技术
- 平台即服务 (PaaS) - 应用开发平台
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 医疗保健和医院
- 药品
适用功能
- 维护
- 仓库和库存管理
用例
- 需求计划与预测
- 库存管理
关于客户
iNova Pharmaceuticals 是一家全球制药公司,开发、营销和销售各种处方药和非处方消费保健品。该公司业务遍及 20 多个国家,分销商遍布亚洲、澳大利亚、新西兰和南非。 iNova 拥有 500 多名员工,提供的产品组合涵盖体重管理、咳嗽、感冒和流感、疼痛管理、保健品、皮肤科、防晒和女性保健产品。自 2017 年以来,在新的所有权下,iNova 一直专注于扩大其产品范围。该公司的增长战略需要采用统一、同步的方法来进行供需规划、销售和运营规划以及库存管理。
挑战
iNova Pharmaceuticals 是一家在亚洲、澳大利亚、新西兰和南非开发、营销和销售各种处方药和非处方消费者保健产品的公司,在规划过程中面临着重大挑战。公司的增长目标需要采用统一、同步的方法来进行供需规划、销售和运营规划以及库存管理。然而,他们对基于 Excel 的规划的依赖导致流程分散,且在不同地区各不相同,从而损害了可持续性。如果关键电子表格的所有者离职,公司就会面临风险,而且整个团队对电子表格的使用不一致会阻碍最佳实践的采用。此外,特定地区的数据导致了不同的规划流程,整个规划系统没有单一的事实来源。时间被浪费在将数据加载到互不相关的解决方案中并分析其中的信息,这些解决方案的存在只是为了弥补电子表格中的功能差距。安全库存情景规划繁琐且难以实施,导致企业面临缺货或供应过剩的风险。
解决方案
为了克服这些挑战,iNova 于 2019 年实施了 Logility 的数字供应链平台,作为其增长战略的关键组成部分。该平台提供了面向未来的灵活技术来支持其扩张计划。在实施 Logility 平台之前,iNova 依靠电子表格、集成 ERP 和数据仓库以及第三方分析工具来规划和衡量其业务。借助 Logility 的数据管理、需求和供应计划、补货计划和分析的集成解决方案,iNova 分散且耗时的操作框架变得大大简化。流程自动化节省了规划人员的时间,并允许进行统计预测,从而释放资源以集中于大批量且不稳定的 A 级 SKU。 Logility 平台还提供用户定义的多级预测,这是 iNova 支持其 S&OP 流程的关键技术。当单个 SKU 发生更改时,此预测功能会自动更新组级预测,从而节省时间,反之亦然。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
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
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.