Operations Research In Development Sector

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Operations Research in Development Sector

This book analyzes the underlying theoretical principles of multi-objective linear programming problems with multi-choice parameters. It studies transportation problems on the same domain with extension to fuzzy stochastic criteria, and offers insights into sensitivity analysis through symmetric duality and complementarity using non-convex programming. These analytical presentations provide ample scope for researchers to contemplate real-world problems with an innovative vision. The formulation, analysis and solution procedures on inventory control models in the book use both deterministic and fuzzy parameters, and provide novel optimal inventory policies. The book discusses a wide range of optimal operational techniques for policy makers, government and private agencies in the fields of e-governance and agricultural crop insurance, which are crucial for developing countries. The recommendations address the gaps and remedies in various schemes that influence decision-making in the context of the economic development of such countries.
Handbook of Operations Research in Agriculture and the Agri-Food Industry

The scope of this book is Operations Research methods in Agriculture and a thorough discussion of derived applications in the Agri-food industry. The book summarizes current research and practice in this area and illustrates the development of useful approaches to deal with actual problems arising in the agriculture sector and the agri-food industry. This book is intended to collect in one volume high quality chapters on Methods and Applications in Agriculture and Agri-food industry considering both theoretical issues and application results. Methods applied to problems in agriculture and the agri-food industry include, but are not restricted to, the following themes: Dynamic programming Multi-criteria decision methods Markov decision processes Linear programming Stochastic programming Parameter estimation and knowledge acquisition Learning from data Simulation Descriptive and normative decision tree techniques, including: agent modelling and simulation, and state of the art surveys Each chapter includes some standard and traditional methodology but also some recent research advances. All the applications presented in the chapters have been inspired and motivated by the demands from the agriculture and food production areas.
Operational Research in War and Peace

This invaluable book provides an account of Operational Research in Britain, the country of its inception, from the late 1930s to 1970. Originating in response to the country's air defence needs against the Luftwaffe, Operational Research had outstanding achievements as part of the 'secret war' against Nazi Germany. After 1945, the discipline began to be adopted in an increasing range of industries and services. In the 1960s -- by which time it was being incorporated in to university curricula -- the discipline began to penetrate into civil government departments. The history of Operational Research provides unique insights into the conduct of modern warfare, the professionalisation of business management and the modernisation of the civil service. The chronological coverage, from the late 1930s to 1970, coincides with 'golden age' of Operational Research, when the discipline was presented as a means of achieving optimum solutions to complex managerial problems. The book will be of interest to military and business historians, as well as to historians of public administration and higher education.