Supply Chain Network Design: Understanding the Optimization behind Supply Chain Design Projects
Watson, Michael; Hoormann, Sara; Cacioppi, Peter; Jayaraman, Jay
Language: English
Published by CreateSpace Independent Publishing Platform, 2012
- Softcover
- Used

Seller: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.Goodwill of Greater Milwaukee and Chicago
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Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.
Seller Inventory # SEWV.1981277528.A
- Title
- Supply Chain Network Design: Understanding the Optimization behind Supply Chain Design Projects
- Author
- Watson, Michael; Hoormann, Sara; Cacioppi, Peter; Jayaraman, Jay
- Publisher
- CreateSpace Independent Publishing Platform
- Publication year
- 2012
- Condition
- acceptable
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1981277528
- ISBN 13
- 9781981277520
"Synopsis" may belong to another edition of this title.
From the Back Cover
—Dr. Mary C. Holcomb, Department of Marketing and Supply Chain Management, University of Tennessee
“Supply chain management (SCM) is a rapidly growing area of study—and network design is one of the fastest growing areas within SCM. I have been a long-time practitioner of network modeling, as a manager in business and as a consultant, and I have covered the topic in university lectures. I still learned a great deal about a subject I thought I knew thoroughly!”
—Bill Nickle, Principal, Nickle Consulting
“...the authors draw on their extensive expertise as practitioners to provide valuable insights into how to successfully execute a network design study.”
—Dr. Mike Hewitt, Kate Gleason College of Engineering, Rochester Institute of Technology
“Supply Chain Network Design will help students, academics, and practitioners alike understand the importance of successfully designing and optimizing a global supply chain network, while also explaining in easy-to-understand steps how to make it happen.”
—John A. Caltagirone, Quinlan School of Business, Loyola University
This book provides a complete foundation for building tomorrow’s most complex global supply chain models and using them to reduce costs and support business strategy. Drawing on their experience building and optimizing hundreds of supply chains, the authors thoroughly introduce each key concept and its modern scientific foundations and demonstrate its use through realistic case studies.
The authors offer specific solutions for a wide range of common challenges, including efficiently expanding a warehouse/plant network, managing the subtle interactions between capacity and service levels, and leveraging differences in cost and mode between inbound and outbound transportation. They also guide you in nuts-and-bolts planning and data collection and answering real-world questions such as: How do you build an effective supply chain modeling team? How do you quantify capacity? How accurate does your data need to be? How do you debug models and avoid common mistakes?
Using their techniques, many supply chain practitioners have reduced their costs by 5-15%—translating into tens of millions of dollars of savings. You can achieve comparable results—and this book is the place to start.
Use leading-edge network design techniques to:
· Select the right number, location, and size of warehouses, plants, and production lines
· Specify the right territories for each facility
· Optimize flow of all products through the supply chain
· Decide what to manufacture internally, where to make these products, which products to outsource, and which suppliers to use
· Manage crucial tradeoffs such as cost versus service level
· Integrate analytics more effectively throughout supply chain management
· Optimize regularly for even greater savings
Includes case studies and exercises that can be used with commercially available software.
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