Journées de l'optimisation 2018

HEC Montréal, Québec, Canada, 7 — 9 mai 2018

Horaire Auteurs Mon horaire
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WB7 Humanitarian logistics applications

9 mai 2018 15h30 – 17h10

Salle: Groupe Cholette (35)

Présidée par Burcu Balcik

4 présentations

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    15h30 - 15h55

    A collaborative prepositioning model for strengthening local disaster response capacity

    • Selene Silvestri, prés., HEC Montréal
    • Burcu Balcik, Ozyegin University
    • Gilbert Laporte, HEC Montréal
    • Marie-Eve Rancourt, HEC Montréal

    We present a prepositioning strategy and a stochastic optimization model to strengthen disaster preparedness of a region, which involves multiple countries prone to disaster risk, such as the Caribbean. We consider the uncertainties related to the location and impact of disasters, and present a collaborative approach based on risk-pooling.

  • Cal add eabad1550a3cf3ed9646c36511a21a854fcb401e3247c61aefa77286b00fe402
    15h55 - 16h20

    Food aid modality selection problem

    • Feyza Guliz Sahinyazan, prés., McGill University
    • Marie-Eve Rancourt, HEC Montréal
    • Vedat Verter, McGill University

    There is a vast empirical literature suggesting that providing food aid in cash or vouchers is significantly more effective compared to in-kind. Yet, ours is the first study that mathematically models the aid modality selection and provides a methodology that can respond the dynamics of the environments requiring food assistance.

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    16h20 - 16h45

    A robust optimization approach for humanitarian needs assessment planning under travel time uncertainty

    • Burcu Balcik, prés., Ozyegin University
    • Ihsan Yanikoglu,

    In this study, we focus on rapid needs assessment operations conducted immediately after a disaster to investigate the conditions of different affected community groups, and address the problem of selecting the sites to be visited by the assessment teams during a fixed assessment period and constructing assessment routes. We represent uncertain travel times by specifying a range of values, and propose a robust optimization approach to support site selection and routing decisions. We present tractable formulations that are robust with respect to different uncertainty sets and propose using the robust formulation with a co-axial box uncertainty set for rapid assessment planning. We develop an efficient tabu search heuristic to solve the proposed model. We present computational results to test our solution method and illustrate our approach on a case study, which is based on data from Van (a southeastern province of Turkey) earthquake in October 2011.

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    16h45 - 17h10

    Risk evaluations of transportation corridors for humanitarian aid: The case of the World Food Programme based in Niger

    • Marie-Pier Séguin, prés., Université du Québec à Montréal (UQAM)
    • Walter Rei, Université du Québec à Montréal
    • Claudio Contardo, GERAD - ESG UQÀM
    • Marie-Eve Rancourt, HEC Montréal

    We evaluate the risks affecting the World Food Programme's logistic supply chain, upstream of its food distribution to the beneficiaries in Niger. We are developing a descriptive and predictive model able to evaluate the decision taken under uncertainty. It is driven by the intent of generating valid scenarios that quantifies the stochastic parameters of the case studied: the delays, the cost and the losses.

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