Features

• Demonstrates how a particular strategic planning issue can be effectively approached in a particular decision-making situation
• Discusses how to use a suitable quantitative technique or a suitable combination of two or more quantitative techniques
• Explores strategic planning issues and explains different decision-making situations for each of them
• Describes several quantitative techniques that are used in the strategic planning models presented in the book
• Covers how to use fuzzy logic, QFD, and method of total preferences to select markets with the most potential

Summary

The rapid technological development of new products, coupled with the growing consumer desire for the latest technology, has led to a new environmental problem: products that are discarded prematurely. But behind every problem lies an opportunity. Many of these products can be reprocessed, leading to savings in natural resources, energy, landfill space, and ultimately, time and money. Strategic Planning Models for Reverse and Closed-Loop Supply Chains addresses complex issues caused by the inherent uncertainty involved in every stage of a closed-loop supply chain.

The book presents quantitative models for the many multifaceted issues faced by strategic planners of reverse and closed-loop supply chains amid the challenges of uncertainty in supply rate of used products, unknown condition of used products, and imperfect correlation between supply of used products and demand for reprocessed goods.

The models proposed in this book provide understanding of how a particular issue can be effectively approached in a particular decision-making situation using a suitable quantitative technique or suitable combination of two or more quantitative techniques. This information then translates into decision-making strategies and guidance for reverse and closed-loop supply chain management.