Quality Improvement of Product Data Exchanged Between Engineering and Production Through the Integration of Dedicated Information Systems

Kheder, Anis Ben; Henry, Sébastien; Bouras, Abdelaziz

doi:10.1115/esda2012-82914

Cited by 4 publications

(9 citation statements)

References 12 publications

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“…As presented in [1], data quality constitutes one of the purposes of knowledge management models. Since enterprise knowledge is often unearthed from corporate data, data quality plays an important role in the presented models.…”

Section: Related Workmentioning

confidence: 99%

“…Most models use widely known ontologies such as STEP, CPM, Onto-PDM and TOVE [1,2,7,8]. With these ontologies and others built from within the projects, the models cover many concepts considered unrelated to PLM such as customer data.…”

Section: Data Integrationmentioning

confidence: 99%

“…Since enterprise knowledge is often unearthed from corporate data, data quality plays an important role in the presented models. Certain models extend their coverage of PLM and reach out to other process-centric paradigms such as Manufacturing Execution Systems (MES) [1,7], Enterprise Resource Planning (ERP) [1] and Customer Relationship Management (CRM) [8], forming a synergy that would increase even more the potential of sustainable growth in revenue, profitability and market share. Proposed methods use various semantic exchange mechanisms such as mediation web services [1,9], Service-Oriented Architecture (SOA) semantic services [6,9], intelligent agents [2,10], Extraction, Transformation and Load (ETL) [4,11] and Enterprise Application Integration (EAI) message broadcasting [5] to resolve the syntactic and semantic heterogeneity between the systems.…”

Section: Related Workmentioning

confidence: 99%

“…Table 1 synthesizes these knowledge management functions as described in the cited literature. A mediation approach to resolve syntactic and semantic heterogeneities between business processes [1]. Knowledge extraction Applications can extract information from unstructured and semi-structured data, Information is grouped and ultimately forms unit of knowledge.…”

Section: Related Workmentioning

confidence: 99%

“…Interoperability between PLM, Customer Relationship Management (CRM), Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES) is also required to provide better process efficiency and customer satisfaction. These information systems need to be integrated in order to satisfy data quality requirements [1].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Reference Architecture for an Enterprise Knowledge Infrastructure

Fitzpatrick

Coallier

Ratté

2013

Product Lifecycle Management for Society

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Abstract. With the emergence of social media, data available for market analytics has grown significantly, especially in the context of product lifecycle value analysis. Existing architecture frameworks do not support knowledge management, required to process massive amount of market data, or 'big data'. In order to perform product lifecycle value analysis, product managers need to access, in a seamless manner, data from several domains from systems within the organization and from external sources such as social media, government and industry sites, to name a few. The structured and integrated data must then be transformed into information, or contextualized data, and ultimately into actionable information or knowledge. To achieve this objective, this paper proposes an innovative approach, the Reference Architecture of an Enterprise Knowledge Infrastructure (RA-EKI) that provides a holistic approach to manage the complete knowledge lifecycle.

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Section: Related Workmentioning

confidence: 99%

Section: Data Integrationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Reference Architecture for an Enterprise Knowledge Infrastructure

Fitzpatrick

Coallier

Ratté

2013

Product Lifecycle Management for Society

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An integrated engineering change management process model for a project-based manufacturing

Han

Lee

Nyamsuren

2014

International Journal of Computer Integrated Manufacturing

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In a project-based ETO (Engineering-To-Order) industry, design, purchasing, production and quality processes are closely integrated to meet a delivery schedule, cost limitation and quality specification. When an engineering change occurs in a project execution stage, miscommunication of design change may generate a significant cost and delay. This paper suggests a model to capture a design change and share activities for processing change done by each stakeholder. The framework also captures ECR (Engineering Change Request), ECO (Engineering Change Order) and a relationship among them with a result of processes. The data could be used for analysing defects of each process, improving a design quality, and a plan for cost reduction. For capturing, sharing and monitoring every change of drawing element and BOM (Bill of Materials), the model extracts a drawing and BOM from a product structure of a 3D CAD (Computer-Aided Design) system. Extracted data are sent to PLM (Product Life-Cycle Management)/ERP (Enterprise Resource Planning) system for planning, purchasing, manufacturing and quality control processes.Keywords: engineering change management; CAD-PLM/ERP integration; design process for multi-concurrent project-based manufacturing; project-based design and manufacturing IntroductionUnlike MTS (Make-to-stock), ATS (Assemble-to-Order) and MTO (Make-to-Order) industry, the processes in projects are always carried out with limited time and resources according to a characteristic of project-based industry. Sometimes, design and manufacturing processes are proceeded almost concurrently to meet a delivery schedule because manufacturing design is carried out according to the product specifications after the contract has been made. After a manufacturing operation starts, a design revision will be treated in a more sophisticated manner because there will be more constraints of design change in this stage. A design change can be occurred by a customer's request, a status of material supply and an interference with other design divisions. The application deadline occurs concurrently or with a very short lead time. During this stage, if misleading change information is delivered to the stakeholders at a post-stage, it will cause significant project loss and quality issue. Therefore, it is necessary to have a functional and procedural ECM (Engineering Change Management) model different from a model applied to a traditional manufacturing strategy.Currently, material production, drawing and BOM (Bill of Materials) provided by an engineer are produced via a CAD (Computer-Aided Design) system. In order to utilise such product information in manufacturing or

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Data-Based Fault Diagnosis Model Using a Bayesian Causal Analysis Framework

Diallo

Henry

Ouzrout

et al. 2018

Int. J. Info. Tech. Dec. Mak.

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This paper provides a comprehensive data-driven diagnosis approach applicable to complex manufacturing industries. The proposed approach is based on the Bayesian network paradigm. Both the implementation of the Bayesian model (the structure and parameters of the network) and the use of the resulting model for diagnosis are presented. The construction of the structure taking into account the issue related to the explosion in the number of variables and the determination of the network’s parameters are addressed. A diagnosis procedure using the developed Bayesian framework is proposed. In order to provide the structured data required for the construction and the usage of the diagnosis model, a unitary traceability data model is proposed and its use for forward and backward traceability is explained. Finally, an industrial benchmark — the Tennessee Eastman process — is utilized to show the ability of the developed framework to make an accurate diagnosis.

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Quality Improvement of Product Data Exchanged Between Engineering and Production Through the Integration of Dedicated Information Systems

Cited by 4 publications

References 12 publications

A Reference Architecture for an Enterprise Knowledge Infrastructure

A Reference Architecture for an Enterprise Knowledge Infrastructure

An integrated engineering change management process model for a project-based manufacturing

Data-Based Fault Diagnosis Model Using a Bayesian Causal Analysis Framework

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