Výsledky vyhledávání - "Jean Paul Sebastian Piest"

Enterprise Architecture Resilience by Design

Autor: Adina Aldea, Egle Vaicekauskaite, Maya Daneva, Jean Paul Sebastian Piest

Publikováno v: Proceedings-2021 IEEE 25th International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021, 147-156
STARTPAGE=147;ENDPAGE=156;TITLE=Proceedings-2021 IEEE 25th International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021

In the past decades, a broad range of technological innovations have helped organizations reach new levels of performance and have shaped the economies of the world and societies of the future. However, unexpected events, such as the COVID-19 pandemi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::288a1683ce8d1a89492a7fcad7bbcb86
http://www.scopus.com/inward/record.url?scp=85123015336&partnerID=8YFLogxK

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Designing Intelligence Amplification: Organizing a Design Canvas Workshop

Autor: Jean Paul Sebastian Piest, Maria Eugenia Iacob, Marcel Wouterse

Publikováno v: Accelerating Open Access Science in Human Factors Engineering and Human-Centered Computing, 68, 247-251

Based on the related paper about the design of intelligence amplification, in which a design canvas and design principles are introduced, this poster provides researchers, practitioners, and trainers practical guidance to organize a design canvas wor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f09b6976e5fce6f761d3a9a997c69303
https://doi.org/10.54941/ahfe1002739

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An Industry Platform for Data-driven Logistics in Small and Medium-sized Enterprises

Autor: Jean Paul Sebastian Piest

Whereas real-time data nowadays is widely available and advanced data-driven approaches are emerging, organizations in the Dutch logistics industry, in particular Small and Medium-sized Enterprises (SMEs), lack the expertise to effectively identify w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b640c499b1e08d9c6d919ea3282bf5d
https://doi.org/10.3990/1.9789036553650

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A Reinforcement Learning Platform for Small and Medium-sized Enterprises in Logistics

Autor: Jean Paul Sebastian Piest, Maria-Eugenia Iacob, Marten van Sinderen, Martijn Gemmink, Bjorn Goossens

Publikováno v: 2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW), 289-298
STARTPAGE=289;ENDPAGE=298;TITLE=2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW)

While real-time data and sophisticated Reinforcement Learning (RL) approaches are emerging, logistic organizations, in particular Small and Medium-sized Enterprises (SMEs), lack the tools and expertise to effectively identify whether (parts of) their

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::273e443f1c27472c6f73f6588f7a1089
https://research.utwente.nl/en/publications/aa3dd69d-99de-47a6-aac5-a093e0f86b8f

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Evaluating the Use of the Open Trip Model for Process Mining

Autor: Faiza Allah Bukhsh, Jean Paul Sebastian Piest, Rob Bemthuis, Jennifer Alice Cutinha

Publikováno v: ICEIS (1)
Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS), 1, 290-296

When aggregating logistic event data from different supply chain actors and information systems for process mining, interoperability, data loss, and data quality are common challenges. This position paper proposes and evaluates the use of the Open Tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31e3cbde049d07713195557b290f6d16
https://doi.org/10.5220/0010477702900296

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Demonstrating the Architecture for Situation-aware Logistics using Smart Returnable Assets

Autor: Gilang Charismadiptya, Jean Paul Sebastian Piest, Rob Bemthuis

Publikováno v: EDOC Workshops
IEEE 24th International Enterprise Distributed Object Computing Workshop, EDOCW 2020, 86-90
STARTPAGE=86;ENDPAGE=90;TITLE=IEEE 24th International Enterprise Distributed Object Computing Workshop, EDOCW 2020

Building on earlier work, this paper aims to demonstrate and discuss an instantiated architecture for situation-aware logistics in an operational environment using smart returnable assets. The demonstration is based on a motivation scenario focusing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83d9111e9d0601cb22ec0d58b641ee90
https://doi.org/10.1109/edocw49879.2020.00024

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Assessing Resilience in Enterprise Architecture: A Systematic Review

Autor: Maya Daneva, Adina Aldea, Egle Vaicekauskaite, Jean Paul Sebastian Piest

Publikováno v: EDOC
2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)

This review paper aims to explore state-of-the-art research and scientific literature about Enterprise Architecture (EA) resilience. Based on a systematic literature review, 850 articles have been subjected to evaluation for relevance. Based on the f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e840c6d54c8c0006dae05efcaa0ec26
https://doi.org/10.1109/edoc49727.2020.00011

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A platform architecture for industry 4.0 driven intelligence amplification in logistics

Autor: Jean Paul Sebastian Piest

Publikováno v: Proceedings-2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop, EDOCW 2019, 174-178
STARTPAGE=174;ENDPAGE=178;TITLE=Proceedings-2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop, EDOCW 2019
2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW), 174-178
STARTPAGE=174;ENDPAGE=178;TITLE=2019 IEEE 23rd International Enterprise Distributed Object Computing Workshop (EDOCW)
EDOC Workshops

The aim of this doctoral consortium paper is to introduce my doctoral research proposal in the field of enterprise computing. The scientific problem that I address in my research is the limited usage of real-time data, originating from Industry 4.0 (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85f5305ba7cd22310cec09fbf1cc0da7
https://research.utwente.nl/en/publications/a-platform-architecture-for-industry-40-driven-intelligence-amplification-in-logistics(19f1af8a-bf24-463f-939a-4f00c546df2b).html

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An architecture for Situation-aware Smart Logistics

Autor: Maria-Eugenia Iacob, Marten van Sinderen, Gilang Charismadiptya, Jean Paul Sebastian Piest

Publikováno v: ISSUE=10;STARTPAGE=108;ENDPAGE=117;TITLE=10th SOEA4EE Workshop
EDOC Workshops

Disruptions and exceptions are an important source of risks in logistics, as far as the planning of transportation services is concerned. Failing to rapidly react on and handle such events may lead to serious depreciation of the transported cargo and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f7be6fdb1bb30713e9333b2d2e431b0
https://doi.org/10.1109/edocw.2019.00030

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