Flevy Management Insights Q&A

How can edge computing be leveraged to enhance Business Process Re-engineering efforts in manufacturing?

     Joseph Robinson    |    Business Process Re-engineering


This article provides a detailed response to: How can edge computing be leveraged to enhance Business Process Re-engineering efforts in manufacturing? For a comprehensive understanding of Business Process Re-engineering, we also include relevant case studies for further reading and links to Business Process Re-engineering best practice resources.

TLDR Edge computing significantly improves Business Process Re-engineering in manufacturing by enabling real-time decision-making, enhancing data security and compliance, and facilitating scalability and flexibility, leading to improved operational efficiency and customer satisfaction.

Reading time: 4 minutes

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

What does Real-time Decision Making mean?
What does Data Security and Compliance mean?
What does Scalability and Flexibility mean?


Edge computing represents a pivotal shift in data processing and management, allowing organizations to process data closer to the source of data generation. This paradigm shift is particularly influential in the manufacturing sector, where real-time data processing can significantly enhance operational efficiency, reduce latency, and improve decision-making processes. Leveraging edge computing in Business Process Re-engineering (BPR) efforts can lead to substantial improvements in manufacturing processes, product quality, and customer satisfaction.

Enhancing Real-time Decision Making

At the core of BPR is the need to streamline operations and enhance decision-making processes. Edge computing facilitates real-time data analysis, enabling manufacturing organizations to make quicker, more informed decisions. Traditional cloud computing models, which rely on data being sent to centralized data centers for processing, often introduce latency. In contrast, edge computing processes data on or near the manufacturing floor, drastically reducing response times and allowing for immediate action in response to emerging issues or changes in production conditions.

For instance, in a scenario where machinery performance begins to deviate from the norm, edge computing can instantly analyze data from the machine sensors, identify the issue, and either automatically adjust the machinery parameters or alert maintenance personnel to intervene. This capability not only minimizes downtime but also significantly enhances the efficiency of maintenance operations, a critical aspect of Operational Excellence.

Moreover, edge computing supports the deployment of advanced analytics and artificial intelligence (AI) models at the edge, which can predict failures before they occur and optimize manufacturing processes in real-time. This predictive maintenance approach, underpinned by edge computing, can lead to a reduction in unplanned downtime and maintenance costs, directly contributing to the bottom line.

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Improving Data Security and Compliance

Data security and compliance are paramount in the manufacturing sector, especially for organizations operating in highly regulated industries or handling sensitive data. Edge computing enhances data security by processing data locally, reducing the amount of data that needs to be transmitted over the network and, by extension, the exposure to potential data breaches. This localized data processing approach is particularly beneficial for organizations concerned with data sovereignty and compliance with regulations such as GDPR, as it minimizes the risk of data crossing borders.

Additionally, edge computing enables organizations to implement more robust data security measures. By keeping sensitive data on-premises, organizations can apply their security protocols directly to the data processing units, further enhancing data security. This approach also facilitates compliance audits, as data processing and storage are contained within a controlled environment, making it easier to demonstrate compliance with relevant regulations.

From a strategic perspective, enhancing data security and compliance through edge computing can serve as a competitive advantage. Organizations that can assure their customers of the security and integrity of their data can build stronger relationships and foster trust, a critical component in customer retention and business growth.

Facilitating Scalability and Flexibility

Manufacturing organizations are increasingly faced with the need to be agile and responsive to market demands. Edge computing supports this need by offering scalable and flexible data processing capabilities. Unlike centralized data processing models, which can become overwhelmed with increased data volumes, edge computing distributes the data processing load across multiple edge devices. This distribution not only ensures that data processing is not bottlenecked but also allows organizations to scale their operations up or down with minimal disruption.

Edge computing also supports the implementation of flexible manufacturing systems, which can adapt to changes in product design or production volumes with minimal downtime. By processing data locally, edge computing enables these systems to quickly adjust to new instructions or parameters, facilitating a more responsive manufacturing process. This flexibility is particularly important in industries characterized by rapid product innovation or seasonal fluctuations in demand.

Real-world examples of organizations leveraging edge computing for enhanced scalability and flexibility include automotive manufacturers integrating edge computing into their production lines to support the shift towards electric vehicles. These manufacturers use edge computing to quickly adapt their production processes to new vehicle designs and specifications, demonstrating the potential of edge computing to support innovation and responsiveness in manufacturing.

In conclusion, edge computing offers a transformative approach to enhancing Business Process Re-engineering efforts in manufacturing. By facilitating real-time decision-making, improving data security and compliance, and enabling scalability and flexibility, edge computing can significantly improve operational efficiency, product quality, and customer satisfaction. As organizations continue to navigate the complexities of the digital age, the strategic integration of edge computing into BPR efforts will be a critical factor in achieving competitive advantage and operational excellence.

Best Practices in Business Process Re-engineering

Here are best practices relevant to Business Process Re-engineering from the Flevy Marketplace. View all our Business Process Re-engineering materials here.

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Explore all of our best practices in: Business Process Re-engineering

Business Process Re-engineering Case Studies

For a practical understanding of Business Process Re-engineering, take a look at these case studies.

Process Optimization in Aerospace Supply Chain

Scenario: The organization in question operates within the aerospace sector, focusing on manufacturing critical components for commercial aircraft.

Read Full Case Study

Operational Efficiency Redesign for Wellness Center in Competitive Market

Scenario: The wellness center in a densely populated urban area is facing challenges in streamlining its Operational Efficiency.

Read Full Case Study

Customer Engagement Strategy for Wellness App in Digital Health Space

Scenario: A leading digital health organization focusing on wellness applications faces a strategic challenge in enhancing process improvement to stay competitive.

Read Full Case Study

Business Process Re-engineering for a Global Financial Services Firm

Scenario: A global financial services firm is facing challenges in streamlining its business processes.

Read Full Case Study

Operational Excellence in Aerospace Defense

Scenario: The organization is a leading provider of aerospace defense technology facing significant delays in product development cycles due to outdated and inefficient processes.

Read Full Case Study

Operational Excellence in Maritime Education Services

Scenario: The organization is a leading provider of maritime education, facing challenges in scaling its operations efficiently.

Read Full Case Study


Explore all Flevy Management Case Studies

Related Questions

Here are our additional questions you may be interested in.

How can organizations effectively measure the ROI of process improvement projects, particularly those involving advanced analytics and big data?
Organizations can measure the ROI of process improvement projects involving advanced analytics and big data by establishing clear baselines and metrics, leveraging analytics for impact measurement, and incorporating qualitative benefits into their ROI analysis, aligning with broader business objectives for long-term growth. [Read full explanation]
How is the rise of AI and machine learning transforming traditional business process improvement methodologies?
AI and ML are revolutionizing Business Process Improvement by automating tasks, optimizing workflows, driving innovation, and providing data-driven insights for better decision-making and operational efficiency. [Read full explanation]
What strategies can executives employ to ensure alignment between business process improvement initiatives and overall corporate strategy?
Executives can ensure alignment between Business Process Improvement (BPI) initiatives and corporate strategy through Strategic Planning, effective Communication, and rigorous Measurement and Continuous Improvement, enhancing competitiveness and driving sustainable growth. [Read full explanation]
How is the rise of AI and machine learning reshaping traditional process improvement methodologies?
AI and ML are revolutionizing traditional process improvement methodologies, enhancing data-driven decision-making, automating processes, and fostering Innovation and Strategic Transformation for unprecedented efficiency and agility. [Read full explanation]
What impact does the increasing use of machine learning and AI have on the automation of business processes in BPR?
The integration of Machine Learning and Artificial Intelligence into Business Process Reengineering enhances efficiency, productivity, drives innovation, competitive advantage, and facilitates Strategic Decision-Making, transforming business operations and models. [Read full explanation]
How can companies measure the ROI of process improvement projects, especially those with intangible benefits?
Measuring ROI for process improvement projects requires a comprehensive framework that includes both tangible and intangible benefits, leveraging tools like balanced scorecards, advanced analytics, and incorporating methods to quantify intangibles for a holistic view of project impact and 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 can edge computing be leveraged to enhance Business Process Re-engineering efforts in manufacturing?," Flevy Management Insights, Joseph Robinson, 2025




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