Dynamic Decision Making on Embedded Platforms in Transport Logistics – A Case Study

Jedermann, Reiner; Congil, Luis Javier Antúnez; Lorenz, Martin; Gehrke, Jan D.; Lang, Walter; Herzog, Otthein

doi:10.1007/978-3-540-76862-3_18

Cited by 3 publications

(4 citation statements)

References 16 publications

(14 reference statements)

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“…First attempts at usage of autonomous decision systems in relatively simple or well structured environments, represented for example by logistic processes (Jedermann et al, 2007), supply chain simulations (Keller, Duguay & Precup, 2004), computer networks, health care networks and, undoubtedly, by military operations may serve as a baseline for future progress in the presented field.…”

Section: Decision Support Technologiesmentioning

confidence: 99%

Multi-Criteria Models in Autonomous Decision Making Systems

Merritt¹

2009

Proceedings of the International Symposium on the Analytic Hierarchy Process

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Decision making processes, based on various multi-criteria models are considered. The main differences between AHP (Analytic Hierarchy Process), ANP (Analytic Network Process) and CHP (Cognitive Hierarchy process) methods will be discussed. The possible use of referred methods for decision support in autonomous systems will be proposed and strong and week points of the methods will be experimentally demonstrated on on-line decisional problem.

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Section: Decision Support Technologiesmentioning

confidence: 99%

Multi-Criteria Models in Autonomous Decision Making Systems

Merritt¹

2009

Proceedings of the International Symposium on the Analytic Hierarchy Process

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“…Out-of-stock (OOS) situations may be avoided by automated positioning and warehouse management solutions (Gaßner and Bovenschulte 2009). Especially for critical goods such as foods or medicine, quality assurance (Jedermann et al 2008), product pedigree and history traceability can be enabled using the Internet of Things. Protection against product theft and plagiarism (Staake et al 2005) based on unique identification and positioning technologies is another example.…”

Section: The Internet Of Things In Logisticsmentioning

confidence: 99%

“…An example of the convergence of the concepts of the Internet of Things and autonomous cooperating logistics processes can be found in the use of software agents to implement information processing and decision taking entities (Timm 2006) for logistics processes, as described in Trautmann (2007) and Jedermann et al (2008). In combination with an appropriate solution to mapping software agents as "digital counterparts" to physical logistics objects, using the autoidentification technology, middleware and standards of, for instance, EPCglobal (EPCglobal 2009) or ID@URI/Dialog (Främling et al 2006), a foundation for an "Internet of Things for logistics" may be laid.…”

Section: Introductionmentioning

confidence: 99%

A Service-oriented, Semantic Approach to Data Integration for an Internet of Things Supporting Autonomous Cooperating Logistics Processes

Hribernik¹,

Hans²,

Kramer³

et al. 2011

Architecting the Internet of Things

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The core vision put forward by the Internet of Things of networked, intelligent objects capable of taking autonomous decisions based on decentral information processing resonates strongly with research in the field of autonomous cooperating logistics processes. The characteristics of the IT landscape underlying autonomous cooperating logistics processes pose a number of challenges towards data integration. The heterogeneity of the data sources, their highly distributed nature along with their availability, make the application of traditional approaches problematic. The field of semantic data integration offers potential solutions to address these issues. This contribution aims to examine in what way an adequate approach towards data integration may be facilitated on that basis. It subsequently proposes a service-oriented, ontology-based mediation approach to data integration for an Internet of Things supporting autonomous cooperating logistics processes.

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“…The route suggestions are assessed based on the degree to which they have fulfilled their goal to minimize the total driving time and strongly avoid zero shelf life products. A first performance test has shown that it is feasible to organize to route planning by this divided planning approach [23].…”

Section: Dividing the Route Planning Processmentioning

confidence: 99%

The Benefits of Embedded Intelligence – Tasks and Applications for Ubiquitous Computing in Logistics

Jedermann

Lang

The Internet of Things

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Abstract. The concept of autonomous cooperating processes is an approach to solve complex logistical planning tasks by representing each object in the transport chain by a separate independent software unit. In general, these software units or agents are applied in a server network. Technologies from the field of the Internet of Things like wireless communication and RFID enable that software execution can be shifted to deeper system layers, even at the level of single freight items. This article examines the ancillary conditions and consequences of this shift. It focuses on whether the introduction of the intelligent parcel or vehicle is advantageous compared to server based planning. The second half of this article describes transport logistic examples for networks of autonomous objects with embedded intelligence.

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Dynamic Decision Making on Embedded Platforms in Transport Logistics – A Case Study

Cited by 3 publications

References 16 publications

Multi-Criteria Models in Autonomous Decision Making Systems

Multi-Criteria Models in Autonomous Decision Making Systems

A Service-oriented, Semantic Approach to Data Integration for an Internet of Things Supporting Autonomous Cooperating Logistics Processes

The Benefits of Embedded Intelligence – Tasks and Applications for Ubiquitous Computing in Logistics

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