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RMA stands for Reliability, Maintainability and Availability. This presentation targets the practitioner working basic quantitative Reliability, Maintainability, and Availability (RMA). The presentation’s sequence is: n1.tRMA concepts are described, and five central questions in RMA are stated to describe basic competencies in probabilistic RMA. n2.tEach central question is illustrated with an example, and each example is worked in Microsoft Excel. 3.tThree of the questions and associated exam
⏲ 33 min 9 sec ✓ 03-Jun-2018
Technology for Teachers and Students
⏲ 5 minutes 31 seconds 👁 259.2K
Kevin Stratvert
⏲ 11 minutes 23 seconds 👁 127.2K
In financial modeling, calculating fixed costs and variable costs involves identifying the costs that remain constant regardless of production or sales volume (fixed costs) and those that vary with production or sales volume (variable costs). Here's how you can calculate them:<br/><br/>Identify Fixed Costs:<br/><br/>Fixed costs are expenses that do not change with the level of production or sales. They remain constant within a certain range of activity.<br/>Examples of fixed costs include rent, salaries of permanent staff, insurance premiums, depreciation, and property taxes.<br/>To calculate fixed costs, review the company's financial statements and identify expenses that are consistent over time and not directly tied to production or sales volume.<br/>Calculate Variable Costs:<br/><br/>Variable costs are expenses that change in proportion to the level of production or sales. As production increases, variable costs also increase, and vice versa.<br/>Examples of variable costs include raw materials, direct labor, sales commissions, packaging costs, and shipping expenses.<br/>To calculate variable costs, you can use historical data to determine the variable cost per unit or the variable cost as a percentage of sales revenue.<br/>Segregate Mixed Costs:<br/><br/>Some costs may have elements of both fixed and variable components, known as mixed costs.<br/>To segregate mixed costs into their fixed and variable components, you can use techniques like the high-low method, scattergraph method, or regression analysis.<br/>The high-low method involves selecting the highest and lowest activity levels and corresponding costs and then calculating the variable cost per unit and the total fixed cost.<br/>Build a Financial Model:<br/><br/>Incorporate the calculated fixed costs and variable costs into your financial model.<br/>Use formulas or functions in spreadsheet software to represent fixed costs and variable costs in your model.<br/>For example, you can use the SUM function to aggregate fixed costs, while multiplying the variable cost per unit by the level of activity (e.g., units sold) to calculate variable costs.<br/>Sensitivity Analysis:<br/><br/>Conduct sensitivity analysis to assess the impact of changes in production or sales volume on total costs.<br/>By varying the assumptions related to fixed costs and variable costs, you can analyze how different scenarios affect the company's profitability and financial performance.<br/>By accurately calculating fixed costs and variable costs in your financial model, you can better understand cost structures, conduct scenario analysis, and make informed decisions regarding pricing, production levels, and resource allocation.
⏲ 3:17 👁 45K
Leila Gharani
⏲ 5 minutes 42 seconds 👁 331K
Corporate Finance Institute
⏲ 19 minutes 23 seconds 👁 265.4K
Forecasting sales-based expenses involves predicting the expenses that are directly tied to the level of sales a business generates. These expenses typically include costs such as commissions, advertising, marketing, and sometimes production costs that vary directly with sales volume. Here's a step-by-step guide on how to forecast sales-based expenses:<br/><br/>Understand Historical Data: Review historical sales data and corresponding expenses to identify patterns and trends. Look for correlations between sales volumes and related expenses.<br/><br/>Identify Key Drivers: Determine the key factors that drive sales-based expenses. This could include sales volume, market trends, promotional activities, seasonality, and any other factors that directly impact expenses.<br/><br/>Develop Sales Forecasts: Generate sales forecasts based on a combination of historical data, market research, industry trends, and internal factors such as marketing strategies and sales projections. Use quantitative methods like time-series analysis, regression analysis, or qualitative methods like expert opinions and market research to forecast sales.<br/><br/>Estimate Expense Ratios: Calculate expense ratios by analyzing historical data to determine the percentage of sales that each expense category typically represents. For example, if historically marketing expenses have been 10% of sales, you can use this ratio to estimate future marketing expenses based on forecasted sales.<br/><br/>Adjust for Changes: Consider any changes in business operations, market conditions, or other factors that may impact sales-based expenses. Adjust your expense ratios accordingly to reflect these changes in your forecasts.<br/><br/>Review and Refine: Regularly review and refine your forecasts based on actual sales performance and expenses. Compare your forecasts to actual results and identify any discrepancies. Use this information to improve the accuracy of future forecasts.<br/><br/>Scenario Analysis: Conduct scenario analysis to assess the potential impact of different sales scenarios on expenses. This allows you to prepare for various outcomes and make informed decisions based on different sales projections.<br/><br/>Communication and Collaboration: Ensure collaboration between sales, marketing, finance, and other relevant departments to gather insights and validate assumptions. Effective communication helps in aligning expectations and improving the accuracy of forecasts.<br/><br/>By following these steps and employing both quantitative and qualitative methods, businesses can develop more accurate forecasts for sales-based expenses, enabling better financial planning and decision-making.
⏲ 4:22 👁 50K
The Organic Chemistry Tutor
⏲ 10 minutes 18 seconds 👁 176.1K
Kenji Explains
⏲ 14 minutes 20 seconds 👁 173.5K
In financial modeling, the costs of being wrong can be significant and can impact various aspects of a business. Here are some potential consequences:<br/><br/>Misallocation of Resources: If financial models are inaccurate, it can lead to misallocation of resources. For example, if a company overestimates future sales, it may invest too much in production capacity, inventory, or marketing, leading to excess costs and reduced profitability. Conversely, underestimating sales may result in lost opportunities for growth.<br/><br/>Strategic Errors: Financial models often inform strategic decisions such as pricing strategies, product development initiatives, or expansion plans. If these models are flawed, it can lead to strategic errors that may harm the company's competitiveness or long-term viability.<br/><br/>Impact on Investor Confidence: Investors rely on financial models to assess the performance and valuation of companies. Inaccurate or unreliable financial projections can erode investor confidence and lead to reduced access to capital or higher borrowing costs.<br/><br/>Regulatory Compliance Issues: Inaccurate financial reporting resulting from flawed financial models can lead to regulatory compliance issues and potential penalties from regulatory authorities. This can damage the company's reputation and lead to legal liabilities.<br/><br/>Loss of Stakeholder Trust: Inaccurate financial models can undermine trust and credibility with stakeholders such as customers, suppliers, employees, and partners. This can have long-lasting consequences on relationships and business partnerships.<br/><br/>Operational Disruptions: Inaccurate financial forecasts can lead to operational disruptions, such as inventory shortages or production bottlenecks, if the company fails to adequately plan for future demand or supply needs.<br/><br/>Wasted Time and Effort: Developing and maintaining financial models requires significant time, effort, and resources. If these models are inaccurate or unreliable, it can result in wasted time and effort spent on troubleshooting, revising, or rebuilding the models.<br/><br/>Missed Opportunities: Inaccurate financial forecasts may cause companies to miss opportunities for growth, innovation, or cost savings. For example, if a company underestimates future demand for a product, it may fail to invest in sufficient production capacity or miss out on opportunities to capture market share.<br/><br/>To mitigate the costs of being wrong in financial modeling, companies should invest in robust data analysis, model validation, and scenario analysis. They should also foster a culture of transparency, accountability, and continuous improvement to ensure that financial models are regularly reviewed, updated, and refined to reflect changing market conditions and business dynamics. Additionally, companies should seek input from various stakeholders and subject matter experts to improve the accuracy and reliability of their financial models.
⏲ 4:19 👁 50K
Stephanie Powers
⏲ 6 minutes 10 seconds 👁 39.2K
AbcSupplyChain
⏲ 15 minutes 2 seconds 👁 12.8K
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