下载PDF
Fiix Software
概述
公司介绍
Fiix 是由一些“修复者”在多伦多创立的,他们希望将简单性带入不必要的复杂维护管理软件世界。他们想用一种易于使用且所有人都能负担得起的产品来做到这一点。今天他们已经成长,但他们永远不会忘记他们曾经是小家伙,并忠于其创始人的愿景,即向世界提供易于使用、负担得起的维护管理软件。他们是期待已久的市场颠覆者,真正的云提供商,瓶中闪电。
物联网解决方案
Fiix 基于云的 CMMS 可帮助您降低成本、提高生产力并提高资产性能。
立即开始您的可靠性之旅
无论您是想组织资产、管理工作、连接到业务系统,还是做出数据驱动的决策,Fiix 都在您的每一步。
提高资产绩效
减少停机时间并跟踪关键任务资产的运行状况。
提高生产力
使用 Fiix CMMS 移动应用程序跟踪工作订单、保持联系并随时随地工作。
连接任何业务系统
跨任何企业系统连接、收集和共享数据,并触发工作。
做出数据驱动的决策
Fiix 为您提供做出明智业务决策所需的维护分析。
物联网应用简介
技术栈
Fiix Software的技术栈描绘了Fiix Software在功能应用等物联网技术方面的实践。
-
设备层
-
边缘层
-
云层
-
应用层
-
配套技术
技术能力:
无
弱
中等
强
实例探究.
Case Study
How a major player in the oil & gas industry decreased downtime
Sean Simon is the SVP of Operations at CIG Logistics, where sand is transloaded and stored for third parties in the oil and gas industry. Before looking into CMMS solutions, his team spent three years trying to manage their maintenance operations with a paper-based system, leaving them with the major issue of not being able to gather or access data. “There’s no way to mine paper. There was no daily summary, no way of tying together comments or keywords.” As a result, trying to track and schedule preventive maintenance was nearly impossible. “It was like owning a car in the 1950s. You had to try to remember the last time you did something and guess at the maintenance that needed to be done in the future”.
Case Study
Anaren Microwave Implements their manufacturing CMMS
Like many organizations, Anaren had a homegrown work order application that had basic asset management functionality. “It was menu driven, so quite cumbersome,” explained Bill, “reporting was limited and it still relied heavily on paper transactions and records. We looked at our business needs going forward and decided this was one area that could be modernized.” On launching the Manufacturing CMMS project, Bill, the business analyst of the company identified three major areas for improvement:1. Improve efficiency by eliminating paper.2. Improve the control of preventive maintenance. 3. Improve inventory management.
同类供应商.
Supplier
Senseye
Senseye is the leading cloud-based software for Predictive Maintenance. It helps manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery.
Supplier
Litmus Automation
Litmus transforms the way companies enable Industrial IoT, Industry 4.0 and Digital Transformation with one goal in mind - unmatched time-to-value. Our modern edge platform for industry provides instant data connectivity, ready-to-use analytics, and the ability to orchestrate applications at scale. Litmus liberates the data locked in any industrial system to transform critical edge data into actionable intelligence that can power Predictive Maintenance, Machine Learning, and AI. Customers include 10+ Fortune 500 manufacturing companies, while partners like Siemens, HPE, Intel and SNC Lavalin expand the Company’s path to market. For more information visit www.litmus.io.
Supplier
Quant Service
Quant Service is a global leader in industrial maintenance. For over 25 years, we have been realizing the full potential of maintenance for our customers. From embedding superior safety practices and building a true maintenance culture, to optimizing maintenance cost and improving plant performance, our people make the difference.