Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs

Recent happenings are surrounding the manufacturing sector leading to intense progress towards the development of effective distributed collaborative manufacturing environments. This evolving collaborative manufacturing not only focuses on digitalisation of this environment but also necessitates ser...

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Main Authors: V. K. Manupati, M. Gokula Krishnan, M. L. R. Varela, José Machado
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Engineering
Online Access:http://dx.doi.org/10.1155/2017/9305989
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author V. K. Manupati
M. Gokula Krishnan
M. L. R. Varela
José Machado
author_facet V. K. Manupati
M. Gokula Krishnan
M. L. R. Varela
José Machado
author_sort V. K. Manupati
collection DOAJ
description Recent happenings are surrounding the manufacturing sector leading to intense progress towards the development of effective distributed collaborative manufacturing environments. This evolving collaborative manufacturing not only focuses on digitalisation of this environment but also necessitates service-dependent manufacturing system that offers an uninterrupted approach to a number of diverse, complicated, dynamic manufacturing operations management systems at a common work place (hub). This research presents a novel telefacturing based distributed manufacturing environment for recommending the manufacturing services based on the user preferences. The first step in this direction is to deploy the most advanced tools and techniques, that is, Ontology-based Protégé 5.0 software for transforming the huge stored knowledge/information into XML schema of Ontology Language (OWL) documents and Integration of Process Planning and Scheduling (IPPS) for multijobs in a collaborative manufacturing system. Thereafter, we also investigate the possibilities of allocation of skilled workers to the best feasible operations sequence. In this context, a mathematical model is formulated for the considered objectives, that is, minimization of makespan and total training cost of the workers. With an evolutionary algorithm and developed heuristic algorithm, the performance of the proposed manufacturing system has been improved. Finally, to manifest the capability of the proposed approach, an illustrative example from the real-time manufacturing industry is validated for optimal service recommendation.
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institution Kabale University
issn 2314-4904
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language English
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spelling doaj-art-d27ee5e680504d03af6b766dc3f027142025-02-03T01:22:00ZengWileyJournal of Engineering2314-49042314-49122017-01-01201710.1155/2017/93059899305989Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the HubsV. K. Manupati0M. Gokula Krishnan1M. L. R. Varela2José Machado3School of Mechanical Engineering, Division of Manufacturing, VIT University, Vellore, Tamil Nadu, IndiaSchool of Mechanical Engineering, Division of Manufacturing, VIT University, Vellore, Tamil Nadu, IndiaDepartment of Production and Systems, School of Engineering, University of Minho, Guimarães, PortugalDepartment of Mechanical Engineering, School of Engineering, University of Minho, Guimarães, PortugalRecent happenings are surrounding the manufacturing sector leading to intense progress towards the development of effective distributed collaborative manufacturing environments. This evolving collaborative manufacturing not only focuses on digitalisation of this environment but also necessitates service-dependent manufacturing system that offers an uninterrupted approach to a number of diverse, complicated, dynamic manufacturing operations management systems at a common work place (hub). This research presents a novel telefacturing based distributed manufacturing environment for recommending the manufacturing services based on the user preferences. The first step in this direction is to deploy the most advanced tools and techniques, that is, Ontology-based Protégé 5.0 software for transforming the huge stored knowledge/information into XML schema of Ontology Language (OWL) documents and Integration of Process Planning and Scheduling (IPPS) for multijobs in a collaborative manufacturing system. Thereafter, we also investigate the possibilities of allocation of skilled workers to the best feasible operations sequence. In this context, a mathematical model is formulated for the considered objectives, that is, minimization of makespan and total training cost of the workers. With an evolutionary algorithm and developed heuristic algorithm, the performance of the proposed manufacturing system has been improved. Finally, to manifest the capability of the proposed approach, an illustrative example from the real-time manufacturing industry is validated for optimal service recommendation.http://dx.doi.org/10.1155/2017/9305989
spellingShingle V. K. Manupati
M. Gokula Krishnan
M. L. R. Varela
José Machado
Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs
Journal of Engineering
title Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs
title_full Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs
title_fullStr Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs
title_full_unstemmed Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs
title_short Telefacturing Based Distributed Manufacturing Environment for Optimal Manufacturing Service by Enhancing the Interoperability in the Hubs
title_sort telefacturing based distributed manufacturing environment for optimal manufacturing service by enhancing the interoperability in the hubs
url http://dx.doi.org/10.1155/2017/9305989
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AT mlrvarela telefacturingbaseddistributedmanufacturingenvironmentforoptimalmanufacturingservicebyenhancingtheinteroperabilityinthehubs
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