The Use of Big Data and Mapping Supply Chains
CO5: Understand the role of big data and of supply chain mapping in SCRM
Discussion Prompt: Several companies are discussed in Ch. 11 on their use of data to better secure their operations. Pick one of these companies and provide a brief summary of the company’s actions and their expected outcomes.
In Chapter 11 of “Supply Chain Risk Management: An Emerging Discipline” by Schlegel and Trent, several companies are discussed in terms of their use of data to enhance security measures.
One of these companies is Dell, which has implemented a comprehensive security strategy based on data analytics and risk assessment.
Dell has adopted a risk-based approach to security, which involves analyzing data to identify potential threats and vulnerabilities.
The company has established a Security Operations Center (SOC) that monitors its entire supply chain in real-time (Schlegel & Trent, 2014).
The SOC collects data from various sources, such as firewalls, intrusion detection systems, and antivirus software, to detect and respond to security incidents promptly.
To further enhance its security measures, Dell has implemented a security analytics program that leverages machine learning algorithms to analyze vast amounts of data and detect anomalous behavior.
The program can detect potential security threats before they occur and provide recommendations to prevent or mitigate them.
Dell has also established partnerships with various security vendors and experts to stay updated on the latest security threats and best practices (Schlegel & Trent, 2014).
The company participates in industry-wide initiatives such as the Cyber Threat Alliance, which enables it to share threat intelligence with other companies and organizations.
The expected outcome of Dell’s security strategy is a more secure supply chain that is resilient to various types of security threats.
The company aims to minimize the impact of security incidents on its operations, reputation, and customer satisfaction (Schlegel & Trent, 2014).
By leveraging data analytics and risk assessment, Dell can proactively identify and address potential security issues before they escalate into significant problems.
Schlegel, G. L., & Trent, R. J. (2014). Supply Chain Risk Management: An Emerging
Discipline. Boca Raton: Taylor & Francis Group.
After reading through chapter eleven and seeing all the companies to choose from, I had to pick Harley-Davidson. Harley-Davidson, the iconic motorcycle manufacturer, has been utilizing state-of-the-art big data and technology to optimize its operations and enhance efficiency.
Through the implementation of advanced software, the company can now monitor every detail on the assembly floor, ensuring consistency in the manufacturing process and preventing any deviations from optimal settings.
This innovative approach has enabled Harley-Davidson to produce top-quality products while simultaneously reducing operational risks.
The software has proven to be highly effective in identifying any bottlenecks on the assembly floor. For instance, a recent study based on shop floor data revealed that the rear fender assembly time was exceeding the planned duration.
Upon further analysis, the company discovered that the time-consuming process of transporting the fenders across the floor on carts was the primary cause of the hold-up.
Harley-Davidson restructured the factory setup to address this issue, allowing the fenders to move directly to the assembly line.
This streamlined process will enable Harley-Davidson to achieve its objective of completing a motorcycle every 86 seconds, thereby increasing productivity and efficiency.
Harley-Davidson’s use of cutting-edge big data and technology underscores its commitment to staying ahead of the curve in the highly competitive motorcycle industry.
By leveraging advanced software and data analysis, Harley-Davidson can quickly identify and address issues on the assembly floor, ensuring that its products are of the highest quality and meet the demands of its discerning customers.
Overall, the company’s innovative approach to manufacturing serves as an inspiration to businesses across industries looking to optimize their operations and achieve success in today’s rapidly evolving digital landscape.
Schlegel, G. L., & Trent, R. J. (2014). Supply Chain Risk Management: An Emerging Discipline. Boca Raton: Taylor & Francis
For this post, I chose one of my dream workplaces Raytheon. Raytheon is using big data to reduce the risk of quality and operational problems.
They implemented manufacturing execution systems (MES), which allow them to gather and analyze shop floor data, catching flaws as they occur and preventing any operator from performing a task for which they are not certified.
Raytheon also keeps data for each missile, including the names of all the machine operators who worked on any part of it and the humidity, temperature, and more at each workstation.
Raytheon can track physical items and people throughout the supply chain and enable a faster reaction to specific problems before they escalate into major
Their expected outcomes from this approach are risk mitigation and management, cost containment, real-time event monitoring, and process optimization, which are key drivers supported by big data.
Raytheon also hopes that its use of big data systems will enable them to deliver high-quality, reliable missiles to its customers more efficiently and at a lower cost while enhancing its reputation as an aerospace/defense manufacturing industry leader.
In the past, millions of dollars have been spent reworking items that did not meet specifications. With the implementation of big data systems, Raytheon expects to reduce these costs and increase efficiency while maintaining high-quality standards.
Raytheon’s use of big data systems is a form of risk management and mitigation that supports its cost containment objectives, real-time event monitoring, and process optimization.
By leveraging big data, Raytheon hopes to enhance its reputation as a leader in the industry while delivering high-quality, reliable missiles to its customers more
efficiently and at a lower cost.
Schlegel, G. L., & Trent, R. J. (2014). Supply Chain Risk Management: An Emerging Discipline. Boca Raton: Taylor & Francis Group.
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