Current Situation
Each factory manages the maintenance of its assets with various levels of success. Maintenance teams tend to be older workers that are nearing retirement, leaving knowledge gaps behind with no easy way to fill them.
Goals and Objectives
Highest levels of asset availability results in less factory downtime and lower capital appropriation spending. There will also be a lower cost of maintenance delivery and a reduction in overall labor costs
Technology Deployed
Hardware: Services, storage, IoT, smartphones, and tablets
Software:Big Data/analytics, cognitive/AI, machine learning, cloud, mobile, ERP, MES, APM, and SLM
Services:Business services and IT services
Use Case Summary
Assets are monitored and issues are diagnosed at a central location. Maintenance resources are optimized through a tiered support structure, depending on the issue, type of asset, criticality, and so forth. There are still local maintenance personnel, but the majority of work is managed in the M&D center.