SBIR Phase II: Enterprise Decision Making Using Activity Interaction Technology

这项小企业创新研究（SBIR）第二阶段项目旨在进一步研究和实施一种网络算法，以有效地运行大规模网络模拟，并使用这些模拟来执行企业规划和风险分析。该公司的算法（以及相关的早期发布软件）已经被证明比当前通常部署的模拟模型运行供应链模型的速度快一个数量级，复杂性也高一个数量级。Bioproduction Group创建了一种模拟方法，将高度详细的操作级别模型与其大型网络规模模型有意义地联系在一起。每个操作模拟都由网络关系连接起来，例如供应和需求、产品路径流和库存持有中心。Bioproduction Group已经收到了几家生物技术公司的合同，这些公司将在生物制药生产中实施这项研究的先进原型。目标是使用该模拟器将整个行业的生物制药库存水平降低10%或更多，同时降低整个制造网络的风险。如果在大型企业中成功部署，相信这种库存减少每年将为每个组织带来超过2000万美元的回报。这项技术有潜力用于整个生物制药行业，以提高对患者的护理质量，并降低制造成本。这些目标对整个公共和私营医疗保健部门数十万患者具有显著的直接流动储蓄效益。

This Small Business Innovation Research (SBIR) Phase II project seeks to further research and implement a Network Algorithm for efficiently running large-scale network simulations and using those simulations to perform enterprise planning and risk analysis. The company's algorithms (and associated early-release software) have been shown to run supply chain models one order of magnitude faster, with one order of magnitude more complexity, than current simulation models commonly deployed. Bioproduction Group has created a simulation methodology that meaningfully links together highly-detailed operational level models with its large network-scale model. Each operations simulation is linked by network relationships such as supply and demand, product path flows, and inventory holding centers. Bioproduction Group has received contracts with several biotech firms to implement advanced prototypes of this research in biopharmaceutical manufacturing as they come online. The goal is to use this simulator to reduce biopharmaceutical inventory levels across the industry by 10% or more, while reducing risk across the manufacturing network. If successfully deployed in a large enterprise, it is believed that this inventory reduction would have a yearly return of more than $20mm per organization. The technology has the potential to be used across the biopharmaceutical industry to increase quality of care to the patient as well as reduce manufacturing costs. These goals have significant direct flow-on savings benefits to the hundreds of thousands of patients across the entire public and private healthcare sector.