A Prescriptive Maintenance Aligned Production Planning and Control Reference Process

Wesendrup, Kevin; Hellingrath, Bernd

Research article in edited proceedings (conference) | Peer reviewed

Abstract

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 about the publication

PublisherBeck, Roman; Petcu, Dana; Fotache, Marin
Book titleProceedings of the 2022 European Conference on Information Systems (Volume 2022)
Page range1-19
Publishing companyAssociation for Information Systems
Place of publicationTimisoara, Rumänien
StatusPublished
Release year2022
Language in which the publication is writtenEnglish
Conference30th European Conference on Information Systems (ECIS 2022), Timișoara, Romania
Link to the full texthttps://aisel.aisnet.org/ecis2022_rp/51
KeywordsPrescriptive Maintenance; Production Planning and Control; Reference Model; Prognostics and Health Management

Authors from the University of Münster

Hellingrath, Bernd
European Research Center for Information Systems (ERCIS)
Wesendrup, Kevin
Chair of Information Systems and Supply Chain Management (Logistik)