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Linear Programming -Formulation || Linear Programming - Graphical Method || Linear Programming -Simplex Method || Assignment Problems || Transportation Problems || Critical Path Method - Drawing Network || Pert || Crashing, Resource Allocation And Smoothing || Simulation || Learning Curve Theory || Appendix || Important Theoretical Questions ||
Jit S Chandan Is A Professor Of Management In The Department Of Business Administration At Medgar Evers College, City University Of New York. He Previously Taught At New York Institute Of Technology And At Baruch College, City University Of New York In The Areas Of Management, Organizational Behaviour And Quantitative Methods. He Has Been Teaching At The College Level For The Last 37 Years. Dr Chandan Holds A Doctorate From Delhi University, Faculty Of Management, And Has Authored Many Textbooks And Published Many Articles In Professional Journals. Some Of His Books Published By Vikas Include Fundamentals Of Modern Management , Management: Theory And Practice , Business Statistics , Essentials Of Linear Programming , Statistics For Business And Economics , And Management: Concepts And Strategies .
Operations Research: A Practical Introduction is just that: a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management. The text accomplishes two goals. First, it provides readers with an introduction to standard mathematical models and algorithms. Second, it is a thorough examination of practical issues relevant to the development and use of computational methods for problem solving. Highlights: All chapters contain up-to-date topics and summaries A succinct presentation to fit a one-term course Each chapter has references, readings, and list of key terms Includes illustrative and current applications New exercises are added throughout the text Software tools have been updated with the newest and most popular software Many students of various disciplines such as mathematics, economics, industrial engineering and computer science often take one course in operations research. This book is written to provide a succinct and efficient introduction to the subject for these students, while offering a sound and fundamental preparation for more advanced courses in linear and nonlinear optimization, and many stochastic models and analyses. It provides relevant analytical tools for this varied audience and will also serve professionals, corporate managers, and technical consultants.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
This edited volume is an introduction to diverse methods and applications in operations research focused on local populations and community-based organizations that have the potential to improve the lives of individuals and communities in tangible ways. The book's themes include: space, place and community; disadvantaged, underrepresented or underserved populations; international and transnational applications; multimethod, cross-disciplinary and comparative approaches and appropriate technology; and analytics. The book is comprised of eleven original submissions, a re-print of a 2007 article by Johnson and Smilowitz that introduces CBOR, and an introductory chapter that provides policy motivation, antecedents to CBOR in OR/MS, a theory of CBOR and a comprehensive review of the chapters. It is hoped that this book will provide a resource to academics and practitioners who seek to develop methods and applications that bridge the divide between traditional OR/MS rooted in mathematical models and newer streams in 'soft OR' that emphasize problem structuring methods, critical approaches to OR/MS and community engagement and capacity-building.
This book is an ideal resource on the subject of systems practice for busy managers whose time is scarce. It provides a rapid introduction to straightforward, yet powerful ideas that enable users to address real world problems. Systems theory and practice is predominantly a framework for thinking about the World, in which holistic views are maintained. In this respect it contrasts with some familiar techniques of management science, in which problem situations are broken down into their constituent parts with resultant loss of coherence.
Katja Nothnagel evaluates the growing body of empirical research in resource-based theory. She starts out by deriving six central propositions and then examines how these propositions have been tested empirically. The results suggest that substantial progress has been made within the empirical part of RBT
Risk management in supply chain logistics has moved from being a nice-to-have to a necessity due to the number of variables that can cripple a business. Managing Supply Chain Risk: Integrating with Risk Management details the critical factors involved in managing supply chain risk. It discusses how managing supply chain risk can be integrated into