{"id":9642,"date":"2025-04-26T02:06:16","date_gmt":"2025-04-26T02:06:16","guid":{"rendered":"https:\/\/omoshirogorufu.com\/?p=9642"},"modified":"2025-10-22T01:17:09","modified_gmt":"2025-10-22T01:17:09","slug":"understanding-variable-overhead-effectivity-2","status":"publish","type":"post","link":"https:\/\/omoshirogorufu.com\/ja\/understanding-variable-overhead-effectivity-2\/","title":{"rendered":"Understanding Variable Overhead Effectivity Variance: Calculation, Instance And Influence On Manufacturing Operations"},"content":{"rendered":"<p>It can end result in elevated fastened expenses, decreased net earnings, reduced operating margins, or even negatively affect <a href=\"https:\/\/www.adprun.net\/how-to-calculate-variable-overhead-efficiency\/\">variable overhead efficiency variance calculator<\/a> shareholder value if not addressed promptly. Conversely, a positive VOEV will result in lower prices, greater profitability, and higher monetary performance overall. Variable overhead effectivity variance is the distinction between actual hours worked at commonplace price and commonplace hours allowed at normal fee.<\/p>\n<h2>Industry Requirements \u2013 When Should A Company Consider Investing In New Equipment<\/h2>\n<p>IoT refers to using related gadgets to assemble and analyze knowledge about numerous features of a manufacturing process. Due To This Fact, firms should monitor and manage effectivity variance to optimize operations and remain competitive. By examining this variance, the bakery can investigate why it took longer to provide the loaves and take corrective actions. Perhaps the ovens were not preheated adequately, or maybe there were delays in the mixing and shaping of the dough. The aim can be to establish inefficiencies and make enhancements to convey future variable overhead costs according to the requirements. Calculating variable overhead variances involves two distinct elements, every providing unique insights into cost management and useful resource utilization.<\/p>\n<p>As production is accomplished and finished goods are transferred to finished goods stock, the unfavorable or favorable variance influences the timing of cash inflows. Correct management of variable overhead efficiency variance can lead to improved liquidity, reduced working capital necessities, and finally, enhanced profitability. Earlier Than we will absolutely respect the importance of Variable Overhead Effectivity Variance, it is essential to understand its parts. Variable overhead costs are these bills that change in proportion to the extent of manufacturing activity. These can embrace indirect supplies, indirect labor, provides, and the facility used in the manufacturing course of. Effectivity variance, however, measures the difference between the anticipated (or standard) amount of variable overheads and the precise amount used during production.<\/p>\n<h2>Defining Variable Overhead Effectivity Variance: The Distinction Between Precise And Budgeted Labor Hours<\/h2>\n<p>By showing the total variable overhead cost variance as the sum of the 2 parts, management can higher analyze the 2 variances and enhance decision-making. Recall from Determine 10.1 that the variable overhead standard ratefor Jerry\u2019s is $5 per direct labor hour and the usual directlabor hours is 0.10 per unit. Determine 10.8 shows tips on how to calculatethe variable overhead spending and efficiency variances given theactual results and requirements info.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"403px\" alt=\"variable overhead efficiency variance calculator\" 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\"\/><\/p>\n<p>This formula takes the difference between the usual variable overhead price and the actual variable overhead price, and multiplies this by the precise quantity of items of variable overhead used. Determine 10.61&nbsp;reveals the connection between the variable overhead price variance and variable overhead effectivity <a href=\"https:\/\/www.adprun.net\/\">https:\/\/www.adprun.net\/<\/a> variance to complete variable overhead cost variance. If a company\u2019s effectivity variance ends in larger prices than anticipated, it might need to take motion to address the problem. This may contain renegotiating provider contracts to reduce material costs, streamlining manufacturing processes to reduce labor costs, or figuring out ways to scale back overhead prices.<\/p>\n<ul>\n<li>Workers must be skilled on the latest processes, applied sciences, and greatest practices for enhancing effectivity.<\/li>\n<li>By addressing this concern and investing in new gear, the company was in a position to improve their effectivity variance, resulting in significant price financial savings over time.<\/li>\n<li>They are also answerable for monitoring effectivity variance and analyzing the data to identify areas for enchancment.<\/li>\n<li>Poor communication between departments or people can result in delays, errors, and reduced efficiency.<\/li>\n<\/ul>\n<p>Before we go on to explore the variances associated to fastened oblique costs (fixed manufacturing overhead), check your understanding of the variable overhead efficiency variance. Whereas if the actual hours worked are higher than the budgeted hours estimated by administration, we referred to as it unfavorable variance. The expenditure incurred as overheads was 49,200 in path of variable overheads and 86,one hundred in the course of fixed overheads.<\/p>\n<p>By comparing precise prices to predetermined requirements, corporations can decide if their variable overhead usage is consistent with expectations. This figure includes oblique labor prices corresponding to shop foreman, security, and different factory-related bills. In the formula for calculating variable overhead effectivity variance, multiplying the distinction between precise and budgeted labor hours by this hourly rate determines the magnitude of the variance. The two variances used to analyze this difference are thespending variance and effectivity variance.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"402px\" alt=\"variable overhead efficiency variance calculator\" 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4jA4BdzmsRKft4ciwisqUHAChTiUhQ9\/LoUERCegCALgsRkbyfZ29FJNrRBwA0aSKfxBpjPgBonOf3uMIBAH3oe1erv\/08AOhD\/2e4KDUBQJP2xkLV79+BUhMAFLHifm4vN5MBoA92ZKM5pZSaAKCDLbkXKTUBQInMlkzjcxFJKTUBwHcWBbuMUhMA\/GfT1J5SEwD8Z9dGFqUmAHjPsmNblJoA4DnbLinYcHEDALpj35VcSk0A8JmNCWgoNQHAY1amW6TUBABv2ZlcvN+E6wCgL75RagKAp6ydzVNqAoCX7N27otQEAB\/ZfFKLUhMA\/GP3vQRKTQDwjuW3cCk1AcAztuecodQEAL\/Yn2GRUhMAvOJAPnFKTQDwiBMhjVITALzhxgSeUhMAfOHKdhWlJgB4wpnDWZSaAOAFd64iUGoCgA9cunhLqQkA7nMrzQylJgA4z7GkipSaAOA411KIU2oCgNvci2KUmgDgNAfn7JSaAOAwF3eoKDUBwF1unsei1AQAV7l6+4BSEwAc5exdW0pNAHCSu5llKDUBwEUu51Gk1AQABzmdNZxSEwAIXPxoAIDH03RKTQBwi\/ubUpSaAOAUD45gUWoCgEN8uHBAqQkA7vDjei2lJgC4wpdkMpSaAOAIb1InUmoCgBP8SRROqQkAxCp+QQDA55k5pSYAWM+vfShKTQCwnW+nrig1AcBu\/t0xoNQEAKt5eKOWUhMALOZj\/hhKTQCwl5\/ZEik1AcBanuYGp9QEAMITPycA4PFknFITAGzk89YTpSYAWMjrg1aUmgBgHb+vFVBqAoBtfL9ES6kJAHbxP2UMpSYAWEVBgkRKTQCwiIZ04JSaAEBE4rcFgFJK5t+ViEhNdwPonZbdphf7hmRrANCtYbi6\/xd6zlY9OyVXlzPGBIBO7X7F2Fr03CR4vBOSByTJAdCxtYjsb+7JliIiWu7NJiIiN3+ONX14AP0Yi4hI8fX9Z11ZYk5ym+9nGwqnGwB0rQ2zP3kQteVEvM1uubg2BbkaAHQ+zW4k7Q6+\/Jp1e28uItJ89HP13RIFowJAd87yRzq5Rl1dJ6iuPzTD9U9LUM8dQHcOcmOusbrjZVlldNsOFJ4A0J1KHmhrgsFDC5AhB0B3AvVR97rMcIeLagC6svwdcKKw5o2f\/OcAOhM\/vukFyo6tbrLHNpgyMgB05EnIEdlpaoHBsxaIjgwNAJ04yVO\/k+P4qy6ft8AXYwNAJ2bygpLFzTx48fnnjA0AnZi+Crt3yXG8Fb\/8+FxUA9CJs7xWeD\/Pvia+eW7F6ADQxRxb3vH8rtZC84cH0JPqbeTx+0TD4O1Hj7ioBqALxbvIU3h+fncTvg28NcMDwOcDz7uws\/c\/7sTvPv+E8QHg40ZvJtkqTpB9rV+3QMn4APBxr2fZiZJcMOfXq9sp4wPAp51ehpyBnkaYpK8aYcgIAfBhr05QhaqKK5ymGs9xAOjFi3QEsbZ2eHFDes0IAfBh0dNgozAJzIvramOGCICP+noWaqqzyraIla9wAzBi\/mT3Xu1h1eGTo2QJYwTARz0GmqniEmLHORfVAHRr+xBlZrob5PCQe\/fAKAHwQb9TwYRb7S3yUGmiYpQA+KBE+bGxZ36dZA5oEQAffLW7PzbGlazW+P7HaEmLAPiYyV3lMArlfhsxBQDQjf3NXJqtoxvLmxr2Gc0B4GN+MsCUNa1xZ\/cTd0+0BoAPGepKrPvv5AVn6gB09UaXkHjgifp7CWZKWwD4kIz6uG8trnmCzjQFgI8YX3aMOCD10jUNb05LALY7npaT0XyapeKzItzHs3xV2xUoN4fBbhoGopiVHQN0+sWfJbq+5cHOkkIUx0MpsLBjgG5j7iBR+X4V975ScZ6UEZHWwo4BOlX\/es8NstBmaynC\/6K4W0NZ7\/qsSHHY3\/1lgvVHGyoqQpfY1DFAt2Z\/ctcmu8Ei34wtN\/36r\/+H1fAwG83\/nG\/dr3pq+fzPz122Gy3y5fbDLbUqx26xpWOAjr\/636W4sngz1uWw\/97Bivu40LX5Pl9bVHlXH3HoZMfkVdFnxwAdf\/Wvmznr6jBWaDu7FjwvBqbz6Zyudz6CcjbGg0UZ9NQxgJmvfqj4mz+sLjtaodGUOsfBNaqom2L8tU1c9NAxQNf7Odev\/kj39zufGs+qs7res6uWhNfXlhXpjuCb2aXe7pz3rUVotjLQ8PJ7l0wIre9NEko2wSuXlNhlzpf7\/0btaY7AzJGlw2U5fUCz\/7OByY4BOtaW+M4WfLGvK4mXkucmEkleap7NVzT6X50pM9cxQMdbOu20OmFp8UdsKKvZ9Tk0uG0dg\/+xd67rqfJMGL5AStnKnoACq997\/gf5CURJCETAYNU+z6+1KlXMNDeTycwE2lc\/XT1QjSnNrWe7lIZg56HvopU+orovZxgI2lc5HK7JlAZ9\/+bgen\/UMQb71QwDQfuq71eLsK6obv+m3nHou1WGgYF+OcNA0L76r6PuCXN5Ql0IQNtt6Lt03RLD\/HKGgaCd1RX\/YB99WsGepzJ0dRkBBvnlDANBO6vLYUC27pw6NO7T7DXoj92ENqnczzAQtLO6tlcOZrE8jLjHkcRat5uGAd4qYy\/DQNDO6pIgPczheeVtulL4o3zku9o0HeP72ANxB8NA0M6KsJN+Vx0fXdWHnedtEsMXgjsP6ODvYRgI2lldwm5KMIOl0nbIzv\/XJTGgDcNDspFGBr1pYNdvMH\/vqGs4eFAf2EVI\/UF17ZvQFgd6K2XtXy0OM7gvV3VR1P90pI6pUJsM4mIiQ+8kF9tpK1aztsKRb4\/xSJEr\/bCSdlvtiJkMvdd+mo9NnaVhhlDdKV45ArsK4+46zrWE3kY\/KRa6izfNdaW1qBXqJFTGf9CMDHobmVjoLpej0qvqYuro9agu\/nPAbIbeQ98+Fror1NZEnRXG1NHcWGH8B7tq0JsowEJ3jSJ1paht\/UWBgzwUKW5bOeEQd+gt9K\/7a8WsXaxSWXS3Rsqu6vhPhQkNvYMyOLvr3V1Dxcj\/51uWnmNAVakts\/ZRIgy9g2pEdleqTfzIFT3wKgynOnmKk6ohaCf9tDm7SGNYo0BRqlKNNAa1alNySkxp6PVlw+Vaq9ZLLRQE1b\/QZVetksuIfv3DnIZeXi5crtUKlfRdael9xmCqlItcBugd9L\/Wc8N8Xb+YfXzLvMJ5oaqlIcoAvYNM1AVvWMy2qbsPD33b3QFjqVREiWEgaGcFSNrdoLZS7UfBOgMxhhc0DATtrRIr3Q3yFBSqtc3HTAzl6xkGgp6xo4b0sbWqFRwR3lYGRxjK1zMMBO2t1LJ8zNa1chTsmLfbP+hx\/IKGgaC9pSORYeOO+aNHGbTnSqANzgsaBoJ21j8c075FbY2J+eDQt2FIgqF8PcNA0M76QR+cLcoUlAcblqVjJF\/QMBC0s8jK0uCDrTl1WZ\/NKPvLnlqu4ABhfVVpcNIczaCqAudoo2fZvoaBoJ0Vr6mWOJ3b3ltX6WWkLgUiqi6iNcoXulT1w1HPvH3HYK9ng4KDDFaEd5LIYwbeMpxfSvlTY5mmtYz2uoaBoNfB7sGwrC+Lk2+qwtrZGijUHhL5ePfvQ3eH2Sdg1\/StsdxfAa8ay2jdnw6wCwG790RMa0ppow67Xwx2v+jkJslFS9neXpt8HHbbx92EgqdkW3NDutky\/LXALgTsLsJuMj33lXVIn\/N2u6N19WTxlBtA+ynYjeYGPn1GjNfl\/NutluGvBXYhYHcRdt0hsGB4dekWw\/Q\/7untdhN2aXordzsfgt2G4axb1R7z+AvzJ2G3mvJ211iGvxbYhYDdJditr1O9buha8WAWKrkr9Xb\/MHZP17BuqNFBSOzyxt3kF7BrAbsQ9AzsXuO6FTvLEufq\/8Zqvd2TfVH8KHa\/s\/ZtkvfGbqL3Q1xwj7bs6vIGT8buYaNl+GtJY9t2A+xCwK5MsT8dxm3ozz213u78hF2F3V31JOwG1K0dDQC5OrzZc7G71TKrrAjsQsDuRXSSi+2yMsrdRgl2v4DdcYiB5ukKPjup6CvALrALfSR2T\/Mr2qMqdxfe7pS82SAOoYUrJ2AX2IU+Ebv9Sjcl82Cw+j31LLqIXfeS9gecK0yOtZv6VmGUQTPn7eani9p3jKKojx+bl38NgMnNyi0sP3VL5zDM7Msl\/SPg+pGH9m0ufmLc3kTE86m7sWjIBCBN4Ka6HnpO\/ELYzSVblhnd4uwv7L4O6xNn\/PdrH57n0tAtPXRrk\/150l7YlQc2tZH6Rehp15cPl1fCLrLcXkO2Wka8tn2X9h+n7rb5Ee+\/CmHur2pvyyiPCbAL\/R3sEl2Sn9vnC9BTEgTXKO5eHGZgfu5SkK4JUWYy6e0W1\/1yvjzgio+Kq9a6zlCX\/Wl4++yMbpyPCNcwzGr31nXmHbOXwW6\/k1kQSeRHJ8PXicepJ4wpbG58yow3oH55i3QwDM1VcLjxJ1stI1x7vGYy9F\/hLC57bk+aJGB+t4qBXeivYNfuV7qJLKHXk2H3JGRDiZmnk3m7U5NbKJarZrB7SyCjPmMsJsTRHhBxuL7+6ynYNSxJMW7GRBlmsHuL\/RBvtsilxy6puVe9Gexusoxw7S2BrF+e8P2A+uAJtUCj87XoGrAL\/RHsni1L0qasnzrFEuzGhVBpddssmszbnZjcjlitVd\/BLn3JFBz43lP8Pgm3tSAf9hnYJZY0JBoO\/LyDXeKKo8alN+vV6FVzHrurLTOPXeIL8en+YVKyf1viOwK70Mdj15XWAOdMcFeO3eTqVKbeUOVWL\/Z2teENLcsPS8+4+s6RgN2Sw243e7k0CZtZ3cY3jyq99lf7cskrYDdjnmizJSz1Auwerz3jjNK7efYxFyUaKxmDVCdbLSNcO5RL1EKUIWCWIfZQn3d7MjrALvQnsKvLt8zTIYFUjl1a5ur0SGtcboU56e3mcdxPvSyOYwY1ekS359KBPJdr+08zL\/8gHHapU8VsJFVMzJny2suSdqcttATX+Newa8qzRHqYuguw23+p8ES3vXw2HXDAbn0ZgfhoDMBM4jjuRqe8\/CN5xDL8tQN2MyHKUAxPmpw+D88n0t61vixTGdiFPgG7ybDGlCQ52fex6\/DThq58E4m3K6YedbMyvf23D1uEkwlkTHFwPfLXew4bQ6Xq8CLp3a27LV6egd1A7t+dbvGUO9jtrVASfj8x4LGrUyvlKbvMX96TQWqZ2eLgdPRIzxj3t99wK64JL7nRL0SAXegPYDeWL3Up0473seuNkn9PbKXFsp4MZFy2oXGPhDnsNoNfyMQMNWbiR+PHiPYC2K3ld5IPrqIcu\/bY2S+ZwabY1WPeZuEsdrdYZha7zujJEgzLkHics5wXo7wYYBf6WOyeJrabRZ9Mu4\/dYrxGZGfqMm+3uxefjMOfyR3s9h89gKccfisSFvLxogKQZ2DXm6kN5Ein38euaY0OzHMYsFLs2qNYvr7S25VbZha7POPpVqfB\/F2Zwu6tCexCn4\/dgy+vQj0Pk0GOXaMVGWMjWuPtZu1b1EL+7V3sOpzfmDDL6FJMFvDGBPkt7LpjIG7ErtaOmjY2GYfdcAxla6W3K7fMfAcyl\/NgG8ZO3WeFRMg\/cYFd6POxm1kz7RLWBhnG0tZ7u4KqZdg9cFGGIxPdKMRnyvFJa9mF2G0eDjII0fpUwK4jfP9kZWxXapl57B65j6+HXzpMlFLU8nAXsAt9jrcruENT1VL2KuySuNH4\/jrr++2Sg20a1jLs0sKDnHFnC+YG64moSvP72C3lQYbD0i01DrmniJ5DymE3EtbyyTpvV26Zeewm7L307mzF8DiaSO0gwC708djN72ypGQOlFmA3jpyKPZpii7d7OHbtBfgkUzl2NealhPGjel75HqclHXWet6V2lFcPuguxSzIt8EKfLyn5nuoGb2\/3ducsI2lzzkZ5bOaB18euQs4wxYKOOsAu9AnYJfIEMrK4XOKb6c89id1l3u6xmMztl2M3YaIMbBBh9qCye6kMz8DueWKdLcRg60XYTRzh8GEOu6fl2N1iGQl2bWafrGIe8PWsZQ7ALvTx2KXlEpk00UFfUhx88CYm0Upv1w5nSqrk2GWTF1zmo7TZyW3+PnY1S7qF5MmKgyuuOFjTxS\/IYffwuLcrs4wEu0zyQp9OfWYNNqUTsAt9PnY9KYZMhg0Cdk\/sPLFH7RjMDd5uwLdGcYOl2LVvr+XsVebs5HZ+H7v96M0dOkb0cWJyPDYaxS7h1xh67QnYjR\/2dqWWkZ2lFtxei9irvFnLZMAu9PnYdaSpDCEDKQG7DYPdofdBWJ2PGdmSt2sP07p2osPivN0rpLzbpE9Yh9IoRdkv0ArHl23u9ZDqE91E7LoMdm9ELNzAtPOpvN34UW9XbhkZdk+3p3rJOve9tzthmBJBBugPYLeZXNuZR2bS0BklYDdifpO6L2VD5sol7nq71MHzg9PKcokbe5LRTUaLStJ+CbtcU81h26rOmfGsv6exGw6\/STtEFkN3c0e5t3vHMtKTg0Nq+sRnzVdvPJAC2IU+Ars0uFuN4441ucYQr4XyAnadAbvUdTMl5RJ3vd3+P342gwgpdk\/0xZjzIJutB\/A+BbvaROfHJLWKbKguy6axS4S2uWkuK5d41Nu9Yxkpdk36YsS1dXbktSLALvTh2D2L51R288iIr5kAETNHXSG57DTMvFrIO13j7TpCLqe2GLtX\/8\/k0uHyCX8yGR9N9GvY7f0\/flPN691zErL7Ys046NmMm8+zLRn6BbxSb\/eOZaTYzenz2OM+aqoS+CCeAQTsQh+KXdpKtUjG2zn6UWdOlhlV89\/StnrsajMTc423W3KQFX8ixa7ZO1MGv1+WCkyi4YgXKA6+ZVGZ4x1Mqwq4V7JxrOTMYFcfl7uQQrm3e8cyUux2vP0yEv7Znk9U6YQoDob+DHZpoSdzBM\/oDJgjd108dpNPAy8Yh4ykq71dj+0WwDwQFmGXOlWjW6yFKEN8pyrvmdg9CEnEGZcKlibfk8V2uT\/GriFU\/yr1du9YRo7daLAM03Hp\/+yd2YKqOBRFW5yiiKCCIKpl1f9\/ZN+AKpOKShKUtR772kIlZpNszuCXXIZFHUcI2YUvkd1zwWk\/LtqOudqsp33iPG+nnmR3Uky52j8ft+sWJOLcryInu70bspvpP2GXgrRKJdBHrZDdS4OH6WXzvR5UhLCGhd7Ou2xLNK+gZ6eOdo3udh\/MzH3ZDa2qsL30AZmpnRT6dVrUI7vwJbJ76QqTad563Xb5q8LHDoVPxNftT3TWt\/XmmSy1Rfb7L05sfA7QP3+pk93zlWR3UdqdX8U4Oi\/m1a49Zc6l1Jz\/xGh+1p\/QrcikS\/PDZmH+LDLLPN8uz5HF+RlaS3Znua3\/qzOT+2xJdjMZaZn7WKX3aV\/axw9EDY8B2YWvkd3MwvDcxSGID4tdxQ7l1FfN2U7Wy8OmsCdLV5GXaHLsWoWmhLd2u+lXWqPJoX\/ZPs+SyM3DrpjpdjqXbheHoEp2w3N+bK4JcnxuSitX\/Grii3pv0DXJ7ji+DJQz602CIJiMvFJ23iU01+7Fq3gU5RsAnw4mrtSv1dwuSNwD2U0nfjM\/TMI3Zib32bLsBhXHkMt9+zLSeLzsOcWy58gufLnsFpKQ8mzDfEJbdTbn6BKzP8jl7lt+cGe3O3ayPWfP3+\/bXt7j9FY5G8GrrPGyr2w\/e7FLrOt9PR4RXbI77ke3B\/5q+sSV\/57K7qkrg3A8O5+\/6+8ey+60unPwszPjVHYOLvi4xbI\/lwd3dC2vsyCADLoju3fSaDMHwWWh4MrUu8puqWu43cuclW\/tdse77IJdF2sLTHfZ+ijz+7IbVGeXbstt5MP2yO546d8Z+fmNx2LUyxz6D8X\/63AS4uix7PZLsvvSzOzuy+604hgyHq\/Kfea1PA8B2iK749iuWPYnmY0upQ+c\/CLxMy9Blvl92zRcF2S3crcb51Zc\/vutxSUptX+NjLopu6dNlX8jK+HaQvex6mqU3XE4csoDbxXuNf9Qi+JF1mud5mvgxGeRriG71y1n+M7MxPdld1l1DCkFzNRKJ0R24ZtkdzyeFMo2+qP1alZ4q7XMxAvEp3yJuPwyKHUBJ9fFNM3Irp9zjIMou9FZXn0My11d96ppov7avsrusiy70xtFbnKl0QaLOmOhUXbH47Vb2EtugovMXSbvWmXMGYXpDvfyiivwM5MWXvaR0WWY1kXZvTQ1CjcZ2X19ZrKfnZcr\/Ng3itwcsrbILCZLDTonu+Pxer6R1l0kosFuesiYD5mM4OVoPxvYbq8qzyuebjwnGmx6p2Xe7\/X27nz9YLcXL0ajpHZOqgrbme\/49m5x+g\/BqLffTs7\/upz8++xh\/WxKaTy1fUdEg9m236Lk4KxBsh3IGxSON3PT0VsmiuRcpSg8bHe2vZsuKv76cO7akeXZ7mlWwsl05I6CepP+b\/h7lclhz8xM4bO1ObjScvcHm9Fa18QAtEp2T+twlV08ch8zeHo1fTq6ZTeVrtWqeARfjAHZhQ7IblGF7WjN6tYhu0UWzhSdRXahi7I7HoesbiOy28WBR3YB2WV1m5RdQHYB2WV1I7vILgCyi+wyMQAtIiz1jYA6rxFlGOmbQ29VZG5ACyYGQDHHGkWdoITMM3bfHPpBriQ8tGZiABTzw1H3FWQm1+jNoZ897mEBJiYGQDVWprMY1EWWFZi\/OfLblzrjgvKJAVCNX0yPhxrI6g6HN0e+V1mFAIxPDIBq7ELrQaiDzMtdvjnyB3J72zkxAKrZPG5PBSWkLzt+c+TXNVq2gYGJAVCNm+2SDTWRBS2Pb478r2zMwVC2b2IAVDMiX+J5VkII8fbQ1+gLD88RNjIxAIr5FYQyPI18Vu3eHvod\/o6KQIYNixo+4p3ahAX7FJ4QIn575ANchqaxCWSAj2BCevCzSL2M3h\/5nyHpwQ2bP0Mhhj+saWg9x3LLVriP21AG6p6DRvPmDx4DfAL7ei1Z4YIvhFg3MPIBB41mkeFjE1Y0fAAB1XCeQzZDHzQx8n+OENaaAW2KtSOE88eKhg\/gJyJ09ylkhkmvsYMG7dAaY9pIgAmADly2u89udhvKhJL5wRHlcBpiGRHHAB\/D2MHdfQKZCLVtaOhlwNOeIW2GPZ0l4IOQL4B9ghnqn2St3wZ9dYIZmkFGQoo+qxk+hKNPhnBd+lZjzq5kh8HTFDaNJeCjkHalQ+3XuidZr7mIfFmGDIOnCXpNnkIANCB3CjOWbs2TbJOhoVsMnkZY+fSVgA8j8RjnLN5aJ9lGO9P+Whg8TeDyPg0+DukxOgTv1rEYGn5tIw\/HBO++i3wr3EB1IgCdJB6jH7J+H\/qHYt\/syP942LvNeD97ljF84Fs1WrffR2Y3CLvp7FOZ0iqGvNB8J7zEUTExAMqR8ahDXqvdYT2UUQzHxkc+UXOL8X0dX83EAGixdzEZHyxuJf0RE++CyrsvMxA0roRPJfn1cti9hawqqKgZuCvImnidjaBLO3wukRBCEEN6O0JJBIpGPpF0wsjaNzEAqvkTgq6KN7BFo0nBRZJwhg3D3LqJAVDNONHdBWu52tdVGaHkEEnSzokBUE0SvitGrOY8gUwlazY7rURyCb\/PYLdtYgBUc0x2XZSAzdEbCg3VrZLTskMVyNZNDIBqfpJ4hhktD65M0yOA8qGfctRo58QAKCd5M+xh8J5Yu6nhrWHkk0xB4RJLUouVvokBUE5SVkRsiOCVjJJ3NpaeKitJvprwKdBQx2DQOTEAypknq99x6SW+SCwXMQg1jXzSu0IIG4f3ARNb78QAqN91pas\/6rjPGCRZDEJsjtpGfuWll9xjrt9hudc+MQDK+d2mv+tBh0ufx\/thOgZae4D\/9E6PvClnjVtu+zQyMDEA6llvUuH1950sfh7OTzvdqPdj6JFnbWj3UeX7bCxDEwOgniD1NYXwOrfxOuys09++NdEUcb07XT3a814zPzH7yOTEAKhn7p9+48Le9hZBB8R31T\/MR+55aYvdytQjzz7fgrcdLYJl2PlosZZMDIByjvPL8k\/Pvd7gm4mc7B\/rb00GJx12uZux\/EGHadPEAGhwGnt55e0I0dR4Ade\/yWYooH0TA6BDeecdU15ru27HyP8cNghtGycGQMf6\/11ORu7Mc757JzXYTefB6tiuh9760NvOBlant7htnBiAtvA3aLr+qfxCQoWMIadT1ZuDNL2XDSxAA6q7a\/IrZfwswULfKLv\/\/SWx0UOK2QC8s3\/xmq9\/KvNACRcyxY9K2T1XXdpzmgF4ld8krnLa7JfKoqoEDBl7kKqV3f\/6ydsC78hIA7yhuvOGv1WWQ5swuIYYN+0ZlX40GLwAb6xQS0nV6YkCKYe6yOZ6W6VXwOAFeJlVclxsvihU3LxvAU+NvuquORi8AK+xlKo7DBTIOQ25DXLQcdbA4AV4aVck81iHfQXf\/EtHboPocdYxeAGeJ5Cq6yjJlpchTANG2BAjPXEkGLwArxxFhaMoutYRwmeIDSFLrmvZhGLwAjxF0mjcGiv6dl8IhzE2hCy4PtZyJQxegGc3KpGyBF6KMhhEHv41KSEGL8BT51ARHZWufIoyGELnM+9k8JIbA\/CIveqzIUUZDKLX4UkNXpezDcBdkm6L3p\/CK8iiDH0G2gyWEJHGy6UG7+DIwAPc5Cc5F9oqVTcJHT0w1GYYCuHpvN7J4OV0A3CLv6Tbj632UEhRBoMTLKdX7xUxeAHuLpGkqPlMsRVHUQZzyBTBjeZrYvACPFLdnerLUJTBHKvGq9bXAIMX4BYqWknc2nFRlMEMfSMnDQxegBtrQ0UriSooymCOQAjRM3COwuAFuKm6Wl51UZTBGAsVhevrgMELUEJRK4lKKMpgjJ4QIjByZQxegAKqWklUQlEGY8hUlaWZS2PwAuRQ1kqiEooyGEMmZoeGro3BC5BBXSuJ1q39jrMx+sTD4AU4o7CVxM2TLkUZjCCzEP\/MXR6DFyBFaSuJKijKYAxPiKHJ62PwAkjUtpKogqIMxoiEsIzeAAYvgPJWElVQlMEYjuYCZLd+cBi80GVUt5KogqIMpmhFgiAGL3ScvYk2gxRlMMWxFSOPwQudRn0ridbuuTrJuB3nDAxe6PCRU0MriUooymCItRBi24YbweCFjqKllUQlFGUwRCyEGLXiTjB4oZuqq6WVRCUUZTDExFQBsjIYvNBZ1d0ZubY0N9jnGKBNiSoYvNA5dLWSqISiDIaQlmrcqrvB4IXuoK2VRCUUZTCEK4Ro0bEegxe6p7rGEnQpymCIXctKbmLwQnfQ2UqiCooyGMJum6mOwQtdQWsriSooymAI+Rq1ZbeEwQudQG8riUrdpyiDGXzTBcgqwOCFDqC5lUQVFGUwhNXG9EAMXvh6dLeSqIKiDIZo57hj8MKXo72VRCUUZTCCLEBmt\/HGMHjhm9HfSqISijKYOc4by0t8BAYvfC8GWklUQlEGI6zMJSY+fCJg8MKXYqKVRCUUZTCzp2xx4F5aDw+DF74NI60kbt4JRRm0c2h1mgoGL3whZlpJVEJRBiNIZ7\/F28kYgxe+DGOtJKqgKIOx\/WTQ4vsbY\/DCV\/E\/e2e2oCyuReHDKDOIKKBige\/\/kKdJtMr6K2INZF5fX3VfVEsIO3uv7KzIu0qCBUwZpDBr+7X6sxQCLzAk6sq7SoJZTsKUQQazpL5R+ydC4AWGRV11WjYV7mQyGR0aSCDwAkOQepUEC5gySEGLdmkIvMAI5F4lwQKmDFKotDgcCIEXGBN11drBgimDDNwo6nT4nRB4ge7IvkqCCUwZZBBEUaXFD4XAC\/RG+lUSTBS85sB8rqoakDFyBQi8QGPkXyXBBKYMEpg3MntdlggIvEBbFLhKgglMGWSkkFrdpQSBF2iKCldJMIEpg4zKR69DKhB4gZaocZUEC5gyyFiEoyhydMrOIfAC\/VDkKgkWMGWQNOhbnX7wTeDd4tUBbVDlKgkWHkwZxOPoV2JQgXeAwAs0YZZPo0bNqEtMGQa8I\/EzQjdBHQIv0Al1rpJgAVMGCZRRFGknlN4uWTvg9QHleevVuUqC+ftgyiCeeU5M2v3qawaBF+gRdVW6SoIJTBnEM29QXTX83RB4gRYJQqqUqTkLmDKIp9L1RLYHgReoH3WJqXmvdHaghfWrYXRR5Or5yyHwAtWhpuaK9wlkWuqMeqOxsAOBFygedUlmcFL8V8KUQTh6b2NC4AUq12PE1DxU\/WfClEH8eqx30x4EXqAsSpqaM3BgyiB8aih1i+kvEgoIvEBN1DQ1ZwBTBuEcNNCeFoHAC5REUVNzVskIUwbRHHUQn5aBwAsU\/LCIqflRi7QcpgyiuRhQYEDgBaqhrKk5A5gyCGf2ONb+khwIvEAtYmVNzRnAlEFKhX7U\/ikg8ALVkhlFTc1ZwJRBNKcoikzIEiHwArUmY6fPwa8OpgyCOUdRtDHhQSDwAkUoiam5RjMRpgyimatzM0IVBF6gBGqbmj8LAjBlwEL3KyDwAvlQU3NfKy9VmDKIJtLV95EFBF4gO+oqb2rOAKYMCLt\/AQIvkFtxqW9qzgCmDAi7fwICL5AZdampuW4\/G6YMoueJYWEXAi+Qhxam5gyOMGUQnB3quDgvA4EXSPqYukhPY6mvpgwj3ibvAS8NeyYIvEBe1HU0Tb6y\/42ber8NT+e0coMTXue6tI2fncuwiI+HzfhmpOcbBF4g4cPSxNT8c1ZLQu18viOIHjnifa5M9zi882BXZeJs93U7XU15RAi8QDQHXUzNabi9ZbXRE654oSszRE8J3MaPjXhICLyAG0eGLFcHupiaU8poCfiRrU68OOCuIU8JgRfwIv2qy1FTc42OHGwWowDaGtavLxYHPDTlMRcFXjQpgl+z\/\/qZUFNzrTYT+qUogCNr6+MvDbg5jhgLAq8XYbsN\/On7cb4UkK5ergbeUhSAOLc+ycJ4n0160GcC7+RGKaYB+B0X+qU8FEzU1Fy3hGUh+8LXIXidq816UrbAm+IsJPhzuNp+SmM67crE2AKlUSkCa3YwmQIv2cQN4C8K\/hatLg\/TSSdT8zvd0zAACY4H2dPxjk17VIbAWxgopwBhVB9fC2kXO2tnan7HeRYFcMEPFwrTu8ce+Vfg9T59NAD8iO3nDX9qr+trebrg+qzqxeXtXGit0nQ+C7yTe3\/YBtu14Mc0n44XeamGpubvnJ6EAQevmQud8d1jj3wSeFP0hIPVCsVAR1Pzd54dmdjhPXPhyfngwdDHfRB4S+wcgHUTFo03CXprpEYluNjQPfbIXeAt0J4I\/oBjVqd7zQwDPd4zH5jngwOT\/S+owNv888ho3gU\/4c39+tlo2cRwJ2UFAhj38cK3onvskalhrTRo3gV\/S3Z1bWNYKHs3eNGcYJ0P7sx+5Gtm+llowHsK5eyjtBq3xDTWxQGZ1DaeCGSl+LimGnyb0Lw+V8eejXUVYKzbo+GPzDwkguZd8F3Gp4fq9d2EYiTwMd40NzLrFrknBkC4qw98kwXnPn0\/npMlzfuqpn6GN7FOLmw\/wJ+S3SWDWm1v356+1H940\/zY2GaxmeLaKLByXmhE1XQ2ZQHRgsauvaWFG\/vQvAt+kxYasiNdY5NZXhwyvGukWPhe0LwL\/rZw620gk9q1sy6Xi03dY4v3RuEwJHjN5lXUPR+MiAQVXjVPRovWuKfbaairwDcZFmdQnmhcMjXo7BGHb0\/3WPoiUenQvAuWaZfmT+NcdX62TwoczP\/5ElrTRfVSlcMSD15wfj55fN2LpbfHIxNXvGuu1LZ0j+37l2HXYMtLsAa75xsDnv5Pl6CdUhy5NeLmNc5ehF3MNrDEs5W7NMKta8KNKzKmkgWeQ1PhG9n9A0RXhg9bAuFoyPMND5dyAr5s7fEeI2zCCs274DewiqXKIDfww\/tTYXOZexiyr0N6l3Ro3gU\/hdH2nR2NesIU11wJo7HRYNMrXTTvgl8FpY9+S9Pu1t1bVffKpbTUg2t\/ZhmndmidAUyO\/1ysmxgoSFXo6BG8xFlYWDBbG9C8C14nu01hpPxJN3pyvGwBwcfm6nrcpmjeBT8owEmKYuohLnoncoa3LWoZt9fWeHJ8NO+CV3xMkrPBC3OINkoMtSjapEHzrtw06zqO06Y91J6i3I9wBX3sHdrNNI1X1WSG6zjtvEvxJ0gsOBVrsb14OwVH6ifTcpraA5cZRTww9uv9vXo3z0olB3vc7YuQyeB\/HNc7hcZQ7A+j+pN75wxp1eWRPgRuk\/Zh\/abOEF6cMusCFUcqLZ2LjtuPU3zq\/cYNtJqVfn\/aKjTYbTikjUYjuObL6NJzomxhPB5PXa7niwnyZlAhoExF5io\/B\/t41CjkXndF6moaLgLXd3YqNGTVpyayne6kYuRtw4cqIwqU5Z9f9\/CT\/cSTmfNeD06mRzqRN6nT6iE3jNv+8UAVv0m1\/iS9tzeeL5JXuSNi7r3r6aTWWftr8f5m8q5Kz2W4jdVkiNLw49+2zmlIO\/c9w3TluTIce\/c9x6nSbCjDv8qxQ5QU6xGW59Rv3sUP96yB2lCnwUPRnpVhEccXDv84Ubnq3yuSIas+ZmWUyvvar85DzA2a9JwUL78x59yksSEUyTltciWtuN\/2zb0AzZx4f6zbjbKU9T\/\/YVcf95ewv8eTKpaSxm3ufefdEO\/WetaGw\/jt4uGePg6Kaw1jeftc8irZ7o\/egd+s6lYf5oO33xfn6v4Eg6RFLn63vWnKS\/3937+PNyZx2Ifv\/U9VrMb03tyt76qk1ndgQ\/8WeDPx3o9jn9PifbisuWSFXEaqrbc9FUNylR3b3opbtuj2Mfc04MTrD8f9LfB2Mj724z0ZqMr9xnYOThao498y3YJuk3it3uN6vK1ogejUoq2otux4ugxVfRuq1FNU4n3b06Cb9+sVD0ufJMc\/vb2pT5Xokz3tzT7UTxBz3yPvrdBrJc\/vY3Xb5vNMGNZb13cjUkvb0dOV3VavsXJoMMiUlHinkm6dZvwTXf60l4wWQ6VIWfEtobldEyLcPpYft9QskSnxvlH3pfy0M2RU24RGk17UqL6FZHa75UG3ofIGEgxcBT0tPPoS04spH\/uefuydOJOzkeZ1gX7zkjch3dtI5d1Ds0mp3n80aFRvRqK+mBl+pYVcpmWAuNBKJ1TN6s8hK5m\/3ZkzK1uHjLW7FbTGbWiczyAvMGrigcyvTpadS13RnT3DhvVCFpNOhG4++jrqC\/8qDZlScfftRAuw1rCPPcnFrXEH8v+qCsRYdoSgpUAhZX5v56AfhK15wxrmYhw96LrV1xoHA7JEVQpd\/DmRlcyvzZuVdBslFSCmU0PqM+LrU070wlsJfdQhPV9g5KgWRL8ZOFd0e\/J\/OWtdCx\/OJO4qc26ybnRfyZ5Tp2L2e6lX8wnBdSkzk2NtP6ZUazJ0VOkBEJ9rX2pMqoVS96Ei6nSuiG8xqcCioTVzVrZkjcs5t\/DSbXIIDMtscwkuy7dSzjN2VOuMd\/VM7AIDR\/+hok6aSsRd0vRkwpg+i7tU\/uJ6xzXtZ7wgsL6KELSjQei2BQlKvcnNJQdyDMTnpjNc5g8oNyKnoHKTAi4hlznqurHJHzvZxAw45rukeHHRNvYNKtF3aZB3M9ggm2ec4m47fz65IRoNSdwb6Qcn2px0oJg9K+nxO25rXEKLPPAderFXdjo2RN1NS+LuwEekmSuU3JhKjnTKVqPcqDvNerx7NH1aHuep43I6nUp20zoE1G9C0k9Rbhnk3WSt8YPaZrz6yMgZoMCgXYtE6NE+dmuNWSvZc8hmjs+ltiC3uwYIp98m5Vp6fO6lJnXIzoJBbVNON3GTVbI0aajIEyUyT0mQlWxrw7dONJ2Ug\/q1Ixt2OJn2U31XhDHObs4qGjvejTeParP6ebXEwG70VPKdsURns8S2hRj9nFaPuyOJIQ5i6Q84uNwbTT\/eTRBbMqrHeVS7iUMplxq2WXyYWwrzg6yoa8d2w52ey9nUzLgaTADkY86EZBX51ppRjbvVC7qJpNDGnaMiZ+4qSfLucc7\/+taWWbmbI2S38tHAAieCfy358C7zDlZlFZtbU+qqZwFK0uVq3kiRrlk59iDX1MiVbKG26FZvGR07crUK+CmzZOhO\/Oe3b1MzNWlnaFYUbza5qQep5oa7RoorTmHdVhBpZ1h1szchCTSi6M\/JuLviOPZtddbuqnv0ZMfd0HK44tbn\/CJRc61L1Ig9w5qd0rvAni1JHmUeT5\/Yq42FCBEFVpvg3rwjaWhPPzH32cnZT2s8u2blrGYHK0o6cwegjxD6KwbOZmT\/Z+9c11tVgTD8qMYQz2fUaLrX\/d\/kDp4ygKdWtFbk11pNTJthePkYZqAOY8i2EKlPxRVVAlgfbH7W2HgjwXa\/5Oeuypj39BSqBuojdh8XQX\/U6kj7drsa\/xwpz+EkVXmOoFIUskOXnbbUpE4oeO2NXSI24kg2r8RCQzrWlcWwohkbpJnSYleP5LOqLmwR8a8OFJ97ubX3mTgkKnkL5PNKty7kFWPDQIrjLLYlxFa7avcYoZuMB3EmjqjDR8yTJ4LUJYw716rZkiY+4VzcXq99XSexqj2ERnz4BbKcUXdbUHT3Kzv7uf3e7led\/LuRCxdk9EoSj\/WFLC3+XeeOCSDERkeR6Wc5l\/v7k5mDUCxgq+h+6shujYJs89zxgVJreerT2KWtmBPPA8lqoMQ3kkyTb5M9piLkh1IatT5wQECUQTn9xkVdXbJrqRrZ0Q\/kHOvPm6BNNVteG4oihIOQs0llfCHxZqcpBCb1vZ8nD44rCN32vOiE3Op3k\/QOmiRDSMQliv9dMYbVzdooyvBVSXyfaCLkfp+03po7t6U0klew44E4JP7jSzzWb\/iKMRwlyrDFQWQk98nRJDVqpIo48UmRYM8d6\/teI5zLfFghWYQZYpJ2r1KJlYQgKetf28QYLCyrVW0RDl6e+jZxMO0bu1H3i8yH0t4ungg5a5PEGNQLnAKiDBtUChnnTvSf0xWOgJ1KS4bTCUMHoeq\/vbD7n4OQLq0Y0FQRFRPFVaEmSG5scItwJdGlEnwLsvXnm37pCFnnN5WKkLVbCll6QyiX1ivrDJvVsa\/gOntM0MpjgxSyUurywSRGKBNQ5SeBqoi3u098QKndZL6HJipFBNLNK31MxCpP+MHzXW6fmsrr4D5C6sqIOVkSSlCBKUSBLU5kkFqpYfOGUCBAUKHrPIbVDa0XZsMrZJlz+6z1RdeBg5AEiMh3TGX4MiTOanw39yZg\/5LMk9GFTQHBNbTJbc6xxEbNEXL+rV\/MSYCIarvydL5y0pM79ym5CTgNJ7sSGQQF15DwPY0olvv0eW\/9deSVHIgwdzyE7D9bukum6ICiI+DAQSRxwYnY9bD44Nork3nLuIbJbeXS+ZulwdHLNbyq8kz38adi6oq6SSbNcA1PjJAjcVwSqwiVAtJ2v1HEkwaKWXnELa\/7Lqlmb5G4G6gLCgjNsm48JQLyY+FxTYV86vpc+fqvnqu\/I2cNrNy88Am5lzI3IL3YN938AVsSXbf0ts+8siyr1eOkWNKNJNdur4ssSemkqi35q2HzDDfB3HJGiIX2btn6ktT0G6XBoWEBr8yqjapWX6SX\/lphkbfFKk9ZkqmjN91RDi48Edog3ioiE7b+q+dSDAJSYbZu+ydejl3DQWyzvg1essvfLR9JvH99tctrSTcW8XoFtrRhdcEt4w800NSKifeIsdAvYHft8cbh4vJqbHJmtDeZqOoLyp0\/iF3h5ZkKWo5dfim9HXZvO2HXFYJdZxF2NX0IFMiL1mH3tg92U38\/7EYOQpn2E+ySiUxjsXvbE7sRaWs\/JN4RuyTOyE9fYnYrMDEGvrC7CrsxPp3a3RG7wQgmUJyuwi66sMs04zfVbv0XJOuxa++E3TG3FJKck9QIjy7srsEu576X2l2O3RcInll5ZQPp66drsHupXa6Zv6h2hTBrP7X7oa5qV8\/K+kjfhyjsovDC7irsIu1Suz\/EbtGFddVuGy165D13oxXYlVvtZkbbTK+MB\/Tu76hdAdjdR+32YqDsXDj12p844YXdg2DX2gO76ePdknNhN1JbCz4hYZPOst4PsVsQU4UyY5fqYM102G0ITYiFzqp2o1bc+tCBQ3twsK\/HLn69++J1Yffb2GX8aRvsCmqHwm4rIRzG6XAneJOfYVdMOw1238hoM6F8\/Ftu96fUbtUCll5tYV1UmIHG7p9sh8AufWzOhd2F2C1a63HZYrhsM3gv7ArBblNV9Js5Y39J7bZuyZ1snDYi2L6w++vYzZr1W7UAu2kYXdilmj0qH3AbkCwu7IrBbmvQycvtJl5LQ3wM7O6hdhuxO3CnV7tdGa0d2BtjF4fpD3sL4z+CXcvgk3d57EZBXs+Uju9R6+lHEAQ1dJLKylTffraqOVVsX1V9ywRdExXvpn2eC6I6bGfF9Rs5H0mN0sqQE1s5\/dqBsJtORHAbz+ymM\/J1CYGxkcdO1i8tUqWyLD33AkxjNyWmSlvLdyZ+Vfr7Wd9WuASJ4pnrKnpbsTLSs2K32bjpj5oFFmrDv8QESI1zlzPPq4qbRJMK+O5Ij9xDxfYzJ7aqx2cEJ+\/3Njrx\/Y8XHBUl6RI9d6PF2N1B7UYOl2\/XtYwd62MDm3zlIOxHcmx5CbBcAwijNeGd9EUx+xypVO6GPfVrqA4rTN9pEjAoP59\/FLueRfo505\/J8bGrt7EGmLzLYhcrKix9Bf2jNmIv6YsQnef7c\/ATVA30n1uCeL7a5E9ooHgxp1y3KKlU+QAfEbvtjDWcJ5ZDdVb\/G9fHr38eaPc4bvXGPYXd7LOe1lBzd9Yrbt7Jr7QfsAIU5clJsdvuXtqche5gm752QZPypARWs1gvSr2yPXLXQJG32m+TUgbuFyQR\/KVluBC7O6jdZoJyhqaCZmAq8wM7b94XVeCLa8ByCGwauyCTYeK5ziFDVpeDMllo\/zdLovviRx8x\/CbJwbF707tIkDmK3ZQuw7qBMVH3WkClZuf30KcOKMCgJ28UdpXR8gKDTdksj4hdnY\/PcHK3AIO8s1PzRQOqpDgfydttsIsrusgTTIk2ayrlnNhtkeFwFmItSSdMs55UUdile4R9c\/yawO5Lpd7rKIdRu+W4W6YKadH8wG7wmVCVbu3GMYddhcPu4HOj7LThsKU7oLgvexRbY4PgsGq39WeQvEtjN4z52m4MsVsyxUT+cJJ7zqpdj\/1U5g8YHC4Hwi6ezlbwQf83IWAEBzlbFuAM5+022C3HCrY4fwMRyJNhN4XzGMzbLbgjMT4J00++aPs+1iN3j3tzMIrdYNxDf1vtZsMl\/1z8e2pg14O1YgybRcuwO\/zcPHY5sbWY2OW3q\/F+Xe12uxXWMHZxR1Hfzi2VSUhVB2qJbuwP0hG1y7VuayrsjO7ntu5QI+BI2E3QZJ54BQbjB6ydQXhWTKhdvkWMPlD13O6nu\/CU2G0XFy5roT5J1a7Du9RU7\/aepPcCLBnpkQ+iVb\/3zxeH3fxOT5pxNlbs+UtqNx3eN+MBPDWw80Gve3LYVYawO\/zcLDu7mUy1yt6X1XDJo0b3YG7HbZ+q0dHVblfT4g5it3XG5qxFHMQUBHv3rF5RlID1bvVKcRefdUfUbv3\/R\/qp66ooYKlBGyqPqRePg11jOvvcBS+D+VvP63B3aytfSXAa5APYRSx2qyS6h65OT0KNe\/pFuwvpwBfPhl0bvAIs5MIj39oEX6eZ6sPGHqpBxmD0RJM98uqiBWRwa08wetMwbJSA8f5HrQfT1oGfBSZmVxdmae+idpvvMX+3zOTA7j0ydkOMk\/a9cZP3EDZ9lLytcR\/DLv\/cHDtbm6rNPk7oUSNi+tFm5lMaqa44aAEifl\/tdhq9T96F2NWYWElkcXxAKGt0al8lkL0gmOxxtevS+09wlRT3Ng4zGFM7Dna96e4tgKF6rCbUi\/0+ojKrdrvc4DQGmqtdF+SYHnLeObHrgekXWMimwwoG8FebTqtOgLTlegTXXnbTO7crVCqcQwuTnHLzNkg6f+DILmo3gA4y3qYHds6oX4UKRI4XB08+N83OkonLP+A8MPloQSmRdohkh1e73URTDWDXY3Ok2jVdAPDZZwiGbA2nz\/Ykjd0Hs+BJQcw0YLdm8dGwW00H71Mw0XeCFdPj9slIlHG1q34mIfjGB5tKkYMijbNh1wA8ARZymAW+3ztsyOZOmx94cj3ismVwCSUFKOyG7OkGbSGCNo\/d7dWuu6wufXpg54jphgoOylnsDj83yc6UOzHCAJ4++ajBBPuCBVGWI6jdLgaWcNhtcwDTkdlUZTIEYybtoATzDq92PTZ5QvtMXg5mg6jR0bBrs9PD0I6bCrCrM1Ijw+yHjapdUJFhARoYbJjD5BZm58FuAGIEHwtF7PvNfjw+2a0u7PRux1UR+lycoILQprDrcYmxwWiq7O5q11iyxp4b2Dlb55ZAjTGH3ZHnJtlp8rOF\/4HC5KMeg1m8oFLpCGq32zVo53qA3Qd\/AQVWPyxVmb6zBuXFmNpNWbImbablu1VctOpw2LWmK9wjDrsJIzWUkZAEr3b9+3B6n0JMpbABu5NiN2GwiwB2waUV9ZFLBTNsuWwatkc0PhuhgCilsKty50M0g8Kax+72atdcNAPMDOyc8224qJjD7shzk+zU+fUCiBdNPvpkXSYhLvAH1G63HjPZgf0c2CuoPiZQGclgw3BAb7gRtQudNJxCWPknsVuwQQaLeRSK3fZHY2rX5BaRw04VxafHbslayB+7NwHze0v1tV\/mUI8oA50ZgyApxK428CdWC+KJe6rdubSKmYGdsyvOZsPFW4Tdseem2IkH9qfDT4dPYreNAlffOd\/6GGq3y8EIGexaA97kfuK3KiMRchgOG8AunbfLSUN+wY61h6GjY2I3n5YVAbul9mR8MedjbWNqN7jPR66iInjG6PRBBo+1UJdtG3svPIDpkWHA\/pZyoODQBgMEYtcdcFaDERy\/p3aDRVnEMwM7504I8Zdjd+y5KXa+hrJt4x4Zk9iN+rRjJfwb2O3UbrepZTHYjQfWTo+PMGBPm87hR86pXWMSu5r7\/ORhHhK71fTehcGmK7mMDqO\/hDKldhPO\/AC7+H\/2rmvBURgGLoSAwRB6J2z5\/4+8ODQ3SkI5gvHrLZdESOOxLI1CyTYdi6n+PRrsStg2h1kIr4BWcgx6b0O5dzrKq73dJBbAoAn\/+7wud8VXMkUdZhO2q4OJ+Y6hwGZHwUyH3d7nhrDzxuvxUFpvnlIEUb2udBr07oTtNtU1Lgm7Mme2cNa5IA2f9ASJQbY7BLu3pK9DYD+wmw\/7t42diSmfunBqINwhtpv1w65vWD1NF0eD3ZwuoWkyjYQBLLNRTFGHurXofwv6JgnJLOzee8cOXXbAdsNJdbsjgZ0yCpEvsF3zDdhVeduW2e57w7Abk10aQZ7tHHYxamq39eEY7PJiAAMNmYIPerMbZLtSL+zqTn9j1n5g9+lu12A49avyglznJBKzIbZ76YNdUszk2LALMSvimgxxSGGmrMbdoS2bBrtyH5JaLOymvbCb7YDt1tc0PVTh\/ljueGCnTBbsBdhNJ8Nu0WKnwUvSdDnLoUeRC9A7Icx2DbvYfVhdt3fHYTfmpS9Diu1Kb7LdXtgle+MtaO8TduuWh558XsS0opaDx99wiO16PbAbk2Im8t08Luz6eKs5ld1yFY4+gj107qdh13oBds1e2A13wHbrHcTrh2Q4HtgpQ4ZfgN1iMuyaLXbavEZ72PL2oUerX2aTG6d8+RC221wIhgzbtXk5e301tqt3gHs33Mtu63arKtC+fgkDB2UqyF3O\/YE7xHb7YNfuphbbqh4dum6XyFkyk4OjWypT+ksvsd1KdTZlV9HHdjl\/m44nGTZQIDP7r3ql1jgjgb0R7EKK7fqcBLQy9mh7xZHjm28SfQbbbdzJiencrsm7KwrXYrtx3fpmZ+QuvDvYrU+9CZfuVr2mze+lgrzk1Piob7DdOh+fdOrmB4ZdE9\/kuJODL5JpYSkpdajAj4ZdZ6QAjM3tvjFcYRu2q\/ZrwZht6I4E9kaw67TfQuLtkdZAJYPDm0\/k67YDJs2P3Q\/b1aJalp6uZKAmgmFltGuw3VrYK+zJZu4IdqUBjTmX6C6jgjzj1PjYb7BdgxEqPm67REbI2TFst9ntdLPtT7+xh5EMzYDPeLALRwrA8DdtvDsJchu2m4E+unvp0iYjgb0N7MaAqmTQOSkRe+xROpFiyIBGtl2z3UaX\/t7Fq8mWM1Zn60Bbi+0aTOJT2ins1g2WQdxn3JYJU0EeA5ZbKW+wXci8nfSwsAuJupHOQhk9F6ZtF8jYRqwC6ZJCHuzeOWwrxAbJ4LDL6wS+NNNs\/j\/b1XrHzhUdVo0E9oqwiwVV2X2fjPPaMSQYevQ59wovWKmEhK1PYbvEMGGA+bDK8rhCW4vtpkyWJ90p7DaVRFIvETZ6jrQKs7eX4A22K9PF6XFyVNi1AdOeW1lIYd5A0Pgn04JeAYvKeyMuezCN8H5Y\/NMjwI4bdSYWy24xOfjWQ3dDzIYjgb0K7IZ0tOQYZbXYzIjTfczQozrVo9UYwPsUtkuIamOWItKXeNv1GmzXpNHCA3uF3QslwU6BaMeD6SBnS34heIPt0r3ZjYzW8WDXAKTFOgvdmXyN0gQ600Z466rx6DcS4Tq9+Kaqs7Bb00ldG0Tt\/8d2m7HVVBrEkzH5n5HAXgV2PSq3Vic1TSwAWJkSZfRRjyHu5cCMwz2yXXycDr7jqPSWmWirsV267sd3dgu77RgSiu82w73Kvgscj46LErzDdh2qML5u2Doc7GaQbkfoLCTRcFlRWrc1QKeSU6meJ9w3Uu\/2Nr2nyniaSCJeO6azVQNdNg67W7DddqgGceuQBYQNhwN7FdiNqZxcgQ\/zcpl7ChyIBx+VaY8xxhtGdsV2242yjdcbJaBZaY43r2sNtnsjk+WZQ84G2hXsdoNRsAi+pMxdak+Qt3HhjkyX6IHdOxk6rswR8\/9w2I2j7JY2g6K6O7TOQhUEmG24xkVnsertNB8ZKfSYpZI9gedNZOsy8ZEWzrbqKcawHTisTGrI3YrtdpXFXdeAr1Jj+IYDewrsuq\/Cbj0Foh7Y1rY4mHjpT+cfBlGQMfToE5+t7sgZ8lrwds12G9rVxmsDLGmIfrEvkbdIa7Dd+iLWrHQ2C2qc4L5gV7u0xaJyKulhGLqGw047ZoP8UvPhvPQ1LTPGZqn1wG6dQbZR+Pu3buSX9\/Gwy13dFA3MQjGpQBZCbOepoVSWsliLbjIuGM82DtebJUSOHl\/qXHLLaCs6krtliBk+QKXSmlcHheVpO2G7HR0AgX3TdV1Km8q69gcNB\/YwfEZ1M6BeXl6C3dqoUMr8TE2o0bU19ZBvVTKXIiZDj9ZP3iuEbkZb3T6I7WIN52Q5CsIERaG7cVbpUmu26gA6ROdJ8Jzcsi\/Y5Y1fZUGCE+TdsPpA5o6wnMJ266EGwHIg2U4dFAeEXdyhMQuF3cBTaAakg+bkYOb+kj6tEc2sHK19yiNPvO0ravuDk06uydV2w3Zbz2D6xj26zowf2MPw2fX02S\/Bbsb9Tsz4X9mBzdeH7LflPArbpiGlgNT\/+hlstzlAdfHKjqbuHGyVLrWI7o83Ciy1tzPYjSOH7+D3WBuCXWY6eP5Ol1pJf2pZ+2tyPNgl8ud43S5HmUbV6FCmhtjy3sgl6Xf0Nl1avyIfDu4K\/5vttrM8aakCn7kG5P\/eEdgt3oNd2ukTCQdIjk0Vvy9eiEe9Zhu4tmPL5Uj7KLbbvo0u70D1q2NZlHU0GXTiA2W3DcUdwq6mxSpPjYZ8lKeFlVMo\/Y4mA34FWk0Qto8Ju7JBhhHepeabAwhI6XsY8cAbiShlB0unS\/O6V8SIr0iatiO2q2mxwcpLGGQp70Bgj8Bn9ibsxgSyJplL8NLYHNglBh\/V6RAMxkL3\/8Eu7OHiJi1hFBEuVkRUiaROOTkNuzJGSiD\/uRp2G1t5nf1l2+8g6tJ86z3B7sM+lAwHUCTSv7lBrpUBvrVotHkMjV8doxMC\/pj6VqDGLWVI2tP3p8EuQ+Blx7TdmAUw7IbtRuAHJD4ixLAUmz\/AfSOEnlugEkWkEQRkuW6JH3PMTNN2xXbRN85J+mIzBLA\/sO\/8wWatxcOkg90bBrtjz2mdhS011koKglz8wJFQWZuBR+MIciTo9gm7LyxPgoGFIiC9RdoWS8\/NwApg0cRbqEr3XI+nPr4t7KLvlyuBVYPEZIn7WC8cCxnVjd+3VHyzYSI70A6b\/9RQbXXyN98d7L61fN1WkPllJc0Zgd2LUUAH3lV3wnvx3cKRAfI8tvfX01X1VmL+X9pKAkCgpOrEoNiS7T59ocwhujpIHGiE8aKBHWfuwxrh644bl3kBYWG4Ef9fbScBwAqUPHzt0YuUJtWN0H3K6\/gI2P20tTnsVm7hRR9nqWPAbo2Z8c6NvS3bFXDF\/tS\/PGH3MLD7ietIsLv7tTXbPdcJuyfsnrB7wu7Jdk\/YPWH3hN0Tdk+2e8LuCbsn7J6we7LdE3Y\/EXavJ+yesDtloQK0rWAXzQ1JPIHd8oTdY8MuEkW5C2xUCYCrOw92HQCuAsCuGwBw3wh2kZ6J0Gw3mQ+7ERA7speEXWlpB0c9oqngsBvOMyHklNMf0VIyAPZGsPsLxye6Hnkhtj83t\/szLjdwrgkLNWSVi\/OKYIIM3YFXjiRY55mweG9c1qctY43DVh9kpGKcIPoWEhuZfbJg5lqc652FWJW3tI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are a quantity of kinds of effectivity variance that an organization can experience, each of which supplies distinctive insights into the efficiency of different features of their operations. Moreover, by continuously monitoring efficiency variance and bettering over time, companies can stay ahead of their competitors and preserve a aggressive advantage within the market. Any positive number is considered good in a labor efficiency variance because which means you&#8217;ve spent less than what was budgeted. Corporations might not have sufficient information to determine the basis causes of effectivity variance, making it challenging to develop efficient solutions.<\/p>\n<p>New gear could incorporate technological advances that may improve efficiency and reduce variance. If rivals use extra advanced gear, investing in new equipment could also be needed to remain competitive. Older equipment may be much less environment friendly and more vulnerable to breakdowns, resulting in increased variance and decreased productiveness. If gear often breaks down or requires costly repairs, it could be time to think about investing in new tools. Corporations want a group or individual responsible for monitoring and analyzing effectivity variance. Right Here are some individuals or departments answerable for monitoring and analyzing efficiency variance in a company.<\/p>\n<p>This might help to determine areas where improvements may be made to cut back variance and improve effectivity. This can occur when quality requirements usually are not correctly outlined or lack monitoring and enforcement. The engineering supervisor works carefully with the production supervisor to ensure that new applied sciences and processes are integrated into the production process and that effectivity variance is minimized. This is the quantity of units produced or services rendered, as measured by the company\u2019s production system or other tracking strategies.<\/p>\n<div style='text-align:center'><iframe width='565' height='310' src='https:\/\/www.youtube.com\/embed\/1vdUUCNVGJ0' frameborder='0' alt='variable overhead efficiency variance calculator' allowfullscreen><\/iframe><\/div>\n<p>For instance, the usual hours that the employees should have used to complete the 1,000 units is a hundred hours. Also, in case the place variable overhead rate is predicated on labor hours, the variable overhead effectivity variance doesn&#8217;t offer any extra info than supplied by the&nbsp;labor effectivity variance. The Variable Overhead Efficiency Variance is the distinction between the standard price for actual output and the standard price for actual input. Since the calculation of variable overhead efficiency variance just isn&#8217;t influenced by the tactic of absorption used, the worth of the variance can be the same in all circumstances. Hours refers again to the number of machine hours or labor hours incurred in the manufacturing of output throughout a period. Turbotax itsdeductible This is the portion of quantity variance that is because of the distinction between the budgeted output efficiency and the precise efficiency achieved.<\/p>","protected":false},"excerpt":{"rendered":"<p>It can end result in elevated fastened expenses, decreased net earnings, reduced operating margins, or even negatively affect variable overhead efficiency variance calculator shareholder value if not addressed promptly. Conversely,&#8230;<\/p>","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[26],"tags":[],"class_list":{"0":"post-9642","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-bookkeeping-4"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Understanding Variable Overhead Effectivity Variance: Calculation, Instance And Influence On Manufacturing Operations - Omoshirogorufu<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/omoshirogorufu.com\/ja\/understanding-variable-overhead-effectivity-2\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Understanding Variable Overhead Effectivity Variance: Calculation, Instance And Influence On Manufacturing Operations - Omoshirogorufu\" \/>\n<meta property=\"og:description\" content=\"It can end result in elevated fastened expenses, decreased net earnings, reduced operating margins, or even negatively affect variable overhead efficiency variance calculator shareholder value if not addressed promptly. 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