Combining models into an integrated model

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Analytica User GuideWorking with Large ModelsCombining models into an integrated model

Distributed modeling

Large models introduce a unique set of modeling issues. Modelers might want to work on different parts of a model simultaneously, or at remote locations. During construction, a large model might be more tractable when broken into modular pieces (modules), but all modules should use a common set of indexes and functions. Analytica provides the functionality required to support large-scale, distributed modeling efforts.

This section describes how to best use Analytica for large modeling projects and contains suggestions for planning a large model where responsibility for each module is assigned to different people (or teams).

Define public variables

The first step to creating an integrated model is to define public variables for use by all modules and agree on module linkages.

Every integrated model has variables that are used by two or more projects (for example, geographical, organizational, or other indexes, modeling parameters, and universal constants). These public variables should be defined in a separate module, and distributed to all project teams. Each team uses the Add Module dialog to add the public variables module to its model at the outset of modeling. Using a common module for public variables avoids duplication of variables and facilitates the modules’ integration.

Source control over the public variable module must be established at the outset so that all teams are always working with the same public variables module. Modelers should not add, delete, or change variables in the public variables module unless they inform the source controller, who can then distribute a new version to all modelers.

If multiple teams will be working on separate projects, it is essential that the teams agree upon inputs and outputs. Modelers must specify the input variables, units, and dimensions that they are expecting as well as the output variables, units, and dimensions that they will be providing. The indexes of these inputs and outputs should be contained in the public variables module.

Create a modular model

By keeping large pieces of a model in separate, or filed modules, modelers can work on different parts of a model simultaneously. You can break an existing model into modules, or combine modules into an integrated model. In both cases, the result is a top-level model, into which the modules are added.

To save pieces of a large model as a set of filed modules, see Using filed modules and libraries. To combine existing models into a new, integrated model:

  1. Create or open the model that will be the top level of the hierarchy. This is the model to which all sub-models will be added.
  2. Using the Add Module dialog, add in the sub-models. Be sure to check the Merge option in the Add Module dialog. Add the modules in the following sequence:
    • Any public variable modules
    • All remaining modules in order of back to front; that is:
      • First, the module(s) whose outputs are not used by any other module, and
      • Last, the module(s) which take no inputs from any other module.
  3. Save the entire integrated model, using the Save command.

The two alternative methods of controlling each module’s input and output nodes so the modules can be easily integrated, are:

  • Identical identifiers
  • Redundant nodes

Identical identifiers

Assign the input nodes in each module the exact same identifiers as the output nodes in other modules that will be feeding into them. When you add the modules beginning with the last modules first (that is, those at the end of model flow diagram), the input nodes are overwritten by the output nodes, thus linking the modules and avoiding duplication.

With identical identifiers, the individual modules cannot be evaluated alone because they are missing their input data. They can be evaluated only as part of the integrated model.

Redundant nodes

Place the output node identifiers in the definition fields of their respective input nodes. Due to the node redundancy, this method requires more memory than using identical identifiers, and it is therefore less desirable when large tables of data are passed between modules. However, since no nodes are overwritten and lost upon integration, this method preserves the modules’ structural integrity, with both input and output nodes visible in each module’s diagram.

With redundant nodes, each module can be opened and evaluated alone, using stand alone shells.

Stand alone shells

With redundant nodes, you can create a top-level model that contains one or more modules and the public variables module plus dummy inputs and outputs. Such a top-level model is called a stand alone shell because it allows you to open and evaluate a single module 'standing alone' from the rest of the integrated model. Stand alone shells are useful when modelers want to examine or refine a particular module without the overhead of opening and running the entire model.

To create a stand alone shell for module Mod1, which is a filed module:

  1. Open the integrated model and evaluate all nodes that feed inputs to Mod1.
  2. Use the Export command (see Import to and export from an Edit table or List) to save the value of each feeding node in a separate file. Make a note of these items:
    • The identifier of each node and the indexes by which its results are dimensioned.
    • The identifiers of Mod1’s output nodes, if you want to include their dummies in the stand alone shell.
  3. Close the integrated model.
  4. Create a new model, to be the stand alone shell.
  5. Use Add Module to add the public variables module.
  6. For each input node, create a node containing an edit table, using the identifier and dimensions of the feeding nodes you noted from the integrated model.
  7. Use the Import command (see Import to and export from an Edit table or List) to load the appropriate data into each node’s edit table.
  8. Use Add Module to add Mod1 into the stand alone shell.
  9. To include output nodes at the top level of the hierarchy, create nodes there and define them as the identifiers of Mod1’s outputs.
  10. Save the shell.

The shell now has all the components necessary to open and evaluate Mod1, without loading the entire model. As long as modelers do not make changes to the dimensions or identifiers of module inputs and outputs, they can modify a module while using the stand alone shell, and the resulting module is usable within the integrated model.

Cautions in combining models

Identifiers

Every object in a model must have a unique identifier. The identifiers of filed libraries and filed modules that you add to a model, as well as their variables and functions, cannot duplicate identifiers in the root model. See Merge contents (overwrite).

Created attributes

When you combine models with created attributes, the maximum number of defined attributes is five (see Managing attributes).

Location of linked modules and libraries

If the model will eventually be distributed to other computers, all modules and libraries should be on the same drive as the root model prior to being added to the root model. When the model is distributed, distribute it with all linked modules and libraries.

See Also


Import a module or libraryCombining models into an integrated modelManaging windows
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