ColdChainExcursionDecisionUtility

Cold Chain Excursion Decision

Vet veterinary veterinary vaccines animal health adjuvants aquaculture batch release CSV→JSON

Utility description: Cold Chain Excursion Decision

Cold Chain Excursion Decision Utility — Temperature Deviation Assessment

ℹ️ Utility performs automated risk assessment for pharmaceutical batches exposed to non-standard temperatures (WHO TRS 953, USP <1079>):
• Freezing Detection: Critical check for biopharmaceuticals and vaccines.
• Duration Analysis: Comparison of excursion time with accelerated stability protocol data.
• Risk Assessment: Calculation of potential product degradation index.
• Decision Making: Generating verdicts: Release, Quarantine, or Reject.

⚠️ IMPORTANT:
• Utility uses a simplified kinetic model. Laboratory testing is required for complex molecules.
• Allowed hours data must be taken from validated stability reports for the specific product.

Usage:
ColdChainExcursionDecisionUtility.exe → demo mode (console output)
ColdChainExcursionDecisionUtility.exe input.csv output.json → evaluate your data

Input format:
ShipmentID,ProductName,StorageCondition,MinTemp_C,MaxTemp_C,Duration_Hours,ExcursionTemp_Avg_C,AllowedHours_AtMaxTemp

Example:
SHIP-001,Vaccine X,2-8C,3.0,15.0,4.0,12.0,24.0

📍 Scope of Application (Usage Where):
• Logistics and Distribution: Rapid incident processing during transportation.
• Warehouse Management: Quality assessment after refrigeration equipment failures.
• Pharmacovigilance: Documentation of incidents for regulatory authorities.
• Quality Management: Standardization of Qualified Person (QP) decision-making process.

— WHY IS THIS NEEDED?
Manual assessment of each temperature incident requires deep graph analysis and reference to stability reports.
Automation of this process reduces product downtime in quarantine and minimizes human error in risk assessment.
This is critically important for ensuring patient safety and complying with GDP (Good Distribution Practice) requirements.

⚠️ CRITICAL:
• Freezing: Even short-term exposure to negative temperatures can irreversibly destroy adjuvants or protein structures.
• Cumulative Effect: Consider if the product has had previous excursions.
• Peak Temperatures: A short-term peak may be less dangerous than prolonged exposure to moderately high temperatures.

Key features:
• Instant check for critical deviations (freezing)
• Comparison with validated stability limits
• Transparent risk calculation algorithm
• Audit trail generation in JSON format
• Support for various storage conditions (2-8°C, CRT, Frozen)

Critical parameters:
• Min Temp: Must be > 0°C for most liquid forms
• Duration: Time spent out of range
• Allowed Hours: Limit from stability report
• Risk Index: Relative exposure magnitude

💡 Usage tips:
1. Data Accuracy: Use data from calibrated loggers with high recording frequency.
2. Limit Actuality: Regularly update allowed time data upon formulation changes.
3. Conservative Approach: In case of doubt, choose "Quarantine" status for additional testing.
4. Integration: Use API for automatic data upload from cloud temperature monitoring systems.
5. Training: Personnel must understand the difference between "Warning" and "Action" limits.

⚠️ Note: This utility is a decision support tool. The final decision on batch release is made by the Qualified Person (QP) based on the complete documentation package.

input.csv

ShipmentID,ProductName,StorageCondition,MinTemp_C,MaxTemp_C,Duration_Hours,ExcursionTemp_Avg_C,AllowedHours_AtMaxTemp
SHIP-2026-VAC-001,Influenza Vaccine,2-8C,3.5,12.0,4.5,10.5,24.0
SHIP-2026-INS-002,Insulin Glargine,2-8C,-2.0,6.0,12.0,-1.0,0.0
SHIP-2026-MAB-003,Adalimumab,2-8C,4.0,22.0,2.0,20.0,48.0

URS & FS — User Requirements and Functional Specification

This document describes the controlled interface and behaviour of ColdChainExcursionDecisionUtility for Cold Chain Excursion Decision Utility.

Domain limits URS input.csv FS IQ/OQ/PQ

Domain limits and critical parameters

Key fragments from the source description are shown below. Before production use, limits must be verified against the approved specification, registration dossier and local SOPs.

ℹ️ Utility performs automated risk assessment for pharmaceutical batches exposed to non-standard temperatures (WHO TRS 953, USP <1079>):
• Freezing Detection: Critical check for biopharmaceuticals and vaccines.
• Duration Analysis: Comparison of excursion time with accelerated stability protocol data.
• Allowed hours data must be taken from validated stability reports for the specific product.
This is critically important for ensuring patient safety and complying with GDP (Good Distribution Practice) requirements.
⚠️ CRITICAL:
• Instant check for critical deviations (freezing)
• Comparison with validated stability limits
Critical parameters:
• Min Temp: Must be > 0°C for most liquid forms
• Allowed Hours: Limit from stability report
2. Limit Actuality: Regularly update allowed time data upon formulation changes.
5. Training: Personnel must understand the difference between "Warning" and "Action" limits.

URS — User Requirements Specification

ID	Requirement	Criticality	Acceptance criterion
URS-001	The utility shall accept an input.csv file for Cold Chain Excursion Decision Utility with headers defined in the data contract.	High	The file is processed without manual header editing.
URS-002	The utility shall perform deterministic QC evaluation without machine learning and without probabilistic conformance decisions.	High	Identical input data, rule version and configuration produce reproducible results.
URS-003	The utility shall validate mandatory fields, data types, ranges, units and domain plausibility.	High	Schema, conversion and range errors are explicitly reported.
URS-004	The utility shall apply domain limits and rules from the description, approved specification, registration dossier and local SOPs.	High	Each check has PASS/WARNING/FAIL and a clear message.
URS-005	The utility shall generate output.json with machine-readable results, source values, warnings, failures and critical findings.	High	JSON is suitable for LIMS/ELN/MES integration and QA/QC review.
URS-006	The utility shall preserve traceability between batch/sample, input file, applied rules and final status.	High	Output contains identifiers, checked parameters and audit metadata.
URS-007	The documentation shall support IQ/OQ/PQ, CSV/CSA and review by internal QA or inspectors.	Medium	URS, FS, input/output contract and test scenarios are supplied with the utility.
URS-008	The utility shall be used as a QC decision-support tool and not as a substitute for approved specifications and QA/QP release decision.	Medium	Documentation states change control and limit-verification expectations.

input.csv contract

#	Field	Type	Sample	Purpose
1	`ShipmentID`	string / controlled vocabulary	`SHIP-2026-VAC-001`	Controlled input parameter for deterministic QC rules.
2	`ProductName`	string / controlled vocabulary	`Influenza Vaccine`	Product or dosage-form name under evaluation.
3	`StorageCondition`	string / controlled vocabulary	`2-8C`	Controlled input parameter for deterministic QC rules.
4	`MinTemp_C`	decimal	`3.5`	Temperature profile/MKT; storage, shipping and stability parameter.
5	`MaxTemp_C`	decimal	`12.0`	Temperature profile/MKT; storage, shipping and stability parameter.
6	`Duration_Hours`	integer / decimal	`4.5`	Time parameter for process, incubation, storage or analytical workflow.
7	`ExcursionTemp_Avg_C`	decimal	`10.5`	Temperature profile/MKT; storage, shipping and stability parameter.
8	`AllowedHours_AtMaxTemp`	integer / decimal	`24.0`	Temperature profile/MKT; storage, shipping and stability parameter.

ShipmentID,ProductName,StorageCondition,MinTemp_C,MaxTemp_C,Duration_Hours,ExcursionTemp_Avg_C,AllowedHours_AtMaxTemp
SHIP-2026-VAC-001,Influenza Vaccine,2-8C,3.5,12.0,4.5,10.5,24.0
SHIP-2026-INS-002,Insulin Glargine,2-8C,-2.0,6.0,12.0,-1.0,0.0
SHIP-2026-MAB-003,Adalimumab,2-8C,4.0,22.0,2.0,20.0,48.0

Input validation rules

ID	Field	Rule	Criticality
VR-001	`ShipmentID`	The field shall match an approved dictionary or accepted string representation.	High
VR-002	`ProductName`	The field shall match an approved dictionary or accepted string representation.	High
VR-003	`StorageCondition`	The field shall match an approved dictionary or accepted string representation.	High
VR-004	`MinTemp_C`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-005	`MaxTemp_C`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-006	`Duration_Hours`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-007	`ExcursionTemp_Avg_C`	The field shall match an approved dictionary or accepted string representation.	Medium
VR-008	`AllowedHours_AtMaxTemp`	The field shall match an approved dictionary or accepted string representation.	Medium

FS — Functional Specification

ID	Function	Implementation
FS-001	CLI execution	Support execution modes: demo mode without arguments and production mode input.csv output.json.
FS-002	CSV import	Read input.csv in UTF-8/CSV-compatible format and validate header and expected columns.
FS-003	Schema validation	Check mandatory fields, column count, unknown key fields and empty mandatory values.
FS-004	Type conversion	Convert numeric, flag and text values; invalid format is recorded as a row-level error.
FS-005	Domain rule engine	Apply rules for Cold Chain Excursion Decision Utility, including critical limits from the description and approved specification.
FS-006	Status aggregation	Produce final status: FAIL for critical failure, WARNING for non-critical deviation, PASS for conformance.
FS-007	JSON export	Write output.json with detailed checks, source values, warnings, failures and critical findings.
FS-008	Audit support	Keep result structure suitable for review, deviation investigation and calculation reproduction.
FS-009	Integration contract	Support the scenario LIMS/ELN/MES → input.csv → utility → output.json → portal/admin review.
FS-010	Error handling	Return explicit messages for missing file, empty CSV, invalid schema, output write failure and invalid format.

Example output.json

{
  "utilityId": "coldchainexcursiondecisionutility",
  "utilityFolder": "ColdChainExcursionDecisionUtility",
  "package": "Vet",
  "overallStatus": "PASS|WARNING|FAIL",
  "sourceFile": "input.csv",
  "processedAtUtc": "2026-06-10T00:00:00Z",
  "checks": [
    {
      "parameter": "ShipmentID",
      "value": "SHIP-2026-VAC-001",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-001"
    },
    {
      "parameter": "ProductName",
      "value": "Influenza Vaccine",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-002"
    },
    {
      "parameter": "StorageCondition",
      "value": "2-8C",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-003"
    },
    {
      "parameter": "MinTemp_C",
      "value": "3.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-004"
    },
    {
      "parameter": "MaxTemp_C",
      "value": "12.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-005"
    },
    {
      "parameter": "Duration_Hours",
      "value": "4.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-006"
    },
    {
      "parameter": "ExcursionTemp_Avg_C",
      "value": "10.5",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-007"
    },
    {
      "parameter": "AllowedHours_AtMaxTemp",
      "value": "24.0",
      "status": "PASS|WARNING|FAIL",
      "message": "Deterministic rule-based check result",
      "ruleReference": "FS-RULE-008"
    }
  ],
  "criticalFindings": [],
  "warnings": [],
  "audit": {
    "inputHash": "sha256:<calculated at runtime>",
    "rulesVersion": "<utility executable version>",
    "documentation": "ColdChainExcursionDecisionUtility.documentation.html"
  }
}

Traceability matrix

URS	FS	Test	Evidence
URS-001	FS-001, FS-002	OQ-001	Verify execution and import of valid input.csv.
URS-002	FS-005, FS-006	OQ-004	Repeat the same dataset and compare output.json.
URS-003	FS-003, FS-004, FS-010	OQ-002, OQ-003	Verify missing columns and invalid types.
URS-004	FS-005, FS-006	OQ-004, PQ-001	Verify critical deviations on real/boundary data.
URS-005	FS-007, FS-009	OQ-005	Verify JSON schema and downstream-system suitability.
URS-006	FS-008	OQ-006	Verify identifiers and audit metadata.
URS-007	FS-008, FS-010	IQ-001, OQ-007	Verify documentation completeness and control evidence.
URS-008	FS-005, FS-008	PQ-002	Verify review workflow and no replacement of QA decision.

IQ/OQ/PQ test scenarios

ID	Scenario	Expected result
IQ-001	Verify executable, input.csv, documentation and checksum availability.	Delivery set is complete; version is recorded.
OQ-001	Valid sample row from input.csv.	PASS or acceptable WARNING according to rules.
OQ-002	Remove a mandatory CSV column.	Schema error or FAIL with missing-column reference.
OQ-003	Place a non-numeric value into a numeric field.	Type-conversion error with row/field reference.
OQ-004	Set a critical parameter outside the limit.	FAIL and critical finding.
OQ-005	Verify output.json structure.	All mandatory sections are present and JSON is valid.
OQ-006	Verify batch/sample traceability.	Input and result identifiers match.
PQ-001	Verify 3–5 real user batches/samples.	Result is confirmed by QC/QA review.
PQ-002	Verify deviation workflow and manual QA decision.	Utility supports review but does not replace approved decision.

QA/QC and change control

Do not rename columns without updating validator, documentation and test set.
Retain input.csv, output.json, executable version and checksum.
Before production use, perform IQ/OQ/PQ or equivalent CSV/CSA verification.
Critical limits shall be verified against the approved specification, registration dossier and local SOPs.
The utility provides structured QC decision support; final release decision remains with QA/QP and approved procedures.

Included in packages

Infectious Diseases QC Suite

QC utility package for infectious diseases: antibacterial, antiviral, antifungal and antiparasitic products, microbiology, sterility, endotoxins, viral safety and vaccine release checks.

Open

Vet — Veterinary QC Utilities

Vet is designed for veterinary pharmaceuticals and vaccines: adjuvants, antigens, autogenous vaccines, aquaculture, feed/premixes, antimicrobial and antiparasitic products, sterility and batch release.

Open