# Assgn Essay

697 Words3 Pages
Assignment 1 Problem 1 (This essay question refers to Chapter 1, the introduction of Operations Management). Many organizations offer a combination of goods and services to their customers. As you have learned in this chapter, there are some key difference between production of goods and delivery of services. What are the implications of these differences relative to managing operations? Problem 2 (This question from Chapter of Forecasting) National Mixer, Inc., sells can openers. Monthly sales for a seven-month period were as follows: Month Sales (000 units) –––––––––––––––––––––––––––––––– Feb. 19 Mar. 18 Apr. 15 May 20 Jun. 18 Jul. 22 Aug. 20 a. Plot the monthly data on a sheet of graph paper. 1) A linear trend equation. 2) A five-month moving average. 3) Exponential smoothing with a smoothing constant equal to .20, assuming a March forecast of 19(000). 4) The naïve approach 5) A weighted average using .60 for august, .30 for July, and, .10 for June. b. Forecast September sales volume using each of following: c. Which method seems least appreciate? Why? (Hint: refer to your plot from part a.) d. What does use of the term sales rather than demand presume? Problem 3 (This question from Chapter of Forecasting) The following data were collected during a study of consumer buying patterns. Observations x y Observations x y –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– 1……………………..15 74 8……………………..18 78 2……………………..25 80 9……………………..14 70 3……………………..40 84 10……………………15 72 4……………………..32 81 11…………………….22 85 5……………………...51 96 12…………………….24 88 6……………………...47 95 13…………………….33 90 7……………………...30 83 a. Plot the data. b. Obtain a linear regression line for the data. c. What percentage of the variation is explained by the regression line? d. Use the