Repository logo
 
Publication

Collaborative Planning in Non-Hierarchical Networks—An Intelligent Negotiation-Based Framework

dc.contributor.authorBastos, João
dc.contributor.authorAzevedo, Américo
dc.contributor.authorÁvila, Paulo
dc.contributor.authorMota, Alzira
dc.contributor.authorCosta, Lino
dc.contributor.authorCastro, Helio
dc.date.accessioned2023-09-07T10:55:13Z
dc.date.available2023-09-07T10:55:13Z
dc.date.issued2023
dc.description.abstractIn today’s competing business market, companies are constantly challenged to dynamically adapt to customer expectations by diminishing the time response that goes from the beginning of the business opportunity to the satisfaction of the customer need. Simultaneously, there is increased recognition of the advantages that companies obtain in focusing on their core business and seeking other competencies through partnerships with other partners by forming collaborative networks. These new collaborative organizational structures require a new set of methods and tools to support the management of manufacturing processes across the entire supply chain. The present paper addresses the collaborative production planning problem in networks of non-hierarchical, decentralized, and independent companies. By proposing a collaborative planning intelligent framework composed of a web-based set of methods, tools, and technologies, the present study intends to provide network stakeholders with the necessary means to responsively and efficiently address each one of the market business opportunities. Through this new holistic framework, the managers of the networked companies can address the challenges posed during collaborative network formation and supply chain production planning.pt_PT
dc.description.sponsorshipThe research leading to these results received funding from the European Union’s Seventh Framework Program (FP7/2007-2013) under grant agreement No. 260169. This work was also financed by national funds through the Portuguese funding agency, FCT—Fundação para a Ciência e a Tecnologia, within project LA/P/0063/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/app13148347pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/23461
dc.language.isoengpt_PT
dc.publisherMDPIpt_PT
dc.relationFP7/2007-2013pt_PT
dc.relationCustomer-oriented and eco-friendly networks for healthy fashionable goods
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/13/14/8347pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectCollaborative planningpt_PT
dc.subjectIntelligent collaborative decision makingpt_PT
dc.subjectMulticriteria decision modelpt_PT
dc.subjectOptimizationpt_PT
dc.subjectSupply chainpt_PT
dc.titleCollaborative Planning in Non-Hierarchical Networks—An Intelligent Negotiation-Based Frameworkpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCustomer-oriented and eco-friendly networks for healthy fashionable goods
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/260169/EU
oaire.citation.issue14pt_PT
oaire.citation.startPage8347pt_PT
oaire.citation.titleApplied Sciencespt_PT
oaire.citation.volume13pt_PT
oaire.fundingStreamFP7
person.familyNameÁvila
person.familyNameTeixeira da Mota
person.familyNameCastro
person.givenNamePaulo
person.givenNameAlzira Maria
person.givenNameHelio
person.identifier631747
person.identifier.ciencia-id0919-7ED7-85AC
person.identifier.ciencia-id5F17-10EE-C0CE
person.identifier.ciencia-idB219-017C-0828
person.identifier.orcid0000-0002-9082-3291
person.identifier.orcid0000-0001-8420-0875
person.identifier.orcid0000-0002-3871-4215
person.identifier.orcid0000-0001-5712-9954
person.identifier.ridE-2348-2019
person.identifier.scopus-author-id8609138000
person.identifier.scopus-author-id55175839700
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication4d87cfaf-50d1-4efc-8e0f-5b39a3700bdd
relation.isAuthorOfPublication444efa0f-ca28-4743-8e78-7d31b0abde47
relation.isAuthorOfPublication3d9c083e-becd-49d4-82b5-e16aa98db2e2
relation.isAuthorOfPublication21b8fcc5-040e-4238-91e5-499ec0cc0bff
relation.isAuthorOfPublication.latestForDiscovery4d87cfaf-50d1-4efc-8e0f-5b39a3700bdd
relation.isProjectOfPublicationc30fa263-b21d-47e6-84f4-e72f4a28aab6
relation.isProjectOfPublication.latestForDiscoveryc30fa263-b21d-47e6-84f4-e72f4a28aab6

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ART_DEM_PSA_applsci_2023.pdf
Size:
2.51 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: