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Direct Answer
Small manufacturers don't need massive algorithmic MRPs for capacity planning. By applying finite capacity scheduling, you turn each shift into a fixed visual block. You calculate true available hours by derating theoretical capacity for setups and maintenance, locate your primary bottleneck, and schedule all jobs to maximize throughput at that specific constraint.
Capacity planning sounds like something for large factories with dedicated operations research teams. In practice, every small manufacturer does it every day — they just do it poorly. If you've ever told a customer "we can definitely have that by Friday" and then watched your press brake operator work until 9 PM on Thursday night to make it happen, you've experienced a capacity planning failure. The good news is that the fix doesn't require an expensive MRP system — it requires a disciplined understanding of what your machines can actually produce in a given shift.
Infinite vs Finite Capacity Planning
MRP (Material Requirements Planning) systems often rely on infinite capacity assumptions. They look at a due date, subtract the lead time, and drop the work order onto the shop floor on a specific date. They assume you have endless operators, limitless tooling, and 100% spindle uptime. This assumption creates chaotic shop queues. Finite capacity planning respects the laws of physics. If your 3-axis mill has 8 hours of shift time, finite scheduling blocks you from assigning 10 hours of work to it without explicitly authorizing overtime.
The practical difference is significant. A shop running infinite capacity assumptions will commit to customer lead times that are systematically impossible to meet. Every week becomes a triage exercise — which customer gets their order late? Finite planning forces a hard, honest conversation: either move the delivery date, authorize overtime, subcontract work, or offload a lower-priority job to next week. That conversation is uncomfortable, but it happens before the deadline rather than after it.
The 4 Levels of Shop Capacity
- Theoretical Gross Capacity: 24 hours a day, 7 days a week. Completely unrealistic unless you run a fully lights-out autonomous operation. This number is useful only as a ceiling for planning purposes.
- Available Operational Capacity: Your scheduled shift hours minus planned breaks, shift handovers, and preventive maintenance windows. For a single-shift operation running 7:00 AM to 3:30 PM, this is roughly 7.5 hours after two 15-minute breaks and a 30-minute lunch period.
- Demonstrated Effective Capacity: The historical reality. What your shop floor actually produced over the last 30 days after accounting for scrap, setups, tool changes, and unexpected breakdowns. This is the number you should actually schedule to.
- Utilization Cap: The maximum safe threshold to run a machine before maintenance issues spike. Running at 100% utilization guarantees a catastrophic breakdown; most machine shops target 80–85% to preserve a buffer for expedites and unexpected maintenance.
Calculating True Machine & Labor Capacity
To get real numbers, start with this formula: True Capacity = (Available Shift Hours − Planned Downtime) �- Efficiency Derating Factor.
For example: an 8-hour shift minus 1 hour for breaks and handover leaves 7 hours. Apply an 85% efficiency derating factor to account for tool breakages, searching for clamps, operator fatigue, and minor machine adjustments. Your true usable capacity is 5.95 hours per shift — not 8. Use our shop capacity calculator and headcount planning calculator to model this precisely across multiple work centers.
Worked Example: A 5-Machine Job Shop
Imagine a shop with five work centers: a Haas VF-2 VMC, a Mazak Quick Turn lathe, a Trumpf fiber laser, an Amada press brake, and a manual welding bay. Each runs a single 8-hour shift, 5 days a week.
- Theoretical weekly capacity per machine: 40 hours
- After breaks and handovers: 35 hours
- After 85% efficiency derating: ~29.75 hours of true demonstrated capacity
- At 80% max utilization target: ~24 schedulable hours per machine per week
If the backlog requires 28 hours on the press brake in a given week, the shop is already 4 hours over capacity — and that's before a single tool breaks or an expedite arrives. Recognising this on Monday morning, not Thursday afternoon, is the entire point of capacity planning.
Capacity Planning and OEE: The Link You Cannot Ignore
Overall Equipment Effectiveness (OEE) is the single most important metric for grounding capacity plans in reality. OEE combines three factors: Availability (is the machine running when it should be?), Performance (is it running at full speed?), and Quality (are the parts good?). World-class manufacturers target 85% OEE. Most small shops are running somewhere between 45% and 65% without even knowing it.
If your OEE is 60%, your realistic schedulable capacity is 60% of your available shift time — not 100%. Plugging that number into your capacity plan immediately reveals why the shop is always behind schedule. Use our OEE calculator to baseline your equipment before committing to customer delivery promises.
Bottleneck Identification & The Theory of Constraints
The Theory of Constraints (TOC) states that any manufacturing system's output is strictly determined by its slowest operation — the bottleneck. If your bottleneck is the press brake, speeding up the laser cutter only creates more WIP (Work In Progress) inventory sitting in front of the brake; it does not result in faster shipments. Identify your bottleneck by walking the floor and looking for the largest pile of staged parts waiting to be processed.
Once identified, schedule the entire shop around feeding that specific machine. Never let the bottleneck starve for material. Build a physical or digital buffer queue in front of it so that when the operator finishes one job, the next is already staged and the CAM program is verified. Every other machine in the shop should subordinate its pace to ensure the bottleneck runs continuously.
Demand Forecasting: When to Start Worrying About Next Month
Reactive capacity planning — only looking at the jobs currently on the floor — is the most common mistake in small shops. Proactive planning means checking the sales pipeline and open quotes every week. If your sales team has three large aerospace quotes outstanding that would collectively require 200 machine hours, you need to know that before they all land simultaneously.
A simple 4-week rolling capacity view is sufficient for most HMLV shops. Every Monday, populate a spreadsheet or digital scheduling board with: all committed work orders (actual load), all probable orders from the pipeline (weighted by close probability), and your available capacity per work center. Any week showing over 80% load at any machine centre is a red flag requiring action — whether that is negotiating a delivery date, authorising overtime, or subcontracting finishing operations.
Practical Step-by-Step Capacity Audit & Overtime Modelling
- Audit Current State: Log actual run times versus estimated times for a full week to find your true efficiency derating factor. Be honest — if jobs consistently take 20% longer than estimated, that is your real number.
- Map the Work Centers: Define distinct work centers (e.g., Lathes, VMCs, Press Brake, Welding, Assembly) and input their shift patterns and available hours into a planning board or spreadsheet.
- Load the Backlog: Assign all open work orders to their primary work center and sum the estimated hours. Compare this to your demonstrated effective capacity for each machine.
- Identify the Red Zones: Any work center exceeding 80% utilisation is a red zone. Any week exceeding 100% is a crisis requiring immediate action.
- Model Overtime: Authorise Saturday shifts specifically for the bottleneck work center. Grab our manufacturing capacity overtime template to calculate whether the premium pay cost is justified by the shipped revenue and customer retention value.
- Review Weekly: Capacity planning is not a monthly exercise. Every week, the production manager should spend 30 minutes updating the rolling capacity view before committing to new customer promises.
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