Industry 4.0 and the current status as well as future prospects on logistics
By Erik Hofmann, Marco Rüsch. Computers in industry (Print), 2017
1,535 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/3f3f679751e4c0f43af2be3243f00d91a607ea16
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Dmitry A. Ivanov
- Gerd J. Hahn
- Joseph Sarkis
- Boris V. Sokolov
- Alexandre Dolgui
- Marco Perona
- Andrea Bacchetti
- Ting Zheng
In Management of Technology and Innovation
- Gerd J. Hahn
- J. M. Maqueira‐Marín
- J. Garza‐Reyes
- José Moyano‐Fuentes
- Pedro José Martínez-Jurado
- Charbel José Chiappetta Jabbour
- Marco Perona
- Edmundas Kazimieras Zavadskas
Citations in the corpus
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “Indeed, incoming materials fitted with Auto-ID tags can be controlled by employees using scanning devices or automatic gate control systems (Hofmann and Rüsch 2017).”
- The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018, background): “…studies by Sha fi q et al. (2015), Oesterreich and Teuteberg (2016), Nayak et al. (2016), Klünder, Reder, and Steven (2016) Moghaddam and Nof (2017), Hofmann and Rüsch (2017) provide evidence of demand and manufacturing fl exibility increases, product diversi fi cation, higher market responsiveness,…”
- Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era (2020, background): “Technology trends referring to an AI-centric smart city, which could a ff ect (or be a ff ected by) future mobility, such as the IoT, PI and Industry 4.0, are becoming increasingly relevant [24] and will also be considered through a transport-oriented lens herein.”
- A supply chain transparency and sustainability technology appraisal model for blockchain technology (2019, background): “Blockchain technology has the potential to revolutionise business models in many economic sectors, especially logistics and supply chain management (Hofmann and Rüsch 2017; Kshetri 2018; Saberi, Kouhizadeh, and Sarkis 2018b).”
- Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy (2019, background): “0 is a competent approach to influence whole business processes (Hofmann and Rüsch 2017).”
- Industry 4.0: a supply chain innovation perspective (2020, background): “0 involves a multitude of interlinked technology concepts (see Hofmann and Rüsch 2017) and various emerging technologies are frequently mentioned in this context (see Rüßmann et al. 2015).”
- Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review (2020, methodology): “…information transmission between buyers and sellers enables the integration of physical flows, which affords greater agility (by reducing reaction and waiting times) and flexibility to respond to fluctuations in demand (Hofmann and Rüsch 2017; Dave et al. 2016; Roy and Roy 2019; Wang et al. 2018).”