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Managed Solutions knowledge, organized around the work

Start with the manufacturing problem, not the product.

Describe what is getting in the way. MFGGlue connects the problem to practical approaches, the right technology categories, and the original Managed Solutions knowledge behind them.

Explore a problem
A Managed Solutions experiment

MFGGlue.ai is a transparent, AI-organized interpretation of Managed Solutions expertise. It helps you find the connections; ManagedSolutions.com remains the authoritative source.

Phase 1 uses curated pathways grounded in source material reviewed September 2026.

01

Problem Explorer

What are you trying to fix?

AI interpretation Pathway 01 / 08

Why it matters

A practical direction

Technologies that may fit

A useful first checkpoint

From the original Managed Solutions material
Discuss your machine mix
02

Common challenges

The symptoms usually appear before the category does.

03

Where the glue lives

Connect the layers that already matter.

The value is rarely one isolated product. It is the controlled path between equipment, information, people, and decisions. Not every operation needs every layer.

04

Solutions, in plain English

Different tools answer different questions.

Start with the job to be done. Product boundaries make more sense once the problem is clear.

MDM

Manufacturing Data Management

How do we control the complete production-information environment—files, revisions, approvals, and workflows?

Read the technical source ↗
OT

OT-Max

How do we create a more controlled, encrypted path to shop-floor equipment without relying on broad legacy network access?

Read the technical source ↗
EDT

CIMCO Edit

How do programmers edit, compare, backplot, simulate, and verify NC code before it becomes a machine-side problem?

Read the technical source ↗
The MFGGlue principle

Connect the answer.
Show the source.

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Machine monitoring does not improve a process by itself. It makes losses visible enough for a team to investigate and act.

Managed Solutions source How to Build a Business Case for Machine Monitoring ↗
05

A practical starting path

Prove one useful connection before scaling the architecture.

A bounded first project should create evidence, not another technology layer to maintain.

  1. 01
    Name the operational constraint

    Choose the delay, risk, or uncertainty that people already recognize—not a broad transformation slogan.

  2. 02
    Define what better looks like

    Identify the decision, handoff, or daily behavior that should change when the connection works.

  3. 03
    Test on a representative slice

    Use a small machine group, workflow, or information set that is varied enough to teach you something real.

  4. 04
    Validate with the people doing the work

    Check raw events, program paths, approval behavior, and exceptions before polishing reports or expanding scope.

The objective: a working baseline and a clearer next decision.

See how Managed Solutions approaches implementation ↗
06

Knowledge Explorer

Read by problem, not publish date.

150 source-backed answers Search the library →
Searchable library

Ask a practical manufacturing question and find the source behind the answer.

Explore 150 curated answers across nine manufacturing decision areas.

Open the Knowledge Library → Making the case

Turn machine visibility into a credible business conversation.

Start with your own utilization, downtime, spindle-hour, and quality data.

Explore the full article ↗ Program delivery

Let document control identify the file and DNC handle delivery.

See how MDM Remote Request and DNC-Max can divide the work.

Explore the full article ↗
07

Why Managed Solutions

Manufacturing problems rarely stay inside one system.

Managed Solutions brings an IT foundation dating to 1997, a manufacturing focus shaped over decades, and hands-on experience connecting CIMCO software, machines, production information, and business systems.

The work begins by understanding the actual constraint. Sometimes the right answer is reliable DNC. Sometimes it is better context around machine activity, controlled production documents, an edge device for older equipment, or integration between layers that already exist.

Read the original company story ↗
1997Founded in IT
2006CIMCO focus began
2019Inaugural Solution Provider

The unusual problems are often the interesting ones.

Have a manufacturing problem that doesn’t fit neatly into a box?

Start a practical conversation