Virtual User Group Meetings

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IBM Prescriptive Analytics Virtual User Group Meetings provide you with updated and useful information about our products and how you can get the best value for your organization from our optimization technology and solutions.

These meetings are held electronically with presentations by our product management and development subject matter experts. The session will run for approximately one hour, with about 45 minutes of presentation material and 15 minutes for open questions and answers. Our goal is to provide a forum for you to:



·    make smarter decisions



·    get your questions answered



·    elicit your feedback on various topics.

Webinars are planned for the 4th Wednesday of every month at 07:30 Pacific, 10:30 Eastern, 16:30 CET.   Please contact Kitte Knight at kknight@us.ibm.com if you have questions about these webinars.

 

ODHeuristics

It is not practical to prove optimality for most large scale MIP models. Indeed, many are so computationally onerous that it is not possible to raise the best bound at all beyond the root solve. Some are so onerous that even solving the root may take a day or more.

Nevertheless, it may be possible provide the user with useful information.

ODHeuristics is a general purpose program built on CPLEX for obtaining good feasible solutions to such MIPs. It is designed for scheduling problems but works for any MIP which has a reasonable number of integer feasible solutions. It has been deployed effectively on packing problems, supply chain and telecoms as well as scheduling applications.

This talk looks at what ODHeuristics does and how – in general terms – it goes about it with reference to some simple examples. Parallelism it needed to exploit modern architecture effectively and interfaces are provided to C and Concert in both C++ and Java.

Webinar Link

Room ID & Password: PAVUG416

Teleconference information: USA Toll-Free: 888-426-6840

Global Access Numbers List

Meeting ID: 44140451#

Slides

April 27, 2016

7:30 Pacific, 10:30 Eastern, 16:30 CET

Dr. Alkis Vazacopoulos Ph.D.

and Professor Robert Ashford, CEO

of Optimization Direct

CPLEX Modeling for Python

Python gained an incredible growth in the Data Scientist world in the last 2 years.

We will discuss why this is happening and will describe what Decision Optimization is doing to leverage this ecosystem and the various IBM optimizers (CPLEX, CPO, DOcloud).

At the end of the talk, you will know where to find all the resources to start writing your first optimization models in Python.

Slides

Recording

March 30th 2016 

7:30 Pacific, 10:30 Eastern, 16:30 CET)

Vincent Beraudier, IBM Decision Optimization

OPL Language and IDE Development Manager Python experience Development Manager
Supply Chain Optimizer (SCO) - a Decision Optimization Center based Solution for Supply Chain Management

Supply Chain Management includes the movement and storage of raw materials, components, supplier- and final products along a supply chain from suppliers over plants and warehouses to customers and pursues the main goal of resource optimization for the company. A good production plan must consider production- and warehouse capacities, guarantee a smooth transportation from suppliers to customers and minimize costs for transport, production and storage. This presentation is about the Supply Chain Optimizer (SCO), which is an IBM Decision Optimization Center based Solution for Supply Chain Management, developed by the IBM Business Partner X-INTEGRATE. SCO supports to make strategic and tactical decisions in Production- and Transport planning, and to decide where and when to open new facilities. While maximizing the companies KPI the tool can minimize the effort, time consumption and the risks connected with the planning and generation of Supply Chains and production plans.

Slides

February 24, 2016

7:30 Pacific, 10:30 Eastern, 16:30 CET

Maximilian Lorse, X-Integrate and

Marc Arnoldussen,  X-Integrate

IBM Decision Optimization for Sales and Operations Planning

Sales and Operations Planning (S&OP) is a regular planning process in manufacturing and many other industries. It is typically carried out by the sales division, and involves additional stakeholders like production, procurement, and supply chain management. We will discuss a client success story that uses analytics solutions (Cognos TM1, SPSS and Decision Optimization) to enhance the S&OP process with significant benefits. We will also review an IBM S&OP blueprint that supports automatic forecasting, manual demand planning, optimized production allocation, and financial planning.



We will highlight how Decision Optimization fits and complements the other analytics solutions (Cognos TM1 and SPSS) and discuss different approaches on how all products can work together to add significant value to your business.

Slides

Recording

January 29, 2016

07:30 Pacific, 10:30 Eastern, 16:30 CET

Nerav Doshi, IBM Decision Optimization
IBM Decision Optimization Plugins for easy data analysis and report generation

The Steinhoff & Steinhoff Microsoft Excel* and BIRT plug-ins for the IBM Decision Optimization Center client provide business users with functions for powerful data manipulation and analysis in Microsoft Excel and easy report generation with BIRT**, based on data selected in the IBM Decision Optimization Center client application.

 

Slides

Recording

October 28, 2015

07:30 Pacific, 10:30 Eastern, 15:30 CET

Hans Schlenker, IBM Decision Optimization technical sales consultant

Alfons Steinhoff, IT consultant and architect, Steinhoff & Steinhoff partner

CPLEX Optimization Studio 12.6.2: MIQCP improvements

A new release of CPLEX Optimization Studio was made generally available on June 12th. We present the main improvements for solving convex Mixed Integer Quadratically Constrained Programs (MIQCP) in the latest release. After reviewing features of CPLEX for modeling and solving quadratically constrained programs, we will cover the two ideas that were developed to disaggregate quadratic constraints and separate lift-and-project cuts. We will also provide detailed benchmark results to analyze the performance impact of our implementation.

Slides

Recording

 

July 29, 2015

07:30 Pacific, 10:30 Eastern, 16:30 CET

Pierre Bonami, Software Scientist, CPLEX Optimization Studio, IBM
What’s new in CPLEX Optimization Studio 12.6.2?

A new release of CPLEX Optimization Studio will be generally available on June 12th. In this presentation, you will learn about the new features and performance enhancements, including:



• Improved performance of CPLEX Optimizers on public benchmarks



• Cloud connection in IDE for solving OPL problems



• Model assistance and explanation on failures in CPO

Slides

Recording

June 25, 2015

07:00 Pacific, 10:00 Eastern, 16:00 CET

Ferenc Katai, Product Line Manager, CPLEX Optimization Studio, IBM
Announcing IBM Decision Optimization on Cloud

IBM Decision Optimization on Cloud (DOcloud) provides the power of IBM CPLEX Optimizers in a self-serve cloud environment. It includes the DropSolve drag-and-drop interface to solve models online, the DOcloud API to embed CPLEX Optimizers on cloud in any application, documentation and samples, and a community where operations research experts and application developers can contribute and learn from each other. In this talk, we present an overview of DOcloud, as well as a tutorial on using the DOcloud API to integrate the CPLEX Optimizers on cloud into an application.

Slides

Recording

May 27, 2015

07:30 Pacific, 10:30 Eastern, 16:30 CET

Susara Van Den Heever, IBM Decision Optimization Product Line Manager

Michel Jaczyinski, IBM Decision Optimization Principal Software Architect
Applying Optimization to Scheduling Strategic Inspections for Fast Food and Oil Industry Franchises

The presentation will focus on an effective scheduling system for strategic inspections developed by Blindspot Solutions, an IBM Business Partner. The system is developed as prototype for companies in food and oil industries which need to periodically inspect their branches. The system was built using IBM ILOG Decision Optimization Center enhanced with a modern JavaFX user interface. The scheduling algorithm combines the traveling salesman problem with game-theoretic reasoning to create schedules on budget with maximal unpredictability. Schedules can be generated for weeks in advance and re-planned during execution, preferring minimal changes to the existing schedule. The system can be re-deployed in many other domains, including auditing and physical security management.

Slides

Recording

April 22, 2015

07:30 Pacific, 10:30 Eastern, 16:30 CET

Ondrej Vanek, Stepan Kopriva

IBM Business Partner Blindspot Solutions

Identification, Assessment and Correction of Ill-Conditioning and Numerical Instability in Linear and Integer Programs

The implementation of linear (LP) and mixed integer programming (MIP) algorithms on finite precision computers can create numerical challenges which are not addressed in their mathematical descriptions found in many introductory and more advanced textbooks and courses. Rounding errors associated with finite precision can be magnified due to ill-conditioning or numerical instability, resulting in unexpected, possibly inconsistent results. This presentation helps the optimization practitioner identify symptoms of ill-conditioning and numerical instability, assess the cause, and take appropriate remedial action.



Part I discusses finite precision computing fundamentals and considers different measures of ill-conditioning. Practitioners extremely familiar with these concepts may wish to attend just Part II, which discusses several numerically difficult models to illustrate remedies for these challenges: (i) optimizer parameter settings that treat the symptoms and (ii) diagnostic tactics that resolve the underlying issue in the LP or MIP.

Slides (Part 1)

Slides (Part 2)

Recording (Part 1)

Recording (Part 2)

 

March 25 & 26, 2015

07:30 Pacific, 10:30 Eastern, 16:30 CET

Ed Klotz, Advanced CPLEX Customer Support

Connecting the predictive and prescriptive (optimization) worlds

In the Analytics world there are clear separations to tackle different business problems with different tools and technologies. IBM is in unique position to cover all aspects of Analytics world thru its descriptive (Cognos)/predictive (SPSS)/prescriptive (Decision Optimization) portfolio. Each portfolio software brings significant business value, but using them connected is what delivers the maximum value. In the presentation we will show how to feed predictive analytics results into an optimization model thru the SPSS Connector in the OPL Studio using campaign optimization and promotion optimization demos. We will also present overview of recently launched IBM Decision Optimization on Cloud Beta.

Slides

Recording

January 28, 2015

07:30 Pacific, 10:30 Eastern, 16:30 CET

Ferenc Katai, Product Line Manager, CPLEX Optimization Studio, IBM
What’s new in CPLEX Optimization Studio 12.6.1? A new release of CPLEX Optimization Studio will be generally available on December 5. In this presentation, you will learn about the new features and performance enhancements, including:
  • Improved solution times on difficult mixed-integer problems with both linear and quadratic terms
  • Improved solution times on integer problems using constraint programming
  • New features of the distributed parallel algorithm for mixed-integer problems
  • Ability to read and write constraint programming problem files
  • Ability to track license usage for floating and authorized user licenses

We will also provide a preview of the Decision Optimization Cloud Beta program

Slides

Recording

December 10, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

Mary Fenelon, Development Manager, CPLEX Optimization Studio, IBM
Migrating from ILOG CP (Solver/Scheduler) to CP Optimizer

When first introduced in 2007, CP Optimizer was the result of more than 15 years of experience with developing and using CP techniques with ILOG Solver and Scheduler. The modeling concepts were redesigned, especially for scheduling problems, to have a more compact, regular and expressive language. It also introduced robust automatic search. The objective of this presentation is to ease migration from ILOG CP to CP Optimizer. It will build bridges between different concepts and tools used in CP Optimizer and in ILOG CP for modeling and solving combinatorial problems and provide guidelines for migration illustrated on real case studies.

Slides

Recording

November 19, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

Jerome Rogerie, IBM Software Group - Constraint Programming Development
Optimization in Production Planning and Scheduling

In today’s world, production and supply chain planners face several challenges that are not fully addressed by software solutions in the market. Typically Planners are interested in tactical time horizon of a few days out to a couple of months. In this time frame Planners need to account for not only production capabilities of the various plans but also business specific operational constraints, rules and targets. Most solutions fail at generating a viable tactical plan that combines elements of the entire supply chain network and the production sequencing that determines setup times on the production lines. In this presentation we will talk about Production Planning and Scheduling challenges and demonstrate a solution template to address them.

Slides

Recording

October 22, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

Ioannis Gamvros, IBM Decision Optimization Technical Sales and Solution Leader

Optimization in Retail: Bringing Innovation to Users that are Not Early Adopters

Some retailers are known for their successful use of innovative technology like Best Buy and Zara. Logistics and supply chain departments have eagerly adopted optimization technology to improve their warehouse and transportation operations, inventory levels and service. Yet optimization solutions have failed to penetrate line-of-business departments, human resources, or middle and top management by having failed to show them the value they could get. We will share our experience deploying optimization solutions for these departments in the Retail industry.

Slides

Recording

September 24, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

Diego Olivier Fernandez Pons, Director Europe of IBM Business Partner Knowledge Touch

Indicator Constraints in Mixed-Integer Programming

Mixed Integer Linear Programming (MILP) models are commonly used to model indicator constraints, which either hold or are relaxed depending on the value of a binary variable. Classification problems with Ramp Loss functions are an important application of such models. Mixed Integer Nonlinar Programming (MINLP) models are usually dismissed because they cannot be solved as efficiently. However, we show here that a subset of classification problems can be solved much more efficiently by a MINLP model with nonconvex constraints. This calls for a reconsideration of the modeling of these indicator constraints, and we present several new results and interpretations obtained by digging into the relationship



between MILP and MINLP.

Slides

Recording

August 20, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

Andrea Lodi, professor at the University of Bologna

July 23, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

Companies today, and particularly retailers, have to deal with increasing levels of complexity. They must not only have products available in their stores, but also be able to satisfy demand from online channels, while also needing to be faster and more efficient than their competition. All of this comes with associated costs, so companies are having to use both traditional, as well as cutting edge, methods to improve their operations and planning processes. In this session, we'll talk about these challenges that today's omni-channel organizations face and how IBM can help them thrive, from strategic planning and inventory management to order management and optimization

Recording

Omni-Channel Fulfillment Optimization

Jim Bilotto and Mozafar Hajian, IBM Client Solution Professionals - Optimization and Supply Chain Management

June 25, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

One of the challenges of large Container Terminals is to smoothly coordinate Quay-side and Yard-side operations during the container load/discharge process. Taking advantage of the IBM Optimization platform and technology, DecisionBrain (www.decisionbrain.com) successfully implemented an innovative decision support solution to help one of the largest Container Terminals worldwide to closely coordinate operations and reduce Yard Clashes. In this presentation we share the key ingredients of this successful implementation: project approach, solution architecture, technical approach and best practices.

Slides

Recording

Use Optimization Techniques for Complex Decision Support: A DecisionBrain Case Study in Container Terminal Logistics

Filippo Focacci, CEO, IBM Business Partner DecisionBrain

May 28, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

Last year an overview on CP Optimizer was provided by Paul Shaw at this Virtual Users Group forum. In the upcoming session, we will follow-up on the original topic and focus on using CP Optimizer to address scheduling problems. We will initially cover modeling concepts related with scheduling in CP Optimizer. Using examples we will then provide details on tools, functionalities and tips for speeding-up the development of your scheduling models and improving their efficiency.

Slides

Recording

Modeling and Solving Scheduling Problems with CP Optimizer

Philippe Laborie, Principal Scientist – Constraint Programming, IBM

April 23, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

The OPL modeling language provides a compact and straightforward code that is much easier to maintain than general-purpose programming languages (C++, Java, etc.). However a common concern as with any descriptive modeling languages is that the savings in development time may come at the cost of excessive computing overhead (memory consumption, increased run-time). Proper design is key to produce an efficient model that will scale to solve large model instances. This presentation mainly describes best practices and techniques to compress models and data so that the run-time performance and memory consumption of OPL applications are efficient.

Slides

Recording

Efficient modeling with OPL - Optimization Programming Language Tips and Tricks

Sofiane Oussedik, IBM Decision Optimization Technical Sales & Solutions Leader
March 26, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

A new release of IBM Decision Optimization Center became available on March 14. In this presentation, you will learn about the new features and performance enhancements, including

  • Performance and scalability: Lower latency in the business user interface improves the user experience when working with large data sets.
  • Rapid and flexible application development: Scripting reduces the time and effort required to customize data models and views.
  • Effective business interface: User roles and rights support organizational business processes. Enhanced Gantt charts enable business users to move activities within a schedule interactively in real time.
  • Flexible architecture: A basic REST API facilitates application deployment on the web.

Slides

Recording

What's New in IBM Decision Optimization Center 3.8
Jeremy Bloom, Product Manager, IBM Decision Optimization Center, IBM
February 26, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

Traditionally the fashion industry has relied heavily on human instinct for decision-making. Fashion industry nuances like high volatility of demand, combined with strong inter-dependencies among sizes and products, renders standard retail distribution algorithms unusable. Current retail technologies force store owners to simplify ordering within a min-max standard retail algorithm, and limit the ability to add necessary industry “tricks” to strategic ordering. Some time ago, one of the worlds biggest fashion retailers, together with MIT, invested in applying analytics to this sector. Based on the investigations, DECIDE, together with the mStore-Operations has developed data and optimization models that helps the fashion industry optimize their replenishment process. In this presentation we will share the business and technical approach of this solution.

Slides

Recording

Optimizing Replenishment Processes in the Fashion Industry
Javier Lafuente Garcia, CEO, IBM Business Partner DECIDE Soluciones
January 22, 2014

07:30 Pacific, 10:30 Eastern, 16:30 CET

The presentation will focus on recent MIP performance improvements in CPLEX Optimizer. We will first provide a quick overview of the main components of CPLEX Optimizer along with benchmark results to assess the contribution of each component to the ability to solve MIPs. We will then review the new ingredients that have been added to CPLEX 12.5.1 and CPLEX 12.6.0 and will give detailed benchmark results that demonstrate performance improvements in the recent CPLEX versions. A special emphasis will be placed on improvements obtained with cutting planes, by discussing specifically two of the new components available in CPLEX 12.5.1 and CPLEX 12.6.0:

  • Lift-and-Project cuts, a well known class of MIP inequalities, and
  • The parallel root cut loop task, based on the idea to exploit performance variability in order to obtain better cutting planes and primal feasible solutions at the root node of a branch-and-cut tree.

Slides

Recording

Recent MIP Performance Improvements in IBM ILOG CPLEX Optimization Studio
Andrea Tramontani, Software Developer, CPLEX Optimization Studio, IBM

December 11, 2013

7:30 Pacific, 10:30 Eastern, 16:30 CET

A new release of CPLEX Optimization Studio will be generally available on December 6. In this presentation, you will learn about the new features and performance enhancements, including

  • Improved solution times on difficult mixed-integer problems
  • Improved solution times on scheduling problems
  • A new algorithm to provide a global optimum for problems with non-convex quadratic objectives
  • A new distributed parallel algorithm that harnesses compute clusters to solve mixed-integer problems
  • Constraints to better model ordering relationships between operations and to easily specify highly combinatorial relationships
  • Reorganization of CPLEX Optimizer parameters into a functional hierarchy
  • New code assist functionalities in the IDE that help in correctly writing constraints and related structures
  • An LP-format viewer in the IDE to aid in model debugging

Slides

Recording

What's New in CPLEX Optimization Studio 12.6
Mary Fenelon, Development Manager, CPLEX Optimization Studio, IBM

November 20, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

This presentation will focus on features of CPLEX Optimization Studio IDE that enable users to accelerate their model development cycle. Tips and tricks related to editing models, viewing results, debugging, writing custom scripting code, and profiling will be shared. The session will include demo of creating an optimization problem though the IDE and using it to explore various capabilities in debugging support including

  • New code assist functionalities that help in correctly writing constraints and related structures
  • Specific debug features like LP viewer, store/restore, interactive scripting, etc.

Slides

Recording

Unlocking the Power of the CPLEX Optimization Studio IDE

Vincent Beraudier, OPL & IDE Program Manager, CPLEX Optimization Studio, IBM

Frederic Delhoume, Software Architect, CPLEX Optimization Studio, IBM

October 23, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

The presentation will help in understanding the different application deployment possibilities using IBM Decision Optimization tools: CPLEX Optimization Studio and ODM Enterprise. We will go through available functionalities to embed optimization components in enterprise applications as well as explore functionalities that enable rapid application development. These will include graphical views of data, solutions and alternatives and a tour of the approaches and technical options for specific optimization application objectives, requirements and IT development environments.

Slides

Recording

Optimization Applications Deployment Options

Sofiane Oussedik, IBM Technical Sales and Solutions Leader

Michel Eisenmann, IBM Senior Optimization Solutions Consultant

September 25, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

The presentation will focus on a highly efficient and effective transport planning solution (OptiBat), developed for Stibat by CONUNDRA, an IBM ILOG Business Partner. Stibat in the Netherlands has a coordinating role for the transportation, sorting and recycling of used batteries. The final solution, OptiBat, was built using IBM ILOG ODM Enterprise resulting in a fully integrated solution with all the necessary features required in a highly demanding environment. It combines a strategic and an operational version. OptiBat© Strategic allows Stibat to create easily what if scenarios with ODME to find new improvements when faced with new challenges. OptiBat© Operational assures the optimal scheduling of the trucks. OptiBat© has gone live since the 1st of July and makes it possible to realize significant value creation and increases in efficiency.

Slides

Recording

Optimization based Solutions for Transportation Planning: A Case Study

Steven De Schrijver, An De Wispelaere, Dimi Defillet, CONUNDRA

Sofiane Oussedik, IBM

August 28, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

Even with state-of-the-art hardware and software, some mixed integer programs (MIPs) can require hours, or even days, of run time without yielding an optimal (or near-optimal, or any) solution. Adjusting CPLEX parameters frequently improves performance, but sometimes tightening or reformulating the model is needed.  This presentation will briefly discuss CPLEX parameter settings, but it will focus on tightening and reformulation.  It will first consider the different sources of slow performance.  Then, a set of guidelines that provides a disciplined, organized methodology for tightening MIP models to obtain better performance will be presented.  These guidelines can help practitioners with limited familiarity of the theory behind strengthening MIP models, as well as those with a deeper MIP background.

Slides

Recording

Practical Guidelines for Solving Difficult Mixed Integer Programs
Ed Klotz, PhD, Mathematical Programming Specialist, IBM ILOG CPLEX, IBM Software Group
July 24, 2013

07:00 Pacific, 10:00 Eastern, 16:00 CET

Mathematical optimization is IT's best kept secret. It is quite surprising that a technology that can achieve extraordinary return on investment isn’t used more. This talk will review a series of obstacles to pervasive use of optimization by business users. We will also review possible answers and best practices. In turn these may lead to new research directions to make OR tools easier to consume by business users.

Slides 

Recording

Technical Lessons Learned While Selling Optimization To Business Users
Jean-Francois Puget, PhD, Distinguished Engineer, Industry Solutions Analytics and Optimization, IBM Software Group
June 26, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

Learn about the latest ILOG CPLEX Optimization Studio release: version 12.5.1

  • Specifically we will discuss
  • Performance improvements in CPLEX Optimizer
  • Enhanced capabilities in developing distributed parallel applications using CPLEX remote objects.

Remote objects allow users to create CPLEX objects on remote computers and use them transparently as if stored on local computer.  Local applications using remote object functionality can not only benefit from performance increases in version 12.5.1 but also exploit more powerful remote hardware.

Slides

Recording

ILOG CPLEX Optimization Studio 12.5.1
Roland Wunderling, CPLEX Optimizer Architect
May 22, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

Learn about CP Optimizer's modeling and solving capabilities, including constraint based scheduling.

Slides

Recording

CP Optimizer: CPLEX Studio's Constraint Programming Engine
Paul Shaw, PhD, Program Manager, ILOG Constraint Programming, IBM Software Group
April 24, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

This presentation will describe in detail the SPSS Connector functionality that was implemented with CPLEX Optimization Studio 12.4, as well as showing demos on its use.



This functionality enables OR developers to incorporate SPSS technology based streams as data feeds to their optimization (OPL) models. In SPSS Modeler the user can create streams which can incorporate several data transformation and/or predictive analytics techniques such as statistical forecast/data mining/decision tree/neural network. Thru the SPSS Connector in CPLEX Optimization Studio, the user can connect to any node of such streams execute them and feed the data to the optimization (OPL) model.

Slides

Integration Between Predictive and Prescriptive (Optimization ) Analytics
Ferenc Katai, Ph.D, IBM ILOG CPLEX Optimization Studio Product Manager
March 27, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

This session will cover the many ways that Optimization can be integrated to an IT system, exploring the diverse methods of integration used in real implementations while discussing the different drivers behind each method.

Slides

Integrating Optimization Solutions in your IT Environment
John Chaves, Solutions Architect
February 27, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

This session will present an overview and demo of our Complex Project Scheduling solution built on top of ODM Enterprise. Join us to see how this solution can be leveraged for multiple industries and use cases, for instance to optimize manufacturing projects or to support real-time maintenance requirements.

Slides

Recording

Complex Project Scheduling
Etienne Pelletier, IBM ILOG Optimization Product Manager
January 23, 2013

07:30 Pacific, 10:30 Eastern, 16:30 CET

This meeting features a presentation by Ferenc Katai on how to write good optimization models using IBM ILOG CPLEX Optimization Studio's Integrated Development Environment (IDE) and its debugging support .

Slides

Recording 

Modelling Best Practices
Ferenc Katai, Ph.D, IBM ILOG CPLEX Optimization Studio Product Manager