How ProPlastics Reduced Reporting and Mold Tracking Time With Connected Monitoring

SensFlo and ProPlastics logos over an injection molding workspace, highlighting faster reporting and mold tracking through connected monitoring.

Mold performance affects production time, part quality, maintenance planning, and the ability to scale injection molding profitably. ProPlastics wanted better visibility into mold setup, maintenance, and tool performance while addressing unplanned downtime and inconsistent part quality.

SensFlo digitized mold monitoring and linked tool performance data with IQMS. The public ProPlastics Success Story reports five minutes saved per shift per operator, more than 20 minutes saved daily on reporting, and 10 minutes saved daily through automated shot counting.

Key takeaways

• Five minutes were saved per shift per operator.

• More than 20 minutes were saved each day on reporting.

• Automated shot counting saved 10 minutes each day.

Why mold visibility matters for profitable injection molding

Injection molding performance depends on more than whether the press is running. Tool condition, mold identification, setup consistency, cavity behavior, shot count, maintenance history, and part quality all influence productive output.

ProPlastics needed to reduce inefficiencies in mold setup and maintenance while gaining a clearer view of tool performance. Unplanned downtime and inconsistent part quality also limited the company’s ability to scale production profitably. SensFlo’s machine monitoring guide for plastic injection molding explains how press and mold data can support utilization, downtime, cycle time, maintenance, and quality decisions.

Digitizing mold identity and performance data

The SensFlo strategy focused on digitizing mold monitoring and connecting tool performance data directly with IQMS. The implementation included real time cavity pressure sensors, automatic mold identification, and dashboards that gave operators and supervisors access to current information.

The system also included SensPro IoT and SensAsset IoT capabilities, controller and analog data, fault codes, WiFi connectivity, on premises deployment, downtime reasons, and efficiency alerts. Together, these components created a more structured record of mold activity and production conditions.

The SensFlo plastics industry solution is designed around injection molding information such as cycle time, mold changeovers, unplanned stops, and press utilization. ProPlastics added mold identification and cavity information to that visibility.

Reducing manual reporting and counting work

The published results show savings in several recurring tasks. Five minutes were saved per shift per operator. More than 20 minutes were saved each day on reporting. Automated shot counting saved another 10 minutes each day.

These individual time savings matter because they repeat. Manual reporting and shot counting can draw attention away from production, supervision, maintenance, or quality work. Automation gives the team a consistent record while reducing the amount of time required to create it.

The case study does not publish a total labor cost reduction or annual savings figure. A manufacturer evaluating the financial effect should multiply the verified time saved by the number of affected shifts, operators, and working days, then apply the relevant labor cost.

Connecting mold data with the existing business system

Linking tool performance data with IQMS reduced the separation between shop floor activity and the company’s existing information environment. Operators and supervisors could use dashboards for current decisions, while the integration supported a more complete production record.

This type of connection becomes more important as a plastics operation grows. Separate mold logs, shot counts, maintenance records, and production reports can create repeated entry and mismatched information. SensFlo’s FloControl Premier supports MES and ERP integration, job tracking, and custom API access for manufacturers that need machine data connected with broader systems.

How the ProPlastics approach supports revenue and savings

The top line opportunity comes from protecting productive mold and press time. Better visibility can help a team identify conditions that interrupt output, affect quality, or slow setup and maintenance activity. The bottom line opportunity comes from reducing manual reporting time and avoiding repeated administrative work.

The published ProPlastics case study provides verified time savings but does not provide a revenue increase, scrap reduction percentage, or ROI figure. Those outcomes should be measured separately using the company’s actual labor, production, material, and quality data.

The SensFlo ROAI Calculator can help manufacturers estimate the value of recovered production time. Labor savings from reporting and shot counting can be added using verified internal cost data.

What other plastics manufacturers can learn from ProPlastics

ProPlastics shows the value of treating the mold as a connected production asset. Automatic identification, cavity pressure information, shot counting, dashboards, and IQMS integration created a shared source of tool performance data.

A plastics manufacturer can begin by identifying the mold related tasks that consume the most time or create the most uncertainty. Monitoring can then be applied to improve identification, counting, condition visibility, reporting, and maintenance decisions in a measured sequence.

Frequently asked questions

How did SensFlo help ProPlastics monitor molds?

SensFlo digitized mold monitoring and linked tool performance data with IQMS. The implementation included real time cavity pressure sensors, automatic mold identification, connected dashboards, SensPro IoT, and SensAsset IoT. Operators and supervisors gained current access to mold and production information.

How much time did ProPlastics save?

The public case study reports five minutes saved per shift per operator, more than 20 minutes saved daily on reporting, and 10 minutes saved daily through automated shot counting. The case study does not publish a total annual labor savings figure.

Why is automatic mold identification useful?

Automatic mold identification creates a consistent link between the physical tool and its production data. It reduces uncertainty about which mold is running and supports more reliable tracking of shot count, performance, maintenance, downtime, and related process information.

How does mold monitoring support part quality?

Mold monitoring provides production context such as cavity pressure, tool identity, shot count, downtime, and efficiency alerts. This information can help teams investigate process conditions associated with inconsistent part quality. The ProPlastics case study states that inconsistent quality was a challenge, but it does not publish a specific quality improvement percentage.

Plastics manufacturers can review FloControl Pro, compare pricing, or contact SensFlo to discuss mold and press monitoring.

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