Flevy Management Insights Q&A

How are digital twins being used to enhance Jishu Hozen practices in manufacturing?

     Joseph Robinson    |    Jishu Hozen


This article provides a detailed response to: How are digital twins being used to enhance Jishu Hozen practices in manufacturing? For a comprehensive understanding of Jishu Hozen, we also include relevant case studies for further reading and links to Jishu Hozen best practice resources.

TLDR Digital twins are transforming Jishu Hozen by improving Predictive Maintenance, enhancing Training and Knowledge Sharing, and optimizing Equipment Design and Performance, leading to reduced downtime and maintenance costs.

Reading time: 5 minutes

Before we begin, let's review some important management concepts, as they related to this question.

What does Predictive Maintenance mean?
What does Training and Knowledge Sharing mean?
What does Equipment Optimization mean?


Digital twins are revolutionizing the way organizations approach Jishu Hozen, or autonomous maintenance, within the manufacturing sector. By leveraging digital twins, organizations can significantly enhance their maintenance practices, improve equipment efficiency, and reduce downtime. This integration of digital twins into Jishu Hozen practices represents a convergence of traditional maintenance methodologies with cutting-edge digital technology, facilitating a more proactive, predictive, and precise approach to maintenance management.

Enhancing Predictive Maintenance

One of the key ways digital twins are used to enhance Jishu Hozen practices is through the improvement of predictive maintenance strategies. Predictive maintenance, a cornerstone of Jishu Hozen, involves the prediction of equipment failures before they occur, allowing for timely intervention and the prevention of unplanned downtime. Digital twins, which are virtual replicas of physical assets, enable organizations to model and simulate the behavior of their machinery under various conditions. This capability allows for the identification of potential issues before they manifest in the physical world. According to a report by Accenture, organizations leveraging digital twins in their operations can achieve up to a 30% reduction in maintenance costs and a 70% decrease in downtime.

Through continuous monitoring and analysis of data collected from sensors on the physical assets, digital twins can detect anomalies, wear and tear, and other signs of potential failure. This real-time data, combined with historical performance data, enhances the accuracy of predictive models. As a result, maintenance teams can prioritize maintenance activities more effectively, focusing on the most critical issues that could lead to equipment failure.

Moreover, digital twins facilitate the simulation of different maintenance scenarios, enabling maintenance teams to evaluate the potential impact of various interventions. This not only helps in identifying the most effective maintenance strategy but also in optimizing the scheduling of maintenance activities to minimize disruption to production processes.

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Improving Training and Knowledge Sharing

Digital twins also play a crucial role in improving training and knowledge sharing among maintenance personnel. The complexity of modern manufacturing equipment can pose significant challenges for maintenance teams, particularly when dealing with new or unfamiliar machinery. Digital twins offer a virtual environment where maintenance personnel can interact with an accurate representation of the equipment, gaining a deeper understanding of its operation without the risk of causing damage to the actual machinery.

This immersive training experience is invaluable for enhancing the skills and competencies of maintenance teams, ensuring they are better prepared to perform maintenance tasks effectively. Additionally, digital twins can facilitate the sharing of knowledge and best practices across different teams and locations, promoting a culture of continuous learning and improvement. By enabling more effective training and knowledge sharing, digital twins support the principles of Jishu Hozen, which emphasize the importance of empowering operators to take ownership of the maintenance of their equipment.

Furthermore, the use of digital twins in training can significantly reduce the time and resources required to bring maintenance personnel up to speed. This is particularly beneficial for organizations operating in fast-paced manufacturing environments, where the ability to quickly adapt to new technologies and processes is a critical competitive advantage.

Optimizing Equipment Design and Performance

Another significant application of digital twins in enhancing Jishu Hozen practices is in the optimization of equipment design and performance. By creating a digital twin of a piece of equipment, engineers and designers can analyze its performance under various operating conditions, identify design flaws, and explore improvements without the need to physically alter the equipment. This approach not only reduces the time and cost associated with physical prototyping but also enables the design of equipment that is inherently easier to maintain and less prone to failure.

For instance, digital twins can help identify areas of a machine that are difficult to access or maintain, allowing designers to modify the equipment layout to facilitate easier maintenance. This proactive approach to design supports the Jishu Hozen principle of improving equipment maintainability and reliability through continuous improvement.

In addition, digital twins can be used to simulate the impact of different operating conditions on equipment performance, enabling organizations to optimize their operating parameters for maximum efficiency and longevity. This capability is particularly valuable in industries where equipment is subjected to harsh or variable conditions, as it allows for the fine-tuning of equipment settings to minimize wear and tear, thereby extending the life of the assets.

In conclusion, the integration of digital twins into Jishu Hozen practices offers a transformative approach to maintenance management in the manufacturing sector. By enhancing predictive maintenance, improving training and knowledge sharing, and optimizing equipment design and performance, digital twins enable organizations to achieve higher levels of operational efficiency, reduce downtime, and maintain a competitive edge in the rapidly evolving manufacturing landscape.

Best Practices in Jishu Hozen

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Explore all of our best practices in: Jishu Hozen

Jishu Hozen Case Studies

For a practical understanding of Jishu Hozen, take a look at these case studies.

Autonomous Maintenance Initiative for Maritime Shipping Leader

Scenario: The organization, a prominent player in the maritime shipping industry, is grappling with inefficiencies in its Autonomous Maintenance program.

Read Full Case Study

Operational Excellence in Power & Utilities

Scenario: The organization is a regional power utility company that has been facing operational inefficiencies within its maintenance operations.

Read Full Case Study

Autonomous Maintenance Enhancement for a Global Pharmaceutical Company

Scenario: A multinational pharmaceutical firm is grappling with inefficiencies in its Autonomous Maintenance practices.

Read Full Case Study

Autonomous Maintenance Transformation for Beverage Company in North America

Scenario: A mid-sized beverage firm, renowned for its craft sodas, operates in the competitive North American market.

Read Full Case Study

Autonomous Maintenance Initiative for Packaging Industry Leader

Scenario: A leading packaging firm in North America is struggling to maintain operational efficiency due to ineffective Autonomous Maintenance practices.

Read Full Case Study

Enhancement of Jishu Hozen for a Global Manufacturing Firm

Scenario: A large multinational manufacturing firm is struggling with its Jishu Hozen, a key component of Total Productive Maintenance (TPM).

Read Full Case Study


Explore all Flevy Management Case Studies

Related Questions

Here are our additional questions you may be interested in.

What metrics should companies track to measure the effectiveness of Jishu Hozen implementation?
To measure Jishu Hozen effectiveness, track Operational Performance (e.g., OEE, MTBF, MTTR), Financial (Maintenance Cost Reduction, ROI, Inventory Reduction), and Cultural metrics (Employee Engagement, Safety Rates, Training Rates), reflecting improvements in machinery efficiency, cost savings, and workforce engagement. [Read full explanation]
What role does organizational culture play in the successful adoption of Autonomous Maintenance?
Organizational Culture is crucial for Autonomous Maintenance success, emphasizing Continuous Improvement, Empowerment, and Proactive Behavior, with leadership and strategic alignment playing key roles in overcoming challenges and achieving Operational Excellence. [Read full explanation]
What impact does the increasing use of AI and machine learning have on the traditional roles in Jishu Hozen?
The integration of AI and ML into Jishu Hozen is transforming traditional maintenance roles, enhancing Predictive Maintenance, requiring new skill sets, and promoting a culture of proactive maintenance, thereby impacting Strategic Planning and Operational Excellence. [Read full explanation]
How can the principles of Jishu Hozen and Total Productive Maintenance be harmonized to improve quality control?
Harmonizing Jishu Hozen and Total Productive Maintenance improves quality control by integrating proactive maintenance, employee involvement, and continuous improvement for Operational Excellence. [Read full explanation]
What are the critical factors for successful integration of Jishu Hozen with Reliability Centered Maintenance?
Successful integration of Jishu Hozen with RCM hinges on a deep synergy of methodologies, fostering a supportive culture, and leveraging technology and data analytics for improved maintenance and Operational Excellence. [Read full explanation]
What role does Jishu Hozen play in achieving Operational Excellence in service industries?
Jishu Hozen, or autonomous maintenance, is key in achieving Operational Excellence in service industries by empowering employees, improving service delivery, reducing errors, and fostering a culture of continuous improvement. [Read full explanation]

 
Joseph Robinson, New York

Operational Excellence, Management Consulting

This Q&A article was reviewed by Joseph Robinson. Joseph is the VP of Strategy at Flevy with expertise in Corporate Strategy and Operational Excellence. Prior to Flevy, Joseph worked at the Boston Consulting Group. He also has an MBA from MIT Sloan.

To cite this article, please use:

Source: "How are digital twins being used to enhance Jishu Hozen practices in manufacturing?," Flevy Management Insights, Joseph Robinson, 2025




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