List – I (Type of Model) List – II (Basis of Categorization) (a) Analogue Model (i) Nature of environment (b) Descriptive Model (ii) Method of getting the solution (c) Deterministic Model (iii) Structure (d) Simulation Model (iv) Utility
Codes :
This section explains the correct matching between Operations Research (OR) model types listed in List – I and their bases of categorization in List – II.
Understanding the core concept of each OR model helps in determining its classification basis.
The pairings are:
Therefore, the correct code representing this matching is (a)-(iii), (b)-(iv), (c)-(i), (d)-(ii).
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