Routing and Process Plan
The ordered sequence of manufacturing operations required to transform raw materials into a finished product — specifying each operation's work center, setup time, cycle time, tooling requirements, and labor skill requirements.
Why This Object Matters for AI
AI cannot sequence operations, balance workloads across work centers, or assign appropriately skilled labor without a structured routing; without it, scheduling is guesswork and digital twin simulations have no process logic to model.
Production Operations Capacity Profile
Typical CMC levels for production operations in Manufacturing organizations.
CMC Dimension Scenarios
What each CMC level looks like specifically for Routing and Process Plan. Baseline level is highlighted.
Routings live in the heads of setup technicians and experienced operators. When someone asks 'what's the process for Part 7842?', the answer is 'ask Maria, she's the only one who can run it.' When Maria is out sick, the part doesn't get made or gets made wrong.
AI cannot sequence operations, estimate capacity, or simulate production because no documented process exists.
Create any written record of manufacturing operations — even a handwritten sequence showing the order of steps for key products.
Routings exist as paper travelers or simple spreadsheets listing operation sequence. 'Op 10 - Cut, Op 20 - Drill, Op 30 - Finish.' But time standards are rough estimates. Work center assignments vary by who's available. The routing tells you what operations, not how long they take or where they run.
AI can identify required operations for a product, but cannot estimate lead times, balance workloads, or optimize scheduling because time and resource data are missing or unreliable.
Add time standards and work center assignments — setup time, run time per piece, and default work center for each operation.
Routings include operations with time standards: setup hours, run hours per unit, queue time, and move time. Each operation specifies a work center. Schedulers can calculate total lead time and capacity load. But routings are static documents — they don't link to actual equipment or production history.
AI can perform basic scheduling and capacity planning using standard times. Cannot account for actual machine performance, learning curves, or recent yield history.
Link routings to equipment capabilities and production history in ERP or MES, enabling comparison of standards to actuals.
Routings are structured records linking to work centers, equipment, tooling, and labor skill requirements. Each operation references the specific machines capable of performing it. The system can answer 'which machines can run Op 20 for Part 7842?' and 'what's the actual vs. standard time for this operation?'
AI can perform detailed scheduling considering equipment capabilities, alternate routings, and historical performance. Optimization based on actual vs. standard times is possible.
Add formal entity relationships — routings as graph nodes connected to process parameters, quality requirements, and constraint rules.
Routings are schema-driven with explicit relationships to equipment capabilities, process parameters, quality specifications, and constraint rules. Each operation knows its parameter settings, inspection requirements, and predecessor dependencies. An AI agent can ask 'what parameters should be set for Op 20 on Machine 3, and what quality checks are required?' and get complete answers.
AI can generate optimized production sequences considering all constraints. Autonomous scheduling and setup instruction generation are possible for routine products.
Implement self-adjusting routings — time standards that update automatically based on actual production performance.
Routings are living documents that adapt from real-time production data. Time standards adjust based on actual performance. When a new machine outperforms the standard, the routing updates. When operators discover a better sequence, the system captures it. The routing reflects current best practice, not historical assumptions.
Fully autonomous process planning. AI can optimize, adapt, and maintain routings in real-time without human intervention for routine products.
Ceiling of the CMC framework for this dimension.
Capabilities That Depend on Routing and Process Plan
Other Objects in Production Operations
Related business objects in the same function area.
Production Order
EntityThe transactional record that authorizes and tracks the manufacture of a specific quantity of a specific product — containing the item to build, quantity ordered, due date, BOM revision, routing, priority, and real-time status (released, in-progress, complete, closed).
Bill of Materials (BOM)
EntityThe hierarchical definition of every component, sub-assembly, raw material, and quantity required to produce one unit of a finished product — including revision history, effectivity dates, and alternate/substitute material rules.
Equipment Asset Record
EntityThe master record for each piece of production equipment — identity, location, rated capacity, operating specifications, maintenance history, current condition, calibration status, and OEE (Overall Equipment Effectiveness) metrics.
Production Schedule
EntityThe time-phased plan that assigns production orders to specific resources (machines, lines, cells) across specific time slots — incorporating changeover sequences, priority rules, constraint windows, and frozen/slushy/liquid planning horizons.
Sensor Network Configuration
EntityThe managed infrastructure of sensors, data collection points, and signal routing that instruments production equipment — defining which sensors monitor which assets, sampling rates, alarm thresholds, signal conditioning rules, and the mapping between physical measurement points and logical asset identifiers.
Downtime Event Record
EntityThe structured log of every production stoppage — start time, end time, affected equipment, reason code (planned maintenance, breakdown, changeover, material shortage, quality hold), operator notes, and impact in lost units or lost minutes.
Shift and Labor Assignment
RelationshipThe record of workforce deployment to production — shift patterns, crew compositions, individual operator assignments to work centers, skill certifications held, training completion status, and attendance/availability data.
Energy Consumption Record
EntityThe metered utility usage data broken down by equipment, production line, or facility zone — electricity, gas, water, compressed air, and steam consumption linked to time periods, production volumes, and operating conditions.
Digital Twin Model Configuration
EntityThe virtual replica definition that maps physical production assets, process flows, and constraints into a simulation-ready model — including asset topology, process logic, throughput parameters, failure distributions, and calibration state against actual production data.
Scheduling Priority Rule
RuleThe codified logic that determines how production orders are sequenced on constrained resources — including priority classes (customer commitment, margin, shelf life), tie-breaking rules, expedite override policies, and the weighting formulas that schedulers apply (often implicitly) when competing orders contend for the same time slot.
Lot Release Decision
DecisionThe recurring pass/fail judgment point where a completed production lot is evaluated against acceptance criteria before advancing to the next process stage, packaging, or shipment — encompassing the decision criteria, authority levels, hold/release/disposition outcomes, and the evidence package required to support each decision.
Changeover Sequence Rule
RuleThe defined logic governing product-to-product transition sequences on production lines — including sequence-dependent setup times, cleaning requirements, tooling swap matrices, product family groupings, and the optimization constraints that determine which changeover paths minimize total lost time.
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