The University of Miami bookstore stocks textbooks in preparation for sales each semester. It normally relies on departmental forecasts and preregistration records to determine how many copies of a text are needed. Preregistration shows 85 operations management students​ enrolled, but bookstore manager Vaidy Jayaraman has second​ thoughts, based on his intuition and some historical evidence. Vaidy believes that the distribution of sales may range from 65 to 85 ​units, according to the following probability​ model: Demand   65 70 75 80 85 Stock 0.1 0.25 0.2 0.1 0.35 This textbook costs the bookstore $70 and sells for $95 Any unsold copies can be returned to the​ publisher, less a restocking fee and​ shipping, for a net refund o $30.   ​a) Based on the given​ information, Vaidy's conditional profits table for the bookstore​ is:   Demand       65 70 75 80 85   Stock 0.1 0.25 0.2 0.1 0.35   65 ? ? ? ? ?

Plot these forecasts AND the original demand data on graph paper or spreadsheet. Use a key to distinguish among your three lines. Please use the graph in the attached picture for the answer.

A shop is planning an order for a popular Christmas festive season product. Demand for the product usually starts from first week of December till first week of January and reduces sharply thereafter. For this reason, and to stimulate sales for leftovers, the product is sold at a significantly reduced price from the second week of January to the fourth week of January. Any leftover after the fourth week of January goes waste. The table below gives past data on total demand for the period from first week of December to first week of January, and from second week of January to fourth week of January, together with their respective chances of occurrence. The product can be purchased at a wholesale price of GHS60 per unit for a pack containing 600 products, GHS57 per unit for a pack containing 800 products, and GHS52 per unit for a pack containing 1000 products. The shop plans to sell the product for GHS80 per unit from first week of December to first week of January, and at a reduced…

Andrew Thomas, a sandwich vendor at hard rock café annual rockfest, created a table of conditional values for the various alternatives (stocking decision) and state of nature (size of crowd) Alternatives Large stock average stock small stock probabilities associated with states of nature are Big Big 35000 20000 10500 0.3 State of nature (demand) Average Small 15000 10000 8000 Average 0.5 determine the alternative that gives Andrew the greatest expected monetary value (EMV) compute the extpected value of perfect information (EVPI). Small -3000 5000 3000 0.2

Tasty Bread Company has monthly demand for one of its products as follows: March= 520; April=490; May=550; June=580; July=600; August=420. Compute the three-month moving average for July.

George has forecasted that annual demand for his sailboats in year 5 will equal 6,000 sailboats Based on the given data and using the multiplicative seasonal​ model, the demand level for​ George's sailboats in the spring of year 5 will be nothing sailboats ​(enter a whole ​number). Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

I came up with a different answer.  I cannot see where we have differences except I don't understand why you have T1's which are different.

If a​ 2-year moving average is used to make the​ forecast, the Mean Absolute Deviation based on this​ how many miles?

The University of Miami bookstore stocks textbooks in preparation for sales each semester. It normally relies on departmental forecasts and preregistration records to determine how many copies of a text are needed. Preregistration shows 85 operations management students enrolled, but bookstore manager Vaidy Jayaraman has second thoughts, based on his intuition and some historical evidence. Vaidy believes that the distribution of sales may range from 65 to 85 units, according to the following probability model: Demand Probability 65 0.10 Stock 70 0.30 65 This textbook costs the bookstore $82 and sells for $112. Any unsold copies can be returned to the publisher, less a restocking fee and shipping, for a net refund of $30. a) Based on the given information, Vaidy's conditional profits table for the bookstore is: 65 p=0.10 75 0.20 70 p=0.30 80 0.10 Demand 75 p=0.20 80 p = 0.10 85 p=0.30 85 0.30

A company wants to forecast demand using the weighted moving average. If the company uses three prior yearly sales values (i.e., the year 2014 = 155, the year 2015 = 140 and year 2016 = 170), and we want to weight the year 2014 at 30%, the year 2015 at 35% and year 2016 at 40%, which of the following is the weighted moving average forecast for the year 2017? 170 158 O 164 O 160