Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Benno Gerlach"'
Publikováno v:
Tehnički Glasnik, Vol 17, Iss 3, Pp 405-413 (2023)
Current trends in urban areas pose several challenges to city logistics stakeholders while also offering opportunities for optimization. With its analytics, modelling and simulation capabilities, the Digital Supply Chain Twin (DSCT) technology provid
Externí odkaz:
https://doaj.org/article/fb6df0445a9b439995bf74f3f0462429
Autor:
Tom Binsfeld, Benno Gerlach
Publikováno v:
Logistics, Vol 6, Iss 3, p 46 (2022)
Background: Digital supply chain twins (DSCT) are gaining increased attention in academia and practice and their positive impact on logistics and supply chain management (LSCM) performance is often highlighted. Still, LSCM executives are hesitant reg
Externí odkaz:
https://doaj.org/article/d8a76b35916f4ef0aefa8419c5e07860
Publikováno v:
Logistics, Vol 5, Iss 4, p 86 (2021)
Background: Digital supply chain twins (DSCT) are gaining increased attention in academia and practice as they emerge as one of the most important trends in logistics and supply chain management (LSCM). Still, there seems to be no common understandin
Externí odkaz:
https://doaj.org/article/af50072547e44086a9df2128410b9037
Autor:
Anselm Busse, Benno Gerlach, Joel Cedric Lengeling, Peter Poschmann, Johannes Werner, Simon Zarnitz
Publikováno v:
Logistics, Vol 5, Iss 2, p 25 (2021)
Both modern multi- and intermodal supply chains pose a significant challenge to control and maintain while offering numerous optimization potential. Digital Twins have been proposed to improve supply chains. However, as of today, they are only used f
Externí odkaz:
https://doaj.org/article/01c1dce20b8a4b518f1457d71c316953
Publikováno v:
Logistics, Vol 4, Iss 1, p 5 (2020)
While supply chain analytics shows promise regarding value, benefits, and increase in performance for logistics and supply chain management (LSCM) organizations, those organizations are often either reluctant to invest or unable to achieve the return
Externí odkaz:
https://doaj.org/article/f350540a5fd34ed999689ef3fa6b7408
Publikováno v:
Logistics
Volume 4
Issue 1
Logistics, Vol 4, Iss 1, p 5 (2020)
Volume 4
Issue 1
Logistics, Vol 4, Iss 1, p 5 (2020)
While supply chain analytics shows promise regarding value, benefits, and increase in performance for logistics and supply chain management (LSCM) organizations, those organizations are often either reluctant to invest or unable to achieve the return
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f55d8dfff2fee9aefeea011b477bb85d
https://doi.org/10.3390/logistics4010005
https://doi.org/10.3390/logistics4010005
Publikováno v:
Technical Journal / Tehnički Glasnik; Sep2023, Vol. 17 Issue 3, p405-413, 9p
Autor:
Yuan, Xue-Ming, Xue, Anrong
Publikováno v:
Logistics (2305-6290); Mar2023, Vol. 7 Issue 1, p9, 4p
Autor:
Binsfeld, Tom, Gerlach, Benno
Publikováno v:
Logistics (2305-6290); Sep2022, Vol. 6 Issue 3, p46-N.PAG, 23p
This book comprehensively discusses nature‑inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the
