Examinando por Autor "Liu, Shaofeng"

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  • Libro
    Acceso Abierto
    Book of abstract RUC-APS international conference 2021
    (University of Liverpool, United Kingdom, 2021) Hernández, Jorge; Brockley, Rachel; Antonelli, Leandro; Esteso, Ana; Liu, Shaofeng; Iannacone, Rina; Arias, Horacio; Zarate, Pascale; Kacprzyk, Janusz; Fernández, Alejandro
    This book includes the abstracts of accepted submissions to the 2nd International RUC-APS conference, held online from November 29th to December 2nd 2021.
  • Documento de conferencia
    Acceso Abierto
    Collaborative, Distributed Simulations of Agri-Food Supply Chains: Analysis on How Linking Theory and Practice by Using Multi-agent Structures
    (2019) Fernández, Alejandro; Hernandez Hormazabal, Jorge E.; Liu, Shaofeng; Panetto, Hervé; Pankow, Matías Nahuel; Sanchez, Esteban
    Simulations help to understand and predict the behaviour of complex phenomena?s, likewise distributed socio-technical systems or how stakeholders interacts in complex domains. Such domains are normally based on networked based interaction, where information, product and decision flows comes in to play, especially under the well-known supply chains structures. Although tools exist to simulate supply chains, they do not adequately support multiple stakeholders to collaboratively create and explore a variety of decision-making scenarios. Hence, in order to provide a preliminary understanding on how these interaction affects stakeholders decision-making, this research presents an study, analysis and proposal development of robust platform to collaboratively build and simulate communication among supply chain. Since realistic supply chain behaviours are complex, a multi-agent approach was selected in order to represent such complexities in a standardised manner. The platform provides agent behaviours for common agent patterns. It provides extension hotspots to implement more specific agent behaviour for expert users (that requires programming). Therefore, as key contribution, technical aspects of the platform are presented, and also the role of multi-level supply chain scenario simulation is discussed and analysed, especially under de context of digital supply chain transformation in the agri-food context. Finally, we discuss lessons learned from early tests with the reference implementation of the platform.
  • Artículo
    Acceso Abierto
    A Decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains
    (2019) Boshkoska, Biljana Mileva; Liu, Shaofeng; Zhao, Guoqing; Fernández, Alejandro; Gamboa, Susana; del Pino, Mariana; Zarate, Pascale; Hernandez, Jorge; Chen, Huilan
    An agri-food value chain (VC) represents a set of activities aimed at delivering highly valuable products to the market. Due to the diversity of actors in the agri-food VCs ́ accumulated knowledge is typically situated within the boundaries of each entity of the VC. Hence, the question is how to improve knowledge sharing in agri-food VC, or more specifically how can knowledge flow and mobilize among different actors in the VC. To answer this question, we present a decision support system (DSS) for evaluation of knowledge sharing crossing boundaries in agri-food VC. The proposed DSS is developed through two phases: (i) identification of the most common knowledge boundaries by using machine learning and ontology technologies; (ii) transformation of the obtained ontology into a DSS for the evaluation of existing knowledge boundaries. In particular, the developed DSS helps in identifying, evaluating and providing directions for improvement of the knowledge sharing crossing boundaries in agri-food VC. We apply the DSS to evaluate three real VCs: a tomato VC in Argentina, a Chinese leaf VC in China and a brassica VC in the UK. The comparative analysis across the three varied case studies and their evaluation with the proposed DSS lead to more insights into knowledge-based decisions that a particular VC needs to address to improve its knowledge flow, in particular, to obtain insights in the transparency and interoperability of data and knowledge crossing boundaries in agri-food VCs.
  • Contribucion a revista
    Acceso Abierto
    Editorial preface for the special issue on “decision support systems innovation and uncertainty management in agri-food systems”
    (2024) Fernández, Alejandro; Hernández, Jorge E.; Alvarez, Ana Esteso; Antonelli, Leandro; Liu, Shaofeng
    This Special Issue publishes original papers that contribute to Decision Support Systems’ Innovation and Uncertainty Management in Agri-Food Systems. Of particular interest to this issue are works that approach the topic with a perspective on sustainability, relying on a socio-technical contribution where human and social ingredients are important. The issue also includes high-quality revised papers, selected, and extended from the RUC- APS International Conference “Enhancing and implementing Knowledge-based ICT solutions within high risk and Uncertain Conditions for Agriculture Production Systems,” held online, between 29 November and 2 December 2021. This editorial con-tains a brief overview of the seven research articles submitted by the international community.
  • Documento de conferencia
    Acceso Abierto
    Knowledge mobilisation crossing boundaries: a multi-perspective framework for agri-food value chains
    (2020) Liu, Shaofeng; Zhao, Guoqing; Chen, Huilan; Fernández, Alejandro; Torres, Diego; Antonelli, Leandro; Panetto, Hervé; Lezoche, Mario
    Knowledge has long been recognised as a valuable asset to individuals, organisations and economy, subsequently knowledge management (KM) has been a well-established area of research. Existing research has developed various classification schemes for knowledge, and a great number of KM process and lifecycle models have been proposed over the last few decades. In particular, knowledge transfer and sharing has received great attention. However, majority of existing work has focused on knowledge sharing within the same organisation or community where people have a shared sense of identity, values and some common practice, hence knowledge process and learning is within relatively homogeneous groups. There is inadequate research to address the issue of knowledge boundaries and approaches to knowledge mobilisation spanning across knowledge boundaries. The knowledge boundaries can erect significant barriers to knowledge sharing and flowing especially in value chain context where there are a great number of players from different domains, with varied level of knowledge, having different and possibly conflicting interests - participating in knowledge sharing activities. This paper will explore how such knowledge boundaries can be identified and how knowledge gaps among different value chain players can be closed by using appropriate boundary-crossing mechanisms. A multi-perspective knowledge mobilisation framework is proposed. Example applications of the knowledge mobilisation framework in agri-food value chain will be illustrated, based on the most recent developments from an EU collaborative project, RUC-APS (standing for Risk and Uncertain Conditions in Agriculture Production Systems), which is funded by European Commission’s Horizon 2020 RISE programme.