Skip to content
FourJaw shop floor operator
James BrookJul 10, 2025 10:59:24 AM5 min read

Manufacturing Data Collection: The First Step to Shop Floor Optimisation

Manufacturing Data Collection: The First Step to Shop Floor Optimisation
8:12

To optimise productivity on the shop floor, manufacturers need more than instinct; they need facts. Relying on gut feel or outdated reporting methods to drive improvement is no longer sustainable in a world where data-driven competitors are gaining ground fast.

Fortunately, collecting accurate production data is now easier and more cost-effective than ever. With the rise of non-intrusive sensors and industrial IoT gateways, manufacturers can quickly gain real-time visibility into what’s really happening on the shop floor. And with that clarity, driving meaningful change—whether it’s improving machine uptime, reducing setup times, or engaging teams in continuous improvement—becomes significantly easier. In this article, we’ll break down:

•    Why data collection is critical to shop floor optimisation
•    How manufacturers can get started
•    How it benefits operators, production teams and managers alike

Why Manufacturing Data Collection Matters

The shop floor is where value is created—but it’s also where inefficiencies often hide. Historically, production managers have relied on manual observations, whiteboards, spreadsheets or tribal knowledge to monitor performance. These methods are slow, subjective, and limited in scope.

Manufacturing data collection software solves this problem by capturing objective, continuous data directly from machines and operators. This gives manufacturers a live view of what’s happening on the shop floor, when machines are running, why they’re not, how long setups take, and where bottlenecks or inefficiencies are emerging.

By digitising data collection, manufacturers can:

  • Monitor production performance in real time
  • Identify root causes of downtime
  • Compare shift, cell, or site performance
  • Make confident decisions backed by evidence, not assumptions

In short, it’s the first step towards a culture of continuous improvement.

How to Get Started (With Lean in Mind)

Digitising your shop floor shouldn’t be a disruptive overhaul. In fact, manufacturing data collection software is most effective when deployed as part of an incremental, continuous improvement mindset,  just as Lean manufacturing principles intend.

Here’s how to get started with FourJaw, using proven methodologies as your guide:

Start with the Value Stream

Begin by mapping your production processes to identify where value is created—and where it’s lost. This aligns with Value Stream Mapping (VSM), a core Lean tool. Look for bottlenecks, excessive idle time, or areas where changeovers or unplanned downtime are common.

Choose a Plug-and-Play Technology Solution

One of the biggest barriers to adopting shop floor data collection used to be the complexity and cost of integration, often requiring direct access to a machine’s PLC or control systems. Today, that’s no longer the case.

Modern industrial IoT sensors and edge devices are designed to be non-intrusive, quick to install, and compatible with a wide range of machines, old or new.  Plug-and-play solutions, like FourJaw's, sit outside the machine’s control system, meaning they don’t require downtime, wiring into PLCs, or special permissions from OEMs. In many cases, installation can be completed in under an hour per machine, without disrupting production.

This shift in technology has made real-time data machine data collection accessible to manufacturers of all sizes, enabling faster rollout, faster ROI, and minimal friction for operations teams
.

Learn how this global manufacturer found 273 lost productive hours per week using FourJaw. Read the case study

Capture Baseline Metrics

Immediately start collecting machine data: runtime, idle time, downtime reasons, shift patterns, and OEE. This gives you a data-driven baseline for performance, essential if you're using methodologies such as the Eight Wastes of Lean (e.g. waiting, motion, overproduction).

Use Data to Prioritise Lean Improvements

Once data flows in, use it to target high-impact areas:

  • High downtime? Consider applying SMED (Single-Minute Exchange of Dies) to reduce changeover times.
  • Excessive motion or walk time to whiteboards? Introduce Andon-style dashboards or FourJaw’s operator tablets.
  • Messy or unorganised work areas? Use data visibility to support a 5S initiative—sort, set in order, shine, standardise, sustain.

Bring Data Into Daily Stand-Ups

Make your improvements stick by embedding insights into your Daily Gemba walks or Kaizen stand-ups. Use FourJaw dashboards to review yesterday’s performance, involve operators in the conversation, and identify actions for improvement.

This step-by-step approach helps manufacturers turn passive data into active improvement, exactly as Lean intends.

Find out how this British Aerospace Manufacturers increased Machine Uptime by 30% using FourJaw. Read the case study

Manufacturing Data Collection - How it Benefits Teams 

Data alone doesn’t change a factory—people do. But when data is shared, accessible, and actionable, it becomes a powerful enabler for team engagement and operational excellence. Here’s how FourJaw’s data collection software supports teams at every level of the factory:

Operators

Operators are often closest to the problems, but least empowered to solve them. FourJaw’s tablet interface allows them to log reasons for downtime in real time, supporting operator-led Kaizen. When teams see their feedback lead to tangible improvements, engagement soars. Data also helps standardise routines. For example:

  • Identify and reduce setup times using SMED techniques.
  • Improve consistency between shifts through standardised work.
  • Use operator feedback loops to fine-tune 5S efforts.

Team Leaders & Supervisors

FourJaw provides real-time visibility into machine and cell performance, helping team leads:

  • Spot underperformance before it snowballs.
  • Run more effective tiered daily meetings, grounded in facts.
  • Coach based on trends, not hearsay.

By integrating live data into existing stand-up routines or huddles, leaders can drive accountability and continuous improvement with confidence.

Production Managers

With full visibility across machines, shifts, and teams, production managers can:

  • Allocate resources more effectively.
  • Reduce variation between shifts or production lines.
  • Plan improvement sprints based on real utilisation data, not guesswork.

Data supports broader Lean and CI programmes by enabling PDCA (Plan-Do-Check-Act) cycles to run faster and with more precision.

Executives & CI Leaders

At the strategic level, FourJaw provides a clear line of sight between improvement initiatives and financial outcomes. It supports:

  • Identification of hidden capacity (avoiding unnecessary capex).
  • Benchmarking across sites or production cells.
  • Faster ROI tracking on CI investments and Lean initiatives.

Ultimately, FourJaw helps turn isolated improvement efforts into a scalable, repeatable improvement culture, rooted in Lean principles and powered by real-time data.

"FourJaw was an easy investment to make and a giant leap forward in our digitisation journey. It has been adopted as part of the culture of our organisation, improving efficiency and communication and providing objective data to inform production schedules, operational improvements and machine investment strategies."

Chris Ryan | Continuous Improvement Manager

Read the case study.

Summary

Shop floor optimisation starts with understanding what’s really happening in your factory. Manufacturing data collection software like FourJaw provides the visibility, accuracy, and speed manufacturers need to unlock hidden capacity, reduce waste, and drive continuous improvement.

Whether you’re just starting your digital journey or looking to scale your smart factory initiatives, the message is clear: if you want to improve your performance, start by collecting the right data.

Easy to install. Simple to use. Built to drive results. FourJaw gives manufacturers a faster route to shop floor optimisation, with no complex integrations required

 

avatar
James Brook
A passionate and experienced Marketing Leader with a background of 15+ years in developing and implementing marketing, brand, and product strategies for companies across a breadth of sectors and geographies. Over the last five years, James has worked in the technology space, having led the global marketing function at an Industrial monitoring and control company and more recently joining FourJaw as Head of Marketing & Communications. FourJaw is a SaaS business that is helping to change the world of manufacturing productivity through its IoT machine monitoring platfom.