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Agent-Based Approach for Inventory Pre- and Post-disruption Decision Support

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Knowledge Science, Engineering and Management (KSEM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11775))

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Abstract

Due to its global nature and highly dynamic and competitive environment, supply chain arguably is more exposed to disruptions. As supply chains continue to grow in scale and complexity, inventory management in a dynamic business environment is a challenging task. The aim of this paper is to propose a multi-agent approach to quantify the impact of inventory disruptions. Our objective is to analyze the capacities of supply chains to cope with disruptions before and after stockouts by including (proactive) mitigation strategies and reactive strategies. The proposed system allows providing advice to human users in the form of decision support. A prototype system is built and validated, which demonstrates the feasibility of the proposed approach. The experiments show that the implementation of multi-agent technology makes the system much more flexible to make the final decision.

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Correspondence to Maroua Kessentini .

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Kessentini, M., Bellamine Ben Saoud, N., Sboui, S. (2019). Agent-Based Approach for Inventory Pre- and Post-disruption Decision Support. In: Douligeris, C., Karagiannis, D., Apostolou, D. (eds) Knowledge Science, Engineering and Management. KSEM 2019. Lecture Notes in Computer Science(), vol 11775. Springer, Cham. https://doi.org/10.1007/978-3-030-29551-6_74

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  • DOI: https://doi.org/10.1007/978-3-030-29551-6_74

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29550-9

  • Online ISBN: 978-3-030-29551-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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