Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review
Abstract: Purpose: The
objective of this paper is to provide a systematic literature review of recent
developments in methodological frameworks for the modelling and simulation of
agent-based advanced supply chain planning systems.
Design/methodology/approach: A systematic literature review is provided
to identify, select and make an analysis and a critical summary of all suitable
studies in the area. It is organized into two blocks: the first one covers
agent-based supply chain planning systems in general terms, while the second
one specializes the previous search to identify those works explicitly
containing methodological aspects.
Findings: Among sixty suitable manuscripts identified in the primary
literature search, only seven explicitly considered the methodological aspects.
In addition, we noted that, in general, the notion of advanced supply chain
planning is not considered unambiguously, that the social and individual
aspects of the agent society are not taken into account in a clear manner in
several studies and that a significant part of the works are of a theoretical
nature, with few real-scale industrial applications. An integrated framework
covering all phases of the modelling and simulation process is still lacking in
the literature visited.
Research limitations/implications: The main research limitations are
related to the period covered (last four years), the selected scientific
databases, the selected language (i.e. English) and the use of only one
assessment framework for the descriptive evaluation part.
Practical implications: The identification of recent works in the domain
and discussion concerning their limitations can help pave the way for new and
innovative researches towards a complete methodological framework for
agent-based advanced supply chain planning systems.
Originality/value: As there are no recent state-of-the-art reviews in the
domain of methodological frameworks for agent-based supply chain planning, this
paper contributes to systematizing and consolidating what has been done in
recent years and uncovers interesting research gaps for future studies in this
emerging field.
Keywords: supply chain
management, advanced supply chain planning systems, agent-based modelling and
simulation, methodological frameworks
Author: Luis Antonio
Santa-Eulalia, Georgina Halladjian, Sophie D'Amours, Jean-Marc Frayret
Journal Code: jptindustrigg110027
