@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{anbalagan2024assessing,

title = {Assessing Factory's Industry 4.0 Readiness: A Practical Method for IIoT Sensor and Network Analysis},

author = {Sabari Nathan Anbalagan and Melissa Schwarz and Rob Bemthuis and Paul Havinga},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Procedia Computer Science},

volume = {232},

pages = {2730–2739},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{telecom5020019,

title = {Emerging Industrial Internet of Things Open-Source Platforms and Applications in Diverse Sectors},

author = {Eyuel Debebe Ayele and Stylianos Gavriel and Javier Ferreira Gonzalez and Wouter B. Teeuw and Panayiotis Philimis and Ghayoor Gillani},

url = {https://www.mdpi.com/2673-4001/5/2/19},

doi = {10.3390/telecom5020019},

issn = {2673-4001},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Telecom},

volume = {5},

number = {2},

pages = {369–399},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/corr/abs-2404-01726,

title = {A Stability-Based Abstraction Framework for Reach-Avoid Control of  Stochastic Dynamical Systems with Unknown Noise Distributions},

author = {Thom S. Badings and Licio Romao and Alessandro Abate and Nils Jansen},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {CoRR},

volume = {abs/2404.01726},

keywords = {},

pubstate = {published},

tppubtype = {article}

}