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A machine stops, an alarm appears, production is interrupted and the maintenance team is called. Even when the repair itself takes only two hours, the real business impact can be much larger. Production is lost, operators wait, delivery plans may need to change and downstream processes can also be affected. In a factory with 120 employees and several production lines, one unexpected machine failure can influence far more than the maintenance department. The challenge for modern Smart Manufacturing is therefore not simply repairing machines faster, but recognizing the conditions that lead to failures early enough to prevent them.\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Why is reactive maintenance so expensive?\u003C/span>\u003C/strong>\u003C/h2>\n\u003Cp class=\"MsoBodyText\">\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">A machine rarely fails without leaving some kind of trace in the production data.\u003C/span>\u003C/strong>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Before a major failure occurs, equipment behavior often begins to change. Cycle times may gradually increase, short stops can become more frequent, motor temperature may rise, vibration patterns may change or particular alarms may start appearing more often. Individually, these events may not justify stopping production. Together, however, they can indicate that the condition of the machine is deteriorating.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Traditional maintenance processes make these relationships difficult to recognize because the relevant information is often distributed across different systems. The MES system contains production information, the maintenance system stores service history, PLCs record alarms and operating parameters, while operators contribute observations from the production line. Factory Intelligence can analyze these sources together and search for patterns that would be difficult to identify manually.\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">What if maintenance could be planned before the machine stops?\u003C/span>\u003C/strong>\u003C/h2>\n\u003Cp class=\"MsoBodyText\">\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">The real opportunity is to move from reacting to failures toward predicting when intervention creates the greatest value.\u003C/span>\u003C/strong>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Consider an illustrative example. A critical machine normally operates with an average availability above 94%, but Factory Intelligence detects a combination of increasingly frequent short stops, higher operating temperature and a recurring alarm. Historical data shows that similar behavior has previously appeared shortly before a component failure.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Instead of simply displaying another warning on a dashboard, the system can identify the developing risk and recommend preventive maintenance within the next three days. The maintenance team can then plan the intervention during a scheduled production break rather than responding to an unexpected failure during full production.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">The difference can be significant:\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\" style=\"margin-left: 35.45pt; text-indent: -14.15pt; mso-list: l0 level1 lfo1; tab-stops: 35.45pt;\">\u003C!-- [if !supportLists]-->\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol;\">\u003Cspan style=\"mso-list: Ignore;\">·\u003Cspan style=\"font: 7.0pt 'Times New Roman';\">      \u003C/span>\u003C/span>\u003C/span>\u003C!--[endif]-->\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">planned preventive intervention: \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">45 minutes of controlled downtime\u003C/span>\u003C/strong>\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\" style=\"margin-left: 35.45pt; text-indent: -14.15pt; mso-list: l0 level1 lfo1; tab-stops: 35.45pt;\">\u003C!-- [if !supportLists]-->\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol;\">\u003Cspan style=\"mso-list: Ignore;\">·\u003Cspan style=\"font: 7.0pt 'Times New Roman';\">      \u003C/span>\u003C/span>\u003C/span>\u003C!--[endif]-->\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">unexpected failure and repair: \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">6 hours of production downtime\u003C/span>\u003C/strong>\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\" style=\"margin-left: 35.45pt; text-indent: -14.15pt; mso-list: l0 level1 lfo1; tab-stops: 35.45pt;\">\u003C!-- [if !supportLists]-->\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: Symbol; mso-fareast-font-family: Symbol; mso-bidi-font-family: Symbol;\">\u003Cspan style=\"mso-list: Ignore;\">·\u003Cspan style=\"font: 7.0pt 'Times New Roman';\">      \u003C/span>\u003C/span>\u003C/span>\u003C!--[endif]-->\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">estimated avoided production loss: \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">€4,500\u003C/span>\u003C/strong>, depending on the production process and value of lost output\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">These figures are illustrative, but they demonstrate an important principle: maintenance should be evaluated not only by the cost of repair, but by the production loss that can be prevented.\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">How can Factory Intelligence recognize risks before people do?\u003C/span>\u003C/strong>\u003C/h2>\n\u003Cp class=\"MsoBodyText\">\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">AI does not predict failures by guessing—it looks for relationships in historical and real-time production data.\u003C/span>\u003C/strong>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">A single temperature reading usually tells very little. The same applies to one alarm or one short machine stop. The value appears when information is analyzed over time and combined with other production variables.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Factory Intelligence can evaluate information such as machine status, operating hours, alarms, cycle times, maintenance history, quality results and OEE trends. If several indicators begin changing simultaneously, AI agents can identify a pattern and compare it with previous machine behavior.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">This creates an important difference between conventional \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">machine downtime monitoring\u003C/span>\u003C/strong> and intelligent maintenance. Traditional monitoring tells the production team that a machine has stopped. Factory Intelligence aims to identify the conditions that increase the probability of that stop occurring in the future.\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Can predictive maintenance improve OEE and production performance?\u003C/span>\u003C/strong>\u003C/h2>\n\u003Cp class=\"MsoBodyText\">\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Preventing one failure improves more than machine availability—it can influence the performance of the entire production process.\u003C/span>\u003C/strong>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Maintenance directly affects OEE because unexpected downtime reduces availability. However, deteriorating machine condition can also influence performance and quality before a complete failure occurs. Longer cycle times reduce production output, while unstable machine behavior may increase reject rates.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Imagine a production line where unplanned downtime averages \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">18 hours per month\u003C/span>\u003C/strong>. If better preventive maintenance reduces this by only one third, the factory gains approximately \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">72 additional production hours per year\u003C/span>\u003C/strong>. The exact financial benefit depends on the production process, but the connection between maintenance decisions and business performance becomes measurable.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">This is where MES, MOM and Factory Intelligence begin working together. Instead of treating maintenance as an isolated technical activity, the organization can understand its impact on production capacity, OEE, quality and cost.\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">How does predictive maintenance support Lean and Kaizen?\u003C/span>\u003C/strong>\u003C/h2>\n\u003Cp class=\"MsoBodyText\">\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Continuous improvement becomes more effective when maintenance decisions are supported by measurable production data.\u003C/span>\u003C/strong>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Lean Manufacturing aims to eliminate waste, while Kaizen focuses on continuous incremental improvement. Unexpected downtime, repeated repairs and unnecessary replacement of components all represent opportunities for improvement.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Predictive maintenance provides additional information for deciding when an intervention is actually necessary. Instead of replacing components too early according to fixed schedules or too late after they fail, maintenance teams can increasingly base decisions on equipment condition and historical behavior.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">This creates a more efficient maintenance strategy while also providing measurable evidence for continuous improvement initiatives.\u003C/span>\u003C/p>\n\u003Ch2>\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">How is this different from a traditional MES or ERP system?\u003C/span>\u003C/strong>\u003C/h2>\n\u003Cp class=\"MsoBodyText\">\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Factory Intelligence connects operational information with decision support rather than simply storing and reporting data.\u003C/span>\u003C/strong>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">A traditional MES system provides production visibility, \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">machine traceability\u003C/span>\u003C/strong>, OEE software capabilities and information about production events. An ERP system manages higher-level business processes such as orders, materials, purchasing and finance. These systems solve different problems and should complement rather than replace one another.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">TAP Smart Factory is not an ERP solution. It can communicate with ERP platforms such as SAP and Microsoft Dynamics 365 Business Central, as well as machines, PLCs, sensors, industrial cameras, printers and other factory equipment. This creates a connected Smart Factory environment where operational production information can be combined with business context.\u003C/span>\u003C/p>\n\u003Ctable class=\"MsoNormalTable\" style=\"border-collapse: collapse; mso-table-layout-alt: fixed; border: none; mso-border-alt: solid windowtext .5pt; mso-yfti-tbllook: 1184; mso-padding-alt: 1.4pt 1.4pt 1.4pt 1.4pt; mso-border-insideh: .5pt solid windowtext; mso-border-insidev: .5pt solid windowtext;\" border=\"1\" width=\"538\" cellspacing=\"0\" cellpadding=\"0\">\n\u003Cthead>\n\u003Ctr style=\"mso-yfti-irow: 0; mso-yfti-firstrow: yes;\">\n\u003Ctd style=\"width: 184.05pt; border: solid windowtext 1.0pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"245\">\n\u003Cp class=\"TableHeading\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Traditional approach\u003C/span>\u003C/p>\n\u003C/td>\n\u003Ctd style=\"width: 219.7pt; border: solid windowtext 1.0pt; border-left: none; mso-border-left-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"293\">\n\u003Cp class=\"TableHeading\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Factory Intelligence approach\u003C/span>\u003C/p>\n\u003C/td>\n\u003C/tr>\n\u003C/thead>\n\u003Ctbody>\n\u003Ctr style=\"mso-yfti-irow: 1;\">\n\u003Ctd style=\"width: 184.05pt; border: solid windowtext 1.0pt; border-top: none; mso-border-top-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"245\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Detect the machine stop\u003C/span>\u003C/p>\n\u003C/td>\n\u003Ctd style=\"width: 219.7pt; border-top: none; border-left: none; border-bottom: solid windowtext 1.0pt; border-right: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"293\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Detect developing failure patterns\u003C/span>\u003C/p>\n\u003C/td>\n\u003C/tr>\n\u003Ctr style=\"mso-yfti-irow: 2;\">\n\u003Ctd style=\"width: 184.05pt; border: solid windowtext 1.0pt; border-top: none; mso-border-top-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"245\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Repair after failure\u003C/span>\u003C/p>\n\u003C/td>\n\u003Ctd style=\"width: 219.7pt; border-top: none; border-left: none; border-bottom: solid windowtext 1.0pt; border-right: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"293\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Recommend preventive intervention\u003C/span>\u003C/p>\n\u003C/td>\n\u003C/tr>\n\u003Ctr style=\"mso-yfti-irow: 3;\">\n\u003Ctd style=\"width: 184.05pt; border: solid windowtext 1.0pt; border-top: none; mso-border-top-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"245\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Review downtime later\u003C/span>\u003C/p>\n\u003C/td>\n\u003Ctd style=\"width: 219.7pt; border-top: none; border-left: none; border-bottom: solid windowtext 1.0pt; border-right: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"293\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Analyze risk continuously\u003C/span>\u003C/p>\n\u003C/td>\n\u003C/tr>\n\u003Ctr style=\"mso-yfti-irow: 4;\">\n\u003Ctd style=\"width: 184.05pt; border: solid windowtext 1.0pt; border-top: none; mso-border-top-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"245\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Maintenance as a cost\u003C/span>\u003C/p>\n\u003C/td>\n\u003Ctd style=\"width: 219.7pt; border-top: none; border-left: none; border-bottom: solid windowtext 1.0pt; border-right: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"293\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Maintenance linked to production impact\u003C/span>\u003C/p>\n\u003C/td>\n\u003C/tr>\n\u003Ctr style=\"mso-yfti-irow: 5; mso-yfti-lastrow: yes;\">\n\u003Ctd style=\"width: 184.05pt; border: solid windowtext 1.0pt; border-top: none; mso-border-top-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"245\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Report OEE\u003C/span>\u003C/p>\n\u003C/td>\n\u003Ctd style=\"width: 219.7pt; border-top: none; border-left: none; border-bottom: solid windowtext 1.0pt; border-right: solid windowtext 1.0pt; mso-border-top-alt: solid windowtext .5pt; mso-border-left-alt: solid windowtext .5pt; mso-border-alt: solid windowtext .5pt; padding: 1.4pt 1.4pt 1.4pt 1.4pt;\" width=\"293\">\n\u003Cp class=\"TableContents\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">Explain factors that may affect OEE\u003C/span>\u003C/p>\n\u003C/td>\n\u003C/tr>\n\u003C/tbody>\n\u003C/table>\n\u003Ch2>\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">How does TAP Smart Factory turn maintenance data into business value?\u003C/span>\u003C/strong>\u003C/h2>\n\u003Cp class=\"MsoBodyText\">\u003Cstrong>\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">TAP Smart Factory is a modular MES system for real-time production monitoring developed by T3Soft.\u003C/span>\u003C/strong>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">The Factory Intelligence module extends traditional Smart Manufacturing capabilities by analyzing production, machine and maintenance data and transforming it into information that can support future decisions. Instead of only telling teams what has already happened, AI agents can identify developing risks, recommend preventive actions and estimate how those actions may influence future downtime and production performance.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">The next step is even more important. If the system can estimate that performing maintenance within three days may prevent a six-hour production stop next week, it can also calculate the accumulated business effect of making similar decisions throughout the year.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">That changes the maintenance conversation.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">The question is no longer only: \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">\"How much will this repair cost?\"\u003C/span>\u003C/strong>\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">The better question becomes: \u003Cstrong>\u003Cspan style=\"font-family: 'Calibri',sans-serif;\">\"How much production loss can we prevent by acting before the failure occurs?\"\u003C/span>\u003C/strong>\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">The best maintenance strategy is therefore not necessarily the one that repairs machines fastest.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoBodyText\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\">It is the one that prevents unnecessary failures from happening in the first place.\u003C/span>\u003C/p>\n\u003Cp class=\"MsoNormal\">\u003Cspan lang=\"SR-LATN-RS\" style=\"font-family: 'Calibri',sans-serif;\"> \u003C/span>\u003C/p>",[478],{"slug":-1,"image":479,"gallery":481,"icon":-1,"featured":144,"title":261,"subtitle":148,"description":148,"content":148,"category":29,"group":29,"date_updated":-1},{"id":480},"54f268e6-84b0-4200-9e63-c50cc1f9ec33",[],1787562776312]