Smart Matching Human in Manufacturing

about
Our client was a leading global washing machine manufacturer
Problem
  • Operators are manually assigned  to workstations.
  • Quality and effectiveness outcomes of process is not measured with respect to person-job fit and other external variables
Action
  • The artificial solution (AI) solution was implemented to increase shop floor utilization and effectiveness.
  • Developed an employee data mart which includes employee characteristics, demographics, skills and task requirements in terms of skill level, training and ergonomic factors.
  • Developed a scheduling model which assigns the employees to appropriate workstations with respect to their demographics, skills, training and other related external data to increase quality and productivity and enhance employee well-being.
Tool Stack
  • Azure DataFactory, Python, Azure ML

3

%

Increase in efficiency

6

%

Increase in quality score

5

%

Decrease in service call rate