Case Study on Dishwashing Machines

Machine Issues

• Clogging and Blockages
• Spray Arm Blockages
• Faulty Door Seals
• Water Inlet Valve Issues
• Pump and Motor Failures
• Detergent Dispenser Problems
• Heating Element Issues
• Improper Loading

Challenges

• Frequent breakdowns of dishwashing
  machines result in customer complaints
  and service calls, impacting customer
  satisfaction.
• The current maintenance strategy is
  reactive, leading to higher repair costs and
  increased downtime.
• Improving reliability and minimizing
  disruptions are crucial for enhancing overall
  customer satisfaction.

Objectives

• Implement predictive maintenance to
  identify and address potential issues before
  they lead to machine failures.
• Shift from reactive to proactive
  maintenance to optimize resources and
  decrease repair expenses.
• Ensure reliable performance and minimize
  disruptions for improved customer
  satisfaction.

Solution

• Vibration sensors strategically placed on
  critical components like pumps, motors,
  and bearings monitor their health.
• Relevant features that contribute to
  equipment failure prediction are identified.
• Apply advanced analytics techniques,
  including machine learning algorithms, to
  analyze collected data.
• Identify patterns and anomalies indicative
  of potential failures and maintenance
  needs.
• Estimate the time before components are
  likely to fail, enabling proactive
  maintenance scheduling.

Results

● Proactive identification of potential issues
led to a significant reduction in unplanned
downtime.
● Achieved cost savings in the long run.
● Positive impact on brand reputation and
customer loyalty.