A classification schema of manufacturing decisions for the GRAI enterprise modelling technique

McCarthy, Ian P.; Menicou, Michalis

doi:10.1016/s0166-3615(02)00002-7

Cited by 16 publications

(8 citation statements)

References 16 publications

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“…Illustrates information flow along with constraints and mechanism which affect system functions; developed from the Structural Analysis and Design Technique (SADT) approach [11,34,[27][28][29][30][31][32][33][34][35][36] Graphes à Résultats et Activités Interreliés (GRAI) grids and nets Supports information flow in decision communication, feedback and review; part of the GRAI methodology [25,34,[37][38][39][40][41][42][43] Petri nets Represents automated and event-driven information flow in systems; [44][45][46][47][48][49][50][51] Input-process-output (IPO) diagrams…”

Section: Diagrammatic Information Flow Toolsmentioning

confidence: 99%

“…The GRAI (Graphes à Résultats et Activités Interreliés) Engineering method was developed by GRAI Laboratory at the University of Bordeaux in the 1970s [37,38]. Figure 3 shows the GRAI Modelling Technique which is based on a hierarchical conceptual model (the GRAI model) for supporting decision-making processes during manufacturing and establishing information flow for facilitating these decisions [37][38][39][40]. In [38], the GRAI model is divided into two parts: a macrostructure which displays the architecture of the overall system arranged in a hierarchy and a microstructure for system components which are identified in the macrostructure.…”

Section: Grai Grids and Netsmentioning

confidence: 99%

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A review of information flow diagrammatic models for product–service systems

Durugbo

Tiwari

Alcock

2010

Int J Adv Manuf Technol

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A product-service system (PSS) is a combination of products and services to create value for both customers and manufacturers. Modelling a PSS based on function orientation offers a useful way to distinguish system inputs and outputs with regards to how data are consumed and information is used, i.e. information flow. This article presents a review of diagrammatic information flow tools, which are designed to describe a system through its functions. The origin, concept and applications of these tools are investigated, followed by an analysis of information flow modelling with regards to key PSS properties. A case study of selection laser melting technology implemented as PSS will then be used to show the application of information flow modelling for PSS design. A discussion based on the usefulness of the tools in modelling the key elements of PSS and possible future research directions are also presented.

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Section: Diagrammatic Information Flow Toolsmentioning

confidence: 99%

Section: Grai Grids and Netsmentioning

confidence: 99%

A review of information flow diagrammatic models for product–service systems

Durugbo

Tiwari

Alcock

2010

Int J Adv Manuf Technol

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“…Partly in response to this, a number of enterprise modelling and related techniques have emerged to help the reuse of manufacturing knowledge. For example, GRAL as a modelling approach uses effective decision structure to describe and design business processes for factory design, but it cannot effectively identify the decision domains, processes and resources involved (McCarthy and Menicou, 2002). In addition, an integration system including Model Driven Architecture (MDA), Model Driven Interoperability (MDI) and ontology development methods have been used to enhance rapid system reconfiguration and interoperability.…”

Section: Incom 2015mentioning

confidence: 99%

Integrated Ontologies in Support of Factory Systems Design

Zhang

Agyapong-Kodua

2015

IFAC-PapersOnLine

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Digital factory modelling based on virtual design and simulation has emerged as part of the mainstream activities geared towards reducing product design cycle. Some basic industrial systems are currently integrated via semantic modelling technologies so that products matching processes and resource requirements are integrated to fulfil customer demands. Despite these achievements, product design is still dependent on the knowledge of designers and do not benefit from existing process and resource knowledge, which are in separate domains. This paper therefore presents an integration method based on semantic technologies and PPR ontologies to enable the reuse of known and unknown knowledge. The method relies on the use of cloud manufacturing to improve the efficiency of responses generated by querying the PPR ontology.

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“…This is because metrics provide data refinement and a means of distilling the volume of data while simultaneously increasing its information richness. Operations need these functions in order to operate effectively and efficiently on a day-to-day basis (for more detailed and comprehensive discussion on metrics see Melnyk, Stewart, & Swink, 2004;McCarthy & Menicou, 2002;Ducq & Vallespir, 2005).…”

Section: Introductionmentioning

confidence: 99%