Sanjay Kumar

Green Supply Chain Management (GSCM) has been identified as an important research area in recent years. Green environmental issues have drawn an attention of researchers and Supply Chain (SC) practitioners at micro and macro level. Thirty six enablers to implement green supply chain management relevant to Indian manufacturing industry have been identified through extensive review of literature. Questionnaire based survey has been conducted to indicate the significance and ranking of identified enablers. With experts' opinions, identified thirty six enablers have been categorized in to eleven enablers based upon their nature. Contextual relationships among these ten enablers have been indentified to further partition the levels. Structural model of these factors has been formed using Interpretive Structural Modeling technique. Further, Classification of these enablers depending upon their driving and dependence power has also been carried out by using Matrice d'Impacts Croises-Multiplication Appliqu a un Classement (MICMAC) analysis. "International Environment Agreements" has been identified as most important enablers and pushing organizations to implement GSCM practices. This paper may play vital role to understand contextual relationships among the enablers to implement Green Supply Chain Management in Indian manufacturing industry.

The field of Animal Health Economics or Livestock Health Economics is still in the process of evolving and establishing itself. As a result, the concepts and terminology associated with this subject are not yet fully understood. The concepts and terms used in this field have been derived from various disciplines, such as veterinary epidemiology, economics, and statistics. The book will be beneficial for academics, researchers, and students who are interested in teaching and research in the area of livestock health economics/animal health economics/veterinary economics.

The emerging field of Animal Health Economics or Livestock Health Economics is still in the process of establishing itself, and as a result, the concepts and terminology associated with it are not yet fully understood. These concepts have been derived from various disciplines, including veterinary epidemiology, economics, and statistics. The book will be beneficial for academicians, researchers, and students who are interested in teaching and research in the field of livestock health economics, animal health economics, or veterinary economics.

Networking of personal computers and workstations is becoming commonplace in academic and industrial environments. A cluster of workstations provides engineers with a familiar, cost-effective environment for high performance computing. However, workstations often have no dedicated link and communicate slowly on a local area network (LAN), such as the Ethernet. Thus, to effectively harness the parallel processing or distributed computing capabilities of workstations, new algorithms need to be developed with a higher computation-to-communication ratio. Distributed Computer-Aided Engineering presents distributed algorithms for three fundamental areas: finite element analysis, design optimization, and visualization - providing a new direction in high performance structural engineering computing.