Production Planning: Protect Material, Capacity and Delivery Commitments

Production Planning: Protect Material, Capacity and Delivery Commitments helps you turn demand into a feasible release decision. Use one real order, one normal path and one exception in the evaluation.

Five orders are due this week. Two are ready, one lacks material, one awaits an outsourced process and one needs a qualified operator. Planning releases only feasible work and assigns every constraint.

Make the operational decision explicit

Check due work against usable material, route capacity, skills, outside work and quality readiness every day.

Smart Suggest checks BOM demand, available stock, existing production and open purchase orders before proposing in-house, purchase or subcontract actions for review.

ISA-95 is the external process or control reference for this guide: https://www.isa.org/standards-and-publications/isa-standards/isa-95-standard. It does not prove an Optiwise feature or outcome; our product statements come from the current product record.

Implementation worksheet

#	Input	Evidence
1	Due orders and priority	Owner and definition
2	Material and outside work	Authoritative source
3	Machine and skill capacity	Acceptance rule
4	Quality and dispatch status	Exception owner

Run the workflow with accountable roles

1. 1. Due orders and priority. Name the person who owns the record and decision.
2. 2. Material and outside work. Use a current value from the representative order.
3. 3. Machine and skill capacity. Write the pass condition before the demo or rollout.
4. 4. Quality and dispatch status. Assign correction and escalation responsibility.

Reconcile the test by hand. When the system result differs from the source record, classify the gap as master data, timing, transaction ownership, permissions or configuration before changing the workflow.

Test exceptions before rollout

• Urgent order enters
• Machine stops
• Supplier date slips

For each exception, record the expected status, permitted action, approver, correction path and audit evidence. A fast normal path does not compensate for an uncontrolled exception.

Connect the page to the next buyer task

review the product workflow, check the supporting module, prepare implementation inputs, read the related guide, open the detailed workflow guide, book a connected demo. Ask us to run the scenario with your roles and representative records, including the exception and correction path.

Questions to settle in the demo

What should we prepare?

Prepare one representative order, the four inputs above and a complication your team encounters today. Remove confidential values if needed while keeping the record relationships intact.

What is a passing result?

Accept the workflow when the normal path and exceptions leave a complete, role-appropriate record that another person can reconcile. Keep capability validation separate from any promised business result.

Production planning is the operating bridge between customer demand and factory execution. It decides what should be produced, when it should start, which material is required, which machine or process will be used, and whether the promised dispatch date is realistic.

A factory without production planning may still look busy. People are moving, machines are running, purchase is active, and dispatch is under pressure. But busyness is not the same as control. If work starts without material readiness, if urgent orders keep disturbing the schedule, or if sales does not know what production can actually deliver, the business pays through delays and cost.

AICAN Optiwise helps manufacturers create planning visibility across sales orders, BOMs, inventory, purchase, production, and dispatch.

Why Production Planning Is Important

Production planning improves the ability to deliver orders profitably and predictably. It helps the business use material, machines, labour, and supplier commitments in the right sequence.

It matters because it supports:

• On-time delivery
• Better machine utilization
• Lower emergency purchase
• Reduced WIP confusion
• Better labour allocation
• Lower rework caused by rushed jobs
• Clear customer communication
• Improved cash flow through faster dispatch

Without planning, teams spend more time reacting than improving.

Start With Demand Prioritization

Not every order has the same priority. Planning should begin by reviewing demand.

Classify demand as:

• Confirmed customer order
• Forecast requirement
• Repeat schedule
• Urgent order
• Make-to-stock production
• Sample or trial order

Confirmed orders with committed dispatch dates usually need priority, but strategic customers, payment status, material readiness, and margin may also influence sequencing.

Use BOM To Calculate Material Requirement

A production plan must be linked to BOMs. Otherwise, planners cannot know what material is required.

For each planned job, check:

• Finished item code
• BOM version
• Raw material quantity
• Bought-out components
• Packaging
• Scrap allowance
• Alternate materials
• Subassemblies

BOM errors create planning errors. If the BOM is not trusted, production planning becomes guesswork.

Check Inventory Before Releasing Work

Before releasing a work order, check current stock and expected availability.

Review:

• Available stock
• Stock reserved for other orders
• Material under inspection
• Rejected stock
• Open purchase orders
• Expected goods receipt date
• Critical shortage items

A good planning system should show whether the job is ready, partially ready, or blocked.

Include Capacity Planning

Material alone is not enough. A job also needs machines, tools, people, and inspection capacity.

Capacity planning should consider:

• Machine availability
• Setup time
• Batch size
• Labour skill
• Shift plan
• Maintenance schedule
• Outsourced process lead time
• Quality inspection load

If capacity is ignored, the plan may overload the factory.

Track Plan Versus Actual

Production planning improves when actual performance is measured.

Track:

• Planned start date vs actual start date
• Planned completion vs actual completion
• Delay reason
• Material shortage reason
• Machine downtime
• Rework
• Output quantity
• Dispatch status

This helps the business learn from repeated delays instead of accepting them as normal.

How Optiwise Helps

Optiwise by AICAN connects demand, BOM, inventory, purchase, production, and dispatch records. This helps planners see constraints before work starts and track execution after release.

For manufacturers, this means fewer surprise shortages and clearer order priorities.

Founder’s Note

At AICAN, we believe production planning should be practical enough for daily use. A plan that lives only in one person's notebook cannot support a growing factory.

Optiwise helps turn production planning into a shared operating rhythm.

FAQs

What is production planning in manufacturing?

It is the process of deciding what to produce, when to produce, what materials are needed, and which resources will be used.

Why is production planning important?

It improves delivery reliability, cost control, material readiness, machine utilization, and customer communication.

What data is required for production planning?

Sales orders, BOMs, inventory, purchase orders, supplier lead times, machine capacity, labour availability, and dispatch commitments.

How can production planning reduce cost?

It reduces urgent purchases, idle time, overtime, excess WIP, rework, and missed dispatches.

How does Optiwise help production planning?

AICAN Optiwise gives manufacturers connected visibility across sales, BOM, stock, purchase, production, and dispatch.