The Industrial Revolution was not an event that happened overnight, nor was it something people adapted to instantly. Just as societies evolve and transform over many years, businesses have also changed and developed over time in line with advancing technology and shifting human needs. Before the 1750s, products were manufactured by hand in workshop-style operations. With the introduction of steam power into production, these workshops gradually evolved into large factories. As time passed, steam power was replaced by electricity. Production became far more efficient, enabling mass manufacturing at an unprecedented scale.
While all these developments were taking place and production volumes were increasing, the process was far from flawless. Production lines came to a halt due to missing raw materials; excess products were manufactured despite existing inventory in warehouses; invoices could not be found even though sales had already taken place. All of these were part of that era. The core issue was no longer merely producing more or producing cheaply. The real challenge had become tracking what was produced and gaining visibility into the business itself.
The first steps taken in the 1960s emerged as a systematic response to this growing need for control within enterprises. Over time, these approaches expanded to cover areas such as production planning, inventory tracking, and finance, forming the foundation of what we now refer to as Enterprise Resource Planning (ERP) systems.
Material Requirements Planning Systems#
By the 1960s, businesses were finally able to see what they had in their warehouses. Through inventory tracking software, quantities of raw materials and finished goods were recorded, and attempts were made to forecast the future based on historical data. However, this level of visibility was not always sufficient to effectively manage production.
Knowing what was in stock did not mean knowing when to produce or what would be missing. Increasing production volumes and diversified customer demands confronted managers with far more complex questions. At this point, simple inventory tracking began to fall short as a decision-making tool.
Material Requirements Planning (MRP) systems, introduced in the 1970s, were designed to address exactly this need. MRP systems evaluated orders, existing inventory, and production components together, enabling managers to plan the entire production process. Decision-making processes began, for the first time, to rely not solely on intuition but on systematic data.
However, MRP systems were not flawless under all conditions. Designed primarily for mass production environments, they failed to deliver the same level of success for smaller and more flexible businesses. In markets where demand changed rapidly, these systems were criticized for being unresponsive and struggling to adapt.
These limitations did not lead to the abandonment of MRP, but rather to its expansion. In the 1980s, MRP II systems emerged, extending the original MRP structure with additional functions such as capacity planning, purchasing, and shop floor control, offering a more comprehensive approach to production planning.
The additional functions introduced with MRP II, which were not present in MRP systems, can be listed as follows:
- Purchasing function
- Shop floor control function
- Capacity planning function
ERP Systems#
By the 1990s, production in factories was being planned and inventory in company warehouses was being tracked. However, significant gaps still remained. Production and inventory were managed from a single point, but accounting records were kept in separate files, recruitment and other personnel processes were handled in different systems, and the sales department responded to customer requests without real-time awareness of the factory’s situation. In other words, businesses still relied on disconnected data silos, and establishing links between these systems was becoming increasingly complex.
With the concept of Enterprise Resource Planning, introduced into the literature by Gartner Group in the early 1990s, the goal became to connect these independent systems within organizations. In this context, ERP systems expanded beyond MRP II by incorporating modules such as finance, human resources, sales and marketing, quality management, and customer relationship management.
At the heart of this transformation brought by ERP systems was a centralized database. When the sales team entered an order, the production team could see it instantly, and the accounting team could simultaneously generate the necessary invoice. Information became fully accessible from every point within the organization.
Cloud Computing and Artificial Intelligence#
Traditional ERP systems are still widely used today. However, this does not mean that technological development has come to a halt. New needs continue to give rise to new features. While traditional ERP systems were highly useful and valuable for businesses, their installation and operational costs often made them risky investments. A problem occurring in the central database could potentially bring the entire organization to a standstill.
With the advancement of mobile technologies and the widespread adoption of the internet, the emergence of cloud computing has driven another evolution in ERP systems. Installation and maintenance costs, which once represented a significant burden for businesses, have largely been eliminated. Instead of building and maintaining an in-house database and system, organizations can now subscribe to ERP services provided by specialized vendors and integrate these systems into their operations quickly and at a relatively lower cost.
Furthermore, the shift to remote working during the pandemic has further increased the importance of cloud computing, making access to data from anywhere with an internet connection a critical requirement.
Another stage in the evolution of ERP systems is the integration of artificial intelligence, now an indispensable part of modern technology. With AI, businesses no longer merely record data; they can also use that data to generate consistent and actionable insights for future decision-making.
Conclusion#
With the Industrial Revolution, businesses seeking to accelerate production gradually began to feel the need not only to produce more, but also to understand and control production. At the point reached today, the issue is no longer merely about producing or recording data; it is about deriving meaning from data and making the right decision at the right time. The historical journey of ERP systems represents a summary of the technological responses developed to meet this ongoing pursuit of businesses.