:14:29","date_gmt":"2026-08-06T08:44:29","guid":{"rendered":"https:\/\/www.verdantis.com\/?p=46221"},"modified":"2026-08-06T20:17:38","modified_gmt":"2026-08-06T14:47:38","slug":"reduccion-de-costes-de-mantenimiento-reparacion-y-operaciones-mro","status":"publish","type":"post","link":"https:\/\/www.verdantis.com\/es\/reduccion-de-costes-de-mantenimiento-reparacion-y-operaciones-mro\/","title":{"rendered":"De d\u00f3nde proceden los ahorros reales en la reducci\u00f3n de costes de MRO"},"content":{"rendered":"
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MRO cost reduction is real, but only through specific, provable levers, and almost never the way it gets pitched.<\/p>

Industry data consistently shows 15-25% of MRO inventory value sitting in obsolete or surplus stock, carrying costs of 18-30% a year, and a 30-60% premium on every emergency buy.<\/p>

Disciplined programs release millions in working capital because of this exposure, not despite it.<\/p>

The savings only materialize when optimization respects asset criticality, works on your data as it exists today, and gets measured against a baseline finance has signed off on.<\/p>

Programs that skip those three conditions produce the inflated claims that made you skeptical in the first place.<\/p>

That skepticism deserves to be taken seriously rather than talked past. Anyone who has owned a storeroom number for more than a few years has seen an inventory-reduction initiative that looked great in the business case and evaporated in reality.<\/p>

Some even succeeded on paper while quietly setting up the stockout that idled a production line six months later.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The Real Cost Categories Behind MRO Spend<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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MRO cost reduction is the disciplined reduction of maintenance, repair, and operations spend without increasing the risk of asset failure or unplanned downtime.<\/p>

It covers more than the price paid for parts. Four categories typically make up the total cost exposure at an asset-intensive facility, and most programs focus on only the first two.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\ud83d\udce6<\/div>\r\n

Inventory carrying cost<\/h4>\r\n

\r\n Capital tied up in parts sitting on shelves, plus storage, insurance, and shrinkage.\r\n Running at 18\u201330% of the value held, annually.\r\n <\/p>\r\n <\/div>\r\n\r\n

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\ud83d\ude9a<\/div>\r\n

Procurement and expedite cost<\/h4>\r\n

\r\n The price paid for parts and freight, inflated further whenever an order is placed\r\n under a stockout at a 30\u201360% premium.\r\n <\/p>\r\n <\/div>\r\n\r\n

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\ud83d\udc64<\/div>\r\n

Labor and process cost<\/h4>\r\n

\r\n Planner and technician time spent expediting, searching for parts,\r\n or reworking a job because the wrong part arrived.\r\n <\/p>\r\n <\/div>\r\n\r\n

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\u26a1<\/div>\r\n

Downtime and lost-production cost<\/h4>\r\n

\r\n The largest and least visible category: production value lost while an asset\r\n waits on a part, running $120K\u2013$260K per idle hour depending on industry.\r\n <\/p>\r\n <\/div>\r\n\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Programs that only chase the first two categories cap their own upside. The largest recoverable value sits in the category most vendor pitches mention last: downtime.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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How to Measure Whether the Savings are Real?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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A program without baseline metrics cannot prove realized savings later. These are the KPIs finance and maintenance both recognize, and the ones a value case should be built against.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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KPI<\/th>What it measures<\/th>Who tracks it<\/th><\/tr>
MRO spend as % of replacement asset value (RAV)<\/td>Overall spend discipline relative to the asset base<\/td>Finance & reliability<\/td><\/tr>
Inventory turns<\/td>How efficiently stock converts to consumption<\/td>Inventory manager<\/td><\/tr>
Fill rate \/ service level<\/td>Share of part requests met from stock without delay<\/td>Planificador de mantenimiento<\/td><\/tr>
Dead stock as % of inventory value<\/td>Obsolete or non-moving stock as a share of total value<\/td>Inventory manager<\/td><\/tr>
Emergency PO ratio<\/td>Share of purchase orders placed as expedited or emergency<\/td>Adquisiciones<\/td><\/tr>
Planned vs. reactive maintenance ratio<\/td>Share of work orders that are planned versus unplanned<\/td>Maintenance & reliability<\/td><\/tr>
Cost per work order<\/td>Average total cost, parts plus labor, to complete a work order<\/td>Maintenance excellence<\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Benchmarks above are drawn from published maintenance and reliability sources (SMRP Best Practices Metrics and corroborating industry research).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Why these Savings Claims Earn Skepticism<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Start with an uncomfortable admission from the vendor side of the table: a lot of MRO savings claims are inflated, and the industry earned that doubt honestly.<\/p>

The inflation tends to come from four repeatable patterns.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\ud83d\udcca<\/div>\r\n

Gross versus realized<\/h4>\r\n

\r\n A program identifies $10M of excess but disposes of, redeploys, or avoids buying\r\n only a fraction of it, and the deck quotes the full $10M.\r\n <\/p>\r\n <\/div>\r\n\r\n

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\ud83d\udd01<\/div>\r\n

One-time treated as recurring<\/h4>\r\n

\r\n A dead-stock write-off gets booked once but gets presented as if it repeats\r\n every year.\r\n <\/p>\r\n <\/div>\r\n\r\n

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\u26a0\ufe0f<\/div>\r\n

Savings that ignore risk<\/h4>\r\n

\r\n Cutting inventory 20% is fastest when it cuts critical spares, a saving that\r\n costs multiples of itself the day a line waits weeks for a part that was removed.\r\n <\/p>\r\n <\/div>\r\n\r\n

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\u23f3<\/div>\r\n

The prerequisite trap<\/h4>\r\n

\r\n The promised savings sit behind a 12 to 18 month data-cleansing program, and\r\n the initiative dies before a dollar is released.\r\n <\/p>\r\n <\/div>\r\n\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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None of this means the savings are not real. It means the savings are conditional, and the conditions are knowable.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Where the exposure actually comes from<\/h4>\r\n\r\n

\r\n Siemens' True Cost of Downtime 2024<\/em> research sized unplanned downtime at\r\n roughly $1.4 trillion annually<\/strong> across the world's largest companies,\r\n about 11% of revenue<\/strong>, up 62% since 2019.\r\n <\/p>\r\n\r\n

\r\n Verdantis' own modelling, built on that benchmark, estimates the exposure at a\r\n single asset-intensive facility at approximately $56 million per year<\/strong>,\r\n with parts unavailability the largest driver of how long assets stay down,\r\n even though the spare-parts supply chain triggers only about\r\n 12% of failure incidents.<\/strong>\r\n <\/p>\r\n\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\tSee Where Your MRO Savings Actually Hide<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\tGet a facility-level baseline of surplus, obsolescence, and expedite exposure, built from your own data, not an industry average.<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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