Agent Overview

Marcus AI agent illustration

Marcus

Line Performance & TE Control

Marcus is the daily execution agent for Manufacturing. It turns shift activity into throughput truth: actual vs plan output, line run rates, TE losses, and downtime by reason code—organized by line, SKU, and shift so teams can recover performance fast. Marcus is built for the morning production meeting and the mid-shift check-in: what happened, why it happened, what’s at risk today, and what to do next. It standardizes the scorecard (so the plant isn’t debating the math), surfaces the top loss drivers (so teams stop chasing noise), and produces clear actions tied to the constraint: changeovers, minor stops, material starvation, quality holds, startup losses, or staffing gaps. Built to support judgment, not replace it: your team owns the calls, Marcus makes the losses visible, quantified, and operationally actionable.

Primary Outputs

Typical deliverables
Shift and daily line scorecards: actual vs plan, run rates, TE, and key losses by line and SKU
Downtime breakdown by reason: top drivers, repeat offenders, and “where the minutes went” summaries
Run-rate variance view: actual speed vs standard/target with time-at-speed and startup loss visibility
Early warning alerts: “if nothing changes, you miss plan by X” with the specific constraint called out
Top loss driver Pareto: the few issues actually moving TE (by asset, shift, SKU, and team)
Recovery actions: clear next steps by owner (ops, maintenance, quality, materials) with expected impact

Core Capabilities

What it does
Turns shift logs and production data into standardized TE performance views by line, SKU, and shift
Separates speed loss, downtime, changeovers, and quality/material holds so root causes stop getting blended
Detects chronic loss patterns: repeat downtime reasons, frequent micro-stops, and recurring startup instability
Flags plan risk early using remaining time, expected rates, and known constraints—no heroics required
Creates loss-driver Paretos that focus the plant on the few issues that move throughput, not “everything”
Generates recovery actions with owners and expected impact, aligned to how plants actually run daily management

Operational Fit

How it’s used
Used By

Plant managers, production supervisors, operations excellence/CI, and performance engineers.

Used For

Daily management, shift handoffs, constraint focus, TE recovery actions, and performance accountability.

Typical Questions
  • Where did we lose TE today—speed, downtime, changeovers, or holds?
  • Which line/SKU/shift is driving the miss, and what’s the reason code story?
  • If nothing changes, how far off plan will we be—and what’s the fastest recovery lever?