6533b821fe1ef96bd127ae98

RESEARCH PRODUCT

Structuring Humanitarian Supply Chain Knowledge Through a Meta-Modeling Approach

Tina ComesMatthieu LaurasFrederick BenabenLaura Laguna Salvadó

subject

Structure (mathematical logic)021110 strategic defence & security studiesClass (computer programming)Decision support systemProcess managementHorizontal and verticalComputer scienceSupply chain05 social sciences0211 other engineering and technologiesContext (language use)02 engineering and technologyMeta-modelingStructuringHumanitarian supply chain[SPI]Engineering Sciences [physics]0502 economics and businessField researchComputingMilieux_MISCELLANEOUS050203 business & management

description

To develop decision support systems (DSS) that improve humanitarian supply chain (HSC) performance, there is a need for methods that support on field data gathering and knowledge structure. We propose a meta-model to structure the knowledge of HSC and to obtain a shared vision of the HSC. It has been developed to provide a framework to class gathered data by connecting it to HSC concepts. The meta-model includes four packages, defining the collaborative ecosystem (context, actors, objectives, and behavior). The concepts gathered during our field research experiences, added to the HSC core literature, have permitted to build the HSC meta-model layer. Models built from this meta-model can be used as knowledge bases for future DSS, dedicated to support vertical and horizontal coordination and collaboration of actors.

yearjournalcountryeditionlanguage
2017-09-03
https://doi.org/10.1057/978-1-137-59099-2_16