{"id":4370,"date":"2021-08-11T10:36:22","date_gmt":"2021-08-11T10:36:22","guid":{"rendered":"https:\/\/agdmv.org\/?p=4370"},"modified":"2022-10-29T15:43:26","modified_gmt":"2022-10-29T15:43:26","slug":"overhead-rate-definition","status":"publish","type":"post","link":"https:\/\/agdmv.org\/2021\/08\/11\/overhead-rate-definition\/","title":{"rendered":"Overhead Rate Definition"},"content":{"rendered":"<div id=\"toc\" style=\"background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;\">\n<p class=\"toctitle\" style=\"font-weight: 700;text-align: center;\">Content<\/p>\n<ul class=\"toc_list\">\n<li><a href=\"#toc-0\">What is the rationale for the use of departmental rates rather than blanket rates?<\/a><\/li>\n<li><a href=\"#toc-1\">Which is the most scientific practical and accurate method of recovery of overhead?<\/a><\/li>\n<li><a href=\"#toc-2\">Examples of Overhead Rates<\/a><\/li>\n<li><a href=\"#toc-3\">Other Related Materials<\/a><\/li>\n<li><a href=\"#toc-4\">Chapter21: Cost Allocation and Performance Measurement<\/a><\/li>\n<li><a href=\"#toc-5\">1 Calculate Predetermined Overhead and Total Cost under the Traditional Allocation Method<\/a><\/li>\n<li><a href=\"#toc-6\">Example 2: Cost per Hour<\/a><\/li>\n<\/ul>\n<\/div>\n<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"257px\" alt=\"multiple overhead rates\"\/><\/p>\n<p>Label the rate so you know which activity you used to calculate each rate. The cost in the pools should represent activities having commonality of purpose. Are wages of forklift  operators who move finished goods from a central warehouse to the loading  dock classified as a variable cost, a fixed cost, or a mixed cost?<\/p>\n<p>In this document I will demonstrate how to approach this configuration in order to make a change in the cost process for one of the operations. It is easier for firms with a single product offering or for firms where all departments produce similar products or have uniform cost objects. Labor CostCost of labor is the remuneration paid in the form of wages and salaries to the employees. The allowances are sub-divided broadly into two categories- direct labor involved in the manufacturing process and indirect labor pertaining to all other processes. Indirect CostIndirect cost is the cost that cannot be directly attributed to the production. These are the necessary expenditures and can be fixed or variable in nature like the office expenses, administration, sales promotion expense, etc.<\/p>\n<h2 id=\"toc-0\">What is the rationale for the use of departmental rates rather than blanket rates?<\/h2>\n<p>That way when you go to apply the rates, you\u2019ll know to use machine hours and not something else. The calculation of the overhead rate has a basis on a specific period. So, if you wanted to determine the indirect costs for a week, you would total up your weekly indirect or overhead costs. You would then take the measurement of what goes into production for the same period.<\/p>\n<div style='border: black solid 1px;padding: 14px;'>\n<h3>Lithium-Ion (Li-Ion) Batteries Global Market Estimated To Grow At 15% Rate &#8211; EIN News<\/h3>\n<p>Lithium-Ion (Li-Ion) Batteries Global Market Estimated To Grow At 15% Rate.<\/p>\n<p>Posted: Fri, 28 Oct 2022 12:46:00 GMT [<a href='https:\/\/news.google.com\/__i\/rss\/rd\/articles\/CBMicWh0dHBzOi8vd3d3LmVpbm5ld3MuY29tL3ByX25ld3MvNTk4MjY1NDQ3L2xpdGhpdW0taW9uLWxpLWlvbi1iYXR0ZXJpZXMtZ2xvYmFsLW1hcmtldC1lc3RpbWF0ZWQtdG8tZ3Jvdy1hdC0xNS1yYXRl0gF1aHR0cHM6Ly93d3cuZWlubmV3cy5jb20vYW1wL3ByX25ld3MvNTk4MjY1NDQ3L2xpdGhpdW0taW9uLWxpLWlvbi1iYXR0ZXJpZXMtZ2xvYmFsLW1hcmtldC1lc3RpbWF0ZWQtdG8tZ3Jvdy1hdC0xNS1yYXRl?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p>Musicality uses this information to determine the cost of each product. For example, the total direct labor hours estimated for the solo product is 350,000 direct labor hours. With $2.00 of overhead per direct hour, the Solo product is estimated to have $700,000 of overhead applied. When the $700,000 of overhead applied is divided by the estimated production of 140,000 units of the Solo product, the estimated overhead per product for the Solo product is $5.00 per unit. The computation of the overhead cost per unit for all of the products is shown in Figure 6.4.<\/p>\n<h2 id=\"toc-1\">Which is the most scientific practical and accurate method of recovery of overhead?<\/h2>\n<p>Departmental overhead rates are used by many manufacturers to allocate manufacturing overhead to the goods it produces instead of using a single, plant-wide overhead rate. The reason <a href=\"https:\/\/simple-accounting.org\/multiple-overhead-rates\/\">multiple overhead rates<\/a> for departmental overhead rates is that manufacturers are likely to produce many diverse products which use different processes in different departments and each has different costs.<\/p>\n<ul>\n<li>If the company computes actual overhead rates more frequently to get around this problem, the rates may fluctuate widely due to seasonal factors or variations in output.<\/li>\n<li>Is considered to be a primary driver of overhead costs, and traditionally, direct labor hours or machine hours were used for it.<\/li>\n<li>Are the property taxes on a manufacturing plant classified as a variable cost, a fixed cost, or a mixed cost?<\/li>\n<li>If not, you\u2019ll have to manually add your indirect expenses to calculate your overhead rate.<\/li>\n<li>The overhead rate for the molding department is computed by taking the estimated manufacturing overhead cost and dividing it by the estimated machine hours.<\/li>\n<\/ul>\n<p>Therefore, it becomes somewhat difficult to find the rate, although it has been found that the multiple predetermined overhead rates are more accurate and prominent. Traditional Costing or the Peanut Butter Costing is a costing system that uses the single plant wide rate. The overhead rate for the product is determined by multiplying a single driver which is usually the direct labor cost to the plant wide rate. A company with low indirect costs will have a lower overhead rate, which makes it more competitive with other firms that must apply a larger amount of overhead cost to their products and services. If your product mix is more complex and customized, you may use multiple overhead rates to allocate costs more accurately. If one department is machine-intensive and another is labor-intensive, for example, multiple rates may be appropriate. The application of multiple overhead absorption rates depend on two factors viz., the degree of accuracy desired and the clerical cost involved.<\/p>\n<h2 id=\"toc-2\">Examples of Overhead Rates<\/h2>\n<p>Overhead MisledFutura Computer outsourced a \u201cmoney-losing\u201d product to a Korean firm for manufacturing. Its own manufacturing facility was retooled to produce extra units of a \u201cmore profitable\u201d product. Profits did not materialize, and losses grew to more than $20 million!<\/p>\n<ul>\n<li>The $61,000 of total costs are assigned to these three jobs using activity-based costing as shown in panel B at the bottom of Exhibit 21.4 (rates are taken from the second stage of Exhibit 21.3).<\/li>\n<li>A plantwide overhead rate is a single overhead rate used throughout a plant.<\/li>\n<li>Let&#8217;s say a company has overhead expenses totaling $500,000 for one month.<\/li>\n<li>The computation of the overhead cost per unit for all of the products is shown in Figure 6.4.<\/li>\n<li>For example, a Chicago-based manufacturer currently uses nearly 20 different activity cost drivers to assign overhead costs to its products.<\/li>\n<li>By definition, manufacturing overhead consists of costs that cannot be practically traced to jobs.<\/li>\n<\/ul>\n<p>The departmentalizing of manufacturing overhead costs allows for better planning and control if the head of each department is held responsible for the costs and productivity of his or her department. This allows for quicker decision-making with regards to keeping costs in line. It also makes it easier to identify trends leading to higher costs when compared to a method involving company-wide overhead rates. This flexibility can allow departments to allocate <a href=\"https:\/\/simple-accounting.org\/\">https:\/\/simple-accounting.org\/<\/a> costs more accurately. The single overhead absorption rate is not appropriate where there are number of departments in the factory and jobs do not spend an equal amount of time in each department. In some cases, all the jobs or units may not pass through all the departments, in a factory. It is a common absorption rate used throughout a factory and for all jobs and units of output irrespective of the departments in which they were produced or processed.<\/p>\n<h2 id=\"toc-3\">Other Related Materials<\/h2>\n<p>Is the work done by employees not directly involved in the manufacturing process, such as the supervisors\u2019 salaries or the maintenance staff\u2019s wages. Because these costs cannot be traced directly to the product like direct costs are, they have to be allocated among all of the products produced and added, or applied, to the production and product cost. Next, calculate the predetermined overhead rate for the three companies above. Even small business owners will benefit from knowing what their indirect costs are and how they impact the business. If you\u2019re using accounting software for your business, you can obtain this information directly from your financial statements or other system reports. If not, you\u2019ll have to manually add your indirect expenses to calculate your overhead rate.<\/p>\n<p>Also, it&#8217;s important to compare the overhead rate to companies within the same industry. A large company with a corporate office, a benefits department, and a human resources division will have a higher overhead rate than a company that&#8217;s far smaller and with less indirect costs. An\u200b activity-based costing system is considered more complex than using a single plantwide rate to allocate\u200b overhead, but an ABC system is also considered a more accurate way to allocate overhead costs. Which of the following is a disadvantage of the departmental overhead rate method?<\/p>\n<h2 id=\"toc-4\">Chapter21: Cost Allocation and Performance Measurement<\/h2>\n<p>The Ascent is a Motley Fool service that rates and reviews essential products for your everyday money matters. You may even want to reevaluate your current office\/warehouse space to see if it\u2019s still a good fit for your business. Evaluating utility costs may also be a good first step to reducing overhead. There are a lot of things you can do to lower your overhead rate, starting with a thorough examination of your monthly expenses.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"256px\" alt=\"multiple overhead rates\"\/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content What is the rationale for the use of departmental rates rather than blanket rates? Which is the most scientific practical and accurate method of recovery of overhead? Examples of Overhead Rates Other Related Materials Chapter21: Cost Allocation and Performance Measurement 1 Calculate Predetermined Overhead and Total Cost under the Traditional Allocation Method Example 2:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1133],"tags":[],"class_list":["post-4370","post","type-post","status-publish","format-standard","hentry","category-bookkeeping"],"_links":{"self":[{"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/posts\/4370"}],"collection":[{"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/comments?post=4370"}],"version-history":[{"count":1,"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/posts\/4370\/revisions"}],"predecessor-version":[{"id":4371,"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/posts\/4370\/revisions\/4371"}],"wp:attachment":[{"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/media?parent=4370"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/categories?post=4370"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agdmv.org\/wp-json\/wp\/v2\/tags?post=4370"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}