Skip to main content

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

  • Conference paper
  • First Online:
Book cover Knowledge Science, Engineering and Management (KSEM 2019)

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

  • 2635 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ambulkar, S., Blackhurst, J., Grawe, S.: Firm’s resilience to supply chain disruptions: scale development and empirical examination. J. Oper. Manag. 33, 111–122 (2015)

    Article  Google Scholar 

  2. Kärkkäinen, M.: Increasing efficiency in the supply chain for short shelf life goods using RFID tagging. Int. J. Retail Distrib. Manag. 31(10), 529–536 (2003)

    Article  Google Scholar 

  3. Tsai, W.C.: A dynamic sourcing strategy considering supply disruption risks. Inter. J. Prod. Res. 54(7), 2170–2184 (2016)

    Article  Google Scholar 

  4. Gong, X., Chao, X., Zheng, S.: Dynamic pricing and inventory management with dual suppliers of different lead times and disruption risks. Prod. Oper. Manag. 23(12), 2058–2074 (2014)

    Article  Google Scholar 

  5. Wu, D.D., Chen, S.H., Olson, D.L.: Business intelligence in risk management: some recent progresses. Inform. Sci. 256, 1–7 (2014)

    Article  Google Scholar 

  6. Jüttner, U.: Supply chain risk management: understanding the business requirements from a practitioner perspective. Int. J. Logistics Manag. 16(1), 120–141 (2005)

    Article  Google Scholar 

  7. Behdani, B. , Adhitya, A., Lukszo, Z., Srinivasan, R.: How to handle disruptions in supply chains-an integrated framework and a review of literature (2012)

    Google Scholar 

  8. Ivanov, D., Sokolov, B., Dolgui, A.: The Ripple effect in supply chains: trade-off ‘efficiency-flexibility-resilience’ in disruption management. Int. J. Prod. Res. 52(7), 2154–2172 (2014)

    Article  Google Scholar 

  9. Esmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., Mo, J.: Tactical supply chain planning models with inherent flexibility: definition and review. Ann. Oper. Res. 244(2), 407–427 (2016)

    Article  MathSciNet  Google Scholar 

  10. Wakolbinger, T., Cruz, J.M.: Supply chain disruption risk management through strategic information acquisition and sharing and risk-sharing contracts. Int. J. Prod. Res. 49(13), 4063–4084 (2011)

    Article  Google Scholar 

  11. Kumar, V., Srinivasan, S.: A review of supply chain management using multi-agent system. Int. J. Comput. Sci. Issues (IJCSI) 7(5), 198 (2010)

    Google Scholar 

  12. Behzadi, G., O’Sullivan, M.J., Olsen, T.L., Scrimgeour, F., Zhang, A.: Robust and resilient strategies for managing supply disruptions in an agribusiness supply chain. Int. J. Prod. Econ. 191, 207–220 (2017)

    Article  Google Scholar 

  13. Qazi, A., Dickson, A., Quigley, J., Gaudenzi, B.: Supply chain risk network management: a bayesian belief network and expected utility based approach for managing supply chain risks. Int. J. Prod. Econ. 196, 24–42 (2018)

    Article  Google Scholar 

  14. Pyke, D., Tang, C.S.: How to mitigate product safety risks proactively? Process, challenges and opportunities. Int. J. Logistics Res. Appl. 13(4), 243–256 (2010)

    Article  Google Scholar 

  15. Adhitya, A., Srinivasan, R.: Dynamic simulation and decision support for multisite specialty chemicals supply chain. Ind. Eng. Chem. Res. 49(20), 9917–9931 (2010)

    Article  Google Scholar 

  16. Joslyn, C., Rocha, L.: Towards semiotic agent-based models of socio-technical organizations. In: Proceedings AI, Simulation and Planning in High Autonomy Systems (AIS 2000) Conference, Tucson, Arizona, pp. 70–79 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maroua Kessentini .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29550-9

  • Online ISBN: 978-3-030-29551-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics