Pharma Constraints

Pharma Supply Chain Constraint Management Built Into Every Plan

Plans only work when constraints are understood.

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Write-offs, priced from the plan

The supply plan projects 582,838 units going unsellable, worth 6,682,435 in cost.

Inventory & Expiry dashboard: 582,838 units and 6,682,435 in cost projected to go unsellable, straight from the supply plan.

Constraints built in, not discovered later

In disconnected spreadsheets, constraints get missed, ignored, or discovered only when plans break. PLAIO embeds constraint awareness into every planning decision, ensuring constraints are understood, visible, and factored into every recommendation the system makes.

Stock on the shelf may still be useless to the market that needs it.

Each batch has an expiry date, and each item a shelf life. Give the item a minimum remaining shelf life, or set one per item and location, and PLAIO calculates the day each batch stops being sellable there.

If a batch will be too short-dated by the time it's needed, it doesn't count toward demand at that location. The plan orders or transfers the stock that's actually required.

Why it matters:

You catch short-dated stock in the plan months ahead. Otherwise you find it at the warehouse, when a customer rejects a delivery or finance writes off a batch.

Minimum remaining shelf life for an injectable at the Nordic warehouse: 12 months shelf life, 6 months required, so a batch expiring in April is flagged as below the requirement while a June batch stays sellable until December

Constraints PLAIO plans around

Supply lane panel for the packaging supplier: Glass Vial Kit with a 2-month lead time, MOQ 1,000 and order increment 200, next to the supply network.

Respect CMO and Supplier Constraints

Define and automatically apply constraints for lead times, MOQs, batch increments, and capacity limits to eliminate infeasible recommendations.

Expiry projection with the batches behind it, highlighting 2,600 Injectable 10ml vials at the Cold Chain Warehouse expiring in March 2028, 117,000 in cost.

Manage Shelf-Life Constraints

Set expiry rules and the minimum shelf life each market accepts. Batches are used first-expiry-first-out, and any batch heading for expiry shows up with its quantity and cost while you can still move it.

Changeover times on Blending Line 1: 45 minutes from cream to syrup, 1 hour from syrup to tablet and 2 hours from tablet to capsule

Embed Manufacturing Constraints

Capture your real-world manufacturing rules - like equipment compatibility, changeover times, and shift patterns - to generate feasible production schedules.

How constraint awareness works in PLAIO

Supply network with the packaging supplier's purchase lane selected and its rules open: Glass Vial Kit with a 2-month lead time, MOQ 1,000 and order increment 200.

Demand

Minimum remaining shelf life is set per market, so short-dated stock doesn't get counted against demand it can't serve. The rough-cut capacity plan spreads demand across each resource, which shows early when you are about to promise more than the lines can make.

Supply

Each lane in the network carries its CMO rules, batch sizes and lead times, and the supply plan applies them automatically. It also checks the shelf life each market requires, so the orders it proposes can actually be placed.

Production

Constraint-based production planning applies cleaning rules, changeovers, and shift calendars directly to schedules, ensuring production plans remain realistic and operationally achievable. A job placed without enough changeover time is raised as an exception, not discovered on the shop floor.

See how constraints drive supply plans
For heads of supply chain

Key capabilities at a glance

  • CMO and supplier rules and shelf life are part of the data model.
  • Broken rules show up early, including stock that will expire, with its quantity and cost.
  • Less checking by hand in side spreadsheets.

Why it matters:

Write-off risk turns into a number you review in S&OP each month. The quarterly close stops springing it on you.

Explore Production Scheduling
Inventory & Expiry dashboard with 582,838 units and 6,682,435 in cost projected unsellable, the monthly expiry projection and the batch list, highlighting 2,600 Injectable 10ml vials expiring in March 2028.

Pharma Constraints FAQ

It means putting the rules that limit what you can make, buy and ship inside the plan. For pharma those include shelf life and minimum remaining shelf life, batch expiry, supplier and CMO lead times and order quantities. On the manufacturing side, they cover which line can run a product, cleaning times and changeovers. Leave them out and the plan looks fine until someone tries to execute it.

Yes, per item and per stocking location. Most companies serve a market through a warehouse or distribution point, so you set six months for one market and four for another on the item at those locations. A value on the item itself is the default. PLAIO works out when each batch stops being sellable at each location and plans around that date.

You set them per item on each supply lane, next to the lead time and the maximum quantity per order. Planned orders round up to the MOQ, then in steps of the increment. A requirement of 1,130 with an MOQ of 1,000 and an increment of 200 becomes an order of 1,200. Firm orders that break the rules get flagged.

Yes. Each production step lists the resources that can run it, with setup, processing and cleaning times. Changeover times are defined per product sequence on each resource. Resources and shop floors have weekly availability patterns, date overrides and downtimes, and the scheduler stays inside them. Place a job without enough changeover time and it becomes an exception.

Open the Inventory & Expiry dashboard. It projects unsellable quantity and cost over the planning horizon, broken down by item, location and batch. It reads from the supply plan, so when you change a shelf-life rule, a lane or an order and re-run the plan, the projection moves with it.

Not as a separate registration record. Each item has a lifecycle status and first and last delivery dates at each location, which control where and when it gets planned. Open orders outside that window are flagged.

Plans that respect pharmaceutical realities

Embed shelf life, supplier and capacity limits directly into every decision so feasibility is never an afterthought.

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