Driving best practice productivity improvements 

SAGE Automation has extensive experience in developing customised solutions 100% aligned to delivering clients’ needs and desired outcomes. We have a proven track record in driving and delivering best practice productivity improvements and associated change management.

Our proven ability to support clients in capturing and analysing critical business case data translates into improved business outcomes

Industries

SAGE can assist in the analysis of plant efficiency and work practices in the following sectors:

Automotive Food and beverage Manufacturing

Deliver productivity improvements

Assess using the quantifiable data available, and depending on the degree of subjectivity, an assessment of existing productivity is observed.

Analyse the data is benchmarked against worlds best practice using recognised process improvement key performance indicators

Recommend propose business case analysis to enable selection of appropriate strategic investment decisions. These optioneering changes may include current work practices, process system upgrades, automation control solutions or manufacturing intelligence (MI) system installation.

Implement implementation of preferred process improvement option

MI/MES

Frontline® is SAGE Automation’s customised manufacturing intelligence system which integrates directly with existing production systems to collect real time information. Frontline® enables:

  • Key information capture to drive step-change improvement during the research and development phase
  • Data collection and analysis from multiple plants/sites to a centralised system to optimise utilisation
  • Business case and business analysis development to enable strategic investment decisions
  • Process improvement: production constraint identification for plant through-put improvement
  • Companies to report and rectify productivity inefficiencies to redefine best practice and drive change management
  • Manufacturing execution systems (MES): providing critical information for production to increase efficiency