Receiving tons of operational data doesn’t necessarily mean you know what’s going on across your manufacturing network. To enjoy a connected performance view and make necessary improvements, you need a manufacturing control tower. Here’s why.
Every day, quality teams detect defects, maintenance teams track machine malfunctions, and production lines churn out performance data. However, the information might exist in fragments, across emails, spreadsheets, and dashboards. This means spotting connections and coordinating a successful response isn’t easy.
With a manufacturing control tower, though, you can examine emerging issues, detect deviations, and track key indicators. You can also ensure effective response coordination across multiple plants, shifts, and departments.
However, don’t equate a control tower with a centralized screen that simply displays production statistics. A control tower forges a valuable connection between visibility in real time and decision-making as well as execution.
What Is a Manufacturing Control Tower?
It’s a unified environment for managing operations. A control tower brings relevant performance details together, identifies deviations, and helps with decision coordination and corrections.
You develop a perspective that’s more connected. You can also review network-wide performance, recognize plants that need help, study repetitive issues, and check the progress of improvements.
A manufacturing control tower might gather information from:
- Enterprise resource planning (ERP) platforms
- Manufacturing execution systems (MES)
- Maintenance applications
- Systems for quality management
- Tools for operational reporting
With the aid of structured information from frontline observations, everyday meetings, and improvement projects, a tower can combine the above data sources. It makes the information contained in different systems more meaningful for decision-making.
Difference between Manufacturing Control Tower and Conventional Dashboard
Dashboards that are traditional show specific metrics. But a control tower links such metrics to management processes associated with decision-making.
For instance, a dashboard might reflect that a facility’s output isn’t meeting the target. A control tower goes the extra mile though. It helps teams spot the relevant production area, delegate investigation responsibilities, escalate unaddressed constraints, and monitor the path of corrective actions.
This difference matters. Why? With visibility, you get clarity about performance. And through operational coordination, you can decide subsequent steps.
Why You Need a Connected Manufacturing Control Tower
The key reasons why a connected control tower is essential for modern manufacturers include:
Fragmented Information (Slow Decision-Making)
Manufacturing hiccups often affect multiple departments. For instance, a machine breaking down might impact maintenance workload, production schedules, and commitments around delivery.
And when teams bank on disconnected systems, it takes time to gauge the problem’s full repercussion. Instead of brainstorming solutions, you might waste precious hours on report reconciliation. Or by the time you are updated about an issue, the information might be obsolete.
However, by building a centralized view of operational priorities, a control tower can fix this challenge.
Multi-Site Operations (Poor Enterprise-Wide Visibility)
Running several plants means you need a decent idea about how each contributes to broader business goals. It’s also vital to understand if operational issues are repeating across the network or isolated.
Say, over the same span, three facilities witness an increase in scrap rates. If you review each plant independently, it might lead to three different investigations. However, a connected view might show that the factories process the same material or use similar machines.
Hence, a broader perspective allows you to separate local problems from systemic issues. With a control tower, you can detect robust performers easily too. For example, imagine one site resolves quality concerns faster than others every time. You can look into its working practices and decide if other plants need them.
Reactive Management (Delayed Problem Response)
Management becomes reactive when operational visibility isn’t reliable enough. You discover issues after missing production targets, for instance.
Luckily, a carefully designed control tower simplifies deviation detection, so teams can respond early on. It also reveals patterns that are recurring in nature, so you can take preventive and more effective action.
The aim isn’t about escalating every single variation. It’s about making sure that the right information reaches the right people on time, for better decision-making.
Key Aspects of a Successful Manufacturing Control Tower
The following components ensure the effectiveness of a control tower:
Connected Operational Data
Trustworthy information is a control tower’s foundation. Depending on organizational requirements, this might include:
- Production output
- Machine downtime
- Order status
- Quality performance
- Availability of labor
- Progress of improvement initiatives
And integration with systems already in place helps minimize manual reporting. You also get a more consistent picture of overall operations. However, decision-making doesn’t improve just by linking more data sources. Data needs a specific purpose, clear definitions, and proper validation.
Standardized Performance Indicators
Sure, visibility of key performance indicators should improve with a manufacturing control tower. However, users shouldn’t have to grapple with non-essential information.
Typically, a control tower makes these KPIs evident:
Overall Equipment Effectiveness (OEE): Combines equipment quality, performance, as well as availability
Production Plan Attainment: How aligned actual output is with planned production
First-Pass Yield (FPY): Number of units (out of all produced) that satisfy quality parameters without requiring rework
Downtime: Time for which a machine is not available for production, as per predefined rules
Scrap and Rework: Material loss and extra work triggered by defects
Delivery Performance: Degree to which production supports the delivery dates committed
Action Closure: If allotted actions (related to operations and improvement) are wrapped up punctually
Remember – you don’t need every possible indicator on the centralized screen. After all, a COO might want to check network-wide performance trends, while a plant manager cares about a certain production line’s details.
Clear Ownership and Follow-Up
A control tower that’s truly useful links performance gaps to people who are responsible and defined successive steps.
Hence, every major problem must have a clear status, a priority, an owner, and a target date for resolution. Where required, the system must note the investigation, correction, escalation, and result verification.
This way, you can ensure continuity between different management levels and shifts and prevent problems from getting ignored.
Visual Management and Workflows for Escalation
Interpreting operational data becomes easier with visual management. Teams can leverage trend views, color-coded indicators, and prioritized problem lists to separate issues that need intervention from routine variation.
And escalation workflows define what transpires when a problem:
- Stays unresolved
- Exceeds the authority of a team
- Threatens quality, safety, or commitments around delivery
When paired, visual management and escalation workflows turn a control tower into a useful operating environment.
How to Enhance Performance with a Manufacturing Control Tower
Better performance can be achieved with a control tower by:
Spotting Deviations and Prioritizing Issues
With a control tower, teams can figure out the distinctions between actual and expected performance. So, deciding which deviations are most important is the next step.
For instance, a short delay in production might be handled locally. However, a repetitive machine failure might put a crucial customer order at risk. So, while prioritizing deviations, account for quality, safety, delivery risk, effect on production, and response time available.
This way, teams won’t unnecessarily treat all deviations with the same urgency.
Analyzing Root Causes and Taking Corrective Steps
When a vital production line hits stoppage repeatedly:
- Operators might record the events
- Maintenance staff might check machine condition
- Production managers might evaluate the impact on output
But if stoppages go on, consider digging into the root cause.
Now, with a connected action-tracking technique, teams can work from commonly available information, delegate responsibilities, and track progress. Besides uncovering root causes, methods like Plan-Do-Check-Act (PDCA), Five Whys, etc. help test corrective steps and confirm the effectiveness of changes.
Translating Cross-Site Insights to Continuous Improvement
A control tower facilitates knowledge sharing by helping you compare performance information and improvement initiatives across factories.
Say, before a production run, one plant is improving preparation activities to slash changeover time. Another is leveraging a more efficient inspection mechanism to boost FPY.
When the operational environment is connected, you can detect these practices, assess their appropriateness, and coordinate adoption at other sites.
How to Effectively Implement a Manufacturing Control Tower
Embracing a well-thought-out approach is the key:
Begin With Organizational Priorities
What operational issues do you wish to resolve? Do they include inconsistent KPI definitions, repetitive quality problems, sluggish escalation, or subpar cross-site visibility? Having clear priorities help you decide:
- What information to integrate
- Which decisions should receive the control tower’s support
- How to gauge success
Retain Local Flexibility While Establishing Common Standards
In multi-site manufacturing, your control tower needs accountability standards, definitions, rules of escalation, and reporting expectations that are common across plants. However, wherever local operating environments, regulations, product mix, or machines justify distinct approaches, plants should preserve flexibility.
Basically, the aim isn’t to impose the same production process on all facilities. Rather, you need a common management framework with room for controlled and documented exceptions.
Pilot the Model
With a pilot, you can test suggested workflows, validate the quality of data, and understand how the system will be used by frontline employees. The pilot should also measure:
- Overdue actions
- Time taken to fix major hiccups
- Recurring issue rates
- Reporting effort
- Improvements in operational KPIs
Obtain feedback on the pilot from plant managers, supervisors, and operators too. If the model turns out to be useful, consider refining the approach and rolling it out to the other sites.
Avoid Common Errors
For starters, don’t equate real-time data with decisions in real time. Information translates to value only when people know who’s in charge of responding and what action is required.
Secondly, don’t cram the dashboard with too many metrics. Focus on KPIs linked to specific operational responsibilities and decisions.
Thirdly, don’t assume that a control tower will replace shop floor management. Direct observation, frontline expertise, and everyday conversations will always be critical.
Get Ready to Build a Connected Control Tower for Operational Excellence
Operational visibility meets coordinated action with a manufacturing control tower. By understanding what’s going on across plants, you can address problems before they snowball into major disruptions.
Your network learns collectively too. Factories compare performance, examine differences, exchange best practices, and introduce improvements without ignoring local operating requirements. And with Fabriq, much like a digital control tower, it’s easier than ever.
Instead of depending on whiteboards and spreadsheets, you can weave a consistent operating model into daily execution. From visualizing operations and structuring management meetings to tracking problems and actions and connecting factories with leadership, Fabriq facilitates it all.
Here’s how Fabriq bridges the gap between performance monitoring and continuous improvement.
