Operations and Supply Chain Management 9th edition
Operations and Supply Chain Management 9th edition
9th Edition
ISBN: 9781119320975
Author: Roberta S. Russell, Bernard W. Taylor III
Publisher: WILEY
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Chapter 2, Problem 7.1ASC
Summary Introduction

Case summary:

M was originally a small car radio manufacturer in the 1920s. Since then it expanded into integrated circuits, paging systems, cellular phones, computers and wireless communication systems. At heart, M was an engineering company, however in the mid-1970s it shifted its focus from products to consumers. Following a goal of total customer satisfaction M is now known for its cutting-edge quality management systems.

In 1986, it devised the Six Sigma methodology. This method changed the measure of quality in the country. Ever since, Six Sigma has become the widely adopted standard measure of quality. Today Six Sigma has evolved from a measure into a comprehensive quality management system and has been implemented by most large corporations. M has reported over $17 billion in savings due to it.

The core focus of Six Sigma is to improve key processes in a company. This leads to drops in waste and cost, while improving quality, processes and customer satisfaction and loyalty and finally improving profitability.

To determine: What are some of the obstacles for a smaller company to implement a Six Sigma program? Are certain features and components of Six Sigma more applicable than others to a small company?

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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 2 Solutions

Operations and Supply Chain Management 9th edition

Ch. 2 - Prob. 13.1ASCCh. 2 - Prob. 1QCh. 2 - Prob. 2QCh. 2 - Prob. 3QCh. 2 - Prob. 4QCh. 2 - Prob. 5QCh. 2 - Prob. 6QCh. 2 - Prob. 8QCh. 2 - Prob. 9QCh. 2 - Prob. 10QCh. 2 - Prob. 12QCh. 2 - Prob. 13QCh. 2 - Prob. 14QCh. 2 - Prob. 15QCh. 2 - Prob. 17QCh. 2 - Prob. 21QCh. 2 - Prob. 22QCh. 2 - Prob. 23QCh. 2 - Prob. 24QCh. 2 - Prob. 25QCh. 2 - Prob. 26QCh. 2 - Prob. 27QCh. 2 - Prob. 28QCh. 2 - Prob. 29QCh. 2 - Prob. 30QCh. 2 - Most students live in a dormitory or apartment...Ch. 2 - Prob. 32QCh. 2 - Describe, in general, how the J.D. Power Circle...Ch. 2 - Select a product that you own (like a cell phone,...Ch. 2 - Prob. 35QCh. 2 - Prob. 36QCh. 2 - Prob. 37QCh. 2 - Prob. 38QCh. 2 - Prob. 39QCh. 2 - Prob. 40QCh. 2 - Prob. 41QCh. 2 - Prob. 42QCh. 2 - Prob. 43QCh. 2 - Prob. 44QCh. 2 - Prob. 45QCh. 2 - Prob. 47QCh. 2 - Prob. 48QCh. 2 - Prob. 49QCh. 2 - Prob. 50QCh. 2 - Prob. 51QCh. 2 - Prob. 55QCh. 2 - Prob. 56QCh. 2 - Prob. 57QCh. 2 - Prob. 60QCh. 2 - Prob. 61QCh. 2 - Prob. 67QCh. 2 - Prob. 68QCh. 2 - Prob. 1PCh. 2 - The Backwoods American company in Problem 2-1...Ch. 2 - Prob. 3PCh. 2 - In Problem 2-3, if the direct manufacturing cost...Ch. 2 - Prob. 5PCh. 2 - The Colonial House Furniture Company manufactures...Ch. 2 - Prob. 8PCh. 2 - Prob. 9PCh. 2 - Prob. 10PCh. 2 - Prob. 11PCh. 2 - Prob. 12PCh. 2 - Prob. 14PCh. 2 - Prob. 1.1CPCh. 2 - Prob. 2.1CPCh. 2 - Prob. 3.1CPCh. 2 - Prob. 3.3CPCh. 2 - Prob. 3.4CPCh. 2 - Prob. 3.5CPCh. 2 - Prob. 3.6CPCh. 2 - Prob. 3.7CPCh. 2 - Prob. 3.8CPCh. 2 - Prob. 4.1CP
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