下载PDF
Supply Chain Prescriptions Translate to $2 Million in Bottom-line Value for a Global Pharmaceutical Company
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 分析与建模 - 数据即服务
适用行业
- 药品
适用功能
- 物流运输
用例
- 库存管理
- 供应链可见性(SCV)
服务
- 数据科学服务
- 系统集成
挑战
In the pharmaceutical business, the time from raw material extraction to delivery of a finished product can be protracted. Such was the case highest performing product for a global pharmaceutical company. Sold all over the world under different brand names, Isotretinoin is manufactured using ingredients sourced from multiple suppliers worldwide and is distributed from global packing facilities by both sea and air. The company set out to develop a supply chain strategy that would help ensure that Isotretinoin retained its top revenue-generating status in the market. Specifically, they wanted to understand the impact of different supply chain configurations, inventory, total costs and customer service. They partnered with Antuit and its team of supply chain optimization experts to explore how variables such as lead times, minimum order quantities, batch sizes, production yields, inventory buffer stocks and testing costs could impact service delivery performance and profitability.
关于客户
Antuit is a global analytics solutions provider primarily serving the retail & eCommerce, consumer products, and manufacturing & logistics industries. Since 2013, Antuit has been on a mission to help leading multi-national and high-growth companies predict, shape and meet demand. Combining deep domain expertise with proprietary solutions and technologies like machine learning and AI, Antuit delivers revenue and margin growth, improved supply chain efficiency, and enhanced customer experiences.
解决方案
Over a two-month period, Antuit conducted two streams of work—strategic network design to determine the optimal supply chain network for specific goals as well as constraints and inventory optimization to determine safety stock levels across the supply chain. The team developed a baseline model to quantify DPL’s existing cost to serve its customers. With this model in place, the team was then able to answer strategic questions such as: How changes in production capacities and warehouse constraints affect the optimal network and flow of product through the supply chain. How changes in packing and testing locations impact the cost to serve. How much safety stock is needed to achieve the desired level of service. Antuit conducted several different scenarios, including the introduction of new manufacturing plants, packing locations, alternative transportation modes and more. The strategic models projected cost impacts for each scenario and helped DPL arrive at a number of actionable and illuminating insights. Among them, that the opening of a new packaging plant—an option under consideration—would not be as profitable as anticipated and that air was the preferred mode of transportation over sea.
运营影响
数量效益
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.
