Multi-Vendor Receiving Dock Scheduler

Why Receiving Goes Sideways

A grocery store or distribution center can take twenty or more inbound trucks in a single morning — refrigerated grocery, frozen, dairy, produce, dry pallets from the warehouse, plus a dozen DSD vendors who arrive on their own schedule. Without a published schedule, trucks queue in the lot, perishables sit on the dock waiting for a freezer turn, and receivers spend the morning negotiating instead of receiving. The day’s loss is rarely a missed truck — it’s the cumulative cost of fifteen minutes of waiting per truck multiplied by every cold-chain product that warmed up. A schedule built the day before, even an approximate one, removes that loss.

Inputs the Scheduler Needs

Dock capacity (number of concurrent docks, hours of operation, and a daily cube limit if your backroom can only stage so much volume in a shift). Per vendor: truck cube, unload minutes, priority 1–5, a preferred window (when the vendor wants to arrive), an acceptable window (when they can be flexed to), and whether the load is perishable. Priority and the perishable flag both bias the scheduler toward placing the load early; the two windows let the scheduler resolve conflicts by sliding less-time-sensitive trucks into the acceptable window without anyone needing to renegotiate over the phone.

Conflict Resolution Logic

The algorithm is deterministic — same inputs produce the same schedule every time, which matters when you re-run it after a single edit and don’t want every block reshuffled. Requests are sorted by perishable-first, then priority descending, then window flexibility (narrower preferred windows go first because they have fewer escape options), then preferred-start ascending. Each request is placed on the earliest dock and time slot that fits its preferred window; if nothing fits, the scheduler retries in the acceptable window and flags the block with a fallback indicator on the timeline. Anything that still can’t fit appears in a separate “couldn’t schedule” list with a plain-English reason and a suggested fix.

Daily Cube vs Concurrent Trucks

Two different constraints get conflated. Concurrent trucks is a dock count — how many trailers can physically be at the building at once. Daily cube is a backroom-staging constraint — how much volume the receiving team can break down, label, and stage before the floor crew is ready for it. A store with two docks and a small backroom can be cube-constrained at noon even though both docks are empty. The scheduler tracks both: when scheduling a request would push the day past the daily cube limit, it’s flagged as unschedulable with that specific reason so you can call the vendor to split or reschedule before truck day.

Beyond a Spreadsheet

This tool runs in the browser against numbers you type. The next step — and the one that actually compresses receiving time across a fleet of stores — is a vendor self-service portal: vendors see open slots and pick their own, the schedule flows into your purchase-order system, and the receiver opens the morning to a finalized timeline tied to the POs being checked in. I build receiving and yard-coordination tools for grocery and distribution operations. See grocery and retail services. Companion tools: Pallet Pattern Generator for stacking the inbound pallets, Container Loading Planner for trailer cube planning, Bill of Lading Generator for the outbound paperwork, and Case Pack Calculator for inner-pack math behind the cube number.