In the previous phase we created a new scenario and found the optimal location for our distribution center. In this phase we will:
- Convert result to a new scenario and analyze the input data
- Extend the supply chain by generating customers in Austria and Italy
- Generate demand for new customers
Let us start with converting the received result to a new GFA scenario.
Convert result to a new scenario
- Right-click Result in the GFA experiment branch and select the
Convert to GFA scenario option in the pop-up menu.
The current results will be converted to the new Chocolate Distribution GFA Result scenario.
Let us examine the tables of the Chocolate Distribution GFA Result scenario that have been updated with the new data:
DCs and Factories — now contains data on the new DC (GFA DC),
for which the experiment found the optimized location.
- Groups — now contains the group of customers (GFA DC group)
supplied by the new DC.
- Locations — now contains the location of the new DC.
Sourcing — now contains the sourcing policy describing that the existing customers
are supplied by the new GFA DC distribution center.
The next step is to add new customers.
This time we will generate customers in the 10 largest cities of Austria, rather than manually place them on the map.
Generate customers in Austria and Italy
- Navigate to the Customers table and click the Generate... button in its toolbar.
The dialog box will open.
- Select country/countries — countries in which customers will be generated.
- Minimum city population — allows you to filter cities by population.
- Number of objects — the number of customers you want to generate.
- Create country groups — if enabled, anyLogistix will additionally create a group of customers for each country defined in the Select country/countries parameter.
- Object icon — the icon of the generated customer(s).
- Click the Select country/countries drop-down list and start typing Austria
to filter countries. Then select the checkbox next to Austria.
- Click OK to close the dialog box and generate customers. The map will instantly depict the new customers.
- In the same way generate 10 customers in Italy.
Eventually we will have 30 customers in 3 countries.
On generating customers, anyLogistix scenario acquires new data, which is available in the following tables:
- Customers and Locations — each table obtained 20 new records (10 customers in Austria 10 customers in Italy).
- Groups — this table obtained 2 new groups (Austria Customers,
Italy Customers) containing the generated customers.
We have generated new customers, but they currently have no value for the experiment, since they do not generate any demand. Let us define demand for the new customers.
Generate demand for new customers
- Open the Demand table and click the Generate... button in its toolbar.
The dialog box will open:
- Customers — customer(s), for which demand must be generated.
- Products — the demanded product(s).
- Time periods — period for which demand must be generated.
- Demand type — the type of demand to generate. By default the Fixed periodic demand is generated, i.e., fixed volume of product(s) is ordered within the period of time defined in the Order interval, days.
- Order interval, days — the time period during which the specified Quantity of product(s) is ordered.
- Quantity — the amount of product units that is ordered at every given Order interval, days.
- Per citizen — [selected by default] means that the specified Quantity of product units is ordered by each citizen (of a city in which the specified Customer is located) at every given Order interval, days.
- Define the following parameters:
- Click the Customers drop-down list and select the checkbox next to Austria Customers.
- Click the Products drop-down list and select the checkbox next to Chocolate bars.
- Leave the default value of the Order interval, days parameter: 5.
- Click the Quantity field and type 0.012.
We know that annual chocolate consumption in Austria constitutes 8.7 kg per citizen, which means that every 5 days 0.119 kg of chocolate is ordered per capita (8.7 / 365 * 5 = 0.119 kg). The 10% of the market is 0.012.
- Click Generate. The Demand table will acquire 10 new records. Each record refers to a
customer located in a certain city of Austria. The generated demand is distributed according to the population of each city.
- In the same way generate demand for customers in Italy. Set the Quantity parameter to 0.005.
With the last step we have completed Phase 2 of this tutorial.
We have extended our supply chain with additional customers in Austria and Italy. We have also generated demand for the new customers.
In the third phase we will set up and run the GFA experiment, examine and convert the results to a new scenario.
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