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Samenvatting M&S4

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  • November 1, 2022
  • 11
  • 2022/2023
  • Summary
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M&S4
Workshop 1
Linear programming (LP) problem
- Maximizing or minimizing a linear goal function subject to linear
constraints
- How to allocate limited resources among competing activates in a best
possible way

Elements of a LP problem
- Decision variables  x1/x2 (what units to change to reach objective?)
- Objective function  maximize profit (goals of problem)
- Constraints  restrictions

Steps
1. Determine the variables
2. Formulate the objective
3. Write the constraints
4. Solve the LP problem


Terminology solutions
- Feasible solution
 All constraints are satisfied
- Optimal solution
 Feasible solution with most favorable value of the objective (always
a corner point)
- Corner-point feasible solution (CPF)
 Solution at the corner of the feasible region


Workshop 2

IP = integer programming
- Geheel getal
- Can never be better than LP, so worse solution
- Integer constraint can be added in the constraints window whilst solving
the problem

Binary variables
- Just two possibilities within integer programming
- Yes or no, 1 or 2

Transportation problem
Objective is always min or max Z, constraints are always from demand, supply (if
applicable) and nonnegativity

, Week 2
Workshop 1

Simplex method: algebraic method to compute the optimum
- Always tried to find a maximum
- Min Z = Max(-Z)  min (costs) = max (-costs)
- Equality (=) constraints are needed instead of inequalities
- Add slack variables, by converting < to =

-


Requirements:
- Maximization
- Equalities
- Non-negative  otherwise multiply it by -1
- Simplex tableau
o Coefficients of variables
o Solutions on the right-hand sides of the equations
o Basic variable appearing on each equation

Augmented solution: solution for the original variables that has been
augmented by the corresponding values of the slack variables (blue variables)




RHS (right-hand side) is
equal to the maximum
amount of resources
available

Slack variables have
value 1 in ‘their’ row =
source to convert
inequality




Basic and nonbasic variables
- Non basic variables = value equals 0 and multiple values in the row are
not equal to 0

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