Manufacturing / solution example

A production plan that respects the constraints behind the calendar.

Sequence material-ready jobs around capacity, changeovers, skills, and delivery commitments.

Production scheduling
Production scheduling - illustrative connected workflowSAME SIX JOBS. DIFFERENT SEQUENCES.BeforeABACBC5 changesCompareAABBCC2 changesStill subject toMaterialsCapacityDue datesA better sequence must also be a feasible one.
Illustrative workflow and data. The implementation follows your business rules.
The business problem

A tidy schedule is not necessarily an executable one.

Capacity, materials, product families, and due dates interact. Give planners a way to build feasible sequences, compare alternatives, and understand what changed before accepting a new plan.

01

Establish readiness

Connect orders and materials to capable work centers and available shifts.

02

Compare feasible sequences

Evaluate job ordering, changeovers, due dates, and capacity together rather than optimizing one measure in isolation.

03

Review and publish a plan

Keep the baseline, proposed changes, exceptions, and planner decisions connected.

The workflow in practice

Compare the actual sequence.

Grouping jobs can reduce changeovers, but the proposed plan must still satisfy material availability, capacity, and delivery commitments.

The same six jobs have five changeovers in ABACBC and two in AABBCC.ONE SET OF JOBS. TWO CANDIDATE SEQUENCES.Current sequenceA|B|A|C|B|C5 changesIllustrative sequenceProposed sequenceAA|BB|CC2 changesIllustrative sequenceCheck feasibility before accepting the planMaterials / capacity / due dates
Illustrative workflow and quantities, not customer results. On smaller screens, scroll the diagram to inspect the detail.
From source records to a decision

A decision you can trace.

The same six jobs can create five family changes or two. Whether the alternative works still depends on material and delivery constraints.

Original sequence

A / B / A / C / B / C

Proposed sequence

A / A / B / B / C / C

Feasibility review

Check release dates, capacity, and promised dates

Illustrative scenario, not measured customer results.
A useful role for an agent
Which constraints change if we group these jobs by product family?

An agent can compare the two saved plans and explain the material, capacity, and delivery trade-offs. A defined scheduling model calculates the sequence; the agent does not invent the result.

Keep the decision with the right person.

A planner accepts the version to publish. The example is an illustration, not a promised reduction in changeovers.

Designed around your business

Your data.
Your rules.
A connected system.

Capture the requirements and definitions in project context. Connect the relevant records. Use agents to develop the interfaces, calculations, tools, and workflows on managed infrastructure.

Product-family changeoversMaterial-ready datesLine capabilityPlanner-approved overrides
Explore the platform

Orders and materials

Quantities, promised dates, inventory, and receipts

Production resources

Line capability, shift calendars, and run rates

Planning rules

Changeovers, priorities, and hard constraints

Applications, APIs, data, and agents on Vortexify.
Useful things to trackDelivery riskChangeover timePlan feasibility
Your next system

Build around your work.

Start from your own requirements, use research and design references where helpful, and choose how your team wants to build.

Build independentlyBuild togetherExpand over time