Help Final case study Description Case studies are used to enable you to apply new concepts, use the tools you have mastered, and improve your technical skills

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Final case study

Description

Case studies are used to enable you to apply new concepts, use the tools you have mastered, and improve your technical skills you have attained. Through the individual case studies you will discover for yourself the usefulness of quantitative problem solving methods, how to apply them in practice, and their benefit to organizational decision-makers.

In this case study, you will act as a consultant for a company that crushes sunflower seeds to produce high quality refined sunflower oil for sale in the wholesale market. The company is looking for you to make a recommendation on the optimal blend of raw materials required for its next production cycle. You will use a number of decision analysis tools including time series forecasting, linear programming, and cost-profit-volume analysis to make the recommendation and provide analysis on the profitability of the company.

You will be required to submit a written report to management, and to include the spreadsheet models you used to generate price forecasts, optimize the raw material, and a perform the break-even analysis. All analysis should be done using Excel and the various models should be implemented on separate worksheets or in separate workbooks.

Scenario

TourneSol Canada, Ltd. is a producer of high quality sunflower oil. The company buys raw sunflower seeds directly from large agricultural companies, and refines the seeds into sunflower oil that it sells in the wholesale market. As a by-product, the company also produces sunflower mash (a paste made from the remains of crushed sunflower seeds) that it sells into the market as base product for animal feed.

The company has a maximum input capacity of 150 short tons of raw sunflower seeds every day (or 54,750 short tons per year). Of course the company cannot run at full capacity every day as it is required to shut down or reduce capacity for maintenance periods every year, and it experiences the occasional mechanical problem. The facility is expected to run at 90% capacity over the year (or on average 150 x 90% = 135 short tons per day).

TourneSol is planning to purchase its supply of raw sunflower seeds from three primary growers, Supplier A, Supplier B, and Supplier C. Purchase prices will not set until the orders are actually placed so TourneSol will have to forecast purchase prices for the raw material and sales prices for the refined sunflower oil and mash. The contract is written such that TourneSol is only required to commit to 70% of total capacity up front. Any amounts over that can be purchased only as required for the same price. Historical prices for the last 15 years are in the table below (note that year 15 is the most current year).

Historical Price Data

Marketing Year

Seed
Average Price Ind

David R. Anderson
University of Cincinnati

Dennis J. Sweeney
University of Cincinnati

Thomas A. Williams
Rochester Institute of Technology

Jeffrey D. Camm
University of Cincinnati

James J. Cochran
Louisianna Tech University

Michael J. Fry
University of Cincinnati

Jeffrey W. Ohlmann
University of Iowa

Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States

62345_00_fm_pi-xxvi.qxd 12/28/11 11:02 AM Page i

62345_00_fm_pi-xxvi.qxd 12/28/11 11:02 AM Page iv

This is an electronic version of the print textbook. Due to electronic rights restrictions,
some third party content may be suppressed. Editorial review has deemed that any suppressed
content does not materially affect the overall learning experience. The publisher reserves the right
to remove content from this title at any time if subsequent rights restrictions require it. For
valuable information on pricing, previous editions, changes to current editions, and alternate
formats, please visit www.cengage.com/highered to search by ISBN#, author, title, or keyword for
materials in your areas of interest.

Quantitative Methods for Business,
Twelfth Edition
David R. Anderson, Dennis J. Sweeney,
Thomas A. Williams, Jeffrey D. Camm,
James J. Cochran, Michael J. Fry,
Jeffrey W. Ohlmann

Vice President of Editorial, Business: Jack W.
Calhoun

Editor-in-Chief: Joe Sabatino

Senior Acquisitions Editor: Charles
McCormick, Jr.

Developmental Editor: Maggie Kubale

Editorial Assistant: Courtney Bavaro

Marketing Manager: Adam Marsh

Content Project Manager: Emily Nesheim

Media Editor: Chris Valentine

Manufacturing Planner: Ron J. Montgomery

Senior Marketing Communications
Manager: Libby Shipp

Production Service: MPS Limited, a
Macmillan Company

Sr. Art Director: Stacy Jenkins Shirley

Internal Designer: Michael Stratton/
cmiller design

Cover Designer: Craig Ramsdell

Cover Image: ©Tom Merton/Getty Images

Rights Acquisitions Specialist:
Amber Hosea

© 2013, 2010 South-Western, Cengage Learning

ALL RIGHTS RESERVED. No part of this work covered by the copyright
herein may be reproduced, transmitted, stored, or used in any form or
by any means graphic, electronic, or mechanical, including but not
limited to photocopying, recording, scanning, digitizing, taping, web
distribution, information networks, or information storage and
retrieval systems, except as permitted under Section 107 or 108 of the
1976 United States Copyright Act, without the prior written permission
of the publisher.

ExamView® is a regis




Help





Final case study 


Description

Case studies are used to enable you to apply new concepts, use the tools you have mastered, and improve your technical skills you have attained. Through the individual case studies you will discover for yourself the usefulness of quantitative problem solving methods, how to apply them in practice, and their benefit to organizational decision-makers.
In this case study, you will act as a consultant for a company that crushes sunflower seeds to produce high quality refined sunflower oil for sale in the wholesale market. The company is looking for you to make a recommendation on the optimal blend of raw materials required for its next production cycle. You will use a number of decision analysis tools including time series forecasting, linear programming, and cost-profit-volume analysis to make the recommendation and provide analysis on the profitability of the company.
You will be required to submit a written report to management, and to include the spreadsheet models you used to generate price forecasts, optimize the raw material, and a perform the break-even analysis. All analysis should be done using Excel and the various models should be implemented on separate worksheets or in separate workbooks.

Scenario

TourneSol Canada, Ltd. is a producer of high quality sunflower oil. The company buys raw sunflower seeds directly from large agricultural companies, and refines the seeds into sunflower oil that it sells in the wholesale market. As a by-product, the company also produces sunflower mash (a paste made from the remains of crushed sunflower seeds) that it sells into the market as base product for animal feed.
The company has a maximum input capacity of 150 short tons of raw sunflower seeds every day (or 54,750 short tons per year). Of course the company cannot run at full capacity every day as it is required to shut down or reduce capacity for maintenance periods every year, and it experiences the occasional mechanical problem. The facility is expected to run at 90% capacity over the year (or on average 150 x 90% = 135 short tons per day).
TourneSol is planning to purchase its supply of raw sunflower seeds from three primary growers, Supplier A, Supplier B, and Supplier C. Purchase prices will not set until the orders are actually placed so TourneSol will have to forecast purchase prices for the raw material and sales prices for the refined sunflower oil and mash. The contract is written such that TourneSol is only required to commit to 70% of total capacity up front. Any amounts over that can be purchased only as required for the same price. Historical prices for the last 15 years are in the table below (note that year 15 is the most current year).





Historical Price Data






Marketing Year




Seed
Average Price Ind




David R. Anderson
University of Cincinnati

Dennis J. Sweeney
University of Cincinnati

Thomas A. Williams
Rochester Institute of Technology

Jeffrey D. Camm
University of Cincinnati

James J. Cochran
Louisianna Tech University

Michael J. Fry
University of Cincinnati

Jeffrey W. Ohlmann
University of Iowa

Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States

62345_00_fm_pi-xxvi.qxd  12/28/11  11:02 AM  Page i



62345_00_fm_pi-xxvi.qxd  12/28/11  11:02 AM  Page iv

       This is an electronic version of the print textbook. Due to electronic rights restrictions,
some third party content may be suppressed. Editorial review has deemed that any suppressed
content does not materially affect the overall learning experience. The publisher reserves the right
to remove content from this title at any time if subsequent rights restrictions require it. For
valuable information on pricing, previous editions, changes to current editions, and alternate
formats, please visit www.cengage.com/highered to search by ISBN#, author, title, or keyword for
materials in your areas of interest.


www.cengage.com/highered



Quantitative Methods for Business,
Twelfth Edition
David R. Anderson, Dennis J. Sweeney,
Thomas A. Williams, Jeffrey D. Camm,
James J. Cochran, Michael J. Fry,
Jeffrey W. Ohlmann

Vice President of Editorial, Business: Jack W.
Calhoun

Editor-in-Chief:  Joe Sabatino

Senior Acquisitions Editor: Charles
McCormick, Jr.

Developmental Editor: Maggie Kubale

Editorial Assistant: Courtney Bavaro

Marketing Manager: Adam Marsh

Content Project Manager: Emily Nesheim

Media Editor: Chris Valentine

Manufacturing Planner: Ron J. Montgomery

Senior Marketing Communications
Manager:  Libby Shipp

Production Service: MPS Limited, a
Macmillan Company

Sr. Art Director: Stacy Jenkins Shirley

Internal Designer: Michael Stratton/
cmiller design

Cover Designer:  Craig Ramsdell

Cover Image: ©Tom Merton/Getty Images

Rights Acquisitions Specialist:
Amber Hosea

© 2013, 2010 South-Western, Cengage Learning

ALL RIGHTS RESERVED. No part of this work covered by the copyright
herein may be reproduced, transmitted, stored, or used in any form or
by any means graphic, electronic, or mechanical, including but not
limited to photocopying, recording, scanning, digitizing, taping, web
distribution, information networks, or information storage and
retrieval systems, except as permitted under Section 107 or 108 of the
1976 United States Copyright Act, without the prior written permission
of the publisher.

ExamView® is a regis

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