Publication
Integration of process planning and scheduling using mobile-agent based approach in a networked manufacturing environment
| dc.contributor.author | Manupati, Vijaya Kumar | |
| dc.contributor.author | Putnik, Goran D. | |
| dc.contributor.author | Tiwari, Manoj Kumar | |
| dc.contributor.author | Ávila, Paulo | |
| dc.contributor.author | Cruz-Cunha, Maria Manuela | |
| dc.date.accessioned | 2023-09-07T14:07:50Z | |
| dc.date.embargo | 2031 | |
| dc.date.issued | 2016 | |
| dc.description.abstract | Effective and efficient implementation of intelligent and/or recently emerged networked manufacturing systems require an enterprise level integration. The networked manufacturing offers several advantages in the current competitive atmosphere by way to reduce, by shortening manufacturing cycle time and maintaining the production flexibility thereby achieving several feasible process plans. The first step in this direction is to integrate manufacturing functions such as process planning and scheduling for multi-jobs in a network based manufacturing system. It is difficult to determine a proper plan that meets conflicting objectives simultaneously. This paper describes a mobile-agent based negotiation approach to integrate manufacturing functions in a distributed manner; and its fundamental framework and functions are presented. Moreover, ontology has been constructed by using the Protégé software which possesses the flexibility to convert knowledge into Extensible Markup Language (XML) schema of Web Ontology Language (OWL) documents. The generated XML schemas have been used to transfer information throughout the manufacturing network for the intelligent interoperable integration of product data models and manufacturing resources. To validate the feasibility of the proposed approach, an illustrative example along with varied production environments that includes production demand fluctuations is presented and compared the proposed approach performance and its effectiveness with evolutionary algorithm based Hybrid Dynamic-DNA (HD-DNA) algorithm. The results show that the proposed scheme is very effective and reasonably acceptable for integration of manufacturing functions. | pt_PT |
| dc.description.sponsorship | This work is partially supported by the FCT – Fundação para a Ciência e Tecnologia in the scope of the PEst-UID/ CEC/00319/2013. The authors are very grateful to the Editor and three anonymous reviewers for their valuable comments and suggestions on an earlier version of the paper that helped make the paper more informative and easily understandable. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1016/j.cie.2016.01.017 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/23467 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | PEst-UID/ CEC/00319/2013 | pt_PT |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0360835216300109?via%3Dihub | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Mobile-agent | pt_PT |
| dc.subject | Networked manufacturing | pt_PT |
| dc.subject | Ontology | pt_PT |
| dc.subject | Process planning | pt_PT |
| dc.subject | Scheduling | pt_PT |
| dc.title | Integration of process planning and scheduling using mobile-agent based approach in a networked manufacturing environment | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 73 | pt_PT |
| oaire.citation.startPage | 63 | pt_PT |
| oaire.citation.title | Computers & Industrial Engineering | pt_PT |
| oaire.citation.volume | 94 | pt_PT |
| person.familyName | Ávila | |
| person.givenName | Paulo | |
| person.identifier | 631747 | |
| person.identifier.ciencia-id | 5F17-10EE-C0CE | |
| person.identifier.orcid | 0000-0001-8420-0875 | |
| person.identifier.scopus-author-id | 8609138000 | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 444efa0f-ca28-4743-8e78-7d31b0abde47 | |
| relation.isAuthorOfPublication.latestForDiscovery | 444efa0f-ca28-4743-8e78-7d31b0abde47 |