Autonomous Control in Logistics

Schuldt, Arne

doi:10.1007/978-3-642-20092-2_3

Cited by 5 publications

(7 citation statements)

References 24 publications

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“…On the one hand, there is the 'classic' view adapted from CC with the layers of IaaS/PaaS/SaaS that could be extended with a layer on domain-specific logistics services (i.e. Business ProcessaaS [26], Process-aaS [37], SCaaS [38]). This view comes with difficulties, as computational resources are getting less physical from IaaS to SaaS but the domain specific layer on top again builds on other physical resources.…”

Section: A Systematic Literature Reviewmentioning

confidence: 99%

“…While on the one hand, a business ontology [24] or semantic data mediators [37] are just mentioned, on the other hand ontologies based on resource classification [27] and conceptualization of physical resources [33] are presented. However, the both ontologies differ a lot and do not seem to rely on literature nor on proper ontology engineering.…”

Section: A Systematic Literature Reviewmentioning

confidence: 99%

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Go with the Flow - Design of Cloud Logistics Service Blueprints

Glöckner

Ludwig

Franczyk

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Abstract-By adopting principles of cloud computing to the logistics domain the paradigm of Cloud Logistics is derived. It appears to be a promising paradigm in order to evolve logistics into being more flexible and collaborative. Yet, appropriate concepts that enable the cloud logistics paradigm are missing. In the paper, existing body of literature is reviewed and a definition and a framework of cloud logistics is given. Further, service blueprinting is combined with domain engineering and general morphological analysis in order to create a suitable method for designing cloud oriented service blueprints. Those are focusing on domain-specific flows and transformations enabling cloud oriented business collaboration. The method is applied to the logistics domain and a cloud logistics service blueprint is designed. Finally, the concept is evaluated with real use cases from logistics service providers.

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Section: A Systematic Literature Reviewmentioning

confidence: 99%

Section: A Systematic Literature Reviewmentioning

confidence: 99%

Go with the Flow - Design of Cloud Logistics Service Blueprints

Glöckner

Ludwig

Franczyk

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…Nevertheless, this has not been examined nor applied to port terminal operations such as the container consolidation. In particular, Schuldt et al [10] identified the potential of cloud computing to facilitate autonomous control in logistics and allow for scaling autonomous logistics applications based on dynamically arising logistics demands. A fourlayer architecture is suggested:…”

Section:  Port Community Systems: According To the Definition Of Thementioning

confidence: 99%

Cloud computing for a dynamic and synchromodal container consolidation

Tsertou¹,

Amditis²,

Θεοδωρόπουλος³

et al. 2016

WIT Transactions on the Built Environment

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Since the container became the driver of change in worldwide freight transport, the optimal utilization of container capacities has become a key challenge of the supply chain management. Often, fragments of customer orders arrive at their destination via different, sub-optimal routes which impose increased delivery times, costs and CO 2 emissions to the global supply chain. A barrier to efficient container consolidation at port terminals is the reduced visibility and limited information exchange between stakeholders on real-time location and status of a container and its contents. This is due to a multitude of reasons: the lack of a common standard for information exchange, competition matters, absence of trusted service providers collecting data, information shared on a next carrier basis without disseminating information to the rest of the stakeholders. In addition, multimodal transport involves many carriers until the goods reach their final destination. Well-defined trigger points regarding cargo will allow for better monitoring of shipments and the introduction of KPIs for route evaluation and carrier performance. This work proposes a cloud-based information portal as an ICT enabling technology used by supply chain stakeholders; the latter will use this portal to feed it with real-time information from existing platforms so that a better visibility for all parties is enabled. This portal will permit better visibility for end-customers, promote standardization of logistics processes, offer an increased profitability for cloud services providers, improve their activities expansion and accelerate customs related process handling.

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“…Therefore, reorganization of traditional logistics is imposed as a priority [20]. CC allows scaling autonomous logistics applications flexibly based on the dynamically arising logistics demands.…”

Section: Opportunities Of Cloud Computing In Logisticsmentioning

confidence: 99%

Cloud Computing Applications in Global Logistics Information System Infrastructure

Ильин¹,

Simić²,

Svirčević³

et al. 2013

JTTE

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Information and communication technology (ICT) and systems are essential for every business. They can be used in retail, manufacturing and other industries. Nevertheless, new and innovative ideas and solutions are constantly emerging and introducing new possibilities for the reorganization of traditional logistics processes. Particularly, attention is given to basic concept of CC (cloud computing) service models and opportunities in logistics. This paper provides comprehensive review and comparison of different ICT solutions and CC applications. As a new and cutting-edge technology, CC is changing the form and function of information technology infrastructures making supply chain information collaboration easy and feasible. It can also be an enabler of fully electronic logistics management systems. Adoption of CC concept involves strong hardware support, good internet connectivity and implied reorganization of traditional business activities.

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Autonomous Control in Logistics

Cited by 5 publications

References 24 publications

Go with the Flow - Design of Cloud Logistics Service Blueprints

Go with the Flow - Design of Cloud Logistics Service Blueprints

Cloud computing for a dynamic and synchromodal container consolidation

Cloud Computing Applications in Global Logistics Information System Infrastructure

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