In many production lines, the main problem is not just a lack of equipment or low nominal capacity; sometimes a significant part of the production loss comes from recurring stoppages, inconsistencies between stations, hidden bottlenecks and a lack of accurate data on the actual performance of the line. In this project, the main focus was on identifying waste points in the production process, analyzing the operational behavior of the line and redesigning parts of the workflow so that the production line can operate more stably, faster and more controllable with the same existing infrastructure.
Despite having the main equipment and the designed capacity, the production line faced frequent stoppages, reduced efficiency and fluctuations in output in daily operation. These stoppages were not always caused by major breakdowns; rather, a series of small disturbances, delays in moving parts, imbalance between stations, waiting times and lack of precise prioritization in maintenance and repairs had caused a noticeable drop in operational capacity.
Key challenges
Short but frequent stops in key sections of the line
The presence of bottlenecks in some stations and accumulation of semi-finished parts
Inconsistency between the working speeds of different stations
Lack of an accurate picture of the real reasons for the capacity drop
Increased workload on the production and maintenance team
Reduced predictability in the daily production schedule
Rodman did not approach the project merely as an equipment problem; rather, the production line was analyzed as a living, connected system. In this approach, the performance of each station, material movement paths, downtime periods, actual equipment capacity, workforce behavior, and the maintenance and repair pattern were assessed in an integrated manner. The goal was to first identify and activate the hidden capacity of the line before adding heavy costs.
In the first phase, the current process of the line was examined; from the entry of materials and parts to the exit of the final product. Stop times, waiting points, high-density stations, transfer routes and the actual capacity of each section were analyzed.
After reviewing the data and field observations, it was determined that part of the capacity drop was due to an imbalance between stations. Some stations were operating faster than the next section, which caused queues, stoppages, and a decrease in production rhythm.
In order to reduce waiting times and improve the movement of parts, some of the operation sequences, movement routes, and operational layouts were revised. The main focus was on streamlining the flow, reducing unnecessary round trips, and increasing continuity between stations.
In order to reduce waiting times and improve the movement of parts, some of the operation sequences, movement routes, and operational layouts were revised. The main focus was on streamlining the flow, reducing unnecessary round trips, and increasing continuity between stations.
To ensure consistency, metrics were defined to monitor downtime, capacity, cycle time, station productivity, and throughput. These metrics helped the operations team monitor line performance not only at the end of the day, but also throughout the process.
The implementation of this project resulted in a more stable and predictable production line with the same basic infrastructure. Recurring stoppages were reduced, coordination between stations was improved, and the line’s operational capacity was increased without the need for heavy investment in physical expansion.
