{"id":1074,"date":"2021-04-05T19:36:56","date_gmt":"2021-04-05T23:36:56","guid":{"rendered":"https:\/\/aliidesign-dev.com\/sigga\/downtime-operations-metrics\/"},"modified":"2021-04-05T19:36:56","modified_gmt":"2021-04-05T23:36:56","slug":"downtime-operations-metrics","status":"publish","type":"post","link":"https:\/\/www.sigga.com\/pt-br\/downtime-operations-metrics\/","title":{"rendered":"Principais m\u00e9tricas de tempo de inatividade para gerenciamento de opera\u00e7\u00f5es"},"content":{"rendered":"<p><!--more-->Minimizar o tempo de inatividade \u00e9 uma das fun\u00e7\u00f5es mais importantes \u2014 se n\u00e3o a mais cr\u00edtica \u2014 para equipes e t\u00e9cnicos de manuten\u00e7\u00e3o. Mas medir o qu\u00e3o eficaz voc\u00ea \u00e9 em minimizar o tempo de inatividade vai al\u00e9m de simplesmente o tempo que leva desde a avaria at\u00e9 o reparo. Compreender as principais m\u00e9tricas de tempo de inatividade \u00e9 essencial para criar opera\u00e7\u00f5es de manuten\u00e7\u00e3o eficazes e sustent\u00e1veis.<\/p>\n<p>\u00c9 importante entender a distin\u00e7\u00e3o entre a minimiza\u00e7\u00e3o do tempo de inatividade como um indicador chave de desempenho (KPI) em toda a empresa e as m\u00e9tricas espec\u00edficas que alimentam a obten\u00e7\u00e3o desse objetivo abrangente. Diferentes m\u00e9tricas medem v\u00e1rios aspectos do processo de reparo e manuten\u00e7\u00e3o, desde a efic\u00e1cia geral do tempo de atividade de uma m\u00e1quina at\u00e9 quanto tempo os reparos realmente levam.<\/p>\n<p>Aqui, definiremos as m\u00e9tricas espec\u00edficas de tempo de inatividade que toda equipe de gerenciamento de instala\u00e7\u00f5es precisa melhorar. Tamb\u00e9m abordaremos refer\u00eancias do setor para essas m\u00e9tricas e estrat\u00e9gias para melhor\u00e1-las. Por fim, voc\u00ea aprender\u00e1 sobre ferramentas de tecnologia espec\u00edficas que podem ajud\u00e1-lo a reduzir o tempo de inatividade e melhorar essas m\u00e9tricas regularmente.<\/p>\n<h3 aria-level=\"2\"><span style=\"font-weight: bold color: #000000 font-size: 24px;\">M\u00e9tricas de tempo de inatividade mais importantes<\/span><\/h3>\n<p>Primeiro, vamos nos aprofundar nas m\u00e9tricas espec\u00edficas de tempo de inatividade que voc\u00ea precisa conhecer, como s\u00e3o medidas e como contribuem para o seu sucesso geral. Essas m\u00e9tricas est\u00e3o intimamente relacionadas com <a style=\"text-decoration: none;\" href=\"\/pt-br\/blog\/improving-maintenance-effectiveness\/\" target=\"_blank\" rel=\"noopener\">Efic\u00e1cia da Manuten\u00e7\u00e3o <\/a>m\u00e9tricas, mas com um foco maior na confiabilidade dos ativos e na efici\u00eancia do processo de reparo.<\/p>\n<p>A m\u00e9trica de tempo de inatividade mais conhecida \u00e9 o tempo m\u00e9dio de reparo (MTTR). A m\u00e9trica MTTR reflete o tempo m\u00e9dio necess\u00e1rio para solucionar problemas e reparar um equipamento com falha. O c\u00e1lculo do MTTR normalmente inclui o tempo desde que um t\u00e9cnico \u00e9 notificado pela primeira vez sobre um problema at\u00e9 o momento em que a m\u00e1quina \u00e9 reativada para opera\u00e7\u00e3o e\/ou produ\u00e7\u00e3o. O MTTR mede efetivamente a efic\u00e1cia de suas opera\u00e7\u00f5es de manuten\u00e7\u00e3o e a capacidade de uma m\u00e1quina de ser reparada ou mantida.<\/p>\n<p>Por exemplo, o t\u00e9cnico pode ser conhecedor, habilidoso e eficiente quando destacado para um trabalho. Por\u00e9m, se certas linhas de equipamento estiverem desatualizadas ou excessivamente complexas, pode ser o ativo que reduz o MTTR e, portanto, aumenta o tempo de inatividade geral. O c\u00e1lculo b\u00e1sico para MTTR \u00e9 o seguinte:<\/p>\n<p style=\"text-align: center;\"><span data-mathml=\"&lt;math xmlns=&amp;quothttp:\/\/www.w3.org\/1998\/Math\/MathML&quot; display=&amp;quotblock&quot;&gt;&lt;mi&gt;&amp;#x1D474&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D47B&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D47B&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D479&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo&gt;=&lt;\/mo&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;&amp;#x1D47B&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D490&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D495&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D482&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48D&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;&amp;#x1D474&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D482&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48A&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48F&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D495&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D486&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48F&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D482&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48F&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D484&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D486&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;&amp;#x1D47B&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48A&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48E&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D486&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;&amp;#xF7&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D475&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D496&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48E&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D483&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D486&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D493&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;&amp;#x1D490&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D487&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;&amp;#x1D479&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D486&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D491&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D482&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D48A&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D493&lt;\/mi&gt;&lt;mi&gt;&amp;#x1D494&lt;\/mi&gt;&lt;\/math&gt;&lt;p&gt;\"> = \u00f7 <\/span><\/p>\n<p>A pr\u00f3xima m\u00e9trica que tem um grande impacto no tempo de inatividade \u00e9 a efic\u00e1cia geral do equipamento (OEE). Essa m\u00e9trica se concentra apenas na funcionalidade e confiabilidade geral do equipamento e, portanto, em seu impacto no tempo de inatividade. O c\u00e1lculo do OEE considera a disponibilidade, o desempenho e a qualidade da m\u00e1quina. A disponibilidade \u00e9 definida como a porcentagem de tempo em que um ativo funciona quando necess\u00e1rio. O desempenho \u00e9 quanto tempo o ativo est\u00e1 operando em velocidade m\u00e1xima e a qualidade \u00e9 a porcentagem de tempo que a m\u00e1quina est\u00e1 produzindo sem defeitos. Em um mundo perfeito, seu OEE seria 100% e \u00e9 calculado da seguinte forma:<\/p>\n<p style=\"text-align: center;\"><em><span data-mathml=\"&lt;math xmlns=&amp;quothttp:\/\/www.w3.org\/1998\/Math\/MathML&quot; display=&amp;quotblock&quot;&gt;&lt;mi&gt;O&lt;\/mi&gt;&lt;mi&gt;E&lt;\/mi&gt;&lt;mi&gt;E&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo&gt;=&lt;\/mo&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;A&lt;\/mi&gt;&lt;mi&gt;v&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;l&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;b&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;l&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;t&lt;\/mi&gt;&lt;mi&gt;y&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo&gt;&amp;#xD7&lt;\/mo&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;P&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mi&gt;r&lt;\/mi&gt;&lt;mi&gt;f&lt;\/mi&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;r&lt;\/mi&gt;&lt;mi&gt;m&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;n&lt;\/mi&gt;&lt;mi&gt;c&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo&gt;&amp;#xD7&lt;\/mo&gt;&lt;mi&gt;Q&lt;\/mi&gt;&lt;mi&gt;u&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;l&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;t&lt;\/mi&gt;&lt;mi&gt;y&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;\/math&gt;&lt;p&gt;\">OEE = Disponibilidade \u00d7 Desempenho \u00d7 Qualidade<\/span><\/em><\/p>\n<p>Outra m\u00e9trica importante \u00e9 o tempo m\u00e9dio entre falhas ou MTBF. Medido em horas, o MTBF reflete o tempo m\u00e9dio que um ativo est\u00e1 funcionando corretamente entre eventos de quebra ou falha. Quanto maior o MTBF, normalmente menor o tempo de inatividade. Voc\u00ea pode calcular o MTBF usando esta equa\u00e7\u00e3o:<\/p>\n<p style=\"text-align: center;\"><em><span data-mathml=\"&lt;math xmlns=&amp;quothttp:\/\/www.w3.org\/1998\/Math\/MathML&quot; display=&amp;quotblock&quot;&gt;&lt;mi&gt;M&lt;\/mi&gt;&lt;mi&gt;T&lt;\/mi&gt;&lt;mi&gt;B&lt;\/mi&gt;&lt;mi&gt;F&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo&gt;=&lt;\/mo&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo fence=&amp;quotfalse&quot;&gt;(&lt;\/mo&gt;&lt;mi&gt;U&lt;\/mi&gt;&lt;mi&gt;p&lt;\/mi&gt;&lt;mi&gt;t&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;m&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;H&lt;\/mi&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;u&lt;\/mi&gt;&lt;mi&gt;r&lt;\/mi&gt;&lt;mi&gt;s&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;P&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mi&gt;r&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;D&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;y&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo&gt;&amp;#xD7&lt;\/mo&gt;&lt;mi&gt;T&lt;\/mi&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;t&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;l&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;D&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;y&lt;\/mi&gt;&lt;mi&gt;s&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;f&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;O&lt;\/mi&gt;&lt;mi&gt;p&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mi&gt;r&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;t&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;n&lt;\/mi&gt;&lt;mo fence=&amp;quotfalse&quot;&gt;)&lt;\/mo&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;&amp;#xF7&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo fence=&amp;quotfalse&quot;&gt;(&lt;\/mo&gt;&lt;mi&gt;N&lt;\/mi&gt;&lt;mi&gt;u&lt;\/mi&gt;&lt;mi&gt;m&lt;\/mi&gt;&lt;mi&gt;b&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mi&gt;r&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;f&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;B&lt;\/mi&gt;&lt;mi&gt;r&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;k&lt;\/mi&gt;&lt;mi&gt;d&lt;\/mi&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;w&lt;\/mi&gt;&lt;mi&gt;n&lt;\/mi&gt;&lt;mi&gt;s&lt;\/mi&gt;&lt;mo fence=&amp;quotfalse&quot;&gt;)&lt;\/mo&gt;&lt;\/math&gt;&lt;p&gt;\">MTBF=(UptimeHoursPerDay\u00d7 TotalDaysofOperation)\u00f7(NumberofBreakdowns)<\/span><\/em><\/p>\n<p>No entanto, quando se trata de obter uma imagem mais clara do tempo de inatividade e de como ele est\u00e1 afetando seus neg\u00f3cios, o tempo perdido \u00e9 a m\u00e9trica mais eficaz. Lost Time fornece um \u00fanico n\u00famero mostrando, bem, quanto tempo de produtividade voc\u00ea est\u00e1 perdendo em um equipamento durante um per\u00edodo de tempo espec\u00edfico.<\/p>\n<p style=\"text-align: center;\"><em><span data-mathml=\"&lt;math xmlns=&amp;quothttp:\/\/www.w3.org\/1998\/Math\/MathML&quot; display=&amp;quotblock&quot;&gt;&lt;mi&gt;L&lt;\/mi&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;s&lt;\/mi&gt;&lt;mi&gt;t&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;T&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;m&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo&gt;=&lt;\/mo&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo fence=&amp;quotfalse&quot;&gt;(&lt;\/mo&gt;&lt;mi&gt;T&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;m&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;A&lt;\/mi&gt;&lt;mi&gt;s&lt;\/mi&gt;&lt;mi&gt;s&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mi&gt;t&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;s&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;d&lt;\/mi&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;w&lt;\/mi&gt;&lt;mi&gt;n&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;&amp;#xF7&lt;\/mi&gt;&lt;mi&gt;T&lt;\/mi&gt;&lt;mi&gt;o&lt;\/mi&gt;&lt;mi&gt;t&lt;\/mi&gt;&lt;mi&gt;a&lt;\/mi&gt;&lt;mi&gt;l&lt;\/mi&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mi&gt;T&lt;\/mi&gt;&lt;mi&gt;i&lt;\/mi&gt;&lt;mi&gt;m&lt;\/mi&gt;&lt;mi&gt;e&lt;\/mi&gt;&lt;mo fence=&amp;quotfalse&quot;&gt;)&lt;\/mo&gt;&lt;mo&gt;&amp;#xA0&lt;\/mo&gt;&lt;mo&gt;&amp;#xD7&lt;\/mo&gt;&lt;mn&gt;100&lt;\/mn&gt;&lt;\/math&gt;&lt;p&gt;\">Tempo Perdido = (Tempo Ativo est\u00e1 inativo \u00f7 Tempo Total) \u00d7100<\/span><\/em><\/p>\n<p>Portanto, se sua m\u00e1quina estiver inativa 5 horas em uma semana de trabalho de 40 horas, 12,5% do tempo de produtividade potencial desse equipamento ser\u00e1 refletido como Tempo Perdido.<\/p>\n<p>Mas o que \u00e9 importante lembrar \u00e9 que medimos a confiabilidade do ativo porque isso afeta diretamente o custo. O tempo perdido tamb\u00e9m pode ser interpretado como perda de receita, seja pagando por pe\u00e7as de reposi\u00e7\u00e3o ou n\u00e3o fabricando produtos suficientes. A boa not\u00edcia \u00e9 que voc\u00ea pode realmente fazer algo sobre isso.<\/p>\n<h3 aria-level=\"2\"><span style=\"font-weight: bold color: #000000 font-size: 24px;\">Benchmarks e Melhorias da Ind\u00fastria<\/span><\/h3>\n<p>Quando se trata de benchmarks, as melhores organiza\u00e7\u00f5es da categoria t\u00eam em m\u00e9dia <a href=\"https:\/\/sageclarity.com\/articles-oee-benchmark-study\/\" target=\"_blank\" rel=\"noopener\">OEE de aproximadamente 82%<\/a>. As principais empresas t\u00eam em m\u00e9dia um OEE de mais de 96%, enquanto as empresas de desempenho inferior t\u00eam um OEE de 31% ou menos. A maioria das organiza\u00e7\u00f5es deve <a href=\"https:\/\/www.leanproduction.com\/oee.html\">visar um OEE de 86 por cento<\/a> ou melhor.<\/p>\n<p>Atingir essas metas de OEE \u2014 e melhorar outras m\u00e9tricas como MTTR \u2014 requer uma combina\u00e7\u00e3o de tecnologia e estrat\u00e9gias de neg\u00f3cios. Resolver problemas de confiabilidade e desempenho de ativos com os pr\u00f3prios ativos certamente faz parte da solu\u00e7\u00e3o. Use m\u00e1quinas que quebram com menos frequ\u00eancia e s\u00e3o mais f\u00e1ceis de consertar. Al\u00e9m disso, compartilhe seus dados com os fabricantes de equipamentos para melhorias das quais voc\u00ea pode se beneficiar ao atualizar.<\/p>\n<p>A partir de uma abordagem de estrat\u00e9gia de neg\u00f3cios, mover suas opera\u00e7\u00f5es de manuten\u00e7\u00e3o de uma postura reativa para um modelo preventivo ou preditivo planejado tamb\u00e9m pode reduzir o tempo perdido e melhorar o OEE.<\/p>\n<p>\u201cUm programa robusto de manuten\u00e7\u00e3o preditiva pode direcionar e focar os reparos no ponto de falha adequado,\u201d <a href=\"https:\/\/www.machinemetrics.com\/blog\/how-does-predictive-maintenance-work\">escreve Graham Immerman <\/a>de MachineMetrics. \u201cApresentando uma resposta mais r\u00e1pida \u00e0 falha do equipamento, as faixas de queda do equipamento podem ser reduzidas, economizando dinheiro para toda a opera\u00e7\u00e3o por meio de maior efici\u00eancia e produ\u00e7\u00e3o de mais produtos de primeira qualidade.\u201d<\/p>\n<p>Ao implementar sensores e dispositivos inteligentes da Internet das Coisas (IoT), voc\u00ea pode coletar dados em tempo real de equipamentos para an\u00e1lise e planejamento de manuten\u00e7\u00e3o de forma preditiva. Voc\u00ea pode ent\u00e3o integrar essa tecnologia com as solu\u00e7\u00f5es Sigga para ajudar com coisas como planejamento e programa\u00e7\u00e3o para reduzir o tempo de inatividade.<\/p>\n<h3 aria-level=\"2\"><span style=\"font-weight: bold color: #000000 font-size: 24px;\">Como a Sigga reduz o tempo de inatividade<\/span><\/h3>\n<p>As solu\u00e7\u00f5es EAM da Sigga podem ser fundamentais para ajudar voc\u00ea a reduzir o tempo de inatividade por meio do aumento da confiabilidade dos ativos com manuten\u00e7\u00e3o preventiva e aumento da capacidade de resposta da equipe a eventos repentinos de inatividade.<\/p>\n<p>A solu\u00e7\u00e3o de planejamento e programa\u00e7\u00e3o da Sigga pode ajud\u00e1-lo a passar da manuten\u00e7\u00e3o reativa para a planejada por meio do uso mais eficiente dos t\u00e9cnicos. Quanto mais trabalho planejado e preventivo for realizado, menos avarias ocorrer\u00e3o, levando a um OEE mais alto.<\/p>\n<p>Os t\u00e9cnicos podem concluir seu trabalho mais rapidamente e melhorar o MTTR usando <span style=\"font-weight: bold color:;\">A solu\u00e7\u00e3o Mobile Enterprise Asset Management (EAM) da Sigga<\/span>, dando aos t\u00e9cnicos a capacidade de relatar um problema imediatamente para que a organiza\u00e7\u00e3o reaja mais rapidamente. Eles tamb\u00e9m podem registrar suas horas e o tempo exato gasto em trabalhos para que seus c\u00e1lculos de m\u00e9tricas sejam ainda mais precisos.<\/p>\n<p>Reduzir o tempo de inatividade \u00e9 economizar dinheiro, manter a qualidade e usar os t\u00e9cnicos de maneira inteligente e eficiente. Ao entender as principais m\u00e9tricas, como MTTR, OEE e tempo perdido, voc\u00ea poder\u00e1 entender exatamente onde est\u00e1 e at\u00e9 onde precisa ir para atingir os padr\u00f5es do setor. Depois de ter uma vis\u00e3o clara de onde voc\u00ea precisa ir, voc\u00ea pode come\u00e7ar a empregar as tecnologias certas para permitir uma abordagem planejada que o manter\u00e1 funcionando por mais tempo do que nunca.<\/p>\n<p style=\"text-align: center;\">\n<p style=\"text-align: center font-weight: bold;\"><em>Veja como <a style=\"text-decoration: none;\" href=\"https:\/\/www.sigga.com\/pt-br\/products\/products-eam-empower\/\" target=\"_blank\" rel=\"noopener\">Solu\u00e7\u00f5es Sigga<\/a> pode ajud\u00e1-lo a reduzir o tempo de inatividade.<\/em><\/p>\n<p style=\"text-align: center font-weight: bold;\">","protected":false},"excerpt":{"rendered":"","protected":false},"author":4,"featured_media":1075,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[58,75,59,61,63],"class_list":["post-1074","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-automation","tag-blog","tag-metrics","tag-mobile-maintenance","tag-planning-scheduling"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Key Downtime Metrics for Operations Management<\/title>\n<meta name=\"description\" content=\"No time for downtime! 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