Transportation problem: Construction of starting solution 1: Unterschied zwischen den Versionen

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<br> 3. Move forward till every demand is tiled.
 
<br> 3. Move forward till every demand is tiled.
  
<br>Because of these redline is depending on the lowest costs it shows a good approximation to the optimal solution.
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<br>Because of the redline is depending on the lowest costs it shows a good approximation to the optimal solution.
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Version vom 7. Juni 2013, 18:22 Uhr

Transportation problem: Find an initial solution


Introduction

The transportation problem is a general problem for every company, especially in logistics, to get a balance between supply and demand quantity. That means, you have j locations which need the product x and i locations which could send it to each of these. The supply quantity is declared by the variable ai, the quantity of demand by the variable bj. A necessary condition for this is that the total supply is equal to the total demand. Furthermore the problem consists of an allocation of the quantity in a cost minimal way. That shows basically the theoretical problem.


Mathematical formulation of a general transportation problem


ai : supply quantity at location i (i=1,…,m)
bj : demand quantity at location j (j=1,…,n)
cij :transportation cost per unit from supply location i to demand location j
xij : transportation quantity from i to j


Minimize K=∑i ∑j cij*xij
∑j xij = ai for every i
∑i xij = bj for every j
xij ≥ 0 for every i,j
A solution only exists, if ∑i ai = ∑j bj


Example

There is a company named Physics Rules The World which has 4 manufacturing bases. They produce high technology light amplification of stimulated emission of radiation, short LASER in Rom, Lissabon, Berlin and Moskau. An important furnisher is placed in Madrid, Istanbul and Peking. The following cost matrix is depending on the distance between the place of supply and the place of demand. In addition there are a few possibilities to send the material like by truck, plane or train. That is why the shortest distance doesn’t have to be the possibility with the shortest costs.

Fehler beim Erstellen des Vorschaubildes: Die Miniaturansicht konnte nicht am vorgesehenen Ort gespeichert werden


In the following part we explain you the possibilities to find an initial solution.

    1. North-West corner method
    2. Simple row sequence
    3. Row-column succession
    4. Matrix-Minimum method
    5. Cost difference method
    6. Frequency method
    7. Modified North-West corner method 


3. Row-column succession:

Redline:
1. Allocate the cheapest field of the whole matrix the highest possible quantity.
2. The next cheapest field in row or column should get the remaining quantity.
3. Move forward till every demand is tiled.


Because of the redline is depending on the lowest costs it shows a good approximation to the optimal solution.

Fehler beim Erstellen des Vorschaubildes: Die Miniaturansicht konnte nicht am vorgesehenen Ort gespeichert werden