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Q1. a. What do you mean by linear programming problem? Explain the steps involved in linear programming problem formulation?
b. A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper in a week. There are 160 production hours in a week. It requires 0.20 and 0.40 hours to produce a ton of grade X and Y papers. The mill earns a profit of Rs. 200 and Rs. 500 per ton of grade X and Y paper respectively. Formulate this as a Linear Programming Problem. 5 +5 = 10 marks (200 - 250 words each)
Scope of the OR techniques can be derived in followings various importance fields: 1. In Agriculture : With the explosion of population and consequent shortage of food O
Tentative explanations when formulated as propositions are called hypotheses. It is very important to state the hypothesis and its anticipated consequences before star
Preparation of visual Aids ,Handouts and Feedback Forms It is always better to prepare visual aids much in advance of the presentation. Leaving them for the last mo
#questionthe following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0 ..
Rank Methods Spearman s When the variables under consideration are not capable of quantitative measurement but can be arranged in serial order( ranks) we find correla
impact of sequencing problem
QUESTION Discuss the major sources of stress and job burnout and outline the strategies for managing stress. QUESTION How can you use the „Johari Window Model? as a
Overhead Projector Overhead projector casts an images of the transparencies on a screen. Transparencies are frequently used visual aids especially when audience
Line Balancing Methods - Heuristic Approach Heuristic mean serving to find i.e. to find out discover things for oneself. Heuristic describes a particular approach to problem so
Z-Test Prof. Fisher has given a method of testing the significance of the correlation coefficient in small samples. According to this method the coefficient of correlation
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