下载PDF
Astrazeneca Unifies Tracking

技术
- 功能应用 - 仓库管理系统 (WMS)
适用行业
- 药品
适用功能
- 设施管理
用例
- 供应链可见性(SCV)
- 仓库自动化
服务
- 数据科学服务
挑战
阿斯利康需要遵守越来越多的国家特定法规,要求产品可通过供应链进行追溯。为了满足这些规定,阿斯利康不仅要改变现有的仓库流程,还要为仓库和生产人员配备设备,使他们能够有效地记录产品到销售包装的移动。 AstraZeneca 还希望为检验员和销售代表提供直接在现场验证产品状态的方法。
客户
阿斯利康
关于客户
AstraZeneca plc 是一家英国-瑞典制药和生物技术公司,总部位于英国剑桥的剑桥生物医学园区。其产品组合主要针对肿瘤、心血管、胃肠道、感染、神经科学、呼吸和炎症等领域的主要疾病。它已参与开发牛津-阿斯利康 COVID-19 疫苗。
解决方案
产品可追溯性已成为整个制药行业的一项关键任务、许可操作要求
Honeywell Forge Track & Trace 之所以被选中,是因为它是市场上最适合此类涉及大量移动扫描设备(智能手机、叉车、拣货台等)的关键任务操作的解决方案。它开箱即用与 SAP Track & Trace 和 SAP WM/MM 集成,快速开发(一次构建并在 8 个不同平台上运行)以及对 3rd 方设备的安全支持使该平台非常适合满足全球跟踪和跟踪要求。
消费者体验也很重要,因为该应用程序必须非常易于使用,包括最少的培训,而 Honeywell Forge 也可以轻松实现这一点。
运营影响
相关案例.

Case Study
Case Study: Pfizer
Pfizer’s high-performance computing software and systems for worldwide research and development support large-scale data analysis, research projects, clinical analytics, and modeling. Pfizer’s computing services are used across the spectrum of research and development efforts, from the deep biological understanding of disease to the design of safe, efficacious therapeutic agents.

Case Study
Fusion Middleware Integration on Cloud for Pharma Major
Customer wanted a real-time, seamless, cloud based integration between the existing on premise and cloud based application using SOA technology on Oracle Fusion Middleware Platform, a Contingent Worker Solution to collect, track, manage and report information for on-boarding, maintenance and off-boarding of contingent workers using a streamlined and Integrated business process, and streamlining of integration to the back-end systems and multiple SaaS applications.

Case Study
Process Control System Support
In many automated production facilities, changes are made to SIMATIC PCS 7 projects on a daily basis, with individual processes often optimised by multiple workers due to shift changes. Documentation is key here, as this keeps workers informed about why a change was made. Furthermore, SIMATIC PCS 7 installations are generally used in locations where documentation is required for audits and certification. The ability to track changes between two software projects is not only an invaluable aid during shift changes, but also when searching for errors or optimising a PCS 7 installation. Every change made to the system is labour-intensive and time-consuming. Moreover, there is also the risk that errors may occur. If a change is saved in the project, then the old version is lost unless a backup copy was created in advance. If no backup was created, it will no longer be possible to return to the previous state if and when programming errors occur. Each backup denotes a version used by the SIMATIC PCS 7 system to operate an installation. To correctly interpret a version, information is required on WHO changed WHAT, WHERE, WHEN and WHY: - Who created the version/who is responsible for the version? - Who released the version? - What was changed in the version i.e. in which block or module of the SIMATIC PCS 7 installation were the changes made? - When was the version created? Is this the latest version or is there a more recent version? - Why were the changes made to the version? If they are part of a regular maintenance cycle, then is the aim to fix an error or to improve production processes? - Is this particular version also the version currently being used in production? The fact that SIMATIC PCS 7 projects use extremely large quantities of data complicates the situation even further, and it can take a long time to load and save information as a result. Without a sustainable strategy for operating a SIMATIC PCS 7 installation, searching for the right software version can become extremely time-consuming and the installation may run inefficiently as a result.

Case Study
Drug Maker Takes the Right Prescription
China Pharm decided to build a cloud-based platform to support the requirements of IT planning for the next five to ten years which includes a dynamic and scalable mail resource pool platform. The platform needed to have the following functions: all nodes support redundancy, ensuring service continuity and good user experience, simple and easy-to-use user interfaces for end users and administrators and good compatibility and supports smooth capacity expansion.

Case Study
ELI LILLY ADOPTS MICROMEDIA’S ALERT NOTIFICATION SYSTEM
Pharmaceutical production is subject to a strict set of enforced rules that must be adhered to and compliance to these standards is critically necessary. Due to the efforts of WIN 911’s strategic partner Micromedia, Lilly was able to adopt an alarm notification infrastructure that integrated smoothly with their existing workflows and emergency hardware and protocols. These raw energy sources enable the industrial process to function: electricity, WIN-911 Software | 4020 South Industrial Drive, Suite 120 | Austin, TX 78744 USA industrial steam, iced water, air mixtures of varying quality. Refrigeration towers, boilers and wastewater are monitored by ALERT. Eli Lilly identified 15000 potential variables, but limitations compelled them to chisel the variable list down to 300. This allowed all major alarms to be covered including pressure, discharge, quantity of waste water discharged,temperature, carbon dioxide content, oxygen & sulphur content, and the water’s pH.