©GoldSim Technology Group LLC., 2015 Designing Well-Structured and Scalable Models April 2015...

©GoldSim Technology Group LLC., 2015

Designing Well-Structured and Scalable Models

April 2015 Webinar

Overview

Design Implementation Documentation Validation and review Presentation

Types of Models

A model to answer a specific question

A tool to answer on-going questions

Design: Model Requirements

Before design Basis for level of effort What does the model do and not do? Specific requirements

– Interface and Reporting– Data– Functional requirements– Performance– Delivery & Maintainability

Design: Formulate Conceptual Model

How to fulfill requirements? Schematic diagrams Top down approach

Design: Model Framework

Input/output Performance Interface

Design: Top Down Approach

Start with

“Here is the problem I’m solving…”

Formulate problem using diagrams and logical statements

Diversion <= 4 m3/dHow big should new pond be?

Can water quality be improved?

How can we maximize supplies?

Expenses < $5M

Supplies >= 100 ML

Design: Draw a System Schematic

Upstream

Pond 1

Pond 3

Pond 2

Return Flow

Overflow

Supply A

Supply BSDownstream

Document the Design

Include requirements Criteria and assumptions Diagrams Basis for model documentation

Implementation

Build using “top-down” approach Testing Documentation and graphical design User interface Standards Versioning and file management

Implementation: System Components

Keep it DRY

Don’t Repeat Yourself Local containers provide local scope Cloned containers Maintain libraries

Group Elements with Common Purpose

Scenario data Data controlled by dashboard External data sources Logic flow and/or physical flows Results that export

Simulation Settings

Assume the settings will change Don’t structure expressions on single

time setting

Implementation: Build Data Model

Global inputs Avoid embedding data in expression

fields Main outputs Import/export

Generic Objects

Localized containers with local scope Switch out “chunks” of the model Concise names

Standardize

Naming conventions Influence lines Documentation File Management Versioning

Model Framework Example

System Representation

Model Documentation

Focus on needs of audience Text Graphic objects Hyperlinks

What Prevents Good Documentation?

Insufficient funds It is difficult and time consuming to

translate model logic and formulation to written descriptions

The person writing the logic might not have the patience or ability to assist with documentation

Lacking a good example to draw from

Components of Documentation

Abstract/Introduction/Background The underlying methodology (theory) Model limitations (and capabilities) Data requirements Input specifications (how is data put into

the model?) Summary of model output and any

processing of results Example application of the model

Versioning

Validation

Independent models or algorithms Excel – note difference in time stepping! Reporting periods High-resolution results

Independent Review

Documentation is the basis Markup the model

Presentation

High level access to important results Low level access to all other results Consistency Muted colors Dashboards

– Light background for Windows controls

Thank you!

©GoldSim Technology Group LLC., 2015 Designing Well-Structured and Scalable Models April 2015...

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Transcript of ©GoldSim Technology Group LLC., 2015 Designing Well-Structured and Scalable Models April 2015...

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