Realistic load
Orders, capacities and calendars share the same horizon.

Capability · Industrial planning
Align demand, materials, skills, equipment, calendars and priorities to build an executable plan, then revise it without losing the reason behind arbitration.
A capability shaped by your flows, rules and field evidence.
Orders, capacities and calendars share the same horizon.
Urgencies are arbitrated using service, risk and contribution.
Workshop, supply and maintenance receive a contextualised plan.
Each change retains its trigger and impact.
Decision framework
Planning does not seek a perfect schedule. It makes constraints, decisions and consequences visible before execution.
Gaps to eliminate
Each gap connects an observable situation to a business consequence. Diagnosis then verifies frequency, impact and cause.
Orders exist without realistic capacity consumption.
Delays discovered on the shop floorMaterial, tooling, skills or maintenance are not synchronised.
Unexecutable theoretical planEach urgency shifts other orders without impact measurement.
Instability and productivity lossProgress, scrap and micro-stops return after the decision.
Replanning based on old realityOperational journey
Each transition identifies the participant, responsible system and expected proof.
Demand
Capacity
Arbitration
Execution
Improvement
Decision lab
These scenarios are illustrative: they show decision logic and responsibilities without claiming to simulate your actual outcomes.
Critical failure
A bottleneck resource becomes unavailable for two shifts.
Compare transfer, alternate sequence, subcontracting and new promise.
Impacted orders and approved choice visible.
Late material
A shared component is missing across three routings.
Reserve material based on commitments and production alternatives.
Material allocation and customer impact explained.
Urgent order
A premium order requires insertion within 48 hours.
Simulate changeovers, hours, induced delays and margin before approval.
Decision and consequences accepted.
Responsibility architecture
The responsibilities below form a reference architecture to adapt to the existing IT landscape.
Actionable cockpit
Each order should show its dominant constraint, service risk, capacity consumption and reason for change.
Success conditions
Activities, sites, participants, systems and boundaries are defined before any automation.
Each data item, rule, decision and exception has a business owner and responsible system.
An action is only treated as complete after verifiable feedback from the field or execution system.
A baseline, indicator, horizon and interpretation limits are agreed before the pilot.
Related B‑AGILE solutions
A capability may be carried by a full suite, a standalone solution or an existing system. Diagnosis decides.
Integrated response for plan, materials, execution, quality, maintenance and performance.
Explore SolutionCarries orders, BOMs, routings, requirements and planning.
Explore SolutionMakes materials, lots, reservations and line feeding reliable.
Explore SolutionMakes unavailability and interventions visible to planning.
ExploreGo further
Frequently asked questions
Not necessarily. Scoping distinguishes what should be retained, connected, extended or replaced based on value, risk and expected responsibility.
Yes. One flow, one site and a few critical decisions can test data, rules, interfaces and adoption before extension.
By the decision window. Each event must specify its source, frequency, acceptable age and degraded mode.
No. Benefits are measured against an agreed baseline, scope and period; no generic percentage is promised.
Through suitable architecture, role-based rights, logging, retention rules and risk-proportionate monitoring.
Named business owners, with IT and execution teams contributing; overrides remain traceable.
Your context first
Identify the decisions, data, responsibilities and pilot that will deliver observable value.