2016
DOI: 10.1016/j.datak.2016.02.004
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Digital factory system for dynamic manufacturing network supporting networked collaborative product development

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Cited by 25 publications
(18 citation statements)
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“…ERP) [18], systems for automation and management of internal logistics (e.g. RFID) [7], new systems in the development of products and services [19], Product-Lifecycle-Management (PLM) systems [20], mobile/wireless devices for programming and operation of equipment and machinery [6], and digital solutions in production (e.g. tablets, smart phones) [6].…”
Section: Introductionmentioning
confidence: 99%
“…ERP) [18], systems for automation and management of internal logistics (e.g. RFID) [7], new systems in the development of products and services [19], Product-Lifecycle-Management (PLM) systems [20], mobile/wireless devices for programming and operation of equipment and machinery [6], and digital solutions in production (e.g. tablets, smart phones) [6].…”
Section: Introductionmentioning
confidence: 99%
“…Specifically, a modelling approach is developed to generate the target code automatically. Tchoffa et al (2016) presents a new way of combining model-based enterprise platform engineering, MDA, and system engineering in order to address the establishment of a sustainable interoperability within Dynamic manufacturing network. Lundgren, Hedlind and Kjellberg (2016) present model-based approach for integrated process planning and quality assurance, which enables new functionalities and provides more efficient support to production engineering processes.…”
Section: State Of the Art And Foundationsmentioning
confidence: 99%
“…The paper "Factory System for Dynamic Manufacturing Network supporting Networked Collaborative Product Development [14]" demonstrates, through the use of open standards that knowledge capitalization in industry aims at providing an agile infrastructure for networked collaborative product development. This paper presents a new way of combining model based enterprise platform engineering, model driven architecture, and systems engineering techniques in order to address the establishment of a sustainable interoperability.…”
Section: Knowledge Engineering For Enterprise Interoperability and Nementioning
confidence: 99%