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portada retail supply chain management: quantitative models and empirical studies
Type
Physical Book
Publisher
Year
2010
Language
English
Pages
340
Format
Paperback
Dimensions
23.4 x 15.6 x 1.8 cm
Weight
0.48 kg.
ISBN
1441946276
ISBN13
9781441946270

retail supply chain management: quantitative models and empirical studies

Stephen a. Smith (Illustrated by) · Narendra Agrawal (Illustrated by) · Springer · Paperback

retail supply chain management: quantitative models and empirical studies - Agrawal, Narendra ; Smith, Stephen A.

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Synopsis "retail supply chain management: quantitative models and empirical studies"

Retailing comprises about 40% of the U.S. economy, and is a major economic engine of the world economy. While the retail sector has always been very competitive, in recent years, the competitive nature of the field has increased dramatically. Customers too have become more exacting, demanding ever-increasing levels of service. Retailers have responded by increasing the variety of their products, becoming more price competitive, striving towards higher service levels, and utilizing advances in computing capabilities and information technologies to improve their supply chain efficiency. However, these developments have also greatly increased the complexity of managing the retail business environment. Consequently, most retailers have struggled to maintain profitability. Rigorous analytical methods have emerged as the most promising solution to many of these complex problems. Indeed, the retail industry has emerged as a fascinating choice for researchers in the field of supply chain management. In Retail Supply Chain Management, leading researchers provide a detailed review of cutting-edge methodologies that address the complex array of these problems. A critical resource for researchers and practitioners in the field of retailing, chapters in this book focus on three key areas: (1) empirical studies of retail supply chain practices, (2) assortment and inventory planning, and (3) integrating price optimization into retail supply chain decisions.

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