Ibm ilog odme based solution webinar

IBM ILOG ODME Based Solution
Webinar

9th January 2013

Ph: +91 98406 18472/ +91 44 4501 8472 Bala. Padmakumar
Email : optimize@optiriskindia.com Director & CEO
Web: http://www.optiriskindia.com OptiRisk India
© 2010-13 OptiRisk India (P) Ltd, All rights reserved

1. Introduction
2. Projects done with ODME
3. ODME Implementation – Task/ Competencies
i. Data Integration
ii. Pre-processing and Post –processing of Data
iii. Mathematical Model Development
iv. Decision Process Configuration
v. Result Visualization(GUI)
4. Integrated solution Developed using IBM ILOG CPLEX
5. Conclusion

© 2010-13 OptiRisk India (P) Ltd, All rights reserved 2

___________________________________________________________________________________________________________________________


1. Introduction
2. Projects done using ODME
i. Data Integration
5. Conclusion


Admin Console

ILOG
ERP Route Planner
ODM
Planner
Studio
ODME Application
Intranet
Custom ILOG ODM ILOG ODM
Data I/O Interface Optimization Server Reviewer
Studio

Fire Wall

Corporate ILOG ODM
ILOG
Database Data Server ODM
Planner
Studio
ODM Internet
Scenario
ILOG ODM
Repository Reviewer
Corporate Office ODM Studio

6


A number of projects have been done using IBM ILOG ODME, few of them
are explained below:

1. LDIopt( Liability Driven Investment Optimization Tool)
a. A variant of Asset and Liability Management (ALM) Solution
b. Stochastic linear programming model with chance constraints
c. Multi model Architecture
d. Integrated with DB2 and Excel
e. Pre-processing and Post-processing of data done using Java code
f. ODME inbuilt table and charts are used
g. Customized table and chart view are created using Java code
h. Efficient frontier is plotted between different objectives using Java code


2. Outbound Logistics transport planning solution – A leading LPG Company
a. A variant of Vehicle Routing Problem with stacking rules
b. Mixed Integer linear programming model with branch and price column
generation technique
c. Multi model Architecture
d. Integrated with Excel
e. Pre-processing and Post-processing of data done using OPL script

3. Spare parts warehouse through put Synchronization – A leading auto company
a. A variant of Vehicle Routing and warehouse management Problem
b. Mixed Integer linear programming model
c. Single model Architecture
d. Integrated with Excel
e. Pre-processing and Post-processing of data done using OPL script & Java


1. Introduction
i. Data Integration
5. Conclusion


IBM DB2
Excel

My SQL

ODM Enterprise Text File
Other DB

CSV


Different
Databases


Database Tables

Fields


Connecting
Database to
ODME


Relationship between
Tables Imported from DB the Tables


Tables generated in ODME


Adding Tables


Adding Fields in
the Tables


Relationship
between the Tables


Creating Scenario
Data source


Data source(CSV)
generated


Add CSV files


1. Introduction
i. Data Integration
5. Conclusion


Pre-processing of Data done using


Pre-processing with OPL

CSV ODM Enterprise Pre-processing model Main model

Post-processing with OPL

Solve
ODM Display

ODM Enterprise Post-processing


Input Excel File


ODME Perspective
With the input
Excel File


OPL Sub Pre-
process File


OPL Main Model File


Pre-processing with JAVA

Excel Pre-processing model ODM Enterprise Main model

Post-processing with JAVA

Solve
ODM Display

ODM Enterprise
Post-processing


Input Excel File


Java files to pre-process
Input Excel File
the input data and import
the data to DB2


1. Introduction
i. Data Integration
5. Conclusion


Mathematical Model

Single Multi
Model Model

Mathematical model developed by

Concert


Single model


Configure
Single model


Multi model


Configure
Multi model


Adding model files


Concert Java
Code


Exporting the
Scenario


1. Introduction
i. Data Integration
5. Conclusion


i. Data Mapping
ii. Rules
iii. Goals
iv. Requirement
v. Iterations -Multiple Run
vi. Checking configuration


Mapping ODM to OPL


Input & Output Tables


Adding Goals


Adding
requirements


Adding
Iterations


Run Configuration


Deploy the application


1. Introduction
i. Data Integration
5. Conclusion


i. Using inbuilt ODME Features
ii. Using Java Features

Using Java Features

ODM Display

To display different charts


Different
Scenarios


Solving the
Model


Input Data

Solution


Adding Charts


Configure
Pivot Table


Java Files to plot chart


1. Introduction
i. Data Integration
5. Conclusion


CPLEX Enterprise Server based Solution Architecture

Excel
(from Client)

Custom
ERP Data I/O
Interface
Intranet
Other DB EXCEL

Web based Planner &
Reviewer Front End
Vehicle Routing ILOG CPLEX
Enterprise Fire Wall
Engine Server DB GUI
Software Interface Interface

Application Server Internet

Web
Server
DB2 Database Web based Planner &
Reviewer Front End
Google
Maps Server


In the past two years, a number of prototype have
been developed , few of them are

1. Energy trading social welfare maximization

2. Scheduling Project

1) Flight Maintenance scheduling

2) Army convoy movement scheduling

3. ORPSS(Optirisk Route planning and scheduling software)


Energy Trading “Clearing Price and order matching decision models” are
developed using IBM ILOG CPLEX technologies for power exchange India ltd.
Multi Model architecture
Mixed integer program
Pre-Processing and Post processing done using PHP
Model are called using the OPL RUN command line options
Web based front end for the participants to place and manage orders using PHP
Exchange has web based admin control panel to manage the transactions.
Highly scalable back end servers will run the models.


The underlying model runs on Cplex solver and has been modeled using
Concert technology in java.
The data is currently imported from excel. Data from other ERP databases
can also be imported to the software to get daily plans.
The plans(results) can be fed back to the ERP or can be extracted out in
the form of an excel sheet.

Google Maps : The UI is integrated with Google maps for users to have an
holistic view of the solution.
GPS : Real-time tracking of the trucks is also possible with GPS.
Delivery schedule : A graphical view of the delivery schedule in the form
of a Gantt chart is also available for the users.
Truck Utilization : The level to which trucks are utilized is also available in
the form of bar charts.


1. Introduction
i. Data Integration
5. Conclusion


1. User friendly Platform to develop and use custom DSS
2. Take less time to develop and deploy applications
3. Offers capability to develop End-to-End Solution

Competencies
1. Optimization Model development
2. Integration with rest of IT System
3. Pre-processing of Input data and Post-processing of results
4. User Interface – Tables, Charts and Maps

Tools / Languages

OPL, AMPL, ODME, Jviews, Java, JavaScript, PHP, Ajax,
CSS, HTML5, Google Maps, DB2, Oracle, MySql


Q&A


Bala. Padmakumar
Ph: +91 98406 18472 / +91 44 4501 8472
Email: optimize@optiriskindia.com
Web: http://www.optiriskindia.com/

Asia Pacific, Africa, Australia & Middle East : Europe & America :

No 12, Ground Floor, 25th Cross Street OptiRisk R&D House One Oxford Road,
Thiruvalluvar Nagar, Thiruvanmiyur, Uxbridge Middlesex, UB9 4DA,
Chennai - 600041, India. United Kingdom.


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