Development of a knowledge management system for the NOMAD instrument onboard the ExoMars TGO spacecraft. Issue 2 (26th September 2019)

• Record Type: Journal Article
• Authors: Hetey, Laszlo; Neefs, Eddy; Thomas, Ian; Zender, Joe; Vandaele, Ann-Carine; Berkenbosch, Sophie; Ristic, Bojan; Bonnewijn, Sabrina; Delanoye, Sofie; Leese, Mark; Mason, Jon; Patel, Manish
• Is Part Of: Aircraft engineering and aerospace technology. Volume 92:Issue 2(2020)
• Page Start: 81
• Page End: 92
• Publication Date: 2019-09-26
• Subjects: Knowledge management -- User interface -- Lessons learned -- Instrument development -- Knowledge management systems -- Space technology; Aerospace engineering -- Periodicals; Aeronautics -- Systems engineering -- Periodicals; Astronautics -- Systems engineering -- Periodicals; Airplanes -- Equipment and supplies -- Periodicals; Space vehicles -- Equipment and supplies -- Periodicals; Aerospace industries -- Periodicals; 629.1
• DOI: 10.1108/AEAT-12-2018-0310
• Languages: English
• ISSNs: 1748-8842

Abstract

Abstract : Purpose: This paper aims to describe the development of a knowledge management system (KMS) for the Nadir and Occultation for Mars Discovery (NOMAD) instrument on board the ESA/Roscosmos 2016 ExoMars Trace Gas Orbiter (TGO) spacecraft. The KMS collects knowledge acquired during the engineering process that involved over 30 project partners. In addition to the documentation and technical data (explicit knowledge), a dedicated effort was made to collect the gained experience (tacit knowledge) that is crucial for the operational phase of the TGO mission and also for future projects. The system is now in service and provides valuable information for the scientists and engineers working with NOMAD. Design/methodology/approach: The NOMAD KMS was built around six areas: official documentation, technical specifications and test results, lessons learned, management data (proposals, deliverables, progress reports and minutes of meetings), picture files and movie files. Today, the KMS contains 110 GB of data spread over 11, 000 documents and more than 13, 000 media files. A computer-aided design (CAD) library contains a model of the full instrument as well as exported sub-parts in different formats. A context search engine for both documents and media files was implemented. Findings: The conceived KMS design is basic, flexible and very robust. It can be adapted to future projects of a similar size. Practical implications: The paper provides practical guidelines on how to retain the knowledge from a larger aerospace project. The KMS tool presented here works offline, requires no maintenance and conforms to data protection standards. Originality/value: This paper shows how knowledge management requirements for space missions can be fulfilled. The paper demonstrates how to transform the large collection of project data into a useful tool and how to address usability aspects.