A Study on Fuzzy Inventory Models - K., Punniakrishnan;K., Kadambavanam
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The focus of this book is on understanding the structure of inventory models in a fuzzy environment and the techniques used to analyse the real life business problems in the world. Explanations are richly illustrated with numerous interesting and varied business oriented examples. The last chapter of this book is devoted to analyse the fuzzy inventory model with shortages in man power planning. Sensitivity analysis has been done on all the inventory models under study. The theoretical approach is illustrated by means of numerical examples. The variations of the results with those of the crisp…mehr

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Produktbeschreibung
The focus of this book is on understanding the structure of inventory models in a fuzzy environment and the techniques used to analyse the real life business problems in the world. Explanations are richly illustrated with numerous interesting and varied business oriented examples. The last chapter of this book is devoted to analyse the fuzzy inventory model with shortages in man power planning. Sensitivity analysis has been done on all the inventory models under study. The theoretical approach is illustrated by means of numerical examples. The variations of the results with those of the crisp model have been compared. The book is intended to serve as a text book for students of MBA/PGDBM,M.COM,CA,ICWA,M.PHIL.,who need to understand the basic concepts of inventory models in a fuzzy environment and apply them directly to the real life business problems. It also suits the requirement of students for M.A/M.SC(MATHEMATICS,STATISTICS,OPERATIONS RESEARCH), MCA, MIT, M.SC IT,CT,SS, B.E,M.E, B.TECH(COMPUTER SCIENCE),M.TECH.,AMIE who need both theoretical and practical knowledge of fuzzy inventory models.
Autorenporträt
The author completed his Ph.D., degree in Bharathiar University. He is having 32 years of teaching experience in U.G, P.G and research level. He has produced 41 M.Phil candidates. His broad field of research is analyzing optimization techniques in a Fuzzy Environment. His research articles are published in many International and National Journals.