Operations Research: Problems & Solutions (3/e)

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This revised edition elucidates the key concepts and methods of operations research. It aims to supplement textbooks on Operations Research (OR) and upgrade student’s knowledge and skills in the subject. Salient features • Updated and suffused with numerous and varied solved examples to provide integrated view of theory and applications of operations research. • Self-practice unsolved problems at the end of each chapter. • Sufficient hints and answers to unsolved problems to enable students learn at their own pace. • Complete conformity to the latest trend of questions, appearing in universities and professional examinations. This book meets the requirement of students pursuing MBA/PGDM, BCom (Hons), MCom, CA, ICWA, BBA, BIS/BIT, BCA, AMIE courses. It helps them understand the basic concepts of OR and the application of their results in real-life business problems.

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Professor J K Sharma formerly, Professor, Faculty of Management Studies, University of Delhi, has more than 30 years of teaching experience in Operations Research, Business Statistics, Mathematics and Supply Chain Management. He has authored 17 books, which have been widely appreciated by students of undergraduate and postgraduate classes of all the Indian University/Management Institutes, and has also written more than 100 research papers and case studies. Professor Sharma is actively involved in guiding doctoral students, and is also involved in conducting Management Development Programmes for both the public and the private sectors. His research interest is in the application of operations research in the functional areas of management and hospital administration. He has been a Visiting Professor at Group ESSEC (A Graduate School of Management) in France during 1992-93. Table of Contents Operations Research: An Introduction • Linear Programming: Model Formulation • Linear Programming: Graphical Solution Method • Linear Programming: Simplex Method • Revised Simplex Method • Dual Simplex Method • Bounded Variables LP Problems • Duality in Linear Programming • Sensitivity Analysis • Parametric Linear Programming • Integer Linear Programming • Goal Programming • Transportation Problem • Assignment Problem • Decision Theory and Decision Tree Analysis • Theory of Games • Project Management: PERT and CPM • Inventory Control • Queuing Theory • Replacement and Maintenance Models • Markov Chains • Simulation • Sequencing Problem • Information Theory • Dynamic Programming • Non-Linear Programming Methods Appendix