This book takes a pedagogical approach that is participative and interactive, involving the case study method of learning. Chapters start with an Indian case study of a well known company. This is used as a capstone case for the chapter. The student will find this an easy learning experience as data and additional information for these enterprises is readily available. The selection of such cases makes classroom learning truly suited to the Indian business environment.The value driven approach to Operations Management is used in structuring the text into three modules. The first module discusses the infrastructure function of Operations Management. Infrastructure function is considered to be product, process, capacity and location. Module Two describes the structure of the operations function. This includes quality and other product transformation processes. Module Three focuses on the organization, people and processes i.e. the job, the work, and the workplace. In addition, most of the mathematical techniques have been separated into supplements attached to the relevant chapters. Software solutions for the techniques have been explained in the text. Every mathematical technique is exemplified with a number of solved problems. Unlike many Production and Operations Management texts, this book covers E-commerce, Industrial Safety, Maintenance, Environmental Management (Green Productivity) and new technological trends in the discipline. These sections should add to the significance of exploring how firms can gain competitive advantage and promote sustainable development at the same time. The last section of the book comprises of a selection of cases from The Indian Institute of Management at Ahmedabad. The cases encompass the entire spectrum of Indian Industry the private and the public sectors, professional and family managed business organizations, service and manufacturing industries, single industry and conglomerates. The cases relate to Operations Strategy, Supply Chain Management, Capacity Planning, New Products, Manufacturing Technologies, etc. The Case Studies are of world class. Prof. Tirupati, one of the authors of the case studies, according to Management Science, has penned one of the top 100 management articles in the 50 years.The book is comprehensive, lucid and easy to read and understand. It should be of great value both to students and faculty.

The volume contains 69 high quality papers presented at International Conference on Computational Intelligence and Informatics (ICCII 2017). The conference was held during 25-27, September, 2017 at Department of Computer Science and Engineering, JNTUHCEH, Hyderabad, Telangana, India. This volume contains papers mainly focused on data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing, and internet of things.

The Subject Operations Research Is A Branch Of Mathematics. Many Authors Have Written Books On Operations Research. Most Of Them Have Mathematical Approach Rather Than Decision-Making Approach. Actually The Subject Deals With Applied Decision Theory, So I Have Dealt With The Subject With Decision-Theory Approach. The Book Has Fifteen Chapters.The First Five Chapters Deal With Linear Programming Problems, Such As Resource Allocation Problem, Transportation Problem And Assignment Problem Both Maximization And Minimization Versions. In The First Chapter, The Historical Background Of Operations Research (O.R.) And Definition And Objective Of The Subject Matter Along With Model Building Is Discussed To Help The Learners To Have Basic Knowledge Of O.R. Typical Problems Of Mathematical Orientation And Decision Making Orientation Have Been Solved. In Transportation Model And In Assignment Model, Problems Useful To Production And Operations Management Have Been Solved To Make The Students To Know The Application Part Of The Subject.The Sixth Chapter Deals With Sequencing Model, Where The Importance And Application Of The Models Is Dealt In Detail. The Problem Of Replacement Is Discussed In Chapter-7. Inventory Model With Certain Topics Like Abc, Ved, Fsn, P-System And Q-System Is Discussed To Make The Students Aware Of The Importance Of Inventory Model.Chapter-9 Deals With Waiting Line Model And Its Application With Certain Useful Problems And Their Solutions. Game Theory Or Competitive Theory Is Discussed In Chapter-10 With Certain Problems, Which Have Their Application In Real World Situation.Dynamic Programming Is Dealt In Chapter-11. The Problems Worked Out Have Practical Significance. Chapter-12 Deals With Decision Theory Where The Usefulness Of Decision Tree Is Discussed. Non-Linear Programming Is Briefly Discussed In Chapter-14 With Certain Useful Problems. In Chapter -15, The Two Network Techniques I.E. Pert And Cpm Have Been Discussed With Typical Worked Out Examples.At The End Of The Book, Objective Type Questions, Which Are Helpful For Competitive Examinations Are Given To Help The Students To Prepare For Such Examinations.

This comprehensive book provides the students with the basic knowledge of the processes involved in operations research and discusses the techniques of solutions to problems and their applications in daily life. Beginning with an overview of the operations research models and decision-making, the book describes in detail the various optimization techniques such as linear and non-linear programming, integer linear programming, dynamic programming, genetic programming, and network techniques such as PERT (program evaluation review technique) and CPM (critical path method). It also explains the transportation and assignment problems, queuing theory, games theory, sequencing, replacement and capital investment decisions and inventory. Besides, the book discusses the Monte Carlo simulation techniques for solving queuing, demand forecasting, inventory and scheduling problems and elaborates on genetic algorithms. Each mathematical technique is dealt with in two parts. The first part explains the theory underlying the methodology of solution to problems. The second part illustrates how the theory is applied to solve different kinds of problems. This book is designed as a textbook for the undergraduate students of mechanical engineering, electrical engineering, production and industrial engineering, computer science and engineering and information technology. Besides, the book will also be useful to the postgraduate students of production and industrial engineering, computer applications, business administration, commerce, mathematics and statistics. KEY FEATURES : Includes a large number of solved problems to help students comprehend the concepts with ease. Gives step-by-step explanation of algorithms by taking problems. Provides chapter-end exercises to drill the students in self-study.

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