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Regional Science Matters pp 287–318Cite as

An Integrated Disaster Relief Supply Chain Network Model with Time Targets and Demand Uncertainty

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Abstract

As the number of natural disasters and their impacts increase across the globe, the need for effective preparedness against such events becomes more vital. In this paper, we construct a supply chain network optimization model for a disaster relief organization in charge of obtaining, storing, transporting, and distributing relief goods to certain disasterprone regions. Our system-optimization approach minimizes the total operational costs on the links of the supply chain network subject to the uncertain demand for aid at the demand points being satisfied as closely as possible. A goal programming approach is utilized to enforce the timely delivery of relief items with respect to the pre-specified time targets at the demand points. A solution algorithm for the model is also provided. A spectrum of numerical examples illustrates the modeling and computational framework, which integrates the two policies of pre-positioning relief supplies as well as their procurement once the disaster has occurred.

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Acknowledgments

This paper is dedicated to the memory of Professor Walter Isard, the founder of Regional Science, whose vision, research and scholarship, energy, kindness, and mentorship will never be forgotten.

The authors are grateful to the anonymous reviewer for helpful comments and suggestions as well as to the Editors for their work in putting this volume together.

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Authors and Affiliations

  1. Department of Operations and Information Management, Isenberg School of Management, University of Massachusetts, Amherst, MA, 01003, USA

    Anna Nagurney

  2. School of Business, Economics and Law, University of Gothenburg, Gothenburg, Sweden

    Anna Nagurney

  3. Department of Management and Marketing, School of Business, Manhattan College, Riverdale, NY, 10471, USA

    Amir H. Masoumi

  4. Pamplin School of Business Administration, University of Portland, Portland, OR, 97203, USA

    Min Yu

Authors
  1. Anna Nagurney
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  2. Amir H. Masoumi
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  3. Min Yu
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Corresponding author

Correspondence to Anna Nagurney .

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Editors and Affiliations

  1. Department of Spatial Economics, VU University, Amsterdam, The Netherlands

    Peter Nijkamp

  2. University of Southern California Price School of Public Policy, Los Angeles, California, USA

    Adam Rose

  3. VU University Department of Spatial Economics, Amsterdam, The Netherlands

    Karima Kourtit

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Nagurney, A., Masoumi, A.H., Yu, M. (2015). An Integrated Disaster Relief Supply Chain Network Model with Time Targets and Demand Uncertainty. In: Nijkamp, P., Rose, A., Kourtit, K. (eds) Regional Science Matters. Springer, Cham. https://doi.org/10.1007/978-3-319-07305-7_15

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