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A collection of exercises related to linear programming, a mathematical technique used for optimizing resource allocation and decision-making. The exercises cover various aspects of linear programming, including constraint formulation, objective function definition, and problem-solving techniques. These exercises are suitable for students studying operations research, management science, or related fields.
Typology: Assignments
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Supplier 123 Capacity 550 950 800
maximizes return and minimizes risk
x 3 C Units of product C on machine 3
28. Problem 9- Bay Oil produces two types of fuels (regular and super) by mixing three ingredients. The major distinguishing feature of the two products is the octane level required. Regular fuel must have a minimum octane level of 90 while super must have a level of at least 100. The cost per barrel, octane levels, and available amounts (in barrels) for the upcoming two-week period are shown in the following table. Likewise, the maximum demand for each end product and the revenue generated per barrel are shown. Develop and solve a linear programming model to maximize contribution to profit. Let^ R i =^ the^ number^ of^ barrels^ of^ input^ i^ to^ use^ to^ produce^ Regular, i=1,2, S i = the number of barrels of input i to use to produce Super, i=1,2, If required, round your answers to one decimal place. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)
29. Problem 15-7 (Algorithmic) Speedy Oil provides a single-server automobile oil change and lubrication service. Customers provide an arrival rate of 3.5 cars per hour. The service rate is 5 cars per hour. Assume that arrivals follow a Poisson probability distribution and that service times follow an exponential probability distribution.