An Intelligent System to Ensure Interoperability for the Dairy Farm Business Model

Adina Cretan, Cristina Nica, Carlos Coutinho, Ricardo Jardim-Goncalves and Ben Bratu
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Adina Cretan: Department of Economic Sciences, Faculty of Economics and Business Administration, “Nicolae Titulescu” University of Bucharest, 040051 Bucharest, Romania
Cristina Nica: Department of Economic Sciences, Faculty of Economics and Business Administration, “Nicolae Titulescu” University of Bucharest, 040051 Bucharest, Romania
Carlos Coutinho: Caixa Mágica Software/Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, 1649-026 Lisbon, Portugal
Ricardo Jardim-Goncalves: CTS, Departamento de Engenharia Electrotecnica, FCT University NOVA Lisbon, UNINOVA, 2829-516 Lisbon, Portugal
Ben Bratu: Extreme Computing R&D High Level Software Team, Datadirect Networks, R&D, 92360 Meudon, France

Future Internet, 2021, vol. 13, issue 6, 1-24

Abstract: Picking reliable partners, negotiating synchronously with all partners, and managing similar proposals are challenging tasks for any manager. This challenge is even harder when it concerns small and medium enterprises (SMEs) who need to deal with short budgets and evident size limitations, often leading them to avoid handling very large contracts. This size problem can only be mitigated by collaboration efforts between multiple SMEs, but then again this brings back the initially stated issues. To address these problems, this paper proposes a collaborative negotiation system that automates the outsourcing part by assisting the manager throughout a negotiation. The described system provides a comprehensive view of all negotiations, facilitates simultaneous bilateral negotiations, and provides support for ensuring interoperability among multiple partners negotiating on a task described by multiple attributes. In addition, it relies on an ontology to cope with the challenges of semantic interoperability, it automates the selection of reliable partners by using a lattice-based approach, and it manages similar proposals by allowing domain experts to define a satisfaction degree for each SME. To showcase this method, this research focused on small and medium-size dairy farms (DFs) and describes a negotiation scenario in which a few DFs are able to assess and generate proposals.

Keywords: multi-agent system; collaborative negotiation system; formal concept analysis; ontology; dairy farm; semantic interoperability (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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