Agent Overview

Victor AI agent illustration

Victor

Finite Scheduling & Line Loading

Victor is the “make the plan feasible” agent for Manufacturing. It builds plant schedules that respect real constraints: line capacity, run-rate standards, campaign rules, allergen and sanitation sequencing, labor coverage, material availability, and changeover time. Victor is built for the weekly plan, the daily schedule, and the inevitable recovery conversation when reality hits. It shows what fits, what doesn’t, and exactly why—then generates options: shift work to a different line, resequence to reduce changeovers, swap SKUs inside a campaign, or adjust targets with a clean explanation of trade-offs. Built to support judgment, not replace it: your team sets priorities, Victor produces a defensible, constraint-aware schedule and a clear playbook for recovery.

Primary Outputs

Typical deliverables
Constraint-aware production schedules: daily/weekly line loading by SKU with feasible start/finish windows
Changeover and sequencing plans: optimized order to reduce lost time while honoring allergens and sanitation rules
Feasibility diagnostics: what doesn’t fit, which constraint breaks first, and the exact impact on service and TE
Recovery scenarios: “if we lose X hours” or “if a line goes down,” with ranked options and trade-offs
Labor coverage check: highlights schedule risk caused by skill gaps, staffing shortfalls, or shift coverage constraints
Material readiness flags: identifies schedule risk from missing components, late receipts, or staging bottlenecks

Core Capabilities

What it does
Builds finite schedules using run-rate standards, available hours, and constraints—no “infinite capacity” plans
Optimizes sequencing to reduce changeover loss while respecting allergens, sanitation, and campaign rules
Identifies the binding constraint: line time, changeovers, labor skills, material readiness, or shared resources
Creates recovery options when reality hits: resequence, swap, split lots, move to alternate line, or re-time campaigns
Explains trade-offs clearly: service risk, TE impact, incremental changeover time, and labor/material implications
Standardizes scheduling assumptions so plants stop debating rules and start executing

Operational Fit

How it’s used
Used By

Schedulers, plant managers, production planners, operations leaders, and supply planning teams.

Used For

Finite scheduling, line loading, changeover reduction, constraint management, and recovery planning.

Typical Questions
  • Does this plan actually fit available hours once changeovers and constraints are real?
  • What’s the best sequence to reduce changeover and sanitation time without violating rules?
  • If we lose a shift or a line, what’s the fastest recovery path—and what do we sacrifice?