ILOG have announced the Optimisation Decision Management System (ODMS), the industry's first complete system for building custom, optimisation-based planning and scheduling applications. With this system, users across industries can harness the power of optimisation technology for developing state-of-the-art decision support applications that solve complex business problems ranging from near real-time scheduling to long-term strategic planning. Applications built using ODMS provide business users with the ability to perform what-if analysis and scenario comparison so they can understand their options and balance their conflicting business goals. ODMS also provides a platform for business users, IT and operations research experts to work collaboratively in building and refining planning and scheduling applications.
Optimisation software is an effective method for planning and scheduling in many Global 200 companies and organisations worldwide. However, prior to ODMS, a complete set of optimisation modeling and application development tools was not available. Users were forced to either make do with generic applications that didn't fit their business, use Microsoft Excel-based models that were limited in their ability to find optimal solutions, or build custom applications from scratch with little assistance. None of these solutions made it easy to deliver the quality of what-if analysis and explanations needed to truly support the decision making process, and sometimes, even failed to find the optimal solutions to business problems.
ILOG's ODMS allows organisations to leverage the power of optimisation whether or not they have operations research professionals on staff. It brings together ILOG's market-leading optimisation engines, ILOG CPLEX and ILOG CP(tm) for constraint programming with its development tools, ILOG OPL-CPLEX Development System for model development and ILOG ODM(tm) (Optimisation Decision Manager) for application development. The complete system supports the development of multiple types of optimisation-based applications, ranging from strategic planning applications to detailed scheduling applications. The system also supports the complete model and application development process, starting with quick prototyping through model and application refinement, to application deployment and maintenance.
"Every business routinely faces complex planning and scheduling challenges. Part of the issue is the unique nature of the tactical optimisations that each company attempts to tackle. Traditionally Optimisation engines require operations research PhDs to program and the available software development environments lacked advanced optimisation tools. ILOG has bridged this gap with the introduction of its Optimisation Decision Management System," wrote Bob Parker, Vice President of Research at IDC Manufacturing Insights in a recent research document. "Underpinned with its highly regarded optimisation engines for both mathematical and constraint solving, ODMS generates decision models that can be used by business people to solve complex business problems."
Using ODMS, businesses can now more easily consider building a custom planning or scheduling application. Everyday business situations such as determining the optimal electric power generation plan in the utilities industry, determining advertising schedules that honor contractual obligations, or scheduling workers while considering skills, preferences, and vacation requests are all decision making problems that can benefit from ILOG's ODMS. Whether a finance professional or a supply chain executive is looking for cost savings opportunities or a marketing manager is trying to decide upon the optimal campaign strategy, all these users can now effectively harness the power of optimisation to reach the best possible business decision.
"We have been successfully using ILOG's optimisation technology to build custom planning and scheduling systems for many years and they have proved their leadership once again with ODMS," said Kazu Inoue, Director, NS Solutions. "We believe these tools will help companies build even better decision support applications in the future."