Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/87014
Título: | Collaborative planning in non-hierarchical networks - an intelligent negotiation-based framework |
Autor(es): | Bastos, João Azevedo, Américo Ávila, Paulo Mota, Alzira Costa, Lino Castro, Hélio |
Palavras-chave: | Collaborative planning Intelligent collaborative decision making Multicriteria decision model Optimization Supply chain |
Data: | 19-Jul-2023 |
Editora: | Multidisciplinary Digital Publishing Institute (MDPI) |
Revista: | Applied Sciences |
Citação: | Bastos, J.; Azevedo, A.; Ávila, P.; Mota, A.; Costa, L.; Castro, H. Collaborative Planning in Non-Hierarchical Networks—An Intelligent Negotiation-Based Framework. Appl. Sci. 2023, 13, 8347. https://doi.org/10.3390/app13148347 |
Resumo(s): | In 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/87014 |
DOI: | 10.3390/app13148347 |
e-ISSN: | 2076-3417 |
Versão da editora: | https://www.mdpi.com/2076-3417/13/14/8347 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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applsci-13-08347.pdf | 2,57 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons