Endüstri Mühendisliği Bölümü Koleksiyonu

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Browsing Endüstri Mühendisliği Bölümü Koleksiyonu by Author "Balcik, Burcu"

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    Article
    Citation Count: 224
    Models for relief routing: equity efficiency and efficacy
    (Pergamon-Elsevier Science Ltd, 2012) Huang, Michael; Smilowitz, Karen R.; Balcik, Burcu
    In humanitarian relief operations vehicle routing and supply allocation decisions are critically important. Similar routing and allocation decisions are studied for commercial settings where efficiency in terms of minimizing cost is the primary objective. Humanitarian relief is complicated by the presence of multiple objectives beyond minimizing cost. Routing and allocation decisions should result in quick and sufficient distribution of relief supplies with a focus on equitable service to all aid recipients. However quantifying such goals can be challenging. In this paper we define and formulate performance metrics in relief distribution. We focus on efficacy (i.e. the extent to which the goals of quick and sufficient distribution are met) and equity (i.e. the extent to which all recipients receive comparable service). We explore how efficiency efficacy and equity influence the structure of vehicle routes and the distribution of resources. We identify trends and routing principles for humanitarian relief based on the analytical properties of the resulting problems and a series of computational tests. (C) 2011 Elsevier Ltd. All rights reserved.
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    Article
    Citation Count: 100
    Supplier Selection for Framework Agreements in Humanitarian Relief
    (Wiley-Blackwell, 2014) Balcik, Burcu; Ak, Deniz
    In this study we consider the supplier selection problem of a relief organization that wants to establish framework agreements (FAs) with a number of suppliers to ensure quick and cost-effective procurement of relief supplies in responding to sudden-onset disasters. Motivated by the FAs in relief practice we focus on a quantity flexibility contract in which the relief organization commits to purchase a minimum total quantity from each framework supplier over a fixed agreement horizon and in return the suppliers reserve capacity for the organization and promise to deliver items according to pre-specified agreement terms. Due to the uncertainties in demand locations and amounts it may be challenging for relief organizations to assess candidate suppliers and the offered agreement terms. We use a scenario-based approach to represent demand uncertainty and develop a stochastic programming model that selects framework suppliers to minimize expected procurement and agreement costs while meeting service requirements. We perform numerical experiments to understand the implications of agreement terms in different settings. The results show that supplier selection decisions and costs are generally more sensitive to the changes in agreement terms in settings with high-impact disasters. Finally we illustrate the applicability of our model on a case study.