Lean vs Six Sigma: Which Method is Better for Manufacturers?

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Imagine being able to cut waste in your manufacturing process by half. That’s what methods like Lean and Six Sigma can do. These two strategies have made significant changes in the manufacturing industry, offering different ways to make things more efficient and improve product quality. Keep reading this article to find out which way – Lean vs Six Sigma – could be just what your manufacturing business needs.

Lean Explained

Lean manufacturing, a concept with roots in the visionary practices of entities like Toyota or even earlier, Henry Ford, is fundamentally about the relentless pursuit of efficiency. This approach aims to reduce costs and eliminate waste in all forms, striving for optimal operational effectiveness. The core principle revolves around identifying and eradicating what Toyota coined as the “seven deadly wastes,” though we believe an eighth should be included:

  1. Overproduction: Excessive production results in surplus, unused products.
  2. Waiting: This involves idle time between production steps, supply delays, or equipment downtime.
  3. Transporting: Unnecessary movement of inventory risks damage and inefficiency within the manufacturing process.
  4. Processing: Are there redundant steps in your manufacturing procedure? Could multiple stages be consolidated into one?
  5. Inventory: Holding too much stock can be wasteful. Despite supply chain challenges during the pandemic, we argue against overstocking.
  6. Excess Motion: This refers to inefficient movements within the workspace – unnecessary walking, lifting, or reaching. Can your layout be optimized?
  7. Defects: Even the best operations experience product defects occasionally.
  8. People: This is our proposed eighth waste that Toyota didn’t acknowledge. Are your employees’ skills being fully utilized? Could there be overlooked potential for leadership roles?

Six Sigma Explained

At its core, Six Sigma is a methodology focused on quality assurance and the reduction of errors. Yet, it’s much more comprehensive than that. Six Sigma is rooted in data analytics, statistical evaluation, and aims to enhance efficiency while minimizing or eradicating manufacturing defects. It involves leveraging statistical analysis, data interpretation, and project management methodologies to optimize the entire process.

The methodology of Six Sigma is encapsulated in the acronym DMAIC: Define, Measure, Analyze, Improve, and Control. Initially, you discern the issue that needs enhancement. Following that, the team quantifies the process and scrutinizes it using data analytics to identify the root cause of the issue. Subsequently, it revolves around devising enhancements and solutions, and implementing controls to prevent recurrence.

To effectively implement Six Sigma, intensive training is necessary, demanding enough that practitioners must attain certification in the methodology. The certification levels are denoted by a belt system analogous to martial arts, starting with white belts who are acquainted with the fundamental process, up to black belts who are experts in the methodology and are qualified to tackle intricate problems and projects, as well as coach others in it.

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Lean vs Six Sigma: Which One is Better?

When it comes to manufacturing, these two methodologies–Lean vs Six Sigma–consistently stand out for their efficiency-enhancing and waste-minimizing approaches. Each has its distinct advantages and applications, making it challenging to unequivocally declare one as superior.

Lean Manufacturing, rooted in the Toyota Production System, emphasizes the elimination of waste and the optimization of processes. Its primary objective is to maximize value with minimal effort by targeting excessive movement of materials or personnel, overproduction, idle time, and defective products, among others.

Conversely, Six Sigma, a brainchild of Motorola, is a data-centric approach aimed at defect elimination and variation reduction in any process. At its core is DMAIC (Define, Measure, Analyze, Improve, Control), a systematic method for identifying root causes of problems and implementing effective solutions.

The choice between Lean vs Six Sigma largely hinges on your manufacturing business’s unique needs and challenges. If your main aim is to eradicate waste and enhance flow, Lean could be the optimal choice. Conversely, if your goal is to decrease defects and bolster quality, Six Sigma might be more fitting.

Why Not Lean AND Six Sigma Together?

While both Lean and Six Sigma are great on their own, a lot of manufacturing businesses have found that bringing these two methods together can lead to even bigger improvements. This mixing of approaches is often called Lean Six Sigma.

Lean Six Sigma combines the waste-cutting and process-smoothing ideas of Lean with Six Sigma’s goal of reducing mistakes and making quality better. The result is a robust method that can handle a wide range of manufacturing problems and push for significant improvements in how things run.

By using both, manufacturers can make the most of what each method offers. They can cut out waste and make processes flow better while at the same time reducing mistakes and improving quality. This dual approach provides a more comprehensive way to boost manufacturing efficiency and effectiveness.

Lean vs Six Sigma: Which One Should You Choose Now?

At the end of the day, the right choice depends on your specific situation. If your plant feels chaotic with too much wasted time and movement, Lean may help streamline things. If quality issues are your primary concern because of too many defects, Six Sigma could help get to the root of the problems. Maybe you need a bit of both! 

Ultimately, take a close look at your current struggles, goals, and resources to decide if Lean, Six Sigma, or a combination makes the most sense for where you are now and where you aim to be. The key is picking the approach that will help you tackle your biggest opportunities for improvement so you can boost efficiency, reduce costs, and better meet customer demands.

What You Should Do Next

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