使用预测分析降低企业资产管理的维护成本
公司规模
1,000+
地区
- Europe
国家
- Switzerland
产品
- IBM Maximo Asset Management
- IBM Maximo Everyplace
技术栈
- Predictive Analytics
- Mobile Technology
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 功能应用 - 企业资产管理系统 (EAM)
适用行业
- 零售
适用功能
- 维护
用例
- 资产健康管理 (AHM)
- 预测性维护
服务
- 数据科学服务
- 系统集成
关于客户
Migros Zurich (GMZ) 是瑞士一家大型零售商，经营着 97 家商店、26 家专业市场和 47 家食品店。该公司服务于约 150 万客户，年收入约为 24.7 亿瑞士法郎（25 亿美元）。GMZ 拥有约 8,800 名员工。该公司的声誉取决于其能够以合理的价格和精准的效率提供高质量的商品和服务。然而，该公司的维护实践成本高昂，这导致人们认识到需要采取主动策略来优化企业资产的性能、可靠性和使用寿命。
挑战
Migros Zurich (GMZ) 经营着庞大的商店、专业市场和食品店网络，为大约 150 万客户提供服务。该公司的声誉取决于其能够以合理的价格和精准的效率提供高质量的商品和服务。然而，该公司的维护人员需要一种方法来汇总、整合和分析来自资产清单、服务请求、工作订单、维护记录、设备服务合同、保修、服务水平协议以及服务和技术文档的信息，其中大部分信息以物理形式存档在公司的中央办公室。这些记录包含数千个数据点，需要这些数据点来全面了解其资源的当前状况，并将其维护实践从被动转变为主动。此外，为了提高现场效率，该公司需要一个移动解决方案，使现场技术人员能够随时随地实时访问公司的资产管理系统。
解决方案
为了转变资产管理业务，Migros Zurich 与 IBM 和 IBM 业务合作伙伴 Ascom Solutions 合作，实施基于 IBM® Maximo® Asset Management 和 IBM Maximo Everyplace® 软件的分析解决方案，该解决方案可提供公司资产的全面视图。Ascom Solutions 在部署期间提供了出色的咨询和实施服务。GMZ 现在使用预测分析来评估多年的维护数据并准确确定资产生命周期。维护分析师可以评估整个公司的设施、系统和设备健康状况，以更好地预测系统何时需要维护、维修或更换。凭借这些见解，Migros Zürich 可以确定维护任务的优先级并安排维护任务，以延长单个资产的使用寿命并优化维护这些资产所需的人员分配。该解决方案集成了服务合同、保修、SLA 和历史服务记录，而这些记录以前是现场维护团队无法访问的。现在，技术人员可以使用移动设备（例如智能手机和平板电脑）从服务呼叫现场远程访问这些内容以及技术手册和图表，从而无需花费时间前往办公室查阅纸质文档。
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
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.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
