New Features:

• New and expanded coverage of integrative supply chain management practices - An expanded treatment of collaborative practices in supply chain integration and expanded treatment of the challenges integrating management across the supply chain.
• A new chapter, Integrated Operations Planning (Chapter 6) has been added to provide additional coverage of supply chain planning; applications; sales and operations planning (S&OP); collaborative planning, forecasting, and replenishment (CPFR); and forecasting.
• Vast coverage of the most current technology in this industry such as Information Networks, Enterprise Resource Planning and Decision Support Systems. This assures that students are fully trained on the use of these technologies and better prepared to manage these systems upon entering the industry.

Retained Features:

• MSU Loga-Simulation - This unique simulation stresses a complete range of supply chain decisions, enabling the students to become familiar, in a practical way, with all stages of supply chain decisions that they will encounter as practitioners.
• Well-respected authorship; Don Bowersox is a well-published author and researcher. He is acknowledged as one of the leading authorities on logistics. David Closs' research in logistics is also well respected, he also has extensive consulting experience and is a roundtable officer of the Council of Logistics Management, Bixby Cooper is the co-author of Marketing Channels along with Bowersox and is very visible as a member of various logistics professional organizations.
• Unique Balanced Approach - Because of the unique blend of supply chain and logistics topics, students are afforded a realistic and thorough understanding of both procurement and distribution issues with equal balance, which is not available in other textbooks.
• Extensive integration of spreadsheet-based solution methods in the text and problem material, for example: Use of Excel Solver to solve linear programming problems and reciprocal cost allocation problems; Use of Excel regression to solve linear regression problems; Use of spreadsheets to perform sensitivity analysis in cost-volume-profit analysis and to prepare process cost reports. Actual Excel screens are used to illustrate the use of the methods to make it easier to replicate the examples and problems, following the illustrated Excel commands.