Purchasing and Supply Chain Management
Purchasing and Supply Chain Management
6th Edition
ISBN: 9781285869681
Author: Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson
Publisher: Cengage Learning
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Chapter C, Problem 5.2SA
Summary Introduction

To explain: The Institute of Supply Management (ISM) ethics code mention accepting favors and gifts from suppliers.

Case summary:

Person BJ was just arriving back from lunch when the phone ran in which his wife explained about a clock being gifted to their home. Person BJ asked his wife Person N to repack the clock as it was sent by a supplier who was looking to win the contract from the company Person BJ is working in.

Purchasing ethics:

Purchasing professionals are a vital asset to an organization. The process involved in purchasing items for a company is vital for its success. A strict code of ethics is essential for the purchasing department to ensure that all vendors are treated equally.

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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…
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