Assessment of competition landscape for predictive maintenance
公司规模
1,000+
国家
- United States
产品
- SAP Predictive Maintenance
- IBM Predictive Maintenance
- SAS Predictive Maintenance
- GE Predictive Maintenance
- Oracle Predictive Maintenance
技术栈
- Predictive Analytics
- Data Integration
- Data Visualization
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 预测分析
适用功能
- 维护
用例
- 预测性维护
服务
- 数据科学服务
关于客户
The customer is a leading devices and services company operating in the Information Technology industry. Recognizing the future growth potential of value-added services in the machine to machine (M2M) market and the Internet of Things (IoT), the client sought to leverage data from physical assets to gain insights and transform their strategic and operational environment. The client identified predictive maintenance as a key area of opportunity and wished to understand its impact on their business and the competitive dynamics of the market.
挑战
The client, a leading devices and services company in the IT industry, recognized the potential of predictive maintenance in transforming their strategic and operational environment. However, due to the industry’s infancy, the client faced challenges in understanding the competitive dynamics and the impact of predictive maintenance on their business. They wished to gain insights into the market landscape of predictive maintenance offerings, including details such as key vendors, company background, details of offerings, launch timelines, use case stories, industry focus, and list of customers.
解决方案
Blueocean Market Intelligence was engaged to analyze the market landscape of predictive maintenance offerings. The research was spread over a period of ten weeks and implemented a 360-Degree Discovery Approach. The steps included identifying the top vendors offering predictive maintenance solutions, providing an overview of all vendors, and creating separate slides for each company with information on the company background, product overview, and a use case scenario for the company’s predictive maintenance solution. A separate report was created to compare all the key vendors in this space within different categories, such as provision for independent or add on solutions, department focus, integration capability, deployment options, and pricing.
运营影响
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
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.
