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IOT-BASED BUSINESS PROCESS MANAGEMENT FOR TEMPERATURE-CONTROLLED LOGISTICS SYSTEM OF LABORATORY SPECIMENS

  • Chiang Mai University
  • Sripathum University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The transportation of laboratory specimens and raw materials for advanced therapy medicinal products (ATMP) is challenging due to the need for strict temperature control and limited delivery periods. Such transportation must be conducted with care to prevent damage or compression, which may compromise the viability and stability of the specimens. Unlike other types of materials, transportation of specimens requires more complex control measures to ensure their usefulness in laboratory examinations and biological processes. Any damage or deterioration during transportation could significantly affect patient diagnosis and treatment. The transportation logistics system for these specimens contains sensitive personal information related to patient safety and life preservation. Hence, good control, tracking, and traceability are crucial to ensure safe transportation. This research recommends an IoT-based temperature-controlled logistics system for laboratory specimens, using Business Process Model and Notation (BPMN) to efficiently manage the transportation process. This system aims to maintain specimen stability and viability, thus ensuring the safety and quality of patient treatment. Thai transport and logistics service providers can implement this system to enhance transportation safety and quality.

Original languageEnglish
Title of host publicationProceedings of the 37th ECMS International Conference on Modelling and Simulation, ECMS 2023
EditorsEnrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni
PublisherEuropean Council for Modelling and Simulation
Pages359-365
Number of pages7
ISBN (Electronic)9783937436807
Publication statusPublished - 2023
Event37th ECMS International Conference on Modelling and Simulation, ECMS 2023 - Florence, Italy
Duration: 20 Jun 202323 Jun 2023

Publication series

NameProceedings - European Council for Modelling and Simulation, ECMS
Volume2023-June
ISSN (Print)2522-2414

Conference

Conference37th ECMS International Conference on Modelling and Simulation, ECMS 2023
Country/TerritoryItaly
CityFlorence
Period20/06/2323/06/23

Keywords

  • BPM
  • BPMN
  • Cold chain logistics
  • Internet of Thing
  • IoT
  • Laboratory specimens

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