"By far the most interesting aspect of the study was the range of solutions the GA technique generated. This allowed the District to review potential combinations of facilities which were not considered as part of the District's master planning process."
Optimizer WSS is decision support software for the management of water supply catchments, water production and bulk water transfers. One of the major challenges for water utilities is developing annual operating plans to balance cost-effective production and transfer of water over the medium term, with risks associated with the security of water supplies over the long term.
Optimizer WSS assists water utilities to develop annual operating plans that optimize these dual objectives of cost and risk.
This software represents a major leap forward in water resources planning.
Firstly, the use of optimization methodologies and technologies provide water utilities with the means to rapidly plan near-optimal operating regimes for their water supply systems, leading to considerable economic and reliability benefits. Secondly, client-driven functionality provides for multi-objective optimization and planning under uncertainty, allowing decision makers and stakeholders to easily explore the impacts of various different operation regimes and compare trade-offs between objectives of importance, such as cost and water supply security.
Stakeholders benefit from the use of a transparent decision-making framework that removes subjectivity, provides justification for decisions, and enables improved communication of planning outcomes. The optimization framework ensures that the decisions, constraints and success measures are clearly defined. Stakeholders are able to understand the assumptions and options being considered in the planning process, and where appropriate provide input either through formulation of the optimization problem, proposing a range of “what-if” scenarios for investigation, or through input into the multi-criteria analysis process that enables stakeholders to indicate their relative preferences for each objective.