Leader in dry ice cleaning and production solutions secures global IT systems with iland, now 11:11 Systems, DRaaS for Zerto
公司规模
200-1,000
地区
- America
- Europe
国家
- Belgium
- United States
产品
- 11:11 DRaaS for Zerto
技术栈
- VMware
- Zerto
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 混合云
适用功能
- 离散制造
- 维护
用例
- 预测性维护
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Cold Jet is a company based out of Loveland, Ohio with 15 offices worldwide. The company has been a leader in the dry ice business for over 30 years. They’ve developed innovative, environmentally responsible cleaning solutions that help companies in various industries keep their machinery running smoothly. Cold Jet’s dry ice blasting systems use recycled carbon dioxide and eliminate the need for chemicals and water in the cleaning process. The company runs a lean IT team based in the Ohio office, supporting nearly 300 users worldwide.
挑战
Cold Jet, a leader in the dry ice business, was facing a challenge when the company decided to move offices in Belgium. The company's IT team, based in Ohio, was tasked with finding a disaster recovery (DR) provider that could accommodate their new setup. The team was also looking to improve and increase their bandwidth. The search for a provider was under a tight deadline, with only a month to find a provider and get the system up and running.
解决方案
After evaluating several vendors, 11:11 was chosen as the clear choice for Cold Jet. The team was able to increase their bandwidth, define replication priorities with virtual protection groups, and perform full DR testing on their own. The comfort of transitioning to a VMware-based cloud provider was another positive for Cold Jet. Since the team was on a tight deadline, it was important to get their DR environment up and running quickly. The flexible pricing of 11:11 allows Cold Jet to pay for compute and memory only when their VMs are running. The manageability of the 11:11 solution has also been a great fit for the team.
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 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.
