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

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Exhibit A SCOPE OF WORK DECATUR SUPPLY CHAIN STUDY Quetica will use a demand-based supply chain network design and optimization approach to support the City's multimodal port network planning and optimization initiative. This approach is proven in the private sector. Quetica has developed an innovative methodology to utilize similar techniques, tools, and optimization algorithms successfully for public sector freight planning. The approach includes the following steps: • Assessing and categorizing demand in Decatur Region's supply chain network. Demand will be measured by the commodities shipped, locations to where these commodities need to be delivered, and the services required and transportation costs. The demand analysis includes current(or base) year and forecast year to analyze current and forecast constraints in the transportation system. Quetica will leverage the public sector data it has collected and disaggregated, as well as private sector data it has collected over the years and will collect from the project stakeholders in demand analysis. A demand module will be built using both the public and private data. • Analyzing the existing multimodal network including pickup sites, warehousing, and other freight facilities, and access to highway, rail, and air freight network to meet the demand. A network module will be built to model the existing multimodal network. • Collaborate with the City to identify the possible demand change scenarios, prioritize the scenarios and develop metrics to meet the required service level standards in each scenario. • Build a baseline network model and measure the current network performance such as transportation costs and modal choices. • Run optimization algorithms to analyze the network performance and identify opportunities to improve the existing network without changing the under- lining network infrastructure. • Run"what-if' scenarios based on the categorized scenarios to identify alternative designs for network planning and optimization in each scenario, using quantitative measurements, such as cost and service level. The "what-if' analysis will identify opportunities to develop logistics solutions such as freight consolidation facilities, transloading facilities, container yard, warehousing, etc. to improve the network. Return on investment analysis will be conducted and a business case will be developed for each recommended logistics solution. Quetica understands that freight payment data is the best source of information(e.g. Bills of Lading, Tariffs, Pro's, etc.) to conduct transportation network optimization analysis, design and management. They leverage this data to its maximum benefit, using it with sophisticated Last Revised:2017-06-01