Shruti Speak's

1. A Short Introduction to Queueing Theory   Author :   Andreas Willig ,   Technical University Berlin ,   Telecommunication Networks Group   Publication Date : July 21, 1999   Book Excerpts:   This document is intended to be a short introduction to the field of queueing theory, serving as a module within the lecture   Leistungsbewertung von Kommunikationsnetzen   of   Prof. Adam Wolisz from the   Telecommunication Networks Group   at   Technical University Berlin . It covers the most important queueing systems with a single service center, for queueing networks only some basics are mentioned. This script is neither complete nor error free.   In this script most of the mathematical details are omitted, instead often "intuitive" (or better: prosaic) arguments are used. Most of the formulas are only used during a derivation and have no numbers, however, the important formulas are numbered. The author does not annotate all statements with a reference, since most of the

Basics of Operational Research Operations research (also referred to as decision science , or management science ) is an interdisciplinary mathematical science that focuses on the effective use of technology by organizations. In contrast, many other science & engineering disciplines focus on technology giving secondary considerations to its use. Employing techniques from other mathematical sciences — such as mathematical modeling, statistical analysis, and mathematical optimization — operations research arrives at optimal or near-optimal solutions to complex decision-making problems. Operations Research is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Operational research encompasses a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency. Some of the tools used by operational researchers are statistics, optimizatio

·       Linear programming or Allocation Models ·       Inventory Models ·       Waiting(or queuing) Models ·       Competitive(Game Theory) ·       Network Models ·       Sequencing Models ·       Replacement Models ·       Dynamic Programming Models ·       Markov-Chain Models ·       Simulation Models ·       Decision Analysis Models

Operations research (also referred to as decision science , or management science ) is an interdisciplinary mathematical science that focuses on the effective use of technology by organizations. In contrast, many other science & engineering disciplines focus on technology giving secondary considerations to its use. Employing techniques from other mathematical sciences — such as mathematical modeling, statistical analysis, and mathematical optimization — operations research arrives at optimal or near-optimal solutions to complex decision-making problems. Operations Research is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Operational research encompasses a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency. Some of the tools used by operational researchers are statistics, optimization, probability theory, queui

What is operations research? Explain the scope of OR.                                    [3] List the phases of OR and explain them.                                                           [3] Discuss the guideline of formulation of Linear Programming model and for         converting it into standard form?                                                                          [3]      Define the following:                                                                                         [3]             a.  Optimal solution.                    b. Unbounded solution. c.   Artificial variable.       5. A paper mill produces 2 grades of paper namely X and Y. Because of raw  material restrictions, it cannot produce more than 400 tonnes of grade X and 300            tonnes of grade Y in a week. There are 160 production hours in a week. It requires 0.2 and 0.4 hours to produce a ton of products X and Y respectively with corresponding profits of Rs.2