Publications and Talks

@article{Angreani2023,
title = {Identifying Essential Driving Factors of Industry 4.0 Maturity Models Using Fuzzy MCDM Methods},
author = {Angreani, Linda Salma; Vijaya, Annas; Wicaksono, Hendro},
year = {2023},
date = {2023-10-24},
journal = {Procedia CIRP},
keywords = {Fuzzy TOPSIS, industry 4.0, industry 4.0 maturity assessment, MCDM},
pubstate = {forthcoming},
tppubtype = {article}
}

@article{Angreani2020,
title = {Systematic Literature Review of Industry 4.0 Maturity Model for Manufacturing and Logistics Sectors},
author = {Angreani, Linda Salma; Vijaya, Annas; Wicaksono, Hendro},
url = {https://doi.org/10.1016/j.promfg.2020.11.056},
doi = {doi.org/10.1016/j.promfg.2020.11.056},
year = {2020},
date = {2020-12-31},
journal = {Procedia Manufacturing},
volume = {52},
abstract = {A maturity model is a wide technique to measure several aspects and identify the current state of processes in an organization, which can be used as a starting point for business improvement. In the Industry 4.0 context, several terms are used to express the model, such as readiness assessment model, roadmap, framework, and maturity index. They have the same purpose of measuring how the current state of an organization unit is capable of adopting and implementing the concept of industry 4.0 in the future. Many researchers had proposed maturity models for assessing Industry 4.0 readiness and maturity since 2011 when Industry 4.0 was commenced. However, there has been no attempt to analyze empirical evidence systematically. This paper aims to analyze currently available maturity models related to Industry 4.0 and provide a synthesis on those maturity models. This paper describes a systematic literature review (SLR) of empirical studies implemented on the maturity model published in several reputable and relevant sources. It focuses on the manufacturing and logistics sectors since the processes in both sectors can be highly improved through the introduction of technologies such as cyber-physical systems, internet of things, and artificial intelligence.

In general, the primary purpose of the review is to address the following questions: (1) Based on what dimensions do researchers develop Industry 4.0 maturity models, and what are the most used and influencing parameters in those dimensions? (2) How do those maturity models compare to each other in terms of dimension complexity, techniques, maturity leveling, and kind of application sectors of the model? In conclusion, the maturity model in the context of Industry 4.0 is promising to guide the adoption of industry 4.0 technologies at the organization level. However, just having a maturity model is not enough. More efforts are needed to facilitate the application of it.},
keywords = {industry 4.0, industry 4.0 maturity assessment, manufacturing, systematic literature review},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{Rasyid2019,
title = {Pothole Visual Detection using Machine Learning Method integrated with Internet of Thing Video Streaming Platform},
author = {Rasyid, Alfandino; Ulil Albaab, Mochammad Rifki; Falah, Muhammad Fajrul ; Panduman, Yohanes Yohanie Fridelin; Yusuf, Alviansyah Arman; Basuki, Dwi Kurnia; Tjahjono, Anang; Budiarti, Rizqi Putri Nourma; Sukaridhoto, Sritrusta; Yudianto, Firman; Wicaksono, Hendro},
url = {https://ieeexplore.ieee.org/document/8901626},
doi = {10.1109/ELECSYM.2019.8901626},
year = {2019},
date = {2019-09-28},
booktitle = { 2019 International Electronics Symposium (IES)},
pages = {672-675},
publisher = {IEEE},
keywords = {industry 4.0, Internet of Things, machine learning},
pubstate = {published},
tppubtype = {inproceedings}
}

@article{Schneider2019,
title = {Virtual engineering of cyber-physical automation systems: The case of control logic},
author = {Schneider, Georg Ferdinand; Wicaksono, Hendro; Ovtcharova, Jivka },
url = {https://www.sciencedirect.com/science/article/pii/S1474034618300740},
doi = {https://doi.org/10.1016/j.aei.2018.11.009.},
isbn = {1474-0346},
year = {2019},
date = {2019-01-31},
journal = {Advanced Engineering Informatics},
volume = {39},
pages = {127-143},
abstract = {Mastering the fusion of information and communication technologies with physical systems to cyber-physical automation systems is of main concern to engineers in the industrial automation domain. The engineering of these systems is challenging as their distributed nature and the heterogeneity of stakeholders and tools involved in their engineering contradict the need for the simultaneous engineering of their cyber and physical parts over their life cycle. This paper presents a novel approach based on the virtual engineering method, which provides support for the simultaneous engineering of the cyber and physical parts of automation systems. The approach extends and integrates the life cycle centered view mandated by current conceptual architectures and the digital twin paradigm with an integrated, iterative engineering method. The benefits of the approach are highlighted in a case study related to the engineering of the control logic of a cyber physical automation system originating from the process engineering domain. We describe for the first time a modular domain ontology, which formally describes the cyber and physical part of the system. We present cyber services built on top of the ontology layer, which allow to automatically verify different control logic types and simultaneously verify cyber and physical parts of the system in an incremental manner.},
keywords = {Cyber-physical systems, industry 4.0, Ontology, virtual engineering},
pubstate = {published},
tppubtype = {article}
}

@workshop{Wicaksono2018f,
title = {Challenges and Opportunities of Asian Logistics and Logistics 4.0},
author = {Hendro Wicaksono},
year = {2018},
date = {2018-09-04},
address = {Basel},
organization = {Intercoop},
keywords = {industry 4.0, Internet of Things, logistics, logistics 4.0},
pubstate = {published},
tppubtype = {workshop}
}

@misc{Wicaksono2018c,
title = {Preparing Indonesia and Germany for Industry 4.0: A Reflection and Inspirations from both countries },
author = {Wicaksono, Hendro},
year = {2018},
date = {2018-08-22},
keywords = {health 4.0, industry 4.0, industry 4.0 maturity assessment},
pubstate = {published},
tppubtype = {presentation}
}

@workshop{Wicaksono2018e,
title = {Research and innovation on Industry 4.0 Technologies},
author = {Wicaksono, Hendro},
year = {2018},
date = {2018-08-16},
publisher = {PENS Surabaya},
address = {Surabaya, Indonesia},
keywords = {Agriculture 4.0, industry 4.0, innovation management, Internet of Things, Media 4.0, smart cities, Supply Chain 4.0},
pubstate = {published},
tppubtype = {workshop}
}

@workshop{Wicaksono2018d,
title = {Preparing IT Industry and Organizations Towards industry 4.0},
author = {Wicaksono, Hendro },
editor = {The Government of East Java Province, Indonesia},
year = {2018},
date = {2018-08-14},
publisher = {The Government of East Java Province, Indonesia},
address = {Surabaya, Indonesia},
keywords = {education 4.0, industry 4.0, industry 4.0 maturity assessment, innovation management, innovation network},
pubstate = {published},
tppubtype = {workshop}
}

@misc{Wicaksono2017d,
title = {Welcoming industry 4.0 through synergy between higher education, business, and government: a perspective from Germany},
author = {Hendro Wicaksono},
url = {http://uin-suka.ac.id/page/berita/detail/1551},
year = {2017},
date = {2017-12-19},
keywords = {industry 4.0, IT education, social education},
pubstate = {published},
tppubtype = {presentation}
}

@misc{Wicaksono2017c,
title = {Towards high quality and social-aware nation of Indonesia 2030 - An Inspiration from Germany},
author = {Hendro Wicaksono},
url = {http://brianrakhmataji.me/blog/mengenal-industry-4-dot-0-bersama-dr-ing-hendro-wicaksono-dalam-seminar-informatika-2017/},
year = {2017},
date = {2017-12-18},
keywords = {industry 4.0, IT education, social education},
pubstate = {published},
tppubtype = {presentation}
}