Driving Efficiency: How IT and Engineering Use AI to Boost Manufacturing Productivity

The manufacturing industry is grappling with a pressing challenge: stagnating productivity, particularly in countries with deep industrial roots, such as the United States. Key contributors include insufficient investment, a shortage of skilled labor, high turnover, and the offshoring of production. Ongoing trade disputes exacerbate this issue, as companies scale back investments to offset losses from rising tariffs, especially those dependent on imported components.

Despite the strong pressure for stagnation, the pursuit of continuous improvement and increased productivity is a matter of survival for companies and the economy. In this context, Artificial Intelligence (AI) emerges as a transformative solution to address this paradox, with the IT department playing a pivotal role in identifying solutions aligned with the company’s value chain. The traditional continuous improvement process, supported by AI, will enable companies to shift from a reactive “catch-up mode” to a proactive and predictive approach in such a complex scenario. With reliable data as a foundation, AI can optimize processes, reduce downtime, and enhance continuous improvement. In this article, we explore how the IT department, in partnership with manufacturing engineering, can align data strategies with business objectives to revolutionize productivity in the automotive industry.

Where to Start? Aligning IT and Engineering for AI Projects

Transforming productivity on the factory floor requires close collaboration between manufacturing engineering and the IT department. Together, these teams can identify opportunities for continuous improvement and implement AI-based solutions to address chronic inefficiencies. The starting point is to prioritize processes or workstations with the greatest impact on productivity, using historical data to inform decisions.

1. Identifying Critical Processes by Engineering

Manufacturing engineering must analyze operational metrics to pinpoint bottlenecks. Examples include:

·             Downtime: Identifying machines or lines with frequent stoppages.

·             Production Efficiency: Comparing designed versus actual parts per cycle.

·             Defect Rate: Analyzing the history of rejected parts to detect recurring failures.

·             OEE (Overall Equipment Effectiveness): Assessing availability, performance, and quality.

These data-driven analyses enable the prioritization of underperforming processes or production cells, setting clear targets for AI projects.

2. The Role of IT in Data Preparation

Once priority processes are identified, the IT department takes action by mapping the data flow needed to support AI solutions. This mapping occurs even during the ideation phase, before solutions are defined, and involves:

Data Sources: IoT sensors, Manufacturing Execution Systems (MES), ERPs, or manual spreadsheets.

Capture Interfaces: Protocols like MQTT for sensors or REST APIs for MES/ERP integration.

Storage and Structuring: Using data lakes for raw data and data warehouses for processed data.

Initial Governance: Establishing basic policies for data quality and security.

Capturing reliable data in advance is a critical factor in enabling AI adoption, reducing the time between ideation and implementation.

To illustrate, consider an assembly cell producing fewer parts than designed, even after continuous improvement initiatives failed to eliminate chronic issues like unplanned downtime caused by mechanical failures or setup errors. The engineering team, led by an innovation group, analyzes historical data to understand the causes, while IT maps the data flow and interfaces for data capture. A machine learning model trained on vibration and temperature data can predict failures, reducing unplanned downtime. AI-driven solutions, such as intelligent agents, can create and monitor action plans, ensuring all stakeholders execute activities to eliminate the root causes of chronic issues.

The factory floor is a rich and valuable source of data, offering countless possibilities for applying artificial intelligence (AI). From detecting productivity detractors, such as unplanned downtime, to resolving chronic issues like recurring failures in assembly lines, AI can transform operations by leveraging this information. The abundance of data from IoT sensors, MES systems, and other sources enables the formulation of more assertive business cases, with projections of real gains based on precise analyses rather than assumptions or guesses.

Prioritizing initiatives, coupled with robust data governance and the combined expertise of manufacturing engineering and IT teams, forms the fundamental pillar for the success of AI projects on the factory floor. Governance ensures data quality and security, while the technical expertise of both teams enables the identification of high-impact processes and the implementation of predictive and proactive solutions aligned with the company’s strategic objectives.

From confessions to code: ethic, innovation and ai through saint augustin’s lens

Last week, the world met the new pope, Leo XIV, and, as expected, much was said about him. Robert Francis Prevost, born in Chicago in 1955, preached in Peru, where he became a citizen in 2015, and belongs to the Order of Saint Augustine, being the first Augustinian pope in history. This characteristic, his connection to the Order of Saint Augustine, caught my attention and inspired this text. More than a biographical detail, it invites us to explore the figure of Saint Augustine, whose spirituality shapes the new pontiff and offers profound reflections on faith and reason.

Saint Augustine (354-430), bishop of Hippo and Doctor of the Church, was born in present-day Algeria and left a legacy that transformed Catholic theology. The central point in his thought is the idea that reason must be guided by faith to achieve full truth.

The purpose of this text is not to preach about religion. Rather, its purpose is to draw a parallel between the concepts and thoughts of Saint Augustine and the principles of personal, professional, and spiritual ethics in relation to Artificial Intelligence (AI). In a world increasingly shaped by technology, the voice of ancient wisdom can help us look at today's challenges with deeper understanding. Augustine's legacy, based on the union between reason and faith, provides a solid path that might be used to support us in the consideration of how we can use modern tools like AI in ways that are responsible, fair, and human-centered. His ideas are not outdated, and they speak directly to the ethical questions we face now.

The advance of artificial intelligence represents one of the greatest ethical challenges of our time. Technology is shaping our relationships, our work, and the decisions we make every day. Because of this, it is essential to recover philosophical and spiritual foundations that can guide its use and development. This text uses Augustine’s thought to explore how faith-guided reason can foster ethical AI practices

The innovation that solves chronic problems through disruptive solutions is a phenomenon closely connected to a process of faith. An invention is born in the abstract, in the field of ideas, and only becomes real thanks to the belief and desire of its creator to bring it into the real world. In other words, inventors have faith in the invisible. This is a unique human capacity, and it is now being amplified by new technologies such as AI. But what are the values and essential questions that need to be considered to ensure that these inventions can benefit society in an ethical, transparent, and fair way? Can we say that the algorithms behind great inventions like social media, created by brilliant minds, are truly aligned with concepts such as justice, responsibility, and transparency? And what impact do these technologies have on our personal, professional, and spiritual lives?

For Saint Augustine, personal ethics is inseparable from the search for truth. In his Confessions, he writes, "the heart is restless until it rests in God" (Conf. I, 1,1). This phrase represents an existential inquiry into the human search for meaning. This inner restlessness can also be seen in the field of technology, where the pursuit of innovation must be guided by ethical purpose. AI developers should ask themselves: “Why am I creating this technology, and for whom?” In this context, personal ethics calls for humility, responsibility, and moral awareness.

Saint Augustine saw justice as the virtue that properly orders all things. In the professional context, this means that principles such as justice and responsibility should guide the development of AI. Codes of conduct such as those from ACM and IEEE stress the importance of avoiding harm, protecting privacy, and acting honestly. But as Vallor (2016) points out, this is not just about following rules; instead, it’s about building moral character. Professional ethics, from Saint Augustine’s perspective, requires that the expert’s reasoning always be in service of a greater good, beyond commercial interests or personal ambition.

Spirituality, in the Augustinian view, is not something separate from reason. It is its highest expression. Technology, when disconnected from spiritual values such as compassion, justice, and love for others, might lead to treating people with less humanity, fairness, and dignity. Pope Francis (2020) reminds us of the need for an ethics that sees the human being as an end, not a means. Spirituality helps guide the use of AI toward the common good, avoiding indifference to the social and moral consequences of its applications.

Saint Augustine’s thoughts provide a solid foundation for thinking about ethical issues associated with the development and utilization of artificial intelligence. His approach, unifying reason and faith, offers a way to combine technical skills with human values. It’s up to society, as the creators, to build algorithms, the creatures, grounded in fairness, equity, and the well-being of all. Personal, professional, and spiritual ethics should work in harmony to guide technology toward supporting human dignity and compassion, fostering a future where innovation serves humanity’s highest ideals.

Reference

ACM (2018). ACM Code of Ethics and Professional Conduct.

https://www.acm.org/code-of-ethics

Pope Francis. (2020). Encyclical Letter Fratelli Tutti of the Holy Father Francis on

Fraternity and Social Friendship https://www.vatican.va/content/francesco/pt/encyclicals/documents/papa-francesco_20201003_enciclica-fratelli-tutti.html

Saint Augustine (AD 401). The Confessions of Saint Augustine. Site

https://www.gutenberg.org/files/3296/3296-h/3296-h.htm

Vallor, S. (2016). Technology and the Virtues: A Philosophical Guide to a Future

Worth Wanting. Oxford University Press.