FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1805513732> ?p ?o ?g. }

• W1805513732 endingPage "81" @default.
• W1805513732 startingPage "67" @default.
• W1805513732 abstract "We rely on biological immunity to suggest a knowledge-based approach.Immunity provides concepts and mechanisms to model, represent and deal with disruptions and risks.We implement the knowledge-based approach using ontologies and a multi-agent system.We consider a case study from the steel industry.We show how the approach detects a machine failure, identifies inventory, production and quality risks, and suggests reaction decisions. Manufacturing systems are subject to several kinds of disruptions and risks, which may break the continuity of workflows, disturb pre-set organization, and prevent the production system from reaching its expected levels of performance. Several approaches were proposed to deal with manufacturing system disruptions and risks. Unfortunately, most of them focus more on explaining the causes of the disruption/risk, rather than on determining disruption/risk effects on workflows, pre-set organization and expected performance. Existing approaches usually operate off-line, thus missing current and accurate data about plant activities and changing conditions. Most of them do not offer concepts that allow the design of computerized tools dedicated to disruption/risk monitoring and control. In this paper, we rely on biological immunity to guide the design of a knowledge-based approach, and to use it to monitor disruptions and risks in manufacturing systems. The suggested approach involves functions specifically dedicated to deal with a variety of disruptions and risks, such as detection, identification of consequences and reaction to disruptions. This architecture is intended to be embedded within industrial information and decision support systems, such as ERP (ź Enterprise Resource Planning ź) and MES (ź Manufacturing Execution System ź). A prototype implementation using ontologies and multi-agent systems shows the relevance of the suggested approach in monitoring disruptions and risks. A simplified example from the steel industry illustrates the kind of support that can be provided to decision makers." @default.
• W1805513732 created "2016-06-24" @default.
• W1805513732 creator A5010213788 @default.
• W1805513732 creator A5047787684 @default.
• W1805513732 creator A5053359209 @default.
• W1805513732 creator A5087640598 @default.
• W1805513732 date "2016-09-01" @default.
• W1805513732 modified "2023-10-13" @default.
• W1805513732 title "Using immune designed ontologies to monitor disruptions in manufacturing systems" @default.
• W1805513732 cites W1966782268 @default.
• W1805513732 cites W1973585648 @default.
• W1805513732 cites W1977542736 @default.
• W1805513732 cites W1981523412 @default.
• W1805513732 cites W1981932944 @default.
• W1805513732 cites W1983277437 @default.
• W1805513732 cites W1983874844 @default.
• W1805513732 cites W1987921373 @default.
• W1805513732 cites W1993384896 @default.
• W1805513732 cites W1999625849 @default.
• W1805513732 cites W2001807708 @default.
• W1805513732 cites W2005683584 @default.
• W1805513732 cites W2010725334 @default.
• W1805513732 cites W2014836995 @default.
• W1805513732 cites W2016649354 @default.
• W1805513732 cites W2016716224 @default.
• W1805513732 cites W2029342160 @default.
• W1805513732 cites W2029417530 @default.
• W1805513732 cites W2030395122 @default.
• W1805513732 cites W2034244484 @default.
• W1805513732 cites W2036280267 @default.
• W1805513732 cites W2037708529 @default.
• W1805513732 cites W2039484621 @default.
• W1805513732 cites W2039973395 @default.
• W1805513732 cites W2041152494 @default.
• W1805513732 cites W2045186954 @default.
• W1805513732 cites W2050082881 @default.
• W1805513732 cites W2052956672 @default.
• W1805513732 cites W2054833986 @default.
• W1805513732 cites W2063299650 @default.
• W1805513732 cites W2068645132 @default.
• W1805513732 cites W2070129728 @default.
• W1805513732 cites W2072346096 @default.
• W1805513732 cites W2074063818 @default.
• W1805513732 cites W2080048506 @default.
• W1805513732 cites W2080184290 @default.
• W1805513732 cites W2081363555 @default.
• W1805513732 cites W2082443476 @default.
• W1805513732 cites W2087537958 @default.
• W1805513732 cites W2089033285 @default.
• W1805513732 cites W2091240819 @default.
• W1805513732 cites W2092437315 @default.
• W1805513732 cites W2101254989 @default.
• W1805513732 cites W2102388977 @default.
• W1805513732 cites W2107676921 @default.
• W1805513732 cites W2120191631 @default.
• W1805513732 cites W2154829072 @default.
• W1805513732 cites W2158641068 @default.
• W1805513732 cites W2160530720 @default.
• W1805513732 cites W2242385341 @default.
• W1805513732 cites W2346806446 @default.
• W1805513732 cites W2508346077 @default.
• W1805513732 doi "https://doi.org/10.1016/j.compind.2015.09.004" @default.
• W1805513732 hasPublicationYear "2016" @default.
• W1805513732 type Work @default.
• W1805513732 sameAs 1805513732 @default.
• W1805513732 citedByCount "25" @default.
• W1805513732 countsByYear W18055137322016 @default.
• W1805513732 countsByYear W18055137322017 @default.
• W1805513732 countsByYear W18055137322018 @default.
• W1805513732 countsByYear W18055137322019 @default.
• W1805513732 countsByYear W18055137322020 @default.
• W1805513732 countsByYear W18055137322021 @default.
• W1805513732 countsByYear W18055137322022 @default.
• W1805513732 countsByYear W18055137322023 @default.
• W1805513732 crossrefType "journal-article" @default.
• W1805513732 hasAuthorship W1805513732A5010213788 @default.
• W1805513732 hasAuthorship W1805513732A5047787684 @default.
• W1805513732 hasAuthorship W1805513732A5053359209 @default.
• W1805513732 hasAuthorship W1805513732A5087640598 @default.
• W1805513732 hasConcept C115903868 @default.
• W1805513732 hasConcept C117671659 @default.
• W1805513732 hasConcept C127413603 @default.
• W1805513732 hasConcept C201995342 @default.
• W1805513732 hasConcept C41008148 @default.
• W1805513732 hasConceptScore W1805513732C115903868 @default.
• W1805513732 hasConceptScore W1805513732C117671659 @default.
• W1805513732 hasConceptScore W1805513732C127413603 @default.
• W1805513732 hasConceptScore W1805513732C201995342 @default.
• W1805513732 hasConceptScore W1805513732C41008148 @default.
• W1805513732 hasLocation W18055137321 @default.
• W1805513732 hasOpenAccess W1805513732 @default.
• W1805513732 hasPrimaryLocation W18055137321 @default.
• W1805513732 hasRelatedWork W1457512362 @default.
• W1805513732 hasRelatedWork W2037606917 @default.
• W1805513732 hasRelatedWork W2144179818 @default.
• W1805513732 hasRelatedWork W2350180741 @default.
• W1805513732 hasRelatedWork W2358927215 @default.
• W1805513732 hasRelatedWork W2367857902 @default.

• next