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Operational research is a discipline of framework for making models to get solutions. It tries to find best solution of given problem. Operational research is responsible for production of goods and services.
Organization:It refers to the firm or society in which problems occurs. This organization may be a group of employees, a government branch or may be a corporation or household.
Decision maker:A decision maker may be a group of people or an individual which is able to propose or implement the necessary actions.
Analyst:The analyst must have special skills in data collection, modeling, computer implementation and mathematics. Analyst is main decision maker throughout the operational process.
Operational research involves following steps to implement the problem:
Problem Re-organization:The problem may be in abstract or real form. It includes operations and proposed expansions.
Problem formulation:This is initial analytical step of solution process. At this stage metrics for measuring progress, data requirements, alternatives for action, appropriate assumptions, objective statements and constraints on solution are introduced.
Model Construction:A mathematical model is a collection of functional relationships by which allowable actions are delimited and evaluated .A model is always abstracted into simpler form to get optimal solutions.
Procedure Establishment:Procedure designing is done to retain control of implementation efforts. Solutions are converted into procedures.
Solution Implementation:Solution is implements through problem formulation, procedure establishment and solution testing methods.
Basic phraseology in OR:
OR Process:OR process is encapsulation of all above steps.
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Linear Programming, Visualizing Process, Outcome Data, Statistical Process Control , Problem Solving and Decision Making, Qualitative analysis, Quantitative analysisModel Development, Data Preparation, Model Solution, Introduction to Linear Programming,The Graphical Solution of Two-Variable Linear Programming Problems
Treatment of Special cases, General algebraic approach,Solving linear systems equations, Simplex algorithm,Sensitivity analysis of optimization and other problems,Integer Programming,The Branch-and-Bound Methods for Solving Mixed Integer Programming Problems,Network Models
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Evaluating the sensitivity to changes in activity durations, Dynamic programming, principles of dynamic programming, recursion equations, Inventory control, Economic order quantity model and its variants, Wagner-Whiting dynamic model, Linear and Integer Programming, Assumptions of LP/IP models, Geometry of LPs and the graphical solution of 2-dimensional LPs, Simplex method, standard form of LPs
phase 2 of simplex method, sensitivity analysis, Simulation modelling Pseudo-random numbers and their generation, Generation of non-uniform random variables by inversion. algebraic and tabular forms, Post-optimality analysis, Dual simplex method and parametric LP, Transportation and assignment problems, Network problems, Integer programming, Queuing Theory, Simulation, Game Theory, Assignment Problem, Transportation Problem, Project evaluation and review technique and Critical path, Simplex, Inventory management
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