Table 3

Key improvements from predictive maintenance collaboration between Firm A and Company ABC

Affected elementsPre-collaborationPost-collaborationImpacts on firm A and company ABC
Downtime (Process)Frequent unplanned downtime due to malfunctionsSubstantial reduction in downtime and enhanced manufacturing efficiency
  • Firm A: Improved manufacturing efficiency, reduced operational costs

  • Company ABC: Strengthened relationship with Firm A, enhanced reputation as a reliable technology partner

Maintenance strategy (Mechanism)Reactive maintenance approachPredictive, data-driven maintenance and optimized resource allocation
  • Firm A: Reduced maintenance costs, extended equipment lifespan

  • Company ABC: Gained valuable insights to refine and enhance predictive maintenance services for broader applications

Decision-making (Process)Decisions based on limited historical dataReal-time, data-driven decision-making
  • Firm A: Enhanced operational efficiency, quicker decision-making

  • Company ABC: Improved strategic decision-making capabilities, informed product development through real-time client data

Collaboration and problem-solving (Mechanism/Process)Fragmented collaboration and slow issue resolutionEnhanced collaboration and quicker issue resolution
  • Firm A: Improved issue resolution, extended equipment lifespan

  • Company ABC: Enhanced customer-centric innovation, stronger client interaction, better alignment with customer needs

Source(s): Authors’ own work

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