SmartPSC (Smart Pharma Supply Chain): Application of digital technologies to integrate pharma manufacturing supply chain and enhance efficiency, productivity, flexibility, resilience, and sustainability

为了满足国内和国际药品需求，小型和大型制药公司都需要使用多个供应商。协调这些独立的公司并制定一个综合计划，以确保患者安全地获得他们需要的药物，这需要付出巨大的努力。计划的任何更改都需要时间和精力来管理，这会造成浪费。为了增加复杂性，为了签署一批药物，质量受权人（QP，确保特定公司患者安全的人）必须查看所有这些数据，以便合法地将药物释放到供应链中。收集这些数据的挑战可能会增加延迟。随着患者需求的变化，人口沿着老龄化，以及药品日益复杂等其他制约因素，供应链中更多的环节将转向混合公司模式，这将给定价和公司兑现承诺的能力带来压力。行业不可能永远“投入更多的人”来解决问题。数据科学可以使人们简化信息的流动，并以不同的方式看待这些问题。一旦解决了数据的传递问题，甚至可以通过使用机器学习（ML）和人工智能（AI）解决方案将一些决策迁移到电子系统中。这将使资格审查小组能够集中精力处理重要问题。SmartPSC旨在应用这些技术来减少浪费，提高速度并改善药物的可及性。创建一个模板来实现这一目标将是复杂的，因为这意味着连接工作方式和尚未连接的系统，以及克服数据安全挑战。该项目旨在通过利用专业知识和能力，为实现这一集成供应链愿景奠定基础在英国制药供应链（SC）内的一组小型和大型公司之间提供两个工作包：1\。设计并实施一种方法，让每个人都以快速可用的格式共享他们的信息，这样它就可以在公司之间无缝安全地移动，这样我们就可以构建供应链的实时多公司视图。链接来自多家公司的数据，以便QP能够快速安全地做出决策。通过在此范围内交付，我们将能够为未来的供应链提供模板。

In order to meet National and International medicines demand, both small and large pharmaceutical companies need to use multiple suppliers. It takes significant effort to coordinate these separate companies and create an integrated plan that safely ensures patients get the medicines they need. Any changes to the plan take time and effort to manage and this creates waste.To add to the complexity, in order to sign off a batch of medicines, a Qualified Person ( QP, the person who assures patient safety for a given company) must see all of this data in order legally to release the medicines into the supply chain. The challenge of assembling this data can add delay.As the requirements of patients change, with an older population along with other constraints such as increasing complexity of medicines, more of the supply chain will migrate towards mixed-company models, putting stress on pricing and the ability of companies to deliver on their promises. The industry can't just 'throw more people at it' forever to solve the problem.Data science can enable people to streamline the movement of information and look at these problems differently. Once the passage of data has been solved it will even be possible to migrate some of the decisions to electronic systems by using Machine Learning (ML) and Artificial Intelligence (AI) solutions. This would allow QPs to focus on important questions. SmartPSC aims to apply these technologies to reduce waste, increase speed and improve access to medicines.Creating a template by which this can robustly be done will be complex, as it will mean connecting ways of working and systems that have not standardly been connected as well as overcoming data security challenges.This project aims to create the foundation for delivering this integrated supply chain vision by leveraging expertise and capabilities across a group of small and large companies within the UK pharma supply chain (SC) to deliver two work packages:1\. Designing and implementing a way to get everyone to share their information in a quickly usable format, so it can move seamlessly and securely between companies so that we can build a real-time multi-company view of the supply chain.2\. Link data from multiple companies so a QP can quickly and safely make decisions.By delivering on this scope, we will be able to template future supply chains.