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Supply Chain Scenario Modeler (SCSM): A Holistic Decision Support Solution
The Decision Support solution that is discussed in this paper is America’s oldest and largest healthcare services company McKesson which distributes more than one-third of all pharmaceutical products in North America. McKesson ships 2 million orders a day to more than 26000 customer’s locations. Before the decision support system was implemented for McKesson, an integrated approach to decision making in its supply chain operations was missing though they were already using state-of-the-art software for its operations. For this IBM Research OR team developed a model to assist McKesson decisions i.e. supply chain scenario modeler (SCSM), to optimize its end-to-end pharmaceutical supply chain policies. This model ensured that the policies governing key areas be synchronized. Unlike a black-box solution this approach would answer “what-if” questions by estimating the impacts of potential actions and key operations. The aim was to connect the outputs of SCSM to a profit-Loss statement so that the impact of policy changes can be viewed in terms of financial metrics. The integrated OR solution that includes 1. Comprehensive data model to represent the dynamics of the company’s operations and capture McKesson’s management processes and policies 2. A user interface to allow optimization and what-if analysis 3. A flexible reporting module to create extensive reports of scenario results.
For achieving this integrated solution, many technical, managerial, and political challenges have been faced in creating SCSM for McKesson. Some technical challenges are a need of sophisticated mathematical models, algorithms for analytics engine and the complexity of integrating and bridging engines to provide a coherent solution for decision support. Due to

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