Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
12th Edition
ISBN: 9781259580093
Author: William J Stevenson
Publisher: McGraw-Hill Education
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Chapter 14, Problem 7P
Compute the takt time for a system where the total time per shift is 480 minutes, there is one shift, and workers arc given two 15-minute breaks and 45 minutes for lunch. Daily demand is 300 units.
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By selecting Cigna Accredo pharmacy that i identify in my resand compare the current feedback system against the “Characteristics of a Good Multiple Source Feedback Systems” described in section 8-3-3. What can be improved? As a consultant, what recommendations would you make?
Scenario
You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill.
Accurate forecasts are important for many reasons, including for the company to ensure they have the materials
they need to create the products required in a certain period of time. Your objective is to minimize the forecast
error, which will be measured using the Mean Absolute Percentage Error (MAPE) with a goal of being below 25%.
You have historical monthly sales data for the past year and access to software that provides forecasts based on
five different forecasting techniques (Naïve, 3-Month Moving Average, Exponential Smoothing for .2, Exponential
Smooth for .5, and Seasonal) to help determine the best forecast for that particular month. Based on the given
data, you will identify trends and patterns to create a more accurate forecast.
Approach
Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next…
Approach
Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next
month.
Remember to select the forecasting technique that produces the forecast error nearest to zero. For example:
a. Naïve Forecast is 230 and the Forecast Error is -15.
b. 3-Month Moving Forecast is 290 and the Forecast Error is -75.
c. Exponential Smoothing Forecast for .2 is 308 and the Forecast Error is -93.
d. Exponential Smoothing Forecast for .5 is 279 and the Forecast Error is -64.
e. Seasonal Forecast is 297 and the Forecast Error is -82.
The forecast for the next month would be 230 as the Naïve Forecast had the Forecast Error closest to zero with a
-15. This forecasting technique was the best performing technique for that month. You do not need to do any
external analysis-the forecast error for each strategy is already calculated for you in the tables below.
Naïve
Month Period
Actual
Demand
Naïve Forecast
Error
3-
Month
Moving
Forecast
3-
Month
Moving…
Chapter 14 Solutions
Loose-leaf for Operations Management (The Mcgraw-hill Series in Operations and Decision Sciences)
Ch. 14.S - Prob. 1DRQCh. 14.S - Prob. 2DRQCh. 14.S - Prob. 3DRQCh. 14.S - Prob. 4DRQCh. 14.S - Prob. 5DRQCh. 14.S - Prob. 6DRQCh. 14.S - Prob. 7DRQCh. 14.S - Prob. 8DRQCh. 14.S - Prob. 9DRQCh. 14.S - Prob. 10DRQ
Ch. 14.S - The probability that equipment used in a hospital...Ch. 14.S - The frequency of breakdown of a machine that...Ch. 14.S - Prob. 3PCh. 14 - Prob. 1DRQCh. 14 - Prob. 2DRQCh. 14 - Prob. 3DRQCh. 14 - Prob. 4DRQCh. 14 - Prob. 5DRQCh. 14 - Prob. 6DRQCh. 14 - Prob. 7DRQCh. 14 - Contrast push and pull methods ofmovi.ttg goods...Ch. 14 - Prob. 9DRQCh. 14 - Prob. 10DRQCh. 14 - Prob. 1TSCh. 14 - Prob. 2TSCh. 14 - Prob. 3TSCh. 14 - Prob. 1CTECh. 14 - Prob. 2CTECh. 14 - Prob. 1PCh. 14 - Prob. 2PCh. 14 - Prob. 3PCh. 14 - Determine the number of cycles per day and the...Ch. 14 - Given this set of daily service operations, and...Ch. 14 - Determine the number of cycles per day and a...Ch. 14 - Compute the takt time for a system where the total...Ch. 14 - Prob. 8PCh. 14 - Prob. 9PCh. 14 - What might Stephanie determine as the best...
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