Logistics — Lean Six Sigma articles
In-depth Lean Six Sigma articles for distribution, transportation, and last-mile leaders — warehouse pick-pack productivity, OTIF and freight cost, and first-attempt delivery success.
5 articles
Lifting Warehouse Pick-Pack Productivity with Lean Six Sigma: A Master Black Belt's Distribution Center Playbook
Most DCs are running 110–140 lines per labor hour and treating it as the ceiling. It isn't. Pick-rate gains of 25 to 40 percent are routine when you stop optimizing the pick path and start eliminating the queue and travel time around it. Here's the playbook.
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Lifting Transportation On-Time Delivery with Lean Six Sigma: A Master Black Belt's Carrier Operations Playbook
Every percentage point of OTIF you lose costs more than the freight invoice — it costs the chargeback, the customer trust, and the next contract. Here's the Lean Six Sigma playbook that fixes transportation operations from the dock out, with the numbers a CFO and a head of supply chain will both sign off on.
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Lifting Last-Mile First-Attempt Success with Lean Six Sigma: A Master Black Belt's Final-Mile Playbook
First-attempt delivery success is the single highest-leverage metric in last-mile operations. Every miss costs the redelivery, the customer call, the support ticket, and often the return. Here's the Lean Six Sigma playbook that lifts FADS from 88% to 96% — without adding routes, drivers, or vehicles.
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Lifting SaaS Deployment Frequency and Cutting Change Failure Rate with Lean Six Sigma: A Master Black Belt's DORA Playbook
Most engineering orgs deploy weekly with a 22% change failure rate and call it 'agile.' Elite teams deploy on demand at 5%. The gap isn't talent — it's the queue, the handoffs, and the unstructured incident loop. Here's the DMAIC playbook engineering leaders use to close it.
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Compressing Software Feature Lead Time with Lean Six Sigma: A Master Black Belt's Product Delivery Playbook
Most SaaS teams ship features in 14 weeks median against a 6-week estimate. The lever isn't a new agile framework — it's the upstream queue, the WIP, and the unbounded discovery loop. Here's the playbook product and engineering leaders use to compress it.
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