A Prescriptive Maintenance Aligned Production Planning and Control Reference Process

Wesendrup, Kevin; Hellingrath, Bernd

Forschungsartikel in Sammelband (Konferenz) | Peer reviewed

Zusammenfassung

Digital innovations can improve various business processes, such as production planning and control (PPC). In the last years, prescriptive maintenance (PxM) emerged as a strategy to increase overall production performance, but an alignment of the PPC process with PxM has not been examined yet. To tackle this problem, a PxM-aligned PPC process is designed and evaluated in this study using a reference model development methodology, including a narrative literature review, a multivocal literature review, and eight expert interviews. The reference model shows where process elements benefit from PxM alignment, how alignment can be achieved from a process and output, data, function, and organization view, and where fits and gaps between theory and practice are.

Details zur Publikation

Herausgeber*innenBeck, Roman; Petcu, Dana; Fotache, Marin
BuchtitelProceedings of the 2022 European Conference on Information Systems (Band 2022)
Seitenbereich1-19
VerlagAssociation for Information Systems
ErscheinungsortTimisoara, Rumänien
StatusVeröffentlicht
Veröffentlichungsjahr2022
Sprache, in der die Publikation verfasst istEnglisch
Konferenz30th European Conference on Information Systems (ECIS 2022), Timișoara, Rumänien
Link zum Volltexthttps://aisel.aisnet.org/ecis2022_rp/51
StichwörterPrescriptive Maintenance; Production Planning and Control; Reference Model; Prognostics and Health Management

Autor*innen der Universität Münster

Hellingrath, Bernd
European Research Center for Information Systems (ERCIS)
Wesendrup, Kevin
Lehrstuhl für Wirtschaftsinformatik und Logistik (Prof. Hellingrath) (Logistik)