The 7 Wastes of Lean Manufacturing (2026 Examples)

What are the 7 Wastes (Muda) in Lean Manufacturing? #

The Toyota Production System (TPS) revolutionized industry by classifying anything that does not add value to the customer as "Waste" or Muda. Today, the quest to eliminate these 7 wastes of lean manufacturing is the core of any successful operational strategy. However, in 2026, it is no longer enough to observe them visually or write them on whiteboards; we need Edge IoT technology and Artificial Intelligence to detect and suppress them in real time.

The Classic 7 Wastes and Examples of Digital Resolution

1. Overproduction: Producing more parts than required "just in case" or before the customer orders them.
2. Waiting: Operators waiting for materials, machines waiting for maintenance, or lines stopped due to a lack of supplies.
3. Transport: Unnecessary movement of materials between warehouses that does not add value to the product.
4. Overprocessing: Performing processes beyond the quality standard required by the customer or using high-precision machinery for rough cuts.
5. Inventory: Accumulating excess raw material or finished goods, which hides cash flow problems and takes up physical space.
6. Motion: Inefficient movements of workers searching for tools or spare parts.
7. Defects (Quality Wastes): Manufacturing products that do not meet specifications and must be reprocessed or thrown away.
   2026 Example: iGromi Artificial Vision algorithms scan 100% of production on the conveyor belt, instantly ejecting the defective product and identifying the matrix machine failure.

The 8th Waste: Unutilized Talent #

With the rise of Industry 4.0, an eighth waste was added: underutilized human talent. Keeping an industrial engineer filling out Excel spreadsheets to calculate OEE is one of the greatest modern wastes. That talent should be focused on strategic analysis, while iGromi's IoT telemetry does the heavy lifting of data collection.

How to automate Lean Philosophy in your Plant #

Detecting the 7 lean wastes with the naked eye is increasingly difficult in high-speed manufacturing lines. The solution is to create a Digital Twin of your plant.