使用 IBM Rational 软件实现软件交付生命周期自动化，将开发成本削减 40%
产品
- IBM Rational ClearCase
- IBM Rational ClearQuest
- IBM Rational Rose RealTime
- IBM Rational Test RealTime
技术栈
- Unified Modeling Language (UML)
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 应用基础设施与中间件 - API 集成与管理
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 电子产品
- 零售
适用功能
- 产品研发
- 质量保证
用例
- 过程控制与优化
- 质量预测分析
服务
- 软件设计与工程服务
- 系统集成
关于客户
我们关注的公司是一家先进数据采集设备制造商，产品包括条形码扫描仪和射频识别 (RFID) 产品。他们还生产专业和商用双向无线电设备，并向零售企业提供未经许可的无线宽带功能和无线局域网 (WLAN)。该公司的关键任务产品组合需要更高效、更自动化的软件开发生命周期。
挑战
这家数据采集设备制造商正在努力管理和自动化其关键任务产品组合的软件开发生命周期。开发团队使用电子邮件来管理变更请求，这经常导致请求丢失和处理延迟。缺乏协作设计解决方案使工程师难以协作进行设计变更。
解决方案
该公司采用了一套 IBM Rational 软件来解决其开发挑战。该套件包括 IBM Rational ClearCase、IBM Rational ClearQuest、IBM Rational Rose RealTime 和 IBM Rational Test RealTime 软件。该软件帮助公司的工程师更好地管理软件开发生命周期。例如，当应用程序需要更新或更改时，工程师通过 Rational ClearQuest 软件收到变更请求。他们使用该变更记录通过 Rational Rose RealTime 软件修改统一建模语言 (UML) 模型。完成修改后，他们使用 Rational Test RealTime 软件验证变更是否符合质量要求。最后，工程师将变更保存在 Rational ClearCase 软件中，以便分发给其他人使用。
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
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
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
