Speaking Engagement: National Manufacturing Week, March 23, 2006 at Rosemont, Chicago
Session: DEA and Supply Chain Intelligence
Speakers: Mr. Milind Patil
Abstract: Today almost all the organizations, that have implemented Transaction Automation Systems like ERP, look forward to invest in Decision Support Systems for further productivity improvement. If few variables are involved in a decision making process it becomes easy to measure performance of a decision-making unit (Manufacturing Plant, Warehouse, Supplier etc.) and take corrective action. But increased focus on Supply Chain Management, has forced organizations to invest in Supply Chain wide metrics. This has added new dimensions of complexity to Business Analytics by increasing the number of variables to be addressed. There are several tools available in the market for Supply Chain Analytics, but most of them either rely on sequential analysis of metrics or formulate an index number for benchmarking across the industry. This is not the right way because each decision-making unit may have different policies for assigning weights to respective performance measure. In this presentation, we suggest the use of a Mathematical Programming Techniques like Data Envelopment Analysis (DEA) for Supply Chain Analytics and also propose the required architecture. This will help organizations to use the same tool for integrated benchmarking

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