R2017-91 Professional Services Agreement with Quetica, LLC for Decatur Supply Chain Study CP 2014-06

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2.2 Network Capacity Data Collection and Cleansing Quetica will collect, analyze and cleanse the freight network capacity data including current state network and future expansion. The network data includes major highways,rail tracks and control systems, airports, and freight facilities, etc. in the region. The electronic network data is typically collected from a travel demand model in the region. Quetica proposes to include road and rail network data and perhaps also the air freight network. The data will be cleansed and analyzed to determine total network capacity for freight, currently used capacity, and free capacity. The cleansed network data will be used to develop the capacity module within the supply chain model and analyze network capacity constraints for the base and forecast years and verify network capacity constraint analysis results with stakeholders. 2.3 Supply Chain Model Development(Baseline Model Development): Quetica will design and build the Decatur Regional Optimization Model (DROM)using the disaggregated FAF data, disaggregated import/export data, and desensitized and aggregated private shipment data to build the demand module, as well as Quetica's extensive proprietary supply chain benchmark database developed over the years. This model will be loaded with base year and forecast year demand data to analyze baseline (as-is) network costs and other performance metrics and review the baseline results with the stakeholders. 2.4 Baseline Optimization and Constraint Analysis: Leveraging the baseline model from the previous task Quetica will run Quetica's optimization algorithms developed using linear and integer programming technologies to build a baseline optimization model and conduct a constraints analysis by contrasting the baseline results to an optimized network. The optimized network modeling will focus on identifying and evaluating network design alternatives to address constraints and achieve the optimization objectives in the current state network. The design alternatives will be ranked based on total market and cost saving opportunities. Key findings in constraint analysis will be discussed in meetings with city leaders and subject matter experts. 2.5 "What-if' Scenario Analysis Quetica will collaborate with Decatur leaders to finalize and prioritize the "what-if' scenarios. Quetica will run up to 5 "what-if' scenarios to identify infrastructure investment opportunities that would deliver significant transportation cost savings to companies in the study area. The scenario runs will identify the areas (latitude and longitude) of new facilities, logistic functions of the facilities, freight density and total market opportunities. It is anticipated that at least one of the five identified what-if scenarios will explore service options for domestic intermodal services from the inland port. In addition to the five "what-if' scenarios to be determined through collaboration with Decatur leaders, a specific scenario will be run examining the impacts resulting through a direct rail connection to west coast ports. (The two alternatives at this point would include links to west coast ports via UP in Pana, IL or NS in Kansas City). 2.6 Identify Potential Strategies/Projects: Last Revised:2017-06-01