下载PDF
Grupo Hefame: Managing hundreds of thousands of orders every day to deliver on time to a growing customer base
技术
- 基础设施即服务 (IaaS) - 云存储服务
- 基础设施即服务 (IaaS) - 混合云
- 基础设施即服务 (IaaS) - 私有云
适用行业
- 药品
适用功能
- 物流运输
- 销售与市场营销
用例
- 供应链可见性(SCV)
- 库存管理
服务
- 云规划/设计/实施服务
- 系统集成
挑战
Grupo Hefame 是一家位于西班牙的药品经销商,面临着行业内日益激烈的竞争。该公司的目标是超越其最接近的竞争对手,成为西班牙第二大经销商。然而,随着业务的增长,对 Grupo Hefame SAP 系统的需求也不断增加。该公司意识到其现有的服务器和存储基础设施很快就会无法支持其运营,因此决定寻找一个新平台来支持其增长目标。
关于客户
Grupo Hefame 是一家位于西班牙穆尔西亚的制药合作社。该公司通过遍布西班牙的办事处和仓库网络分销医药产品,目前是该国三大医药分销商之一。该公司依靠 SAP 解决方案来顺利推动运营,包括订单管理、物流和发票。随着公司业务的增长,对其 SAP 系统的需求也不断增加,导致公司意识到其现有的服务器和存储基础设施很快就会无法支持其运营。
解决方案
为了支持其基础设施更新,Grupo Hefame 聘请了 IBM 业务合作伙伴 AGEDOS Business Datacenter 的专家。AGEDOS Business Datacenter 提出了一种基于 IBM® Power System S824 服务器的主动-主动数据中心配置,该服务器连接到 IBM FlashSystem® 固态存储,提供超低延迟和经济高效的 IBM Storwize® V5000 磁盘系统。新环境使用 IBM PowerVM® 软件进行虚拟化并运行 IBM AIX® 操作系统,并通过 IBM PowerHA® 软件配置高可用性。IBM 业务合作伙伴还通过实施使用 IBM Spectrum Virtualize™ 软件构建的 IBM SAN Volume Controller 来帮助虚拟化 Grupo Hefame 的存储环境,定义了基于 IBM San Volume Controller Stretched Cluster 的主动-主动存储架构。
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.