Choosing a supplier starts with measurable production requirements rather than machine price. Define product dimensions, film structure, pack style, target packs per minute, acceptable reject rate, changeover frequency, operating hours, utilities, and line interfaces before requesting quotations. A line rated at 100 packs/min produces 48,000 theoretical packs in an 8-hour shift, but 90% availability reduces available running capacity to 43,200 before speed and quality losses are counted. OEE measures availability, performance, and quality together, so 90% availability, 95% performance, and 99% quality produce only about 84.6% OEE. Compare proven output, downtime, rejects, service response, spare-parts access, and lifetime operating cost—not catalog speed alone.
Start by giving every supplier the same application data. Include the smallest and largest product dimensions, weight range, required package dimensions, film width and thickness, sealing method, target speed, number of SKUs, shifts per day, ambient conditions, electrical supply, compressed-air supply, and upstream and downstream equipment. If the line must process 12 SKUs between 150 g and 2 kg, state all 12 rather than sending one representative sample. A supplier that tests only the easiest SKU has not shown that the proposed configuration covers the full production range.
That specification should lead directly into a product test. Send actual products and the intended packaging material when practical, then request continuous running rather than a short demonstration. Ten acceptable packs prove little about an 8-hour production shift. Ask the supplier to record stable packs per minute, rejects, stops, film-tracking corrections, seal failures, and operator interventions over a defined run. For a machine advertised at 80 packs/min, a 30-minute test represents up to 2,400 packaging cycles, giving a much more useful sample than a two-minute video.
Catalog speed describes what the machine can reach. Production data shows what the factory can use.
Once stable speed has been demonstrated, compare it with the machine’s losses. OEE separates production performance into availability, performance, and quality; 100% OEE would require uninterrupted production, ideal speed, and zero rejected output. A published OEE calculation example uses a 420-minute planned production period, 47 minutes of downtime, 19,271 total units, and 423 rejects. The resulting availability is 88.81%, performance 86.11%, quality 97.80%, and OEE 74.79%. Ask suppliers how their proposed machine would measure the same four figures.
Machine construction becomes easier to assess after performance requirements are fixed. Request the bill of major components and identify the PLC, HMI, servo system, variable-frequency drives, sensors, pneumatic valves, temperature controllers, safety devices, bearings, and electrical protection equipment. Ask whether equivalent components are stocked in North America or Europe and whether they can be purchased through normal industrial distributors. A $150 sensor available within 24 hours can be operationally preferable to a proprietary $80 sensor requiring a 3-week shipment.
Electrical and mechanical documentation should match that component list. Ask for electrical schematics, pneumatic diagrams, maintenance schedules, lubrication instructions, alarm lists, parts drawings, PLC/HMI backup procedures, and a recommended spare-parts list. PMMI’s 2025 State of the Industry report covers machinery as well as parts and services, reflecting how equipment support extends beyond the initial machine shipment. Documentation also matters years later, when the technician who commissioned the equipment may no longer work at either company.
| Item to verify | Useful purchasing requirement |
|---|---|
| Stable production rate | Packs/min with the buyer’s actual product |
| Test quantity | Hundreds or thousands of consecutive cycles |
| Reject rate | Recorded good packs ÷ total packs |
| Changeover | Minutes from last good Pack A to first good Pack B |
| Components | Manufacturer and model of major electrical parts |
| Spares | Price and normal lead time for wear and critical parts |
| Service | Remote-support hours and onsite response terms |
| FAT | Written pass/fail criteria before shipment |
Material compatibility should be checked at the same time because film behavior affects sealing, tracking, waste, and speed. Give the supplier the exact structure and gauge planned for production rather than saying only “plastic film.” PE, PP, BOPP, laminates, paper-based structures, and mono-material films can behave differently under tension and heat. If the factory plans a thinner film within the next 2 years, test that material before ordering when possible; a machine optimized around one current film may need different sealing jaws, temperature control, or tension settings later.
Material changes also expose the importance of changeover performance. Consider a plant making six products with three changeovers per 8-hour shift. A 30-minute changeover consumes 90 minutes, or 18.75% of the shift. Cutting each changeover to 12 minutes returns 54 minutes to scheduled production. OEE methodology counts setup and adjustment time as availability loss, which is why changeover should be measured rather than described as “quick.” Ask for a timed demonstration that includes film replacement, recipe selection, mechanical adjustments, trial packs, and the first accepted package.
The next check is line integration. A packaging machine may receive products from a multihead weigher, counter, feeder, conveyor, or robot and send finished packs to a checkweigher, metal detector, labeler, case packer, or palletizer. Specify every interface before engineering begins. For a 60 packs/min machine, one package exits every second; a downstream unit limited to 50 packs/min can leave 10 packs/min of upstream capacity unused unless accumulation or line-speed control has been designed into the system.
Integration requirements should also cover data. Ask what production counts, alarm histories, recipes, downtime records, and machine states can be exported, and which industrial communication protocols are supported. The OEE definition separates downtime, reduced speed, and rejected output because a machine running continuously at 50% of its designed rate is not operating at 100% effectiveness. Useful machine data should therefore show more than a simple “running/stopped” status.
After the engineering review, examine the supplier itself. A suitable automatic packaging machine supplier should be able to show machines under assembly, electrical work, test procedures, engineering drawings, quality records, and comparable applications. Request references for at least 2–3 installations with similar products, speeds, and package formats. Ask those users about actual output after 12 months, recurring faults, spare-part delivery, remote support, software changes, and whether the machine still operates close to its original acceptance conditions.
References should be followed by a formal Factory Acceptance Test. Put the FAT requirements into the purchase specification before manufacturing is completed. A useful FAT might require 60 packs/min for 60 continuous minutes, producing 3,600 cycles with an agreed package-quality threshold while testing alarms, guards, emergency stops, recipe changes, coding, reject functions, and interfaces. “Machine runs successfully” is not a measurable acceptance condition. Speed, duration, product, film, quality criteria, and permitted stops should all have numbers.
A 60-minute FAT cannot reproduce a full year of production, but 3,600 documented cycles reveal far more than a five-minute showroom demonstration.
FAT results then provide a basis for discussing service and spares. Ask who answers technical calls, what time zones are covered, whether remote PLC/HMI support is available, and how onsite service is priced. Separate consumables, normal wear parts, and production-stopping components. If a line produces 40 packs/min during two 8-hour shifts, one lost production day represents up to 38,400 theoretical packs. Keeping a $300 critical component onsite may therefore be reasonable even when its annual failure probability is low.
Service costs belong in the same calculation as purchase price. Compare a 5- or 10-year ownership period covering equipment price, freight, installation, training, labor, electricity, compressed air, film waste, preventive maintenance, spare parts, rejects, and downtime. A machine costing $20,000 less initially loses that advantage if it creates $500 more waste and maintenance per month; over 5 years, that difference reaches $30,000 before downtime is included.
Use the same method for film waste. A line consuming $400,000 of packaging material per year with 4% process waste loses $16,000 of material annually. Reducing waste to 2.5% lowers that amount to $10,000, a $6,000 annual difference. Over 8 years, the arithmetic reaches $48,000 before material-price increases are considered. Request waste measurements during product testing instead of assuming every machine consumes film at the same rate.
Price comparisons become useful only after scope has been normalized. One quotation may include automatic feeding, two forming sets, coding integration, FAT, installation, training, and a 2-year spare-parts package, while another may quote only the base machine. Build a line-by-line comparison covering speed, product range, tooling, controls, guarding, inspection equipment, conveyors, documentation, FAT, warranty, installation, training, spares, freight terms, and exclusions.
The final purchase specification should turn sales claims into measurable obligations. Record accepted products, dimensional ranges, film structures, stable production rates, test duration, package-quality requirements, changeover targets, component brands where required, electrical standards, documentation, FAT procedure, delivery date, training, warranty, and service scope. For a machine expected to operate for 8–15 years, those written requirements provide a much stronger purchasing basis than a lower quotation or a higher advertised packs-per-minute figure.