Operations Management: Processes and Supply Chains (11th Edition)
Operations Management: Processes and Supply Chains (11th Edition)
11th Edition
ISBN: 9780133872132
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
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Chapter 8, Problem 1P

Demand for oil changes at Garcia’s Garage has been as follows:

Chapter 8, Problem 1P, Demand for oil changes at Garcia’s Garage has been as follows: Use simple linear regression

  1. Use simple linear regression analysis to develop a forecasting model for monthly demand. In this application, the dependent variable, Y, is monthly demand and the independent variable, X, is the month. For January, let X = 1 ; for February, let X = 2 ; and so on.
  2. Use time model to forecast demand for September, October, and November. Here, X = 9 , 10 , and 11, respectively.

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IM.82 A distributor of industrial equipment purchases specialized compressors for use in air conditioners. The regular price is $50, however, the manufacturer of this compressor offers quantity discounts per the following discount schedule: Option Plan Quantity Discount A 1 - 299 0% B 300 - 1,199 0.50% C 1,200+ 1.50% The distributor pays $56 each time it places an order with the manufacturer. Holding costs are negligible (none) but they do earn 10% annual interest on all cash balances (meaning there will be a financial opportunity cost when they put cash into inventory). Annual demand is expected to be 10,750 units. When there is no quantity discount (Option Plan A, the first row of the schedule listed above), what is the adjusted order quantity? (Display your answer to the nearest whole number.) 491 Based on your answer to the previous question, and based on the annual demand as stated above, what will be the annual ordering costs? (Display your answer to the…

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Operations Management: Processes and Supply Chains (11th Edition)

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