A multi-agent based framework for supply chain risk management

Giannakis, Mihalis; Louis, Michalis

doi:10.1016/j.pursup.2010.05.001

Cited by 269 publications

(119 citation statements)

References 29 publications

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“…To begin with, ABDS systems are very versatile when it comes to the system architecture (Chatfield et al, 2006;Balbo and Pinson, 2010;Giannakis and Louis, 2011). At the same time, the models can cover many different kinds of aspects through the agents.…”

Section: Discussionmentioning

confidence: 99%

Agent based decision support in the supply chain context

Hilletofth

Lättilä

2012

Industrial Management &Amp; Data Systems

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Purpose: The purpose of this paper is to investigate the benefits and the barriers of agent based decision support (ABDS) systems in the supply chain context. Design/methodology/approach: Two ABDS systems have been developed and evaluated. The first system concerns a manufacturing supply chain while the second concerns a service supply chain. The systems are based on actual case companies. Findings:This research shows that the benefits of ABDS systems in the supply chain context include the possibility to increase versatility of system architecture, to improve supply chain visibility, to conduct experiments and what-if analyses, to improve the understanding of the real system, and the possibility to improve communication within and between organizations in the supply chain. The barriers of ABDS systems in the supply chain context include the difficulty to access data from partners in the supply chain, the difficulty to access data on a higher level of granularity, and the difficulty to retrieve data from other information systems. Research limitations/implications:The research is explorative in nature therefore empirical data from similar and other research settings should be gathered to reinforce the validity of the findings. Practical implications:This research provides knowledge and insights on how ABDS systems may be developed and used in the supply chain context and demonstrates its main benefits and barriers. Originality/value:This research expands the current research of benefits of ABDS systems to the supply chain domain and also addresses the barriers of ABDS systems to a larger extent than previous research. Comparisons to other simulation based decision support systems are also given.

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Section: Discussionmentioning

confidence: 99%

Agent based decision support in the supply chain context

Hilletofth

Lättilä

2012

Industrial Management &Amp; Data Systems

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“…According to Giannakis and Louis [90], the agent-based technology is acknowledged as one of the most promising technologies for effective management of complex systems such as SCNs due to the vital properties of agents, which are summarized, for instance, in Michael and Jennings [91], MacAl and North [86], and Barbati et al [87]:…”

Section: Agent-basedmentioning

confidence: 99%

Impact of Business Interoperability on the Performance of Complex Cooperative Supply Chain Networks: A Case Study

Cabral

Grilo

2018

Complexity

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This paper proposes an agent-based model for evaluating the effect of business interoperability on the performance of cooperative supply chain networks. The model is based on insights from the Industrial Marketing and Purchasing network approach and the complex systems theory perspective. To demonstrate its applicability, an explanatory case study regarding a Portuguese reverse logistics cooperative supply chain network is presented. Face-to-face interviews and forms were used to collect data. The findings show that the establishment of appropriate levels of business interoperability has helped to reduce several non-value-added interaction processes and consequently improve the operational performance of the Valorpneu network. Regarding the research implications, this paper extends the current knowledge on business interoperability and an important problem in business: how business interoperability gaps in dyadic organizational relationships affect the network of companies that the two companies belong to-network effect. In terms of practical implications, managers can use the proposed model as a starting point to simulate complex interactions between supply chain network partners and understand better how the performance of their networks emerges from these interactions and from the adoption of different levels of business interoperability.

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“…Irregular or unbalanced coordination and communication is the main reason behind rising the Bullwhip effect (BE). The misleading or variance in information results excessive inventory investment, poor customer service and wastage of all firms' available resources (Lee et al, 1997;Patil et al, 2010;Hu et al, 2010;Feisel et al 2011;Giannakis & Louis., 2011). These errors are most common problem that is associated with delivery of products/services to the SC nodes.…”

Section: Tablementioning

confidence: 99%

“…SC coordination aims at improving SCP by aligning the strategies and the goals of the business. In addition, it has an effect on firm's whole SCP (Cooper et al, 1997;Toni & Tonachai, 2005;Giannakis & Louis, 2011).…”

Section: Introductionmentioning

confidence: 99%