Insights on Multi-Agent Systems Applications for Supply Chain Management

Domínguez, Roberto; Cannella, Salvatore

doi:10.3390/su12051935

Cited by 30 publications

(16 citation statements)

References 100 publications

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“…In this study, we used an agentbased modeling method to build our model. ABM can clarify the evolution law of the nonlinear behavior of the complex system in the real world by setting interaction rules of agents [52]. Agent-based models are widely used to model dynamical behaviors of systems in a variety of fields, such as economics, social science, organizational science, behavioral ecology, and physics [53].…”

Section: Agent-based Modelingmentioning

confidence: 99%

How Government Regulations and Consumer Behavior Influence Manufacturers’ Product Green Degree Decision‐Making: An Agent‐Based Model

Yuan

Dong

Jia

et al. 2021

Wireless Communications and Mobile Computing

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In recent years, green product issues have received increasing attention. Both government regulations and consumer behaviors have a strong influence on the product green degree decisions of manufacturers’ products. In order to find how government regulations and individual’s green product purchase behavior affect manufacturers’ green degree decisions and the market evolution characteristics, this paper proposes a multiagent model that considers the interaction among government, consumers, and manufacturers. The simulation results show that, firstly, the product green degree decision-making of manufacturers needs the guidance and regulation of the government. Secondly, product price subsidies are the most effective way to affect the manufacturers’ product green degree decisions. In contrast to giving green cost subsidies to manufacturers, the government employs various publicity means to improve the environmental awareness of consumers is also an effective way to enhance the green degree of manufacturers’ products. Thirdly, there is a “Crowding Out Effect” on the other qualities of manufacturers’ products when manufacturers focus on the green degree of their products.

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Section: Agent-based Modelingmentioning

confidence: 99%

How Government Regulations and Consumer Behavior Influence Manufacturers’ Product Green Degree Decision‐Making: An Agent‐Based Model

Yuan

Dong

Jia

et al. 2021

Wireless Communications and Mobile Computing

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“…In recent years, many studies on supply chain collaboration management have been carried out by system dynamics modelling and simulation. An important advantage of system dynamics is that it is possible to infer the occurrence of specific behaviour patterns, but this requires clear composition and connection of each member in the supply chain before simulation, so it is impossible to effectively model a flexible structure [10,11]. Based on this, the combination of system dynamics and multiagent system is a promising method to reduce the complexity of models.…”

Section: System Dynamics Prediction Functionmentioning

confidence: 99%

Supply Chain Information Collaborative Simulation Model Integrating Multi-Agent and System Dynamics

Yang

Ding

Leng

et al. 2022

PROMTT

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Supply chain collaboration management is a systematic, integrated and agile advanced management mode, which helps to improve the competitiveness of enterprises and the entire supply chain. In order to realise the synergy of supply chain, the most important is to realise the dynamic synergy of information. Here we proposed a strategy to integrate system dynamics and multi-agent system modelling methods. Based on the strategy of supply chain information sharing and coordination, a two-level aggregation hybrid model was designed and established. Through the computer simulation analysis of the two modes before and after information collaboration, it is found that under the information collaboration mode, the change trend of order or inventory of suppliers and manufacturers always closely matches that of retailers. After the implementation of supply chain information coordination, ordering and inventory can be reasonably planned and matched, and problems such as over-stocking or short-term failure to meet order demands caused by poor information communication will no longer occur, which can greatly reduce the “bullwhip effect”.

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“…In addition to empirical contributions, we decided to keep modelling research since it has become a relevant methodological approach to theory development in the scientific literature [27]. In the following sub-sections, we present the sustainable supply chain issues and discuss Blockchain's adoption benefits.…”

Section: Classification By Design Approachmentioning

confidence: 99%

Going Beyond Blockchain Adoption's Hype to Improve Supply Chain Sustainability: Evidence From Empirical and Modelling Studies

Chikhi¹,

Santa-Eulalia²,

Mosconi³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Potential solutions emerge with the fourth Industrial Revolution technologies, including the Internet of Things, Artificial Intelligence and Blockchain. The global supply chain requires greater traceability and transparency to ensure product security, efficient management and sustainable performance. However, traditional supply chains face several challenges related to traceability systems. This paper aims to analyse academic literature regarding Blockchain adoption in supply chains to improve traceability and transparency from a sustainable perspective. A systematic literature review was performed in order to provide verifiable evidence; we focused our investigation on empirical and modelling articles. Results suggest that Blockchain benefits occur through three levels: macro-level (overall supply chain network), meso-level (such as dyadic relationships) and micro-level (end consumers). However, we note that the contribution's results have not yet reached a consensus. We have therefore proposed three research insights towards addressing the identified gaps.

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Insights on Multi-Agent Systems Applications for Supply Chain Management

Cited by 30 publications

References 100 publications

How Government Regulations and Consumer Behavior Influence Manufacturers’ Product Green Degree Decision‐Making: An Agent‐Based Model

How Government Regulations and Consumer Behavior Influence Manufacturers’ Product Green Degree Decision‐Making: An Agent‐Based Model

Supply Chain Information Collaborative Simulation Model Integrating Multi-Agent and System Dynamics

Going Beyond Blockchain Adoption's Hype to Improve Supply Chain Sustainability: Evidence From Empirical and Modelling Studies

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