Measuring humanitarian supply chain performance in a multi-goal context

Haavisto, Ira; Goentzel, Jarrod

doi:10.1108/jhlscm-07-2015-0028

Cited by 61 publications

(51 citation statements)

References 69 publications

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“…They conclude that the literature focuses on theory and models, with limited application to actual humanitarian supply chains, and that further work is needed in applying mathematical and stochastic programming for performance measurement. Haavisto and Goentzel (2015) offer a more recent review and identify the challenges of aligning goals within an organization. The difficulty of aligning goals is one reason that the humanitarian logistics literature focuses on performance measurement within an organization rather than across the sector.…”

Section: Methodsmentioning

confidence: 99%

Models and metrics to assess humanitarian response capacity

Acimovic

Goentzel

2016

J of Ops Management

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The race to meet vital needs following sudden onset disasters leads response organizations to establish stockpiles of inventory that can be deployed immediately. These government or non-government organizations dynamically make stockpile decisions independently. Even though the value of one organization's stock deployment is contingent on others' decisions, decision makers lack evidence regarding sector capacity to assess the marginal contribution (positive or negative) of their action. To our knowledge, there exist no metrics describing the system capacity across many agents to respond to disasters. To address this gap, our analytical approach yields new humanitarian logistics metrics based on stochastic optimization models. Our study incorporates empirical data on inventory stored by various organizations in United Nations facilities and in their own warehouses to offer practical insights regarding the current humanitarian response capabilities and strategies. By repositioning inventory already deployed, the system could respond to disasters in the same expected time with a range of 7.4%e20.0% lower cost for the items in our sample.

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Section: Methodsmentioning

confidence: 99%

Models and metrics to assess humanitarian response capacity

Acimovic

Goentzel

2016

J of Ops Management

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“…Haavisto y Goentzel [17] proponen la medición del desempeño en el envío de suministro en acciones humanitarias en base a indicadores que contemplan la dimensión social, económica y ambiental. De esta manera, se busca evaluar las acciones realizadas en los desastres periódicamente para el diseño de estrategias que aseguren la efectividad en las acciones humanitarias [12].…”

Section: B Cadena De Suministro Humanitariaunclassified

Gestión de la ayuda humanitaria ante inundaciones causadas por el Fenómeno del Niño, mediante la óptima localización de sensores en las quebradas y ríos - caso del desborde del río Piura

Ciprian¹,

Luque²,

Polo³

2020

Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education, and Technology: Engineering, Integrat

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The year 2017 was a year in which El Niño phenomenon was the cause of a situation of great tension in departments such as Piura, Lambayeque, La Libertad, and Lima, leaving more than 1.7 million people affected [1]. This event represents the starting point for the execution of an adequate system of prevention and evacuation, which leads to a rehabilitation stage characterized by the minimization of the response time of humanitarian aid, and the reduction of the impact on the population. This investigation proposes a methodology, focused on the case of the overflow of the Piura river, which seeks to achieve this minimization by locating sensors that measure in real time the flow and level of flow in streams and rivers. Its use represents the beginning of a prevention system to operate as part of a management system of risk alert for the population when the river reaches a certain level, and that added to the flow with which the currents come, generate an estimated time in which the overflow will occur. In this way, it will proceed to an early evacuation of all the inhabitants, and the proper management of humanitarian aid to the places of refuge. A model that combines linear programming with statistical and mathematical concepts is proposed, with the objective of implementing a warning risk management, and an adequate evacuation that generates a greater number of people who receive the necessary help in a shorter time, thus achieving that this research be a replicable proposal before future El Niño events in Peru.

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“…Questioning how supply chain performance can be measured in a humanitarian context where operations simultaneously have multiple goals, Haavisto and Goentzal (2015) observed that the holistic perspective is not much considered in performance measurement of HSCs. Of the thirteen HSC performance measures that they identified in the literature, only two-efficiency and sustainability, can be said to be directly linked to sustainability.…”

Section: Performance Measurement and Sustainable Humanitarian Supply mentioning

confidence: 99%

A multicriteria Master Planning DSS for a sustainable humanitarian supply chain

et al. 2018

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Humanitarian supply chains (HSCs) contribute significantly to achieving effective and rapid responses to natural and man-made disasters. Though humanitarian organizations have during the last decades made considerable efforts to improve the response to crises in terms of effectiveness and efficiency, HSCs are still faced with so many challenges, one of which is the incorporation of sustainability dimensions (economic, social and environmental) in the management of their supply chains. In the literature, some authors have highlighted that the planning and achievement of sustainability performance objectives in humanitarian operations is hindered by the lack of decision support systems (DSS). Therefore, this paper proposes a multi-objective Master Planning DSS for managing sustainable HSCs. This Master Planning DSS includes: (1) the definition of a set of metrics for measuring the performance of a sustainable HSC; (2) an algorithm to solve the multi-objective problem; and (3) a Master Planning mathematical model to support the tactical planning of the sustainable HSC. Using the information gathered from field research and the literature, an illustrative numerical example is presented to demonstrate the implementation and utility of the proposed DSS. The results show that the order in which the three sustainability dimensions (economic, social B Uche Okongwu

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Measuring humanitarian supply chain performance in a multi-goal context

Cited by 61 publications

References 69 publications

Models and metrics to assess humanitarian response capacity

Models and metrics to assess humanitarian response capacity

Gestión de la ayuda humanitaria ante inundaciones causadas por el Fenómeno del Niño, mediante la óptima localización de sensores en las quebradas y ríos - caso del desborde del río Piura

A multicriteria Master Planning DSS for a sustainable humanitarian supply chain

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