Industries
Logistics options with service risk in the score
A logistics network trades three things against one another: cost, speed and resilience. Improving one almost always costs another, and the decisions that set the balance, carriers, warehouse locations and inventory policy, are expensive to reverse.
The arithmetic of more warehouses
Adding a distribution center brings stock closer to customers and cuts outbound freight and delivery time. It also splits inventory. A rule of thumb known as the square root law, described by David Maister in 1976, holds that total safety stock rises roughly with the square root of the number of locations, so moving from one site to four roughly doubles it.
That is why network decisions should be priced whole: freight saved, rent and labor added, inventory carried and service gained. A model that counts only freight will always recommend more buildings, and one that counts only inventory will always recommend fewer.
Rates against reliability
A carrier's rate card is a promise about price at the volumes in the contract. What it leaves out is tender acceptance in a tight market, on-time performance in your lanes, and how the carrier treats a small shipper during peak season. Ask for lane-level history rather than a network average.
The common mistake is concentrating volume on the cheapest carrier to win a deeper discount. The discount is real, and so is the exposure when that carrier rejects loads in a busy week. A primary carrier with a funded backup usually costs a little more and fails far less dramatically.
A network change, argued
The Decision lists the options with their costs: add a second carrier, open a closer node, or stay put and hold more buffer stock. Each option has a Champion. The Challenger presses on service at realistic volume rather than at the volume quoted in the rate negotiation.
Gray Wolf prices concentration in a single carrier or a single port. Red Teamer runs the peak week in which the primary carrier accepts only half its tenders. Inspector marks a promised on-time figure as a claim until lane history supports it. The Verdict states the service level each option rests on and what would change it.
When a model should lead
Large network studies with hundreds of lanes belong in a dedicated optimization tool, run by people who know it well. The room is for the decision such a study informs: which scenario to commit to, what the model assumed, and what would make the team change course. The Human Decision, with its conditions, stays with the operations leaders who will run the network.
A second distribution center
A distributor ships nationally from one center and carries $2.0 million in safety stock. A second center in the east would cut outbound freight by an estimated $410,000 a year and bring two-day delivery to 70 percent of customers. Its rent and labor would cost $350,000 a year. Under the square root rule, safety stock rises to about $2.83 million, and carrying the extra $830,000 at 20 percent costs $166,000 a year. On cost alone the second center loses about $106,000 a year. The Verdict favors it only if faster delivery is worth more than that, and names the evidence that would show it: a measurable rise in eastern order rates after a two-day promise.
Questions
- How many carriers should a shipper use?
- Enough that losing one in a busy week does not stop shipments, and few enough that each still values your freight. For many shippers that means a primary and a funded backup on every important lane.
- Can the room replace a network optimization study?
- No. A study handles thousands of lanes and constraints. The room argues the decision at its end, checks the assumptions the study rested on and keeps the reasoning.
- What evidence settles a carrier choice?
- Lane-level on-time and tender acceptance history from periods like your own peak, plus references from shippers of a similar size. A network-wide average tells you far less.
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