2018
DOI: 10.1016/j.jclepro.2018.01.173
|View full text |Cite
|
Sign up to set email alerts
|

Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
50
1
1

Year Published

2018
2018
2023
2023

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 116 publications
(59 citation statements)
references
References 70 publications
2
50
1
1
Order By: Relevance
“…Logistykę 4.0 charakteryzuje wykorzystanie Internetu rzeczy, systemów cyber-fizycznych [16], systemów ITS [17], dronów, robotów i pojazdów autonomicznych [18], użycie internetowych portali B2B [19] oraz rzeczywistości rozszerzonej [20], inteligentne zarządzanie samochodami ciężarowymi, obszarami dostaw, transportem multimodalnym, a także obszarami parkingowymi.…”
Section: Logistyka 40unclassified
“…Logistykę 4.0 charakteryzuje wykorzystanie Internetu rzeczy, systemów cyber-fizycznych [16], systemów ITS [17], dronów, robotów i pojazdów autonomicznych [18], użycie internetowych portali B2B [19] oraz rzeczywistości rozszerzonej [20], inteligentne zarządzanie samochodami ciężarowymi, obszarami dostaw, transportem multimodalnym, a także obszarami parkingowymi.…”
Section: Logistyka 40unclassified
“…vehicles to the SC ecosystem. A framework is always the first step for the integration of innovative solutions [3], [4] in real-world operations to extensively study the effects to the whole ecosystem.…”
Section: Dimitrios Bechtsis Naoum Tsolakismentioning
confidence: 99%
“…• the enhanced accuracy in daily activities, and • the improved safety at industrial facilities. The use of autonomous vehicles in conjunction with the Internet of Things in the SC ecosystem ensures efficient and effective operations [3].…”
Section: Introductionmentioning
confidence: 99%
“…Regarding water management in agricultural systems, the use of sensors to determine the water needs of crops compared to classical sampling-based techniques is recommended, as their application: (i) saves time; (ii) is not laborious and (iii) is feasible for large-scale farming [18]. These sensors can either be deployed at field/soil for informing intelligent irrigation systems [19] or be mounted on automated guided vehicles that perform farming operations to recognise the specific freshwater requirements of individual plants [20].…”
Section: Introductionmentioning
confidence: 99%