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Question A- Linear Programming is most widely used technique for large number of applications in business industry as well as in various other fields. Describe in brief the steps involved in linear programming problem formulation with an example
Question B- Describe the steps involved in finding Initial Basic Feasible solution by the following methods:a. North West Corner Rule methodb. Matrix minimum methodc. Vogel's approximation method Question C- A Service store employs one cashier at its counter. 9 customers arrive on an average every 5 min while the cashier can serve 10 customers in 5 min. Assuming Poisson distribution for arrival rate also exponential distribution for service rate. Finda. Average number of customers in the systemb. Average number of customers in the queuec. Average time a customer spends in a systemd. Average time a customer waits before being served
Problems based on LPP when feasible region is a line segment or it does not exist. 1. Maximize z = 2x+3y subject to the constraints X + y ≤ 1 X + y ≥ 3 X, y ≥ 0
#what is the similarity and difference between transportation and linear programing models?
Goal Programming This provides a more realistic model. In a modern setting, profit maximization may not be the only objective of a business concern. Other objectives or goals c
Usefulness of Correlation 1.Correlation is very useful to economists to study the relationship between variables like price and quantity demanded. To businessmen it
Question 1 Explain Pre-Store opening activities and State at least 10 pre-store opening activities that should be ideally carried out in a retail store? Question 2 What ar
Other Determinants of Sample Size 1. The variability of elements within the population has become a very important factor to decide the sample size. The more v
Solve the following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
WHAT ARE THE SIGNIFICANCE OF OPERATION RESEARCH
Chi Square Test Goodness of Fit Chi square test can be used to find out how well the theoretical distribution fit with the empirical distribution of observed distribut
what are the classification of or model
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