下载PDF
QlikView Business Discovery Platform Improves Decision-Making for Toshiba Europe
技术
- 分析与建模 - 实时分析
用例
- 预测性维护
- 供应链可见性(SCV)
服务
- 数据科学服务
挑战
Toshiba Europe, a subsidiary of Toshiba Corporation, was seeking to improve its service quality, measure the performance of its outsourcing partners, and optimize its spare parts procedures. The company's customer service is supported in eight European countries by external customer contact centres that handle around 60,000 calls a month. The company wanted an analysis solution that could check whether the agreed service levels were being met by monitoring various key performance indicators (KPIs). In the repairs department, the aim was to analyse turn-round times on individual orders, so as to manage more efficiently the repairs and necessary logistics processes. The company was looking for an analysis solution that could be installed simply and quickly and then flexibly operated by the European specialist operations department itself. The system should avoid taking a toll on internal IT resources or incurring cost-intensive days spent on site by external consultants, as well as being capable of collating and analysing data without needing a special data warehouse.
关于客户
Toshiba Europe is part of the global operator Toshiba Corporation which with its workforce of 191,000 and an annual turnover of around U.S.$60 billion is one of the largest global IT and electronics firms. Toshiba Europe acts as European headquarters for electronic products ranging from computers, computerised systems, projectors, and storage media to consumer and entertainment electronics. So that it can successfully position products with short innovation cycles, such as laptops, digital cameras, DVD and MP3 players, on European markets long-term, Toshiba puts particular stress on a high-quality range. It also emphasises the major role played by equally high-quality service in its overall operations.
解决方案
Toshiba Europe decided to go for QlikView, which was up and running at Toshiba Europe within just a few weeks. All stages of the system’s installation and expansion were managed entirely by the specialist department involved, with IT responsible only for managing the server and hardware. The data to be analysed comes from a range of different sources, including Siebel Systems and Microsoft SQL Server (used at customer contact centres), AS/400 from the logistics division, and Oracle databases from the second level repair section. Aggregation via a special data warehouse is unnecessary, as all data can immediately be imported into QlikView. QlikView is used to handle the most varied analysis and reporting requirements. These include the calculation and analysis of guarantee costs in Europe and the service level agreement (SLA) measurement functions, including the “alert” signal.
运营影响
数量效益
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
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
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.
