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January - May 2009
CSX Transportation engaged Innovative Scheduling to update its operating plan for the merchandise network. This project consisted of revising its current operating plan, known as One Plan, by taking into account the changes in traffic demands and traffic patterns in the past few years. Innovative Scheduling also performed several studies related to yard rationalizations. We analyzed the impact of downgrading/closing several yards on system-wide cost and yard volumes, and recommended some yard closures. These studies also determined that when traffic volumes increased in future, which yards would then attract greater volumes. Our recommendations have been and are still being used by CSX.
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December 2008
CSX Transportation A US Class I railroad hires Innovative Scheduling to analyze various yard configurations for a large intermodal yard that is being built with state-of-the-art technology and incurring significant capital expenses. Innovative Scheduling developed IYSO that can simulate yard operations, determine yard productivity, and identify bottlenecks.
IYSO analyzed different operating plans and determined the block and train volumes that can be handled in the yard. It also analyzed various yard layouts, identified bottleneck operations, made changes to the layout to eliminate bottlenecks, and demonstrated that the suggested changes will increase its effective car handling capacity by more than 15%. The railroad company incorporated all the recommendations by IYSO in the final layout which is now under construction.
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November 2008
CSX Transportation licenses the Innovative Locomotive Planning Optimizer (ILPO) from Innovative Scheduling and starts integrating it with the LFPS (Locomotive and Fuel Plan System).
When in production, ILPO will generate an optimized locomotive plan for CSX’s scheduled train network (merchandise, auto, and intermodal trains). As the CSX train plan undergoes changes on a weekly basis, ILPO will revise its locomotive plan and keep it current. Extensive computational tests of ILPO on the CSX data have demonstrated that ILPO can generate implementable locomotive plans and reduce the locomotive operating costs by 3% to 5%.
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August 2008
CSX Transportation entered into a Development Partnership with Innovative Scheduling to build and deploy the Innovative Locomotive Shop Router(ILSR) decision support system.
ILSR directs locomotives to shops so that they arrive at shops for quarterly maintenances on time and consistent with shop capacities. Since this system has been put into production, the number of out-of-service locomotives has decreased significantly.
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July 2008
Pacer Stacktrain a transporter of container loads over rail networks, has hired Innovative Scheduling to develop a network planning system to assist in their empty container distribution.
With containers often being in short supply when demands are high, customer demands often go unmet. This system assists Pacer in determining the number of containers to lease in order to meet its customer demand optimally. This model is also being used to perform a variety of what-if studies related to container supply and distribution.
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December 2007
Under a Development Partnership with CSX Transportation, CSX Transportation selects Innovative Scheduling for Development Partnership Innovative Locomotive Simulation Optimizer (ILSO) decision support system.
ILSO simulates locomotives in a railroad network and assesses network performance measures, such as locomotive utilization, locomotive terminal dwell times, shop queues and shop productivity. The system assists locomotive management at CSX in making strategic and planning decisions related to locomotive acquisition, fleet mix, shop locations, and shop capacities.
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December 2006
BNSF Railway licensed Innovative Scheduling’s Innovative Railroad Blocking Optimizer (IRBO) and integrated with its planning system,ESD (Enhanced Service Design).
BNSF uses IRBO for various planning purposes: to update its blocking plan as traffic patterns and volumes change, to reduce blocking costs, encourage the flow of railcars in certain corridors, and yard location and capacity analysis. Innovative Scheduling continues to assist by providing maintenance services to BNSF, as well as performing various enhancements and upgrades needed to better meet its evolving planning needs.
Norfolk Southern is using IRBO to identify opportunities to improve its blocking plan and for various strategic and planning studies. IRBO is now an integral part of its railroad planning suite.
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January 2004 – November 2008
The NSF (National Science Foundation), the premier research funding agency in the US, has awarded research grants to Innovative Scheduling to build the Innovative Railroad Blocking Optimizer (IRBO).
Innovative Scheduling received these highly competitive Phase I, Phase II, and Phase IIB grants to perform the research needed to develop the optimization engine for IRBO and various enhancements, as well as to build the web-based decision support system to integrate the IRBO engine with databases, reports and maps.
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May 2004 – April 2006
BNSF Railway seed funding to Innovative Scheduling to build Innovative Train Scheduling Optimizer (ITSO), an interactive web-based decision support system to solve train schedule design problems. This funding would develop the first version of ITSO, an optimization engine to create a railroad’s train plan taking into account all essential train operating costs (railcars, crews, and locomotives) and honoring network capacities (tracks and yards).
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January 2004 – December 2004
Innovative Scheduling, in partnership with MultiModal Applied Systems (now a subsidiary of Oliver Wyman), used the Innovative Railroad Blocking Optimizer (IRBO) to develop CSX’s blocking plan that went into production in 2004. Innovative Scheduling also engaged in a study to determine optimal yard locations and yard capacities. This quantitative study provided deep insights that CSX used in its yard rationalization exercises.
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February 2003
An optimization engine for allocating a supply of Toyota (with different configurations) to meet the demand of various dealers in a fair and equitable manner, has been developed by Innovative Scheduling. This decision problem arises when there is an insufficient supply of cars to meet the dealer’s demand, and the demand needs to be met proportionately. This engine is now an integral part of Toyota’s distribution planning system.
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January 1999 - December 2001
United Airlines awarded Innovative Scheduling several grants to develop algorithms and prototype software for solving fleet scheduling problems. These models that were developed through this funding include the Combined Through and Fleet Assignment Model (ctFAM), multicriteria ctFAM, and ctFAM with time windows. These models demonstrated potential annual savings of $25 million to $50 million.
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