The top part of the GFA with Roads experiment view contains toolbar with the Run, allowing you to launch the configured GFA with Roads experiment.
Below the toolbar you can find a set of the experiment's parameters:
The experiment parameters can be reset to their default values if required.
Experiment duration — the period of time that will be processed by the experiment.
All periods — [this option is set by default] Experiment will consider all periods specified in the
The actual experiment duration is specified below the parameter as
Start date and End date:
The starting date of the experiment corresponds to the date specified in the Start column of the first period (in the Periods table), and the ending date corresponds to the date specified in the End column of the last period (in the Periods table).
Selected periods — experiment will consider only the periods that you specify in the
Start period and End period fields:
- Start period — [visible if Selected periods option is selected] specify the period, the starting date of which will be used as the starting date of the experiment.
- End period — [visible if Selected periods option is selected] specify the period, the ending date of which will be used as the ending date of the experiment.
The experiment duration will constitute the whole period between the starting date of the period specified in the Start period field and the ending date of the period specified in the End period field.
Custom period — allows you to set custom experiment duration period.
For details on specifying dates, refer to the
date chooser section.
- Start date — specify the required experiment starting date.
- End date — specify the required experiment ending date.
- All periods — [this option is set by default] Experiment will consider all periods specified in the Periods table. The actual experiment duration is specified below the parameter as Start date and End date:
- Number of sites — specify the number of sites that you would like to use in your supply chain. The GFA with Roads experiment will find the optimal locations for the specified number of sites.
Ignore straight routes
— [disabled by default] defines if the experiment considers straight routes or ignores them.
The GFA with roads experiment considers actual roads. If data on a certain route cannot be obtained (e.g. the road does not exist), the route is treated as a straight line connecting two objects. This parameter defines if the experiment considers such straight routes or ignores them (i.e., there's no connection between the objects).
- Distance step for statistics — statistics will be shown for sites at every specified distance step.
- Product measurement unit — the measurement unit of products within this experiment.
- Distance measurement unit — the measurement unit of distance within this experiment.
- Suppliers to sites transportation discount, % — allows you to vary transportation cost, which affects the resulting DC locations (the larger the discount, the less influence the supplier has on the site location, and vice versa).
- Minimum population — limits the list of cities (by their population), in which DCs can be placed. If the population of the city is less than the specified value, it will not be considered by the experiment. Cities with population less than 15 000 people are not considered.
- Optimization time limit — sets the maximum time you would like to allot to defining one solution.
- New sites icon — allows you to specify an icon (defined in the Edit Icons) that will be set to all DCs created by the GFA with Roads experiment.
- Experiment pre-processor — custom user-defined java processor. If no custom pre-processor is provided, the Default pre-processor will be used.
Experiment post-processor — custom user-defined java processor.
If no custom post-processor is provided, the Default post-processor will be used.
- Export statistics to External DB — if set, the gathered statistics will be exported to the database table. Click the icon to the right of this parameter to configure export parameters.
- Export statistics to a file — if set, each gathered statistics will be exported to a .txt file. Click the icon to the right of this parameter to configure export parameters.
- Table of destinations.
The table allows you to specify the groups of customers/sites or both types of objects to be considered during the GFA experiment.
For more details refer here.
The table contains the following columns:
- # — shows the ordinal numbers, denoting the order of the table records.
- Groups of Objects — contains groups (either default or user-defined) of the available customers/sites involved in the scenario's supply chain;
- Included — shows the current status of the group, i.e., whether it is considered or not during the GFA experiment.
- Customers — the experiment will find the optimal locations for sites supplying the selected customers.
- Sites — the experiment will find the optimal locations for super sites, supplying the selected sites.
- Combination of customers and sites — the experiment will find the optimal locations for super sites that will be supplying the selected objects.
Defining a super site location for a DC and several customers
For example, we have a supply chain in Spain with one DC and six customers (see screenshot below). The DC is supplying three customers in the western part of Spain (next to Ourense, in Portugal, and in List). You want to find the optimal location for a sourcing site that will be supplying the existing DC and the three clients in the northern part of Spain.
- Navigate to the Sourcing table and make sure that the customers from the northern part are not connected to the existing DC.
- Navigate to the Groups
table and create either of the following (the created groups will be available in the
Table of destinations):
- Group containing all the required objects (the existing DC and the three northern customers). This will add one record to the Groups of Objects column in the Table of destinations.
- Two groups, one with the existing DC, and the other one with the three northern customers. This will add two records to the Groups of Objects column in the Table of destinations.
- Navigate to the experiment parameters and select the required group(s) of objects. The experiment will find the optimized location for the super site considering the existing DC and the specified customers.
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