IMPROVING HOW WE CAPTURE AND USE DATAApril 10, 2017
A MISSION TO UPGRADE OUR SYSTEMS AND PROCESSES
The world is increasingly being driven by data. Improving the data we collect, store and analyse will provide PYBAR with greater insight into opportunities to improve productivity and efficiencies for our clients.
Any data we collect across our business must be valid, timely and useful. If we are to increase the amount of useful data we are gathering, we must also make sure the process of doing so is efficient, accurate and cost effective.
To realise this, our Business Systems team has been trialling and testing a number of solutions:
Qlik is a dashboard reporting tool accessed from within a web browser. It provides an easy to use interface and allows users to drill down and filter data to quickly identify trends for benchmarking and continuous improvement. We are currently in the process of installing this powerful dashboard reporting tool on our servers.
WebBAR is a custom-built production database that aims to provide a user-friendly means of capturing valid, useful production statistics from our sites (e.g. tonnes bogged, metres drilled, equipment downtime (for availability calculations), delays, etc. In recent times it has been expanded to include functionality to post consumable usage into our inventory system, as well as quantities required for invoicing, and hours for employees.
We are implementing the following major improvements in a phased upgrade to WebBAR in the next six months:
- offline capability for data entry;
- iPlod – electronic plod;
- processing prestarts from different sources (iPlod, machine data, paper plods);
- shift planning module; and
- shift summary reporting.
iPlod – Electronic Plod.
iPlod will see each operator input their plod data directly into a tablet, which will be uploaded to the production database. Supervisors will be given the ability to easily validate this data before it is posted to the main database and PDF copies of their ‘plod’ can be printed out.
The app can be tailored to different machines which means we only capture the machine specific data we need (e.g. tonnes and TKMs for trucking, drill metres, holes, bolts and mesh for jumbos etc).
The devices will also allow operators to input their prestart and daily safety checklists, like TWIs, directly to the tablet where work flows can be organised, if necessary.
We have trialled devices at most of our sites and are now ironing out remaining bugs and making changes to site specific processes ahead of an official roll out.
Machine Data Capture.
We are working hard to implement automatic data capture from every machine in our fleet, from basic production data (such as engine hours and payload), to mechanical alerts.
The data flows automatically back to head office where we are close to implementing dashboard reporting for key statistics.
Given our fleet comprises multiple OEMs (original equipment manufacturers) and different age machines, this presents challenges, however, the prize is worth it – opportunities to improve through insight gained from effectively comparing performance across our business.