Injection Blow Molding Machine

حساب سعة ماكينة التشكيل بالحقن والنفخ: معادلة الإنتاج اليومي والسنوي

Introduction: Why Capacity Calculation Drives Your Buying Decision

Accurate injection blow molding machine capacity calculation is the single most important step before you invest in a production line for pharmaceutical, cosmetic, or food small bottles. The headline number a supplier quotes is meaningless until you understand the formula behind it: how the cycle time, the number of mold cavities, the hours you actually run each day, and your real equipment effectiveness combine into a daily and yearly bottle count. This article gives you the exact equations, walks through two fully worked examples on real Aibim machines, and shows you how to translate a target output into a concrete machine and mold specification.

Aibim, a Wanplas factory with more than 12 years of experience in injection blow molding and machines running in over 40 countries, builds the IBM55 Hybrid Electric, IBM65, and IBM75 series for containers from 3 ml to 1000 ml. Those three models cover the full range of small-bottle production, and every capacity figure in this guide is built around their real operating envelope. Whether you make 5 ml oral-dose vials, 30 ml cosmetic jars, or 500 ml pharmaceutical shampoo bottles, the same formulas apply, only the input values change.

By the end of this guide you will be able to calculate theoretical hourly output, adjust it with an OEE factor, project daily and yearly volume, size the right cavity count, and estimate energy use in kilowatt-hours per 1,000 bottles. You will also see where most capacity estimates go wrong, and how to avoid quoting a number your line can never reach. No currency figures are used; all cost framing is shown as relative tiers and all output is expressed in physical units such as bottles per hour or kilowatt-hours per 1,000 bottles.

Key Statistics: Injection blow molding reaches typical cycle times of 6 to 18 seconds depending on bottle size, supports 4 to 14 cavities per mold, and delivers theoretical hourly output from roughly 1,500 to 5,400 bottles on Aibim’s standard series. Realistic OEE of 0.75 to 0.85 usually trims the textbook maximum by 15 to 25 percent. Aibim PREFILL hydraulic technology targets at least 35 percent energy saving against conventional hydraulic units.

How an Injection Blow Molding Machine Produces Bottles

Injection blow molding is a one-step, three-station hollow molding process. Plastic raw material is first plasticized in the barrel by a reciprocating screw, then injected into a cavitated preform or parison mold at the injection station. The parison is a precisely shaped tube with the finished bottle neck already molded in. A rotating transfer system carries the hot parison to the blow station, where compressed air expands it against the cooled blow cavity to form the bottle. A final transfer moves the finished bottle to the ejection station, where it is stripped and the neck is held by a long-distance digital laser sensor for safe, flash-free removal.

Because the three stations operate in parallel rather than in sequence, one cycle of the machine completes one bottle per cavity, but the wall-clock time of a cycle is set by the slowest station. In practice the blow-and-cool station almost always governs the cycle, because the molten parison must cool enough to hold its shape before ejection. This parallel architecture is why an injection blow molding machine can deliver a finished, flash-free bottle with no post-molding trim operation, and why cycle time is so sensitive to bottle wall thickness and cooling efficiency.

The materials processed on Aibim machines include polyethylene (HDPE, LDPE, LLDPE), polypropylene, polystyrene, ABS, SAN, TPU, PC, and PCTG. Each has a different melt viscosity and cooling rate, which shifts the cycle time. Polypropylene and HDPE cool relatively quickly; polycarbonate and PCTG need longer cooling, so for the same bottle size the cycle will be longer and the achievable hourly output lower. When you calculate capacity, always anchor the cycle time to the actual material, not a generic average.

The three-station design also explains why injection blow molding is favored for pharmaceutical, cosmetic, and food small bottles: the bottle neck and thread are molded to tight tolerance at the injection stage, so there is no flash to trim and no contamination route from a secondary operation. That cleanliness is part of the value, but it does not change the math. Output still equals cycles per hour times cavities, adjusted for how well the line actually runs.

The Master Capacity Formula: Cycle Time Meets Cavities

Every injection blow molding output figure traces back to one master relationship. The theoretical hourly output is the number of cycles the machine can complete in one hour, multiplied by the number of good bottles produced per cycle.

Theoretical hourly output Q_theoretical = (3,600 / t_c) x N where: Q_theoretical = bottles per hour (theoretical, no losses) t_c = cycle time in seconds N = number of cavities in the mold 3,600 = seconds in one hour

This formula answers the question “how many bottles can the machine theoretically make in an hour if it never stops and every cavity always succeeds.” It is the ceiling, not the reality. To move from the ceiling to a number you can plan production around, you multiply by an effectiveness factor.

Effective hourly output Q_effective = Q_theoretical x OEE where OEE is the overall equipment effectiveness (a decimal from 0 to 1).

From the effective hourly rate, daily and yearly output follow directly from how many hours and days you run.

Daily and yearly output Daily output = Q_effective x H Yearly output = Daily output x D where: H = operating hours per day (for example 8, 16, 20, 22, or 24) D = operating days per year (for example 250, 300, or 330)

Put together, the complete chain is:

Full capacity chain Yearly output = (3,600 / t_c) x N x OEE x H x D

This single chain is the backbone of every estimate in the rest of the article. The skill of capacity planning is not the arithmetic, which is simple, but choosing realistic values for t_c, N, OEE, H, and D. The next sections show you how to set each one with worked numbers on real Aibim machines.

Anatomy of the IBM Cycle Time

The cycle time t_c is the wall-clock seconds for one full rotation of the three-station machine. Because stations run in parallel, t_c equals the longest single-station time, not the sum of all three. Understanding the breakdown lets you see where a cycle can be shortened and where it is physically fixed by cooling.

Station or phase What happens Typical time (seconds) Usually gating?
Injection station Plasticize and inject parison, then screw recovery 2.0 to 3.5 No (overlaps next)
Blow and cool station Air blow, wall cooling, shape set 4.5 to 11.0 Yes (slowest)
Ejection and transfer Stripping, laser safety check, index 1.2 to 2.0 No
Resulting machine cycle Set by the longest station 8 to 16 Reference

In this breakdown the blow-and-cool station dominates. For a 100 ml HDPE bottle the cooling might be 6 seconds; for a 500 ml PCTG bottle it can stretch past 10 seconds because more mass must solidify. Screw recovery at the injection station often overlaps the cooling at the blow station, which is exactly why the parallel layout keeps the cycle near the blow time instead of adding all phases together.

Two practical levers shorten t_c. First, optimize cooling with chilled mold temperature control and, where the material allows, a thinner controlled wall, because cooling time scales with wall thickness squared in simplified heat-transfer terms. Second, use a machine with strong, stable clamping and fast indexing so the transfer and ejection phases stay short. Aibim’s single-crossbeam double-pole clamping framework and enlarged mold space are built to keep those non-cooling phases minimal.

Worked Example 1: Daily Output of the Aibim IBM75

Let us calculate the daily output of an Aibim IBM75 producing a 100 ml HDPE pharmaceutical bottle on a 6-cavity mold, running two shifts plus a partial third shift for a total of 22 operating hours per day. We will build the number step by step so you can substitute your own values later.

Step 1, set the cycle time. For a 100 ml HDPE bottle the blow-and-cool station governs at about 12 seconds, with injection and ejection overlapping inside that window. So t_c = 12 s.

Step 2, apply the master formula for theoretical hourly output.

Q_theoretical = 3,600 / 12 x 6 = 300 x 6 = 1,800 bottles per hour

Step 3, apply OEE. Suppose the line runs with availability 0.92, performance 0.95, and quality 0.99. OEE = 0.92 x 0.95 x 0.99 = 0.865. That is a healthy, realistic figure for a well-run pharmaceutical line.

Q_effective = 1,800 x 0.865 = 1,557 bottles per hour

Step 4, multiply by operating hours.

Daily output = 1,557 x 22 = 34,254 bottles per day

So this configuration delivers about 34,250 finished 100 ml bottles every day. If you ran only a single 8-hour shift, the same machine would produce roughly 12,456 bottles per day, which shows how strongly the operating-hours input drives the result. The table below summarizes the sensitivity of daily output to the shift pattern, holding cycle, cavities, and OEE constant.

Operating hours per day (H) Shift pattern Daily output (bottles) Relative to 24 h
8 Single shift 12,456 0.33
16 Double shift 24,912 0.66
20 Double shift plus buffer 31,140 0.83
22 Near-continuous 34,254 0.91
24 Continuous 37,368 1.00

Notice that moving from 22 to 24 hours adds only about 9 percent output but removes the planned downtime window used for mold changes and preventive maintenance. Most producers choose 20 to 22 hours to keep that buffer, which is why the 22-hour figure is a sensible planning baseline rather than the maximum.

Worked Example 2: Yearly Output and Capacity Planning

Now extend the IBM75 example to a full year and compare it with a higher-cavity small-bottle scenario on the IBM55 Hybrid Electric. Yearly output answers the question a plant manager actually cares about: can this line meet annual demand.

Take the IBM75 at 34,254 bottles per day and run it 300 operating days per year (allowing for holidays, planned maintenance, and low-demand periods).

Yearly output (IBM75) = 34,254 x 300 = 10,276,200 bottles per year

That is about 10.3 million 100 ml bottles per year from one IBM75 with a 6-cavity mold. Now consider the IBM55 Hybrid Electric making 15 ml PP pharmaceutical vials on a 12-cavity mold at a fast 8-second cycle, running 24 hours with OEE 0.85.

Q_theoretical = 3,600 / 8 x 12 = 450 x 12 = 5,400 bottles per hour Q_effective = 5,400 x 0.85 = 4,590 bottles per hour Daily (24 h) = 4,590 x 24 = 110,160 bottles per day Yearly (330 days) = 110,160 x 330 = 36,352,800 bottles per year

The hybrid electric small-vial line therefore delivers roughly 36.4 million bottles per year, more than three times the IBM75 figure, driven by the higher cavity count and shorter cycle rather than by a bigger machine. This contrast is the central lesson of capacity planning: for small bottles, cavities and cycle time dominate, while for large bottles, cooling time and lower cavity counts cap the rate no matter how many machines you buy.

Scenario Model Cavities Cycle (s) OEE Yearly output
100 ml HDPE, 300 d, 22 h IBM75 6 12 0.865 10.28 million
15 ml PP, 330 d, 24 h IBM55 Hybrid 12 8 0.85 36.35 million
250 ml PP, 300 d, 20 h IBM65 8 11 0.82 19.07 million

When you plan capacity, build the yearly figure first from demand, then work backward to the model and cavity count. If annual demand is 20 million 250 ml bottles, the IBM65 row above already meets it; if demand is 40 million 15 ml vials, you would need roughly two IBM55 Hybrid lines or one line run at higher OEE and longer hours. Capacity planning is always a backward calculation from the demand target.

OEE: Availability, Performance, and Quality

Overall Equipment Effectiveness is the discipline that turns a textbook maximum into a number your finance and production teams can trust. OEE is the product of three independent ratios, each from 0 to 1.

OEE components OEE = Availability x Performance x Quality Availability = run time / planned production time Performance = (ideal cycle time x total count) / run time Quality = good count / total count

Availability captures unplanned stops and planned downtime such as mold changes. A line planned for 22 hours but actually running 20.2 hours due to a 1.8-hour mold change has availability of 20.2 / 22 = 0.918. Performance captures speed loss: if the machine should run at a 12-second cycle but averages 12.6 seconds because of minor slowdowns, performance is 12 / 12.6 = 0.952. Quality captures scrap: if 1 percent of bottles are rejected for short shots or visual defects, quality is 0.99.

Multiply them and OEE = 0.918 x 0.952 x 0.99 = 0.865, exactly the figure used in the IBM75 example. The table below shows how OEE tiers change effective output for a fixed theoretical 1,800 bottles per hour.

OEE tier Typical meaning Effective bottles per hour Loss vs theoretical
0.60 Poor, frequent stops 1,080 40%
0.75 Average, typical SME 1,350 25%
0.85 Good, well-run line 1,530 15%
0.90 Excellent, world class 1,620 10%

The gap between a 0.60 line and a 0.90 line is 50 percent more output from the identical machine. That is why Aibim emphasizes pre-shipment testing, remote monitoring of PLC data, and rapid spare-parts support: those services attack the availability and performance losses that quietly destroy quoted capacity. When a supplier quotes output, always ask which OEE assumption sits behind it.

Aibim IBM Machine Series and Real Specifications

Aibim’s three production models share the same three-station one-step architecture, PREFILL hydraulic technology, and CE-certified safety system, but they are sized for different bottle volumes and cavity counts. The specification tables below use the standard technical envelope of each series; exact values should be confirmed against the factory quotation for your specific mold and material. All three are built in Aibim’s own CNC center, which supports tight tolerances on clamping and transfer that protect cycle-time stability.

آلة القولبة بالنفخ بالحقن IBM55 الهجينة الكهربائية

The IBM55 Hybrid Electric combines a servo-hydraulic clamp with electric辅助 drives to reach fast cycles on small bottles while cutting energy draw. It is the right base for high-cavity vial and sample production.

Parameter IBM55 Hybrid Electric
Clamping force 55 tons (540 kN)
Screw diameter 35 mm
L/D ratio 20:1
Container volume range 3 ml to 100 ml
Max neck diameter 38 mm
Max cavities 14
Typical cycle time 6 to 9 seconds
Installed power 14.5 kW
Machine weight about 4.8 t

آلة القولبة بالنفخ بالحقن IBM65

The IBM65 is the mid-range workhorse for 50 to 350 ml cosmetic and pharmaceutical bottles, balancing cavity count and clamping space for the most common small-bottle formats.

Parameter IBM65
Clamping force 65 tons (640 kN)
Screw diameter 40 mm
L/D ratio 20:1
Container volume range 3 ml to 350 ml
Max neck diameter 45 mm
Max cavities 10
Typical cycle time 8 to 13 seconds
Installed power 21 kW
Machine weight about 6.5 t

آلة القولبة بالنفخ بالحقن IBM75

The IBM75 is the largest in the series, built for 350 to 1000 ml bottles where fewer cavities and longer cooling are unavoidable but the neck precision of injection blow molding is still required.

Parameter IBM75
Clamping force 75 tons (735 kN)
Screw diameter 45 mm
L/D ratio 20:1
Container volume range 3 ml to 1000 ml
Max neck diameter 55 mm
Max cavities 8
Typical cycle time 10 to 18 seconds
Installed power 28 kW
Machine weight about 8.5 t

The screw diameter and L/D ratio determine plasticizing capacity; for these small-bottle machines a 20:1 L/D with a 35 to 45 mm screw supplies more than enough melt for the parison without over-residence time that could degrade heat-sensitive resins. The clamping force scales with bottle area and blow pressure, and the figures above leave comfortable margin for stable molding at the stated cavity counts.

Cavity Count and Bottle Volume Selection

Cavity count is the strongest lever you control after choosing the model. More cavities multiply output directly, but each cavity adds cooling load and mold cost, and very large bottles physically cannot fit many cavities in the platen. The table below maps typical bottle volumes to a sensible cavity count and the resulting cycle on Aibim machines.

Bottle volume Recommended model Typical cavities Typical cycle (s) Theoretical per hour
3 to 15 ml IBM55 Hybrid 12 to 14 6 to 8 5,400 to 6,300
15 to 50 ml IBM55 Hybrid / IBM65 10 to 12 7 to 10 3,600 to 5,100
50 to 150 ml IBM65 8 to 10 9 to 12 2,400 to 3,000
150 to 350 ml IBM65 / IBM75 6 to 8 11 to 14 1,540 to 2,180
350 to 1000 ml IBM75 4 to 6 14 to 18 800 to 1,540

To pick cavities, start from your required effective hourly output, divide by your expected OEE and by 3,600 divided by the cycle, then round to the nearest practical cavity count the model supports. For example, if you need 3,000 good 80 ml bottles per hour at OEE 0.85, you need theoretical 3,529 per hour; at a 10-second cycle that is 9.8 cavities, so choose a 10-cavity mold on the IBM65. The calculation is reversible, which is exactly why it is so useful during quotation.

Energy Consumption: Kilowatt-Hours per 1,000 Bottles

Energy is a capacity-linked cost that buyers increasingly weigh alongside throughput. Express it as kilowatt-hours per 1,000 bottles so it scales cleanly with output and is independent of currency.

Energy intensity kWh per 1,000 bottles = (P_running / Q_effective) x 1,000 where P_running is the actual running power draw in kW.

For the IBM75 at 1,557 effective bottles per hour and an actual draw of about 17 kW (roughly 60 percent of the 28 kW installed rating under normal load with PREFILL technology), the figure is:

kWh per 1,000 = (17 / 1,557) x 1,000 = 10.9 kWh per 1,000 bottles

For the IBM55 Hybrid at 4,590 effective bottles per hour and a draw of about 9 kW (well below the 14.5 kW installed rating thanks to the hybrid electric design):

kWh per 1,000 = (9 / 4,590) x 1,000 = 1.96 kWh per 1,000 bottles

The hybrid electric small-bottle line is dramatically more energy-efficient per bottle because it makes far more bottles per kilowatt-hour. The table below compares the three models on a per-1,000-bottles basis at representative loads.

Model Effective bottles per hour Approx. running power (kW) kWh per 1,000 bottles Energy tier
IBM55 Hybrid 4,590 9 1.96 Low
IBM65 2,600 13 5.00 Medium
IBM75 1,557 17 10.9 Medium

Aibim’s PREFILL technology and variable displacement pump pressurizing in the hydraulic system are the reason these running powers sit well below the installed ratings, targeting at least 35 percent energy saving against conventional hydraulic units. When you compare machines, always ask for the running power at your cycle and cavity count, not the nameplate installed power, because the gap between the two is where the real saving lives.

جدول توصيات الاختيار

The table below converts common production requirements directly into a recommended Aibim model and cavity starting point. Use it as a first filter, then run the full formula with your own cycle and OEE to confirm the daily and yearly figure.

Requirement Recommended model Cavities Target daily output
5 to 15 ml pharma vials, high volume IBM55 Hybrid Electric 12 to 14 90,000 to 110,000
20 to 50 ml cosmetic jars IBM55 Hybrid / IBM65 10 to 12 55,000 to 85,000
50 to 150 ml food and pharma IBM65 8 to 10 40,000 to 55,000
150 to 350 ml shampoo or lotion IBM65 / IBM75 6 to 8 28,000 to 40,000
350 to 1000 ml wide-mouth bottles IBM75 4 to 6 14,000 to 30,000

If your target daily output sits between two rows, choose the larger model for headroom, because running a smaller machine at its absolute maximum cycle leaves no buffer for OEE losses. Aibim engineers can confirm the exact mold cavity layout and verify the cycle on your material during pre-shipment testing.

Common Mistakes in Capacity Estimation

Most disappointing capacity results come from a handful of repeated errors. The table below lists them with the correction, so you can sanity-check any quote you receive.

Mistake Why it hurts Correction
Quoting theoretical max only Ignores stops and scrap, overstates by 15 to 40 percent Always multiply by a realistic OEE of 0.75 to 0.85
Using 24 h every day Leaves no maintenance or changeover window Plan 20 to 22 h per day, 300 to 330 days per year
Generic cycle time Cooling differs by material and wall Anchor t_c to your material and bottle on a trial
Counting cavities not feasible Platen or clamping cannot fit the count Match cavities to model clamping and mold space
Confusing installed and running power Overstates energy cost per bottle Use measured running power in kWh per 1,000 bottles

None of these errors changes the formula; they only corrupt the inputs. Discipline on inputs is what separates a reliable quote from a hopeful one.

الصناعات التطبيقية لآلات Aibim IBM

Aibim machines are built for small, high-precision, flash-free bottles where neck accuracy and cleanliness matter more than maximum volume. The real application fields from the factory profile are pharmaceuticals, food, drink, and cosmetics, and each maps to specific end products.

In pharmaceuticals, the bottles are oral-dose vials, eye-drop bottles, nasal spray actuators, and small dropper containers, typically 3 to 100 ml in HDPE, PP, or cyclic olefin and COP-like materials where the molded neck guarantees a leak-tight closure. In food and drink, the products are single-serve sauce cups, honey and syrup bottles, flavored-milk shot bottles, and condiment containers where the one-step process avoids post-mold trimming that could introduce foreign particles. In cosmetics, the dominant formats are 15 to 100 ml cream jars, serum bottles, and sample vials in PP, PS, SAN, and PCTG where surface finish and thread quality drive shelf appeal.

Because the three-station process holds the neck to injection-molded tolerance, these bottles meet the hygiene expectations of pharmaceutical and food lines without secondary operations. For regulated markets, the materials and machine surfaces should be specified to relevant standards such as FDA food-contact and ISO 10993 biocompatibility where applicable, and the machine carries CE certification with a light curtain and laser safety sensor at the stripper station.

Installation, Commissioning, and Maintenance

Capacity is only realized if the machine is installed and maintained so it actually runs at the assumed OEE. Aibim supports installation and commissioning by engineers who set the machine on the prepared foundation, connect utilities, level the frame, and run the first production cells on the customer mold and material. Commissioning includes verifying the actual cycle time, recording the first stable hourly output, and documenting the baseline OEE so later losses are visible.

Routine maintenance that protects capacity includes screw and barrel wear inspection on the plasticizing unit, hydraulic oil analysis on the clamping system, mold cooling-channel descaling to keep cycle time short, and calibration of the blow air and stripper laser sensor. Because Aibim runs its own CNC center for machine parts, wear items and spare molds can be reproduced to original tolerance, which shortens any downtime. The SD card parameter storage lets a proven recipe be copied across machines, reducing changeover time that would otherwise erode availability.

الخدمة والدعم

Aibim, as a Wanplas factory, extends the group’s shared service promises to every IBM line. The Wanplas brand commits to USD 500 free parts every year for the covered line, free replacement of damaged parts within the warranty, and an open-factory policy that welcomes customer visits for inspection and audit before and after purchase. Wanplas, with its network of specialized factories, backs these promises with a track record of 100+ lines per year from Aibim alone and machines running in 40+ countries.

Support also covers pre-shipment testing on the customer’s mold and material so the quoted daily and yearly output reflects measured performance, on-site installation and commissioning, operator training on setup and maintenance, and remote operation and maintenance through PLC data monitoring that lets engineers check running status and respond to abnormal feedback. These services directly defend the availability and performance components of OEE, which as shown earlier can mean the difference between 1,080 and 1,620 effective bottles per hour on the same machine.

الأسئلة الشائعة

What is the basic formula for injection blow molding machine output?

The theoretical hourly output equals 3,600 divided by the cycle time in seconds, multiplied by the number of cavities. In symbols: Q_theoretical = 3,600 / t_c x N. Multiply by an overall effectiveness factor (OEE) and the operating hours per day to get the daily figure, then by operating days per year for the yearly figure.

How do I estimate the cycle time of a three-station IBM machine?

A three-station one-step IBM machine runs injection, blow, and ejection in parallel, so the cycle is gated by the longest station, almost always the blow-and-cool station. Add the parison injection time, the blow-and-cool time, and the transfer or ejection time; the station that takes the longest sets the machine cycle. Larger bottles need longer cooling and therefore a longer cycle.

Why does OEE matter more than the theoretical maximum output?

Theoretical output assumes the machine never stops and every cavity always produces a good bottle. Real lines lose time to mold changes, material changeovers, minor faults, speed loss, and scrap. OEE multiplies availability, performance, and quality, and a realistic OEE of 0.75 to 0.85 typically cuts the theoretical number by 15 to 25 percent. Capacity planning should always use the OEE-adjusted figure.

How many cavities should I choose for a given bottle volume?

Cavity count trades against bottle size and cooling demand. Small volumes such as 3 to 30 ml pharmaceutical vials support 10 to 14 cavities, mid volumes such as 50 to 250 ml support 6 to 10 cavities, and large volumes up to 1000 ml support 4 to 8 cavities. The right number keeps the cycle short while staying within the clamping force and mold space of the chosen model.

How is energy consumption calculated for an IBM line?

Measure the actual running power in kilowatts during stable production, then divide by the effective hourly output and multiply by 1,000 to get kilowatt-hours per 1,000 bottles. Aibim machines with PREFILL hydraulic technology and variable displacement pumps are engineered to save at least 35 percent energy against conventional hydraulic units, which directly lowers this figure.

Which Aibim model fits a medium daily output target?

For a target around 30,000 to 45,000 bottles per day of 50 to 250 ml containers, the IBM65 is a balanced choice with up to 10 cavities and an 8 to 13 second cycle. For smaller high-volume vials the IBM55 Hybrid Electric reaches higher cavity counts, while the IBM75 covers larger 350 to 1000 ml bottles at lower cavity counts.

Should I plan capacity around 24 hour operation or fewer?

It depends on labor, utility cost, and demand stability. A single 8 hour shift gives roughly one third of a 24 hour plan, while a two-shift 22 hour plan captures most of the benefit with time reserved for mold changes and maintenance. Many pharmaceutical and cosmetic producers run 20 to 22 hours per day to balance output with planned downtime.

How accurate are these calculations before I buy a machine?

The formulas are exact; the uncertainty sits in the input values. Cycle time, cavity count, and OEE should be confirmed by a real trial run on the actual mold and material. Aibim offers pre-shipment testing on the customer mold and material so the quoted daily and yearly output reflects measured performance rather than a textbook estimate.

الخلاصة

Injection blow molding machine capacity calculation comes down to one dependable chain: yearly output equals 3,600 divided by cycle time, times cavities, times OEE, times operating hours per day, times operating days per year. The arithmetic is simple; the discipline is in the inputs. Anchor the cycle time to your real material and bottle, choose cavities the model can actually hold, apply a realistic OEE of 0.75 to 0.85, and plan 20 to 22 operating hours per day rather than a perfect 24. Do that and your quoted output will match what the line delivers.

Aibim’s IBM55 Hybrid Electric, IBM65, and IBM75 cover the full 3 ml to 1000 ml small-bottle range with the three-station one-step process, PREFILL hydraulic technology, and CE-certified safety that keep cycle times short and energy per 1,000 bottles low. If you are scoping a new line, send your bottle drawing, target daily or yearly volume, and material to the Aibim team for a tailored capacity calculation and a verified quotation, and schedule a factory audit or a trial run on your mold to confirm the numbers before you commit. The Wanplas group’s shared promises, including USD 500 free parts every year and an open-factory policy, support the line long after startup.

When you compare competing quotations, insist that every supplier states the cycle time, cavity count, assumed OEE, operating hours, and running power behind the headline number, because only then can two offers be compared on equal terms. A machine quoted at a higher theoretical rate but with a longer real cycle and weaker support may deliver fewer bottles per year than a modestly spec’d line that actually runs. Treat the formula in this article as your evaluation checklist, and let measured performance, not marketing language, decide the purchase.