IDEAS home Printed from https://ideas.repec.org/a/wly/syseng/v13y2010i4p324-339.html
   My bibliography  Save this article

Inoperability input‐output modeling (IIM) of disruptions to supply chain networks

Author

Listed:
  • Hairui Wei
  • Ming Dong
  • Shuyu Sun

Abstract

In this paper, the Inoperability Input‐Output Model (IIM) is deployed for assessing the impacts of disruptive events on supply chain networks under an unsafe environment. The IIM for supply chain networks has been proposed, based on the original IIM used in macro‐economics. A new method called the OWA (Ordered Weighted Averaging) Operator has been formulated to evaluate the interdependency matrix, a key component of the IIM. Similar to the capability of the basic IIM to describe the propagation impacts of disruptions to macroeconomic systems, the IIM for supply chain networks is capable of describing the propagation effects of disruptions to interdependent supply chain components. IIM assesses the impacts of disruptions to supply chain networks with “inoperability” and “economic losses” metrics, which can provide helpful insights for risk management of supply chain networks. An example supply chain network is used to illustrate the application of IIM for systemic risk assessment of supply chains under an unsafe environment. A risk mitigation strategy by increasing the number of suppliers has been considered to reduce the adverse effects caused by the supply reduction of the single secondary supplier in the example supply chain network. In addition, a simulation model integrated with Monte Carlo simulation method has been developed to validate the accuracy of the IIM for supply chain. The example shows that the application of IIM can provide useful guidance toward supply chain risk management or mitigation strategies and it could also be used to test the effectiveness of these strategies. © 2009 Wiley Periodicals, Inc. Syst Eng

Suggested Citation

  • Hairui Wei & Ming Dong & Shuyu Sun, 2010. "Inoperability input‐output modeling (IIM) of disruptions to supply chain networks," Systems Engineering, John Wiley & Sons, vol. 13(4), pages 324-339, December.
    • Handle: RePEc:wly:syseng:v:13:y:2010:i:4:p:324-339
    DOI: 10.1002/sys.20153
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sys.20153
    Download Restriction: no
    File URL: https://libkey.io/10.1002/sys.20153?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hsu, George J. Y. & Chou, Feng-Ying, 2000. "Integrated planning for mitigating CO2 emissions in Taiwan: a multi-objective programming approach," Energy Policy, Elsevier, vol. 28(8), pages 519-523, July.
    2. Michael L. Lahr & Benjamin H. Stevens, 2002. "A Study of the Role of Regionalization in the Generation of Aggregation Error in Regional Input –Output Models," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 477-507, August.
    3. Velazquez, Esther, 2006. "An input-output model of water consumption: Analysing intersectoral water relationships in Andalusia," Ecological Economics, Elsevier, vol. 56(2), pages 226-240, February.
    4. Chenyang Lian & Yacov Y. Haimes, 2006. "Managing the risk of terrorism to interdependent infrastructure systems through the dynamic inoperability input–output model," Systems Engineering, John Wiley & Sons, vol. 9(3), pages 241-258, September.
    5. Thi Anh Tuyet, Nguyen & Ishihara, Keiichi N., 2006. "Analysis of changing hidden energy flow in Vietnam," Energy Policy, Elsevier, vol. 34(14), pages 1883-1888, September.
    6. Kenneth G. Crowther & Yacov Y. Haimes, 2005. "Application of the inoperability input—output model (IIM) for systemic risk assessment and management of interdependent infrastructures," Systems Engineering, John Wiley & Sons, vol. 8(4), pages 323-341.
    7. M. F. Leung & J. R. Santos & Y. Y. Haimes, 2003. "Risk Modeling, Assessment, and Management of Lahar Flow Threat," Risk Analysis, John Wiley & Sons, vol. 23(6), pages 1323-1335, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amirhossein Khanbaba & Sadoullah Ebrahimnejad, 2023. "A multi objective input–output model to select optimal strategies under COVID-19 conditions: In the pharmaceutical industry," Operations Management Research, Springer, vol. 16(4), pages 2025-2047, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Imran Hanif & Rehman Akhtar, 2024. "Effects of seismic risk analysis on regional sectors using both the deterministic and stochastic modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(1), pages 639-675, January.
    2. Jiang, Meihui & An, Haizhong & Guan, Qing & Sun, Xiaoqi, 2018. "Global embodied mineral flow between industrial sectors: A network perspective," Resources Policy, Elsevier, vol. 58(C), pages 192-201.
    3. Hoa Thi Nguyen & Naoya Kojima & Akihiro Tokai, 2019. "An input–output linear programming model for assessing climate policy considering economic growth," Environment Systems and Decisions, Springer, vol. 39(1), pages 34-48, March.
    4. Lu, Qing-Chang & Xu, Peng-Cheng & Zhao, Xiangmo & Zhang, Lei & Li, Xiaoling & Cui, Xin, 2022. "Measuring network interdependency between dependent networks: A supply-demand-based approach," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    5. Matías Piaggio & Vicent Alcántara Escolano & Emilio Padilla, 2012. "Economic structure and key sectors analysis of greenhouse gas emissions in Uruguay," Working Papers wpdea1204, Department of Applied Economics at Universitat Autonoma of Barcelona.
    6. Joost R. Santos, 2006. "Inoperability input‐output modeling of disruptions to interdependent economic systems," Systems Engineering, John Wiley & Sons, vol. 9(1), pages 20-34, March.
    7. Wan, Kaidi & Liu, Bing-Yue & Fan, Ying & Ikonnikova, Svetlana A., 2024. "Modelling and assessing dynamic energy supply resilience to disruption events: An oil supply disruption case in China," Energy Economics, Elsevier, vol. 140(C).
    8. Xueting Zhao, 2014. "Disaggregating Input-Output Models," Working Papers Technical Document 2014-0, Regional Research Institute, West Virginia University.
    9. Pradeep V. Mandapaka & Edmond Y. M. Lo, 2023. "Assessing Shock Propagation and Cascading Uncertainties Using the Input–Output Framework: Analysis of an Oil Refinery Accident in Singapore," Sustainability, MDPI, vol. 15(2), pages 1-24, January.
    10. Christa Court & Randall W. Jackson, 2010. "Time Dynamics and the Introduction of New Technologies within IO Analysis," Working Papers Working Paper 2010-03, Regional Research Institute, West Virginia University.
    11. Shanshan Ye & Mingming Cao, 2023. "The Impact of Industrial Linkage Structures on Urban Economic Resilience in China in the Context of the COVID-19 Shock," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    12. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    13. Bekchanov, Maksud & Bhaduri, Anik & Lenzen, Manfred & Lamers, John P.A., 2012. "The role of virtual water for sustainable economic restructuring: evidence from Uzbekistan, Central Asia," Discussion Papers 126872, University of Bonn, Center for Development Research (ZEF).
    14. Fiorillo, Fabio & Palestrini, Antonio & Polidori, Paolo & Socci, Claudio, 2007. "Modelling water policies with sustainability constraints: A dynamic accounting analysis," Ecological Economics, Elsevier, vol. 63(2-3), pages 392-402, August.
    15. Wei Yang & Junnian Song & Yoshiro Higano & Jie Tang, 2015. "An Integrated Simulation Model for Dynamically Exploring the Optimal Solution to Mitigating Water Scarcity and Pollution," Sustainability, MDPI, vol. 7(2), pages 1-24, February.
    16. Kenneth G. Crowther & Yacov Y. Haimes, 2005. "Application of the inoperability input—output model (IIM) for systemic risk assessment and management of interdependent infrastructures," Systems Engineering, John Wiley & Sons, vol. 8(4), pages 323-341.
    17. Feiyi Luo & Zhengfeng Huang & Pengjun Zheng, 2022. "A Study on the Decay Model of Multi-Block Taxi Travel Demand under the Influence of Major Urban Public Health Events," IJERPH, MDPI, vol. 19(6), pages 1-19, March.
    18. Jian Jin & Haoran Zhou, 2023. "A Demand-Side Inoperability Input–Output Model for Strategic Risk Management: Insight from the COVID-19 Outbreak in Shanghai, China," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    19. Gabela, Julio Gustavo Fournier, 2020. "On the accuracy of gravity-RAS approaches used for inter-regional trade estimation: evidence using the 2005 inter-regional input–output table of Japan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 32(4), pages 521-539.
    20. Michael R. Greenberg & Michael Lahr & Nancy Mantell, 2007. "Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 83-96, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:syseng:v:13:y:2010:i:4:p:324-339. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6858 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.