Prognosis Logo
  • About
Request Demo
Sign In
  • About
Prognosis Logo

We make forecasting clinical trials simple.

© Copyright 2026 Prognosis Technologies Inc. All Rights Reserved.

Navigation

  • About
  • Blog
  • How to use Prognosis
  • Terms of Service
  • Careers
  • Contact

Built with precision for clinical trial professionals

SOC 2 Type II
Prognosis
Back to Documentation
  • Countries and Depots
  • Recruitment Configuration
  • Trial Kits
  • Label Groups
  • Treatment Arms
  • Cohorts and Titration
  • Production Constraints
  • Actuals
Documentation
Back to Documentation
  • Countries and Depots
  • Recruitment Configuration
  • Trial Kits
  • Label Groups
  • Treatment Arms
  • Cohorts and Titration
  • Production Constraints
  • Actuals

Production Constraints

Configure manufacturing lead times, batch sizes, safety stock rules, and custom lot configurations.

Overview

Production constraints define the manufacturing limitations and safety stock rules that govern your clinical trial's kit supply. They answer three critical questions:

  • How fast can you make kits? Your manufacturer has a lead time — the gap between placing an order and receiving finished kits.
  • How many kits per run? Manufacturing happens in batches with minimum and maximum quantities.
  • How much buffer stock should you hold? Overage percentages and seed amounts ensure you have enough kits to handle enrollment variability and avoid shortages.

Without production constraints, Prognosis cannot calculate a realistic supply plan. These settings directly feed into the supply-demand forecast, determining whether you will have enough kits before demand peaks, how much inventory to hold, and when to initiate manufacturing runs.


Production Settings

Production settings control manufacturing timing and capacity. You choose how these settings apply:

Production Settings Mode

ModeDescription
All Kit Types (default)A single set of production settings applies to every kit. Use when all kits come from the same manufacturer or production line.
Per Kit TypeEach kit gets its own lead time, batch sizes, and frequency. Use when different kits have different manufacturers or production complexities.

Start with "All Kit Types" unless you know your kits have different manufacturing parameters.

Key Fields

FieldTypeRequiredExampleDescription
Production Lead TimeNumber + UnitYes4 WeeksTime from order placement to delivery
Production Lead Time UnitDropdown (Day, Week, Month, Year)YesWeekCombined with the lead time value
Min Production Kit QuantityNumberNo500Minimum batch size per manufacturing run
Max Production Kit QuantityNumberNo5,000Maximum kits per run
Frequency of ProductionNumber + UnitYesEvery 2 WeeksHow often manufacturing runs can occur

Validation rules:

  • Production lead time must be greater than 0
  • If both min and max quantities are specified, max must be greater than or equal to min
  • Frequency of production must be greater than 0

Per-Kit Production Settings

When you select "Per Kit Type" mode, a tabbed interface appears with one tab per kit defined in Step 3. Each tab contains the same fields as above, scoped to that specific kit. This lets you model different manufacturers or production lines accurately — for example, an active drug kit with a complex formulation might have a 6-week lead time while a placebo kit needs only 2 weeks.


Safety Stock Configuration

Safety stock settings determine how much buffer inventory you maintain to protect against enrollment variability and supply disruptions.

Safety Stock Unit

UnitDescriptionWhen to Use
GlobalA single overage percentage and seed amount apply across the entire trialSimple trials with uniform demand across all regions
Per CountryEach country gets its own overage percentage and seed amountTrials where enrollment rates or regulatory requirements differ by country
Per DepotEach depot gets its own overage percentage and seed amountLarge trials with multiple distribution centers serving different demand patterns

Global Safety Stock

FieldTypeExampleDescription
Global Overage PercentageNumber (0 or greater)15%Extra kits produced above forecasted demand. 15% means if you need 1,000 kits, you produce 1,150
Global Site Seed PercentageNumber (0 or greater)10%Percentage of kits pre-distributed to sites before enrollment begins

Kit-Level Overrides

Even in global mode, you can override the overage percentage and seed amount for individual kits. This is useful when certain kits are more expensive or have shorter shelf lives:

FieldTypeExampleDescription
Kit Overage PercentageNumber (0 or greater)Kit A: 20%, Kit B: 10%Expensive kits might get lower overage; critical kits might get higher
Kit Seed AmountNumber (0 or greater)Kit A: 50 unitsAbsolute number of kits seeded to sites, overriding the percentage

Kit-level overrides are available in all three modes (global, per-country, and per-depot).

Per-Country Safety Stock

When set to "Per Country," you configure overage and seed values for each country from Step 1:

FieldTypeExample
Country Overage PercentageNumber (0 or greater)US: 20%, Germany: 10%
Country Seed PercentageNumber (0 or greater)US: 15%, Germany: 8%

Use the Copy Safety Stock Configuration feature to copy one country's settings to others, then adjust as needed.

Per-Depot Safety Stock

When set to "Per Depot," you configure overage and seed values for each depot from Step 1:

FieldTypeExample
Depot Overage PercentageNumber (0 or greater)Central Depot: 25%, Regional EU: 15%
Depot Seed PercentageNumber (0 or greater)Central Depot: 20%

Custom Lot Configurations

Custom lot configurations let you define specific manufacturing batches with known dates, quantities, and label group assignments. These represent real or planned manufacturing lots that Prognosis accounts for in the forecast.

When to Use Custom Lots

  • You have a confirmed manufacturing schedule with specific lot numbers and quantities
  • You need to track expiry dates for regulatory compliance
  • Different lots serve different label groups (and therefore different countries)
  • You want the forecast to account for known incoming supply

Custom Lot Fields

FieldTypeRequiredDescription
Lot NameText (1 to 255 chars)YesUnique identifier for this lot. Must be unique within the trial
KitDropdown (from Step 3)YesWhich kit type this lot produces
Lot NumberTextNoManufacturer lot number. Must be unique if provided
Number of KitsNumber (greater than 0)YesHow many kits this lot produces
First Eligible Manufacture DateDateYesEarliest date manufacturing can begin
First Eligible Central Depot Shipment DateDateYesEarliest date finished kits can ship. Must be after manufacture date
Expiry DateDateYesWhen kits from this lot expire
Label GroupsMulti-select (from Step 4)NoWhich label groups this lot serves

Custom lots are especially useful for modeling initial supply. Enter confirmed manufacturing batches so the forecast starts with accurate initial inventory.


How Production Constraints Affect Forecasts

Example Scenario

Consider a trial with these parameters:

From earlier steps:

  • 3 countries, 1 central depot
  • 150 patients enrolled over 4 months (Jan to Apr 2025)
  • 6 visits per patient over 6 months
  • 2 kit types: Active Drug (Kit A) and Placebo (Kit B)
  • Total demand: approximately 900 kits

Production constraints configured:

  • Production lead time: 4 weeks
  • Min batch size: 200 kits, max batch size: 1,000 kits
  • Production frequency: every 2 weeks
  • Safety stock: Global, 15% overage, 10% site seed
  • Custom lot: "Initial Supply" with 300 Kit A units, manufacture Jan 1, ship Jan 15

What happens in the forecast:

  1. Demand curve: Enrollment peaks in February to March, with follow-up visits extending through September.
  2. Initial supply: The custom lot provides 300 Kit A units available from Jan 15, covering approximately the first 2 months of Kit A demand.
  3. Safety stock buffer: 15% overage means the system plans for approximately 1,035 total kits instead of 900. The 10% site seed pre-distributes approximately 104 kits to sites before enrollment starts.
  4. Production scheduling: With a 4-week lead time and 2-week production frequency, orders must be placed 4 weeks before kits are needed, new runs can be initiated every 2 weeks, and each run produces between 200 and 1,000 kits.
  5. Batch rounding: If demand for a period is 350 kits, the system orders 400 (rounded up given the minimum of 200).

Validation Requirements

To proceed to Step 8, all fields must pass strict validation:

RuleDetails
Production lead timeMust be greater than 0 with a valid time unit
Production frequencyMust be greater than 0 with a valid time unit
Min/Max batch quantitiesIf both specified, max must be greater than or equal to min
Safety stock valuesOverage percentage must be 0 or greater; seed percentage must be 0 or greater
Per-country/depot entriesEach must have a valid overage percentage
Kit overridesEach kit can only have one override per level (global, country, or depot)
Custom lot namesMust be unique within the trial
Custom lot numbersIf provided, must be unique within the trial
Custom lot datesManufacture date must be before shipment date
Custom lot kit countMust be greater than 0

The Continue button is enabled only when all validations pass.


Tips

  • Start with global safety stock. Unless you have specific requirements per country or depot, begin with global mode. You can switch later as your trial plan evolves.
  • Manufacturing lead time is your most critical setting. A longer lead time means more inventory holding and earlier order placement. Shorter lead times directly reduce supply risk.
  • Batch size impacts cost and waste. Larger minimum batches are often cheaper per unit but produce more surplus. If your kits have short shelf lives, smaller batches reduce expiry waste.
  • Use custom lots for confirmed supply. Enter confirmed manufacturing batches, especially for initial supply, to give the forecast accurate starting inventory.
  • Watch for capacity warnings in analytics. If the forecast shows yellow or red risk indicators, your production constraints may be creating supply risk. Work with your manufacturer to increase capacity or adjust recruitment timelines.
  • This is the final configuration step before analytics. Once you proceed past production constraints, Prognosis has everything it needs to calculate the complete supply plan. You can always return to edit these settings.