The operating_costs.xlsx spreadsheet calculates the projected annual outgoing costs of running Tuxedo Spike. Input cells are in blue. Output includes total hours per week and year for each employee, as well as total projected costs.
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Task 1 The operating_costs.xlsx spreadsheet calculates the projected annual outgoing costs of running Tuxedo Spike Assumptions All employees work 52 weeks in a year. Each employee has 4 weeks paid leave i.e they are paid 52 weeks 3 casual replacements are expected to work for 4 weeks. Input Input cells are in blue. The spreadsheet is configured such that the working hours, hourly rates, and fixed and utility costs can be varied. Output The table below shows the total hours per week and year for each employee. Employee Total Hours Per Week Total Hours Per Year Arthur25.501,326.00 Bhaljeet15.00780.00 Cassandra25.501,326.00 Three casual replacements66.00264.00 The table below shows total projected costs at $109,096.00 Amount per annum Fixed costs$9,100.00 Utility costs$3,120.00 Salaries$96,876.00 Projected costs$ 109,096.00 Task 2
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Approach To determine the staff member allocated to each entry, the following steps were performed. Step 1: Determine actual Weekday -Column F calculates the actual weekday for each quote using excel formula, TEXT(quote date,"dddd") Step 2: Determine Actual Staff member - Arthur and Bhaljeet work together to manufacture tuxedos. Furthermore, Arthur works Monday to Wednesday, while Bhaljeet works Thursday to Friday. -Column F determines the actual staff member using a Nested IF function based on the specific days that Arthur and Bhaljeet work. Findings How some aspect of quoting or manufacturing has changed over time The graph below shows how quote and manufacturing prices are changing over the four months. This graph was created using Excel’s pivot chart function based on average amounts. 2018-06-08 2018-06-22 2018-07-06 2018-07-20 2018-08-03 2018-08-17 2018-08-31 2018-09-14 2018-09-28 0 50 100 150 200 250 300 Average of Manufacturing cost ($) Average of Quote amount Amount in $ From the graph we observe the following:-
Quoted costs are higher than manufacturing costs- this is expected as the company needs to make a profit and meet its annual projected costs. Both the quoted and manufacturing costs drop sharply towards the end of each month. How the quote amount differed for each staff member The graph below shows how the quoted amount differed for each staff member over the four months. This graph was created using Excel’s pivot chart function based on average prices. ArthurBhaljeet - 100.00 200.00 300.00 400.00 500.00 600.00 700.00 Cotton Leather Silk Tweed Wool Average Quote in $ From the graph we observe the following:- On average, quotes from Arthur are higher than Bhaljeet across all materials and sizes. Arthur prices leather higher than wool, whereas Bhaljeet does the opposite. Silk material is the most expensive Cotton material is the least expensive. Size XL prices are generally higher than other sizes.
Task 3 The approach used was to base the quote amount on historical price averages. Using Excels Pivot, a table was created to show the average price for each material and size. This information is summarized in the table below. Average price based on historical data LMSXLXSXXL Cotton80.8475.8476.6785.8764.588.32 Leather212.64206.3184.85179.89149.95227.21 Silk482.28338.67429.93556.04476.76628.13 Tweed218.975*230.05197.825*207.9165.6277.33 Wool141.21143.63151.95130.58122.39186.75 In the automation worksheet, the user inputs the size and material. Based on this, the average price is returned. For example the average price of a Leather Tuxedo in size S is $184.85. *Note there was no historical price information on Tweed material for sizes L and S. Therefore, an assumption has been made as below: For size L, the price was calculated as the average price of the Tweed size M and XL. i.e $218.98. For size S, the price was calculated as the average price of the Tweed size M and XS. i.e $197.83
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Task 4 Similar to Task 3, the prices were based on historical price averages. To determine the popular and unpopular items, Excel count function was used to assess the number of quotes received for each fabric and size. This information is summarized in the table below. Number of Orders based on historical data LMSXLXS XX LTotal Cotton887189555 Leather778711747 Silk46683633 Tweed21137 Wool11868191264 Total303127424333206 From the table, it is observed that Silk and Tweed materials had the least orders- these were classified as ‘unpopular’ fabrics across all sizes. Cotton, Leather and Wool were classified as ‘popular’ across all sizes. In the automation worksheet, the user inputs the size and material. Based on this, a quote is returned. In addition to the quote, the calculator also returns whether they should proceed to start manufacturing.