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Inventory Optimization,Auto Parts, Descrete Simulation, MIRP,AWS Job Integration with SAS
Microsoft® Word 2016
Aiming to use data and science to set service-level goals, Advance Auto Parts engaged CoreCompete to deliver a fully integrated service-level (Inventory) optimization system using SAS® Inventory Optimization and SAS/OR® software. The system has the ability to run inventory simulations and execute large-scale optimization for service-level goal optimization, leveraging the batch services on Amazon Web Services. A very large mixed integer optimization problem for inventory cost reduction is solved using the OPTMODEL procedure. The solution has the ability to recommend optimized service-level goals at the SKU/location level. System design integrates a simple Microsoft Excel user interface, data processing in Apache Hadoop, and optimization in SAS® in the cloud and the dashboards in SAS® Visual Analytics in order to review results. The end-to-end process flow for implementing simulations and optimization in large scale is discussed in this paper. <br/><br/>Lokendra Devangan, CoreCompete <br/><br/>Malleswara Sastry Kanduri, CoreCompete <br/><br/>Richard Dansoh, CoreCompete <br/><br/>Amy Mcarthur, Advance Auto Parts
Session 2794
en
jeff.foxx@sas.com
Aiming to use data and science to set service-level goals, Advance Auto Parts engaged CoreCompete to deliver a fully integrated service-level (Inventory) optimization system using SAS® Inventory Optimization and SAS/OR® software. The system has the ability to run inventory simulations and execute large-scale optimization for service-level goal optimization, leveraging the batch services on Amazon Web Services. A very large mixed integer optimization problem for inventory cost reduction is solved using the OPTMODEL procedure. The solution has the ability to recommend optimized service-level goals at the SKU/location level. System design integrates a simple Microsoft Excel user interface, data processing in Apache Hadoop, and optimization in SAS® in the cloud and the dashboards in SAS® Visual Analytics in order to review results. The end-to-end process flow for implementing simulations and optimization in large scale is discussed in this paper. <br/><br/>Lokendra Devangan, CoreCompete <br/><br/>Malleswara Sastry Kanduri, CoreCompete <br/><br/>Richard Dansoh, CoreCompete <br/><br/>Amy Mcarthur, Advance Auto Parts
Microsoft® Word 2016
2018-03-16T19:18:38.000+05:30
2018-03-16T19:18:38.000+05:30
2018-04-03T15:47:13.092-04:00
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application/pdf
2018-04-03T15:47:12.975-04:00
Devangan,Lokendra Kumar;Dansoh,Richard,Kanduri;Malleswara Sastry, McArthur;Amy
Inventory Optimization
Optimizing Inventory of Slow-Moving Products Using SAS® Optimization
uuid:86AF88ED-1B95-435F-B911-B504C8DFC32C
uuid:86AF88ED-1B95-435F-B911-B504C8DFC32C
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support:sgf-papers
year:2018
industry:5150
software:OPTOFR
support:sgf-papers/session-type/breakout
support:sgf-papers/skill-level/advanced
support:sgf-papers/topic/industry-specific-solutions
support:customer-roles/data-scientist
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