Conceptual Framework for Agent-Based Modeling of Customer-Oriented Supply Networks - Risks and Resilience of Collaborative Networks Access content directly
Conference Papers Year : 2015

Conceptual Framework for Agent-Based Modeling of Customer-Oriented Supply Networks


Supply Networks (SN) are complex systems involving the interaction of different actors, very often, with different objectives and goals. Among the different existing modeling approaches, agent-based systems can properly represent the autonomous behavior of SN links and, simultaneously, observe the general response of the system as a result of individual actions. Most of research using agent-based modeling in SN focuses on production issues. To the best of our knowledge, other relevant issues affecting SN competitiveness have not been fully studied such as the impact of customer’s individual behavior or SN adaptability to changes in customer choices due to his/her decision-making context. In such a context, simulating SN oriented to the customer with context adaptability skills will allow researchers and practitioners to better look at ways to improve the relations between the SN and its customers, as well as to enhance SN’s competitiveness. This paper presents our work in process about the design of an agent-based model of customer-oriented supply networks. Our focus is on the inclusion of the customer’s purchase decision-making process and the SN adaptability. A preliminary model is developed based on a real-life case study from the floriculture sector in Colombia.
Fichier principal
Vignette du fichier
370605_1_En_20_Chapter.pdf (1.23 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01437891 , version 1 (17-01-2017)





Clara Mabel Solano-Vanegas, Angela Carrillo-Ramos, Jairo R. Montoya-Torres. Conceptual Framework for Agent-Based Modeling of Customer-Oriented Supply Networks. 16th Working Conference on Virtual Enterprises (PROVE), Oct 2015, Albi, France. pp.223-234, ⟨10.1007/978-3-319-24141-8_20⟩. ⟨hal-01437891⟩
62 View
95 Download



Gmail Facebook X LinkedIn More