Using Lean Six Sigma to prioritize projects, optimize capex, and inform employee recognition.

Lean Six Sigma is a powerful tool for production teams committed to continuous improvement. Viewed as individual activities, however, the overall impact of the improvements it drives may not be obvious. The Continuous Improvement teams in SigmaTron International’s Tijuana, Mexico, facility address this with an annual review meeting that looks both at accomplishments over the past year and year-over-year trends. The top three teams are recognized for their accomplishments.

Respinning a board to eliminate PTH parts can pay off in production.

When an electronics manufacturing services (EMS) provider is involved in developing a new product, it is easy to provide design for excellence (DfX) recommendations that align with Lean manufacturing philosophy.

Addressing manufacturability or testability issues associated with legacy products is much more challenging, however. The reasons printed circuit board layout or product design choices may not be optimal are many. Design cycles have been compressed and design resources have been cut at many OEMs. When layout or product development is outsourced to a third-party design team without manufacturing familiarity, the result may be a PCB assembly (PCBA) that meets form, fit, function and cost recommendations, but ignores industry standard design rules, sole sources much of the bill of materials (BoM) or requires unnecessary processing.

SigmaTron’s new product introduction (NPI) process evaluates these issues as new projects are onboarded through a combination of an engineering team review and automated checks through a third-party design tool. When improvement opportunities are identified, the team can provide redesign or PCB layout services to correct the issues.

Do multiple single-spray-nozzle conformal coaters outperform a three-nozzle machine for volume builds?

Electronics manufacturing services (EMS) providers often have to evaluate equipment selection tradeoffs on more stringent standards than original equipment manufacturers due to their needs for flexible capacity across multiple clients.

How does AI contribute to continuous improvement?

Depending on whom you talk to, artificial intelligence (AI) is likely to open amazing possibilities or lead to the end of humanity as we know it. The reality is that when appropriately used, AI eliminates a lot of repetitive tasks that have high levels of variation and cost when done manually. In the quality realm, this opens the door to a discussion about whether a truly automated inspection process is a non-value-added or necessary non-value-added activity.

Manual inspection is costly, and accuracy can vary widely among operators, the time of day the activity is performed, or even the day of the week the activity is performed. Quality philosophy has long held that it is better to prevent defect opportunities (quality assurance) than to try to inspect them out (quality control). If a printed circuit board assembly (PCBA) can be 100% visually inspected by machines during SMT and secondary assembly processes without significant throughput time, however, does it make sense to do so? Let’s look at the pros and cons: