Is Your Factory Ready for Smart Manufacturing?

It’s one thing to understand smart manufacturing, but knowing if your facility is prepared for it is just as vital. Most manufacturers hear about the benefits, reduced downtime, real-time visibility, lower operational costs, and they want a piece of it. However, the question is rarely asked before the first purchase order is, "What is the level we are at today, and what does the path forward look like from here?"

So that’s the question the Smart Manufacturing Kaizen Level (SMKL) model hopes to answer for manufacturers. This maps your operation across two dimensions.

Maturity Level: How well you collect, visualize, analyze, and optimize data.

Management Level: How broad in scope that capability is, from a single machine to a full supply chain and several locations.

Before you can move up or out on that grid, you’ve got to be honest about where you are today, and more importantly, you need to know what could be holding you back. Here are four of the most common pitfalls manufacturers run into when beginning their smart manufacturing journey, and what to do about each one.

The first step in the SMKL Maturity Scale is Data collection. You can’t visualize, analyze or optimize data you’re not collecting. You can’t collect data from machines that have no way to communicate.

Facilities often have a patchwork of equipment, with some machines using modern PLCs, others using older controllers, and some having no digital output at all. If you’re still recording production data on clipboards or entering it into spreadsheets after the shift, you’re at Level A, Maturity 1. This is the starting point, not criticism, but it means building the foundation before spending on dashboards or software platforms. Platforms, like Mitsubishi Electric ICONICS Genesis, are designed to interface with just about any device or protocol, PLC’s, VFD’s, servo drives, sensors and remote I/O. Connectivity is fixable, but it needs to be planned for not assumed.

Questions to Ask:

• Do you know which machines currently output digital data?

• Do your controllers support protocols like OPC-UA, Modbus, or EtherNet/IP?

• Is there a plan for the equipment that doesn't?

"We've been acquiring equipment over a span of 40 years, and there's no way we can modernize all at once.” This is one of the most common concerns we hear, and also one of the biggest misconceptions.

Legacy systems don’t hinder smart manufacturing. They are a factor to think about. Often, older equipment can be made intelligent by retrofitting it with sensors, protocol converters or I/O modules. Imagine a manufacturer with three lines that meet targets on paper. Yet there are unexplained spikes in energy use, stoppages that are logged as “minor”, and one line with a quality problem that no one can trace. The data is there; it’s just broken up and post-fact analyzed. Don't worry, legacy equipment won’t stop you from getting there.

Questions to Ask:

• Do you have an equipment inventory with controller type and communication capability for each asset?

• Have you identified which machines are highest priority based on impact on output, quality, or energy?

• Have you consulted with a partner about what is feasible before assuming it is not?

The hesitation is understandable that, most managers wouldn’t upgrade a working system just because it’s newer. The problem is having ROI conversations without a shared understanding of what the investment actually requires, not just financially but organizationally.

Deploying a SCADA platform is not plug and play. It takes an owner. Operators have to consistently log the data, and managers have to act on what they see. Without that commitment, smart manufacturing projects get installed and are underutilized. Each step up the SMKL model (Collect, Visualize, Analyze) requires more organizational engagement, not less. An asset is not a dashboard that no one reads. It is the leadership that creates the value of people making better decisions with better information.

Questions to Ask:

• Does leadership understand what implementation involves, not just what the end state looks like?

• Is there a designated owner for the initiative on the operations side?

• Has the team agreed on which KPIs will be tracked and reviewed regularly?

This is the trap that catches most manufacturers off guard. The conversation begins with software and data strategy, and, at some point, someone asks “Does our network really support this?”

Industrial data collection is not office IT.  Connecting equipment across a plant floor puts real demands on your infrastructure. Latency, bandwidth, OT/IT segmentation and wireless dead zones can quietly sabotage a deployment even when all else is configured properly. A facility that added WiFi for forklift scanners five years ago may not have the architecture to support real-time machine data at scale. ICONICS Genesis can serve dashboards to any device anywhere, but only if the network reliably carries the data from machine to platform.

Questions to Ask:

• Has your network been assessed for industrial use, not just office or warehouse use?

• Are your OT and IT networks properly segmented for security and performance?

• Do you have wired backbone infrastructure, or are you relying on wireless coverage that may have gaps near equipment?

The SMKL model is not a judgment, it is a starting point. Every manufacturer sits somewhere on that matrix. The goal is to understand where you are today, identify what is preventing you from moving to the next level, and take a deliberate step in that direction. Most factories do not need a complete overhaul to begin. They need clarity on what data matters, what infrastructure exists to capture it, and what decisions will look different once they can see it.

Get Started with the Right Partner

At Allied Automation, we help manufacturers take the first step without guessing. Whether you are evaluating connectivity, assessing legacy equipment, or making the case to leadership, our team works with you to identify the data that matters most, design solutions that fit your operation, and deliver measurable results.

Ready to find out where your operation sits on the SMKL grid, and what the next step looks like? Contact Allied Automation today.