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<p>This study presents a novel framework for enhancing Overall Equipment Effectiveness (OEE) through the integration of market-oriented metrics, providing a comprehensive perspective on manufacturing efficiency. Traditional OEE metrics focus on internal operational factors such as availability, performance, and quality. While effective in identifying production inefficiencies, these metrics often overlook the broader impact of market dynamics, demand variability, and consumer preferences. This research bridges this critical gap by introducing Market Overall Equipment Effectiveness (MOEE), a novel model that incorporates market-driven parameters, including Maintenance Responsiveness (MR), Repair Time Index (RTI), Market Responsiveness (mR), Market Return Rate (MRR), Warranty Claim Rate (WCR), and Customer Satisfaction Index (CSI). These new parameters were systematically integrated into the OEE calculation to provide a dual focus on operational efficiency and market responsiveness. Using empirical data from a manufacturing firm, the study identifies inefficiencies that conventional OEE metrics fail to capture. The findings reveal a substantial decline in MOEE from 85.33% to 59.72% when market-oriented factors were considered. This decline shows the need to align production metrics with market expectations for better performance. The proposed model illustrates how operational inefficiencies and poor market alignment affect revenue, customer satisfaction, and competitiveness. The MOEE framework helps manufacturers tackle market volatility and enhance internal processes.</p>

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Developing a Model for Integrating Market Metrics with Overall Equipment Efficiency

  • 期刊论文

  • 发表日期：

    2025年11月26日

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  • Osama T. Al Meanazel,
  • Abdalmageed Almotari,
  • Maria Mohammad Dabobash,
  • Salsabeel Sobhi Al-Nashash,
  • Hala Adeeb Al-Buhaisi

摘要

This study presents a novel framework for enhancing Overall Equipment Effectiveness (OEE) through the integration of market-oriented metrics, providing a comprehensive perspective on manufacturing efficiency. Traditional OEE metrics focus on internal operational factors such as availability, performance, and quality. While effective in identifying production inefficiencies, these metrics often overlook the broader impact of market dynamics, demand variability, and consumer preferences. This research bridges this critical gap by introducing Market Overall Equipment Effectiveness (MOEE), a novel model that incorporates market-driven parameters, including Maintenance Responsiveness (MR), Repair Time Index (RTI), Market Responsiveness (mR), Market Return Rate (MRR), Warranty Claim Rate (WCR), and Customer Satisfaction Index (CSI). These new parameters were systematically integrated into the OEE calculation to provide a dual focus on operational efficiency and market responsiveness. Using empirical data from a manufacturing firm, the study identifies inefficiencies that conventional OEE metrics fail to capture. The findings reveal a substantial decline in MOEE from 85.33% to 59.72% when market-oriented factors were considered. This decline shows the need to align production metrics with market expectations for better performance. The proposed model illustrates how operational inefficiencies and poor market alignment affect revenue, customer satisfaction, and competitiveness. The MOEE framework helps manufacturers tackle market volatility and enhance internal processes.