For this individual assignment, you will use skills acquired through practical laboratory exercises to automate a business process, and to visualize the impact of the automation.
Fiction Life is a small second-hand book shop, run by a team of three sta? members: Albert, Bernita, and Chris.
For this assignment, you will complete the following set of tasks using Excel, and build an ePortfolio page to describe your work.
Calculates the projected annual outgoing costs of running Fiction Life.
Throughout the day, customers come to Fiction Life to buy books, and occasionally to sell them.
When people bring in books to sell to Fiction Life, the sta? member on duty will review the books and make an o?er for each one individually.
Currently, the process for determining how much the book shop will pay for a book is entirely subjective. Staff members offer an amount per book based on the quality of the book, and how popular they think it is, and how they are feeling at the time.
The sale amount is always simply double the amount paid and is set at the same time - if Fiction Life pays $3.00 for a book, they will put it on sale with a marked price of $6.00.
(Fiction Life does not deal in rare or antique books)
For several months, sta? have been keeping track of the date and time, quality, publication year and amount paid for each book in a spreadsheet. This spreadsheet is available for download on Moodle.
Process the history of purchases spreadsheet and use appropriate charts to visualize:
How the prices paid di?ered for each sta? member; and How the prices paid have changed over time
Create a spreadsheet page that automates the above process, allowing a member of the team to enter whether the book is hardcover, its publication year, and its condition, and receive a price to offer.
Ensure that you include enough text and formatting to make your spreadsheet usable by a member of the Fiction Life team, or by a University lecturer.
Your spreadsheet should be configured such that the Low, Medium and High prices can be varied easily.
The historical data you have available, determine sets of prices which meet the objectives of the following scenarios:
Scenario one: Total o?er prices are approximately the same as for the historical data
Scenario two: Assuming all books purchased are sold, allow all sta? to draw the same wage as Chris.
Reimplement Task 1 and Task 3 using either Python or HTML+JavaScript.
Write a brief overview of how to run your solution.
It is possible to attain full marks for this assignment without completing this challenge task.
Considering the operations of Fiction life, both Albert and Bernita work 2 and half hours a day for 3 days each, while Chris works 5 hours each day for 5 days in a week making a total of 25 hours each week. The total Annual wages for Chris sum up to $28,600, while the wages of the casual worker who stands in for Chris during his 4 week annual leave are $3,300. In addition, the total annual fixed costs are $2,900 whereas the annual utility costs are $1,680. Therefore the total outgoing costs for fiction life bookshop is $36, 480.
On average, Albert offered approximately $7.5 as the highest price for books that were in relatively good condition. Consequently, he offered a flat price of $2 for good condition books. However from the sales distribution, it is noted that Albert offered relatively high prices for hard cover books compared to paperback books.
Chris, who made the most purchases of the three workers, gave a higher price offer for books that were in relatively good condition for as high as $9.5 which were mostly hardcover and a lowest price offer of $4.
Elsewhere concerning books in relatively good condition Bernita offered the highest price offer for hardcover books at an average of up to $11.5 as well as the lowest price for paperback books which averaged at $1.8
Albert gave the highest price for poor condition books at $ 3 compared to other staff members who offered relatively lower prices in that category. He offered $0.5 as the lowest offer for poor condition books.
Chris offered $2.5 as the highest price for poor condition books and $1 as the lowest price for books in this category.
Bernita offered the lowest high price for poor condition books i.e. $2 as well as the lowest offer price of $0.4
Price difference visualization for terrible condition books
In as much as Albert gave the highest offer of up to $1 for terrible condition books, he is the only staff member who rejected some of the books.
Chris offered an average of $0.2 for terrible condition books; he however gave $0.5 on four books in this category.
Bernita offered a flat price of $0.2 on all books that were in terrible condition.
Averagely, Albert’s price offers have been showing a lessening trend mostly in a spiral form for books across all categories. The same trend is relatively true for Chris whose offer shows a diminishing trend for the various categories as well as Bernita’s. However Bernita and Chris’s offer for books in terrible condition is relatively constant over time.
In automating the system, once a book is brought by a customer, the staff member available determines the condition of the book and notes in the spreadsheet. Such that the book is rejected if it is in terrible condition, if it is 15 years and older it is categorized under poor otherwise it is in good condition i.e. if it 15 years or less from the current date. If in a poor condition, the staff member makes an offer of a low price. If it is in a good condition and 15 years or less, the staff member will then determines and enters its type. If it is a paperback book type a medium offer is made for the book, if it is hard cover a high price is offered for the book.
The total historical offer price is $1262. In order to set the price such that the total price is approximately the same as the historical price:
Multiplying with the number of books in each category and summing up, it totals to $1263.9 which is approximately equal to $1262.
In the historical data, Chris works a five hour day for 60 days, the wage is $22/hr. Therefore Chris is entitled to $6600. As such, the other two employees are also entitled to $6600 each. The total wages are thus $19800.
The python codes for reimplementation of tasks 1 and 2 follow the same structure as in the excel files, i.e. the formulas are defined in the python syntax using the pandas and xlwt libraries. Upon running the code, they generate the same results as in respective excel files except there are no formulas in the output.
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