@article{https://doi.org/10.1002/joom.1295,

title = {Transition paths for condition-based maintenance-driven smart services},

author = {Henk Akkermans and Rob Basten and Quan Zhu and Luk Van Wassenhove},

url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/joom.1295},

doi = {https://doi.org/10.1002/joom.1295},

year  = {2024},

date = {2024-01-29},

urldate = {2024-01-29},

journal = {Journal of Operations Management},

volume = {n/a},

number = {n/a},

abstract = {Abstract This research investigates growth inhibitors for smart services driven by condition-based maintenance (CBM). Despite the fast rise of Industry 4.0 technologies, such as smart sensoring, internet of things, and machine learning (ML), smart services have failed to keep pace. Combined, these technologies enable CBM to achieve the lean goal of high reliability and low waste for industrial equipment. Equipment located at customers throughout the world can be monitored and maintained by manufacturers and service providers, but so far industry uptake has been slow. The contributions of this study are twofold. First, it uncovers industry settings that impede the use of equipment failure data needed to train ML algorithms to predict failures and use these predictions to trigger maintenance. These empirical settings, drawn from four global machine equipment manufacturers, include either under- or over-maintenance (i.e., either too much or too little periodic maintenance). Second, formal analysis of a system dynamics model based on these empirical settings reveals a sweet spot of industry settings in which such inhibitors are absent. Companies that fall outside this sweet spot need to follow specific transition paths to reach it. This research discusses these paths, from both a research and practice perspective.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kang2023RobustManagement,

title = {Robust Spare Parts Inventory Management},

author = {Zhao Kang and Ahmadreza Marandi and Rob J. I. Basten and Ton De Kok},

url = {https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4553430},

year  = {2023},

date = {2023-08-27},

urldate = {2023-08-27},

journal = {Management Science (submitted)},

volume = {15},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Silveria2023AME,

title = {Integration of multiple failure mechanisms in a life assessment method for centrifugal pump impellers},

author = {Nubia Nale Alves da Silveira and Annemieke A. Meghoe and Tiedo Tinga},

doi = {10.1177/16878132231175755},

issn = {1687-8132},

year  = {2023},

date = {2023-06-26},

urldate = {2023-06-26},

journal = {Advances in mechanical engineering},

volume = {15},

number = {6},

publisher = {Sage},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{doi:10.1080/24725854.2023.2257245,

title = {Maintenance optimization for capital goods when information is incomplete and environment-dependent},

author = {Rob Basten Ragnar Eggertsson and Geert-Jan Houtum},

url = {https://doi.org/10.1080/24725854.2023.2257245},

doi = {10.1080/24725854.2023.2257245},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {IISE Transactions},

volume = {0},

number = {0},

pages = {1-16},

publisher = {Taylor & Francis},

keywords = {},

pubstate = {published},

tppubtype = {article}

}