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Computers in Industry
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2017
Data sources: DBLP
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Risk information formalisation with graphs

Authors: Kamsu-Foguem, Bernard; Tiako, Pierre;

Risk information formalisation with graphs

Abstract

The logistics is an essential economic activity that is intended to manage the physical and data flows (informative, customs and financial), in order to provide the resources corresponding to more or less determined needs in compliance with the specified economic and legal conditions (subject to the quality- of-service targets and the security and safety conditions are satisfactory). The links between formalized information, risk management in production logistics and adaptation to technological and market changes, are essential to industrial companies. In this paper, we have followed a structured approach, keeping within a formal risk management framework, for continually improving production logistics practices and procedures by experience feedback processes. The information derived from the risk assessment in production logistics is formalized by the conceptual graphs, permitting to ease the logical expressions and enhance the semantic quality of visual representation produced. The proposal is illustrated more clearly by a concrete case study of the production logistics adopted for aircraft manufacturing in an European Aeronautic Company.

Country
France
Keywords

Formal modelling, Conceptual graphs, Risk management, Production logistics, Aeronautics, 650, Gestion et management, [INFO.INFO-RO] Computer Science [cs]/Operations Research [math.OC]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
16
Top 10%
Top 10%
Top 10%
11
35
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bronze