Optimization and Logistics Challenges in the Enterprise

In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified. In order for many industries to survive and succeed, they need to develop highly effective coordination between supply chain partners, dynamic collaborative and strategic alliance relationships, and efficient logistics and supply chain network designs. Consequently, in the past decade, there has been an explosion of interest among academic researchers and industrial practitioners in innovative supply chain and logistics models, algorithms, and coordination policies. Mathematically distinct from classical supply chain management, this emerging research area has been proven to be useful and applicable to a wide variety of industries. This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise.

Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap  from mathematical modeling and optimization techniques, to  practical solutions of enterprise operations. Mathematically distinct from classical supply chain management, this burgeoning research area has proven to be useful and applicable to a wide variety of industries; for example,  pharmaceutical, chemical, transportation, and shipping, to name a few.  This book consists of high quality research results and may serve as a "one-stop shop" to learn about several industrial problems and logistics challenges, and solution techniques using recent advances in computational optimization.

This work is intended for practitioners from industry who use techniques from a wide range of fields: mathematical programming, supply chain and logistics management, and process systems and operations engineering.  It will also be of value to advanced graduate and PhD students and researchers in operations research, systems engineering, and management science.