Practical Management Science
6th Edition
ISBN: 9781337406659
Author: WINSTON, Wayne L.
Publisher: Cengage,
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Chapter 4, Problem 129P
a)
Summary Introduction
To explain: The data that is required as inputs for the model.
Linear programming:
It is a mathematical modeling procedure were a linear function is maximized or minimized subject to certain constraints. This method is widely useful in making a quantitative analysis which is essential for making important business decisions.
b)
Summary Introduction
To explain: The objective functions for this model.
Linear programming:
It is a mathematical modeling procedure were a linear function is maximized or minimized subject to certain constraints. This method is widely useful in making a quantitative analysis which is essential for making important business decisions.
c)
Summary Introduction
To explain: The constraints required for the model.
Linear programming:
It is a mathematical modeling procedure were a linear function is maximized or minimized subject to certain constraints. This method is widely useful in making a quantitative analysis which is essential for making important business decisions.
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(d) A company has three factories. Each factory produces three different products (A, B and C).
Factory 1 has a daily production capacity production of 8 units of A, 4 units of B and 8 units
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(iv)
(v)
Identify the entering, departıng and pivot variables.
Use the simplex method to determine the optimal tableau. Ensure that you explain
each step in the computation.
Identify the basic and non-basic variables.
(vii) Identify the optimal solution.
(vi)
Chapter 4 Solutions
Practical Management Science
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