OR Flashcards

1
Q

A branch of mathematics - specially applied mathematics, used to provide a scientific base for management to take timely and effective decisions to their problems.

A

Operation Research

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2
Q

Scope and Application of Operation Research

Operation Research is used for to for various activities which include scheduling, routing, workflow improvements, elimination of bottlenecks, inventory control, business processes re – engineering, site selection, or facility and general operational planning.

A

Manufacturing

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3
Q

The application of OR in revenue management entails first to accurately forecasting the demand, and secondly to adjust the price structure over time to more profitably allocate fixed capacity.Revenue Managemen

A

Revenue Management

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4
Q

OR helps in taking decisions that include the who, what, when, and where abstractions from purchasing and transporting raw materials and parts, through manufacturing actual products and goods, and finally distributing and delivering the items to the customers.

A

Supply Chain Management

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5
Q

In Financial markets, OR practitioners address issues such as portfolio,and risk management planning and analysis of customer service. They are widely employed in Credit Risk Management—a vital area for lenders needing to ensure that they find the optimum balance of risk and revenue. OR techniques are also applied in cash flow analysis and capital budgeting.

A

Financial Services

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6
Q

OR helps marketing manager in making the apt selection of product mix. It helps them in making optimum sales resource allocation and assignments.

A

Marketing Managemen

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7
Q

OR techniques are being applied widely in the functional area of Human Resource Management by helping the human resource managers in activities like manpower training, resource allocation and staffing and scheduling of training programs.

A

Human Resource Management

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8
Q

Types of Models used in Operation Research

To deal with specific types of problems, models like diagrams, charts, graphs and drawings are used. The schematic way of representation of significant factors and interrelationship may be in a pictorial form help in useful analysis. Moreover, they help in easy observation, description and prediction.

A

Physical Model

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9
Q

use letters, numbers, figures to represent decision variables of the system

A

Symbolic Model

Two types of Symbolic Models Verbal Models and Mathematical Models

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10
Q

Combined Analogue and Mathematical Mode

A

When analogue models are interpreted with the use of mathematical symbols, they can be termed as physical-symbolic models. For instance, decision-makers tend to use mathematical symbols to represent their sales or profit figures

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11
Q

Models which are used to represent a group of functions performed, are called function models.

A

Function Model

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12
Q

When intuition guides a problem-solver to find solutions, heuristic models are developed. Even though he would not be able to find an optimum solution to the problem, with his past experience he arrives at the most advantageous solution. However, it depends on how intuitive and creative the decision-maker is.

A

Heuristic Model

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13
Q

Module 1: Linear Programming

Linear Programming

  • Used to describe the relationship among two or more variables which are directly or precisely proportional.
A

Linear

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14
Q

The decisions which are taken systematically by adopting alternative courses of action.

A

Programming

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15
Q

BASIC REQUIREMENTS

: refers to any candidate (person, service, projects, jobs, tasks) competing with other decision variables for limited resources.

A

Decision Variables

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16
Q

The Linear Programming Problem must have a well-defined objective function to optimize the results. For instance, minimization of cost or maximization of profits.

A

Objective Function

17
Q

There would be limitations on resources which are to be allocated among various competing activities.

A

Constraints

18
Q

There must be presence of alternative solutions for the purpose of choosing the best or optimum one.

A

Alternative Courses of Action

19
Q

All variables must assume non-negative values.

A

Non-Negativity Restrictions:

20
Q

All relationships (objective function and constraints) must exhibit linearity i.e., relationship among decision variables must be directly proportional.

A

Linearity and Divisibility

21
Q

In Linear Programming it is assumed that all model coefficients are completely known. For example: profit per unit

A

Deterministic