Planning and Scheduling

Planning: Making work execution efficient (what and how)
Scheduling: Reducing the time between jobs (when)

Good maintenance plans shorten job times, and make your trades workforce more productive.

Are your planners planning? Or, are they  only scheduling?

Are parts and materials ready for the job to start, or do your trades need to go get them? Are you planners chasing parts for them?

Do you rely on direct purchases more than your own parts stores?

Do you have parts stashed away in the shop or plant?

When you schedule work for next week, will it get done in that week?

Do you have a library (database) of saved job plans that can re-used?

Have your planners been training in planning, or just in how to use your computerized management system?

 

Training Available for Planners and Schedulers:

 

AIJobPlanner – our new planning productivity tool using artificial intelligence to build draft plans. Click here.

  • Create job plans in minutes, not hours
  • Plan work for all trades – unlimited by your own technical background
  • Increase your job plan library
  • Increase the percentage of work planned very quickly
  • Helps you focus on the important details

 

EAM and CMMS Value Extraction
Are your maintenance management systems really delivering what you need?

Are distracted by data and starved for information?

 

Is your Asset Management Ecosystem working for you, or are you working for it?
Are you achieving the results you want from your investments in tech?

Technology provides us with useful tools. But they are not solutions. Too much reliance on technology leaves us vulnerable – it allows us to get lazy, can weaken our knowledge, and lowers our resilience.

Put “thought-ware” ahead of software!
Here are some areas where we can help with that:

  • Digitization,
  • Evidence-based decision making,
  • Leveraging big data,
  • Optimizing spares levels and working capital tied up in inventory,
  • Inventory optimization,
  • Optimum replacement age of assets,
  • Repair or replace decisions,
  • Capital investment planning,
  • Leveraging the Industrial Internet of Things (IIoT) technologies,
  • Reliability analysis,
  • Maintenance management.