
Common Resource Allocation Problems and AI Solutions
- BlogSmarter AI
- Edited by Ruth Kearney
- Blog
- April 25, 2026
- Updated:
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Resource allocation problems in metals manufacturing cost plants money every year. The culprits are the same on most shop floors: scrap waste, production delays, uneven workloads, and stock blind spots. Spreadsheets and paper logs struggle to keep up.
Software can help with some of these problems and not others. GoSmarter covers cutting plans, stock and offcut tracking, and certificate handling. It does not schedule machines. We say which is which as we go.
Where GoSmarter Helps and Where It Does Not
- Scrap waste: Cutting Plans builds cut plans from live stock and open orders. It uses offcuts first, and you can override any cut.
- Stock blind spots: Metals Manager tracks stock, offcuts and scrap, so planners see what you hold.
- Certificate chaos: MillCert Reader reads mill certificates, so heat numbers and grades reach your records without retyping.
- Production delays and uneven workloads: these are scheduling problems. GoSmarter is not a Manufacturing Execution System (MES). It does not assign jobs to machines, so you use a scheduling tool or your own planner for that.
Here is how each problem plays out, and what you can do about it.

Planning and Scheduling Problems in Metals: What Software Can and Cannot Fix
Material Waste: How Poor Planning Drives Up Costs
Material waste is a silent profit killer in metals manufacturing. Manual cut planning typically wastes 5–8% of material on rebar. Scrap sold for recycling returns about 40p in the pound, so every wasted tonne eats into your margin.
Why does this happen? Spreadsheets cannot test every cutting permutation, and no person can either. At 80 orders, the number of possible combinations of orders and bars is larger than anyone can work through in a morning. That is not a skills gap. It is arithmetic.
The result is inefficient cutting patterns. They either leave waste or force operators to open new stock when offcuts could have done the job. Add last-minute orders and plans go stale. Offcuts go untracked, and operators walk the floor to find out what is in stock.
How Cut Plan Optimisation Reduces Scrap
Cutting Plans analyses your stock and open orders together. It builds cut plans that minimise waste and uses offcuts before it asks you to open new bars. You can override cuts when the saw operator knows better.
Midland Steel, a UK rebar manufacturer, ran a two-week production trial of GoSmarter’s Cutting Plans. It covered 734 tonnes of steel across 193 jobs. Scrap fell from about 5% to 2.5% against the manual planning baseline. That is a 50% reduction. The trial is ongoing. Read the scrap and yield hub for the full figures and the Midland Steel case study for the company.
Offcut tracking matters as much as the plan. When your cut plans use existing stock, you stop ordering steel you already have in the rack.
| Feature | Manual planning (spreadsheets) | Cutting Plans |
|---|---|---|
| Scrap rate | 5–8% on rebar | Targets 2.5% or less |
| Planning time | Often hours | Minutes |
| Offcuts | Often lost or unrecorded | Used first in the next plan |
| Accuracy | Prone to arithmetic errors | Calculated from live stock and open orders |
Switching from spreadsheets is about reclaiming margin. Joining mill certificate data to stock records and cut plans also keeps every cut traceable to its heat number.
Production Delays: The Cost of Poor Scheduling
This section describes scheduling in general. It is not a description of what GoSmarter does. GoSmarter does not schedule machines or assign jobs to them.
Scheduling inefficiencies are like a slow leak. Every machine breakdown, urgent order or absence sends planners scrambling. They rework outdated schedules, and the fallout is predictable. You get missed deadlines, inflated overtime, and machines that sit idle or run flat out.
At the heart of this is static planning. A manual schedule depends on snapshots: yesterday’s stock count and a guess at when material arrives. When a machine fails or a rush order lands, planners either keep a useless schedule or start again.
Workforce imbalances make things worse. Without live updates on skills and availability, managers overload experienced operators while others wait. That creates bottlenecks at critical workstations.
What Scheduling Tools Do About Bottlenecks
Dedicated scheduling and MES tools take live data from shop floor systems and recalculate plans when something changes. Many also offer “what-if” analysis. You can see how an urgent order affects current jobs before you commit.
Those tools are a different product category from GoSmarter. GoSmarter does not schedule machines, and it does not connect to machines. Its cut plans feed whichever scheduling tool you use. Your scheduler decides when a job runs. Cutting Plans decides which bars to cut for it.
| Feature | Manual scheduling | Dedicated scheduling tools |
|---|---|---|
| Update frequency | Periodic and error-prone | Automatic recalculation |
| Resource allocation | Memory-based or static lists | Skill and availability rules |
| Bottleneck handling | Reactive | Proactive “what-if” testing |
If you already run an ERP, a scheduling tool sits beside it. GoSmarter also works alongside your ERP. You exchange data through CSV files or the REST API. Read how this fits together in the shop floor planning hub.
Resource Imbalance: Idle Machines and Overworked Teams
Again, this is general context. GoSmarter does not balance workloads or move jobs between machines.
When resources are spread unevenly, production suffers. Some shifts push people into overtime while machines sit idle elsewhere. Skilled operators are overloaded, and others wait for tasks. Data is stuck in silos, so planners guess.
Demand spikes make it worse. When a rush order comes in, planners reshuffle work without a clear picture of who and what is free. Overtime costs rise, deliveries slip, and morale takes a hit.
Fixing this means a scheduling tool, a good planner, or both. What GoSmarter adds is a reliable input. A cut plan built from live stock and open orders tells your planner what the saw needs. That gives them fewer surprises to schedule around.
Supply Chain Problems: Inventory and Lead Time Issues
When materials do not show up, or you unknowingly sit on stock you already have, everything falls apart. The main culprit is no live view of your stock. Planners guess what is available and what other jobs have claimed.
That blind spot leads to panic buying. You pay inflated prices for material that may already sit in your yard, buried in offcuts or lost in outdated records.
Excess stock is just as bad. It eats working capital and clutters the yard. Offcuts go untracked because nobody knows they are there, so planners over-order “just in case”.
How Stock Visibility Prevents Stockouts and Overstocking
Metals Manager gives you a live view of coil, plate, bar and tube. It tracks stock, offcuts and scrap. You can see what you hold and what orders have claimed, so you are not caught off guard.
MillCert Reader reads mill certificates and pulls heat numbers, grades and mechanical properties into your records. You stop digging through files during audits or despatch. Product Lineage then shows each piece from goods in to goods out.
Offcuts you thought were scrap stay live stock. Planners use what is already there before they order more.
Make the Numbers Work
Metals manufacturing is hard enough without fighting your own software. GoSmarter targets the paperwork: cut plans, offcut tracking and certificate reading. Your engineers get back to the work that matters.
GoSmarter works alongside your existing ERP through CSV files or the REST API. Better stock and cut data helps planners protect On-Time In Full (OTIF) delivery. You still need a scheduling method for machines.
Want to see the numbers? The Business Case Calculator in the free tools lets you estimate savings for your own plant. It gives your finance team a clear view of the return before you start. See the operations solution page for more.
FAQs
What data does AI need to optimise cutting and reduce scrap?
Does GoSmarter reschedule production when a machine fails or a rush order arrives?
Will GoSmarter work with my existing ERP and spreadsheets?
What are the most common resource allocation problems in metals manufacturing?
How long does it take to see results from better cut planning?
Further Reading
Related reading
- Automate Cutting Lists, Nesting and Scheduling Without MES
Stop re-keying orders and stock. Automate cutting lists, offcut tracking and nesting hand-offs without a full manufacturing execution system (MES).
10 min read
- Real-Time AI Inventory Tracking for Metals Warehouses
Missing coils, messy mill certs and a dispatch scramble every shift. See how to fix stock, offcuts and traceability with AI, and hit 98-99% accuracy.
21 min read
- Digital Twins in Metals Manufacturing: A Complete Guide
Digital twins cut steel scrap from 5-8% to under 2.5%. Learn the standards, data foundations and pilot plan that make one work on your line.
24 min read
About the Author

Editor· Co-Founder & CEO
Ruth Kearney is Co-Founder and CEO of GoSmarter AI — driving commercial growth and strategic partnerships to help metals manufacturers adopt AI and digital tools that actually deliver on the shop floor.