Statement - II : Operation research is a quantitative commonsense embracing observation, experiment and reasoning.
This question asks to evaluate the correctness of two statements defining Operations Research (OR).
Statement I defines Operations Research as the application of scientific methods to study decision-making problems. It highlights the goal of providing a basis for achieving an optimum solution. This aligns precisely with the core principles of OR, which uses analytical and mathematical techniques to optimize complex systems.
Therefore, Statement I is correct.
Statement II describes Operations Research as a quantitative commonsense that involves observation, experiment, and reasoning. This description accurately captures the methodology of OR. It emphasizes the use of quantitative data and analysis (observation, experiment) combined with logical deduction (reasoning) to solve problems effectively. The term 'quantitative commonsense' suggests a rigorous, data-driven approach to finding practical solutions.
Therefore, Statement II is correct.
Since both Statement I and Statement II provide accurate descriptions of Operations Research, the correct option is the one stating that both are correct.
Option 2: Both (I) and (II) are correct.
A transportation problem with m origins and n destinations becomes a trans-shipment problem with
Match List I with List II
List I | List II | ||
A. | Markovian property | I. | Rule of determining the order in which members of the queue are selected to begin service |
B. | Waiting time in system | II. | The time of next arrival is completely uninfluenced by when the last arrival occurred |
C. | Steady state condition | III. | The queueing is in after operating for some time with a fixed utilisation factor less than one |
D. | Queue discipline | IV. | Elapsed time that an individual customer spends in queue, both before service and during service |
Choose the correct answer from the options given below:
Customers arrive at a reception counter at an average interval rate of 10 minutes and the receptionist takes an average of 6 minutes for one customer. The average queue length is:
The first and foremost important feature for a project to be successful is:
In Queuing Theory, statistical pattern by which customers arrive over a period of time, follows