Using announcement options in the bid construction phase for disaster relief procurement

Ertem, Mustafa Alp; Buyurgan, Nebil; Pohl, Edward A.

doi:10.1016/j.seps.2012.03.004

Cited by 21 publications

(10 citation statements)

References 28 publications

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“…Due to the aforementioned reasons in the previous section, pre-disaster procurement is not sufficient alone and post-disaster procurement is unavoidable due to unpredictability of relief demand raised by disasters. Thus, the recent studies have highlighted the post-disaster supply policies mainly in the form of reverse auctions (Ertem et al , 2012; Shokr and Torabi, 2017; Dabbagh et al , 2018) and their integration with the relief prepositioning and contractual agreements at pre-disaster (Balcik and Ak, 2014; Wang et al , 2015; Hu et al , 2017; Torabi et al , 2018; Hu and Dong, 2019). Most of the relevant studies are based on auction and non-auction approaches, which are reviewed at below.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Two integer programming formulations were developed for the bid construction and bid evaluation phases. Ertem et al (2012) presented an analysis of the bid construction phase of procurement auctions in humanitarian logistics with considering substitution and partial fulfillment options. They used three solution approaches including a genetic algorithm, a simulated annealing algorithm and an integer programming model for the analysis of the bid construction phase with different announcement options.…”

Section: Literature Reviewmentioning

confidence: 99%

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A mixed procurement model for humanitarian relief chains

Aghajani

Torabi

2019

JHLSCM

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Purpose The purpose of this paper is to improve the relief procurement process as one of the most important elements of humanitarian logistics. For doing so, a novel two-round decision model is developed to capture the dynamic nature of the relief procurement process by allowing demand updating. The model accounts for the supply priority of items at response phase as well. Design/methodology/approach A mixed procurement/supply policy is developed through a mathematical model, which includes spot market procurement and a novel procurement auction mechanism combining the concepts of multi-attribute and combinatorial reverse auctions. The model is of bi-objective mixed-integer non-linear programming type, which is solved through the weighted augmented e-constraint method. A case study is also provided to illustrate the applicability of the model. Findings This study demonstrates the ability of proposed approach to model post-disaster procurement which considers the dynamic environment of the relief logistics. The sensitivity analyses provide useful managerial insights for decision makers by studying the impacts of critical parameters on the solutions. Originality/value This paper proposes a novel reverse auction framework for relief procurement in the form of a multi-attribute combinatorial auction. Also, to deal with dynamic environment in the post-disaster procurement, a novel two-period programming model with demand updating is proposed. Finally, by considering the priority of relief items and model’s applicability in the setting of relief logistics, post-disaster horizon is divided into three periods and a mixed procurement strategy is developed to determine an appropriate supply policy for each period.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A mixed procurement model for humanitarian relief chains

Aghajani

Torabi

2019

JHLSCM

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“…The coordination between the agencies is also affected due to the need to satisfy the 'customers' (aid recipients and donors) at the both end of HSC and the lack of trust among the agencies. Since HSC considers both aid recipients and the donors as customers (Van Wassenhove, 2006), catering to the donor requirements often conflicts with beneficiary requirements and hampers the coordination between the agencies (Ertem et al, 2012). The agencies that participate in the HSC activities have varied specialisation with each agency specialising in a limited range of activities in disaster management (Day et al, 2012).…”

Section: Streamlining Conflicting Ommentioning

confidence: 99%

Coordination quality index: a metric for measuring the quality of coordination efforts in humanitarian supply chain

John

Gurumurthy

Soni

2018

IJIE

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The effectiveness of the coordination practice has a direct consequence on the performance of humanitarian supply chain operations and it becomes imperative for the managers to quantify the effectiveness of the coordination activities. This study aims to provide humanitarian agencies with a tool to measure effectiveness of its coordination strategies. Coordination quality index (CQI) is introduced as an aggregate measure of the degree of implementation of various coordination practices carried out. Furthermore, the application of the proposed methodology is demonstrated in the setting of Chennai flood relief activities. The results indicate that the overall quality score obtained for coordination during the Chennai floods was moderate to low. The major reason for the poor coordination was due to poor information sharing, large diversity of actors and lack of streamlined organisational mandates. It also found that, though there were efforts to improve coordination, the expected benefits of these activities were not achieved.

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“…There are a number of articles focusing on different subtopics of aid chain flows. Some investigate the material procurement related issues (e.g., Campbell and Jones, 2011;Chang et al, 2010;Ertem et al, 2012); while others study inventory management and material distribution (e.g., Taskin and Lodree, 2011;Rottkemper et al, 2011).…”

Section: Flows and Distributionmentioning

confidence: 99%