By Support


Select one of the case studies at the end of either chapter 7 or chapter 8. After reading the case study, respond to the questions in a 3-4 page paper.

The requirements below must be met for your paper to be accepted and graded:

  • Write between 750-1,000 words (approximately 3-4 pages) using Microsoft Word in APA style, see example below.
  • Use font size 12 and 1” margins.
  • Include cover page and reference page.
  • At least 80% of your paper must be original content/writing.
  • No more than 20% of your content/information may come from references.
  • Use at least three references from outside the course material, one reference must be from EBSCOhost. Text book, lectures, and other materials in the course may be used, but are not counted toward the three reference requirement.
  • Cite all reference material (data, dates, graphs, quotes, paraphrased words, values, etc.) in the paper and list on a reference page in APA style.


1Tires for You, Inc.Tires for  You,  Inc.  (TFY),  founded in  1987,  is an automotive repair shop specializing in replacement tires.  Located in  Altoona,  Pennsylvania,  TFY  has grown successfully over the past few years because of the addition of a new general manager, Ian Overbaugh. Since tire replacement is a major portion of TFY’s business (it also performs oil changes, small mechanical repairs, etc.), Ian was surprised at the lack of forecasts for tire consumption for the company. His senior mechanic, Skip Grenoble, told him that they usually stocked for this year what they sold last year.  He readily admitted that several times  throughout the season stockouts occurred and customers had to go elsewhere for tires. Although many tire replacements were for defective or destroyed tires, most tires were installed on cars whose original tires had worn out. Most often, four tires were installed at the same time. Ian was determined to get a better idea of how many tires to hold in stock during the various months of the year. Listed below is a summary of individual tire sales by month:

PERIOD                                                       TIRES USED

2014October                                                      9,797

November                                                         11,134

December                                                         10,687


January                                                              9,724

February                                                            8,786

March                                                                9,254

April                                                                10,691

May                                                                   9,256

June                                                                   8,700

July                                                                  10,192

August                                                              10,751

September                                                        9,724

October                                                             10,193

November                                                         11,599

December                                                          11,130

Ian has hired you to determine the best technique for forecasting TFY demand based on the given data.


  1. Calculate a forecast using a simple three-month moving average.
  1. Calculate a forecast using a three-period weighted moving average. Use weights of 0.60, 0.30, and 0.10 for the most recent period, the second most recent period, and the third most recent period, respectively

.3. Calculate a forecast using the exponential smoothing method. Assume the forecast for period 1 is 9,500. Use alpha = 0.40.

  1. Once you have calculated the forecasts based on the above data, determine the error terms by comparing them to the actual sales for 2012 given below:


PERIOD                                                     TIRES USED

2016January                                                  10,696

February                                                          9,665

March                                                            10,179

April                                                              11,760

May                                                                 9,150

June                                                                 9,571

July                                                                  8,375

August                                                          11,826

September                                                    10,696

October                                                        11,212

November                                                      9,750

December                                                      9,380


  1. Based on the three methods used to calculate a forecast for TFY, which method produced the best forecast? Why? What measures of forecast error did you use? How could you improve upon this forecast?