Reducing Batch Size
B1: The Batch Size Queueing Principle: Reducing batch size reduces cycle time.
B2: The Batch Size Variability Principle: Reducing batch sizes reduces variability in flow.
B3: The Batch Size Feedback Principle: Reducing batch sizes accelerates feedback.
B4: The Batch Size Risk Principle: Reducing batch size reduces risk.
B5: The Batch Size Overhead Principle: Reducing batch size reduces overhead.
B6: The Batch Size Efficiency Principle: Large batches reduce efficiency.
B7: The Psychology Principle of Batch Size: Large batches inherently lower motivation and urgency.
B8: The Batch Size Slippage Principle: Large batches cause exponential cost and schedule growth.
B9: The Batch Size Death Spiral Principle: Large batches lead to even larger batches.
B10: The Least Common Denominator Principle of Batch Size: The entire batch is limited by its worst element.
B11: The Principle of Batch Size Economics: Economic batch size is a U-curve optimization.
B12: The Principle of Low Transaction Cost: Reducing transaction cost per batch lowers overall costs.
B13: The Principle of Batch Size Diseconomies: Batch size reduction saves much more than you think.
B14: The Batch Size Packing Principle: Small batches allow finer tuning of capacity utilization.
B15: The Fluidity Principle: Loose coupling between product subsystems enables small batches.
B16: The Principle of Transport Batches: The most important batch is the transport batch.
B17: The Proximity Principle: Proximity enables small batch sizes.
Proximity reduces the cost of transporting or communicating in small batches, making processes faster and more efficient. In manufacturing, close distances enable one-piece flow and greater flexibility, while in product development, colocated teams benefit from real-time, face-to-face communication. This eliminates delays inherent to asynchronous communication, unlocking the full advantages of small batch sizes and enhancing responsiveness to emerging needs.