By Christopher W. Zobel, Nezih Altay, Mark P. Haselkorn
This quantity offers a survey of present examine difficulties and ends up in humanitarian operations learn. also, it discusses present functions of humanitarian operations study, and considers new study efforts that in actual fact expand present study and purposes. The ebook is split into 3 sections that offer an summary of the topic, a glance on the conception, and an exam of applications.
The review part offers chapters on modeling techniques and metrics to guage nonprofit operations; leader findings of fieldwork study in catastrophe reaction logistics; using funds as a sort of reduction; and measuring markets that offer cash-based humanitarian interventions.
The conception part contains chapters that study the associate proliferation challenge in catastrophe reaction networks; a case learn of humanitarian logistics that examines how humanitarian tradition informs switch adoption; and a glance on the present state-of-the-art for info visibility in humanitarian operations.
Finally, the applying part specializes in blood items, vaccines, and meals guidance, with person chapters on effective inventorying and distribution of blood items in the course of mess ups; an in depth examine modeling within the context of the vaccine provide chain; a framework for attaining fairness, effectiveness, and potency in nutrition financial institution operations; and a spatio-temporal vulnerabili
ty review of the resilience of a inhabitants suffering from surprising loss of food.
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Additional resources for Advances in Managing Humanitarian Operations
5 some cases, as in Mandell (1991), the Gini coefficient can be applied without referencing the Lorenz curve. This index is defined as G = ∑∑ i j >i | q j Si − qi S j | ∑ i Si where Qi is the number of individuals contained in area i, qi = Qi ∑ j Qj is the pro- portion of individuals in area i and Si is the number of service units received in area i. 1). In location problems, inequality metrics are often jointly used with other types of metrics. For example, Ogryczak (2000) develops a multiple criteria model where all distances among service recipients are considered as the set of uniform criteria Fig.
Sen (1976) analyzes the shortcomings of these and similar measures and introduces an axiomatic approach to poverty measures. Foster et al. (1984) study a popular class of poverty measures called decomposable poverty measures that accomplish some of Sen’s axioms. An example is the normalized weighted sum of the income shortfalls of the 1 q g α poor Pα ( y; z ) = ∑ i −1 zi , where α ≥ 0 is a measure of poverty aversion. For n detailed analysis of the advantages and shortcomings of several poverty measures refer to Clark et al.
Sometimes this amount is fixed to zero. James and Rose-Ackerman (1986) refer to three different well-known economic models with a profit-constrained firm structure: 1 Refer to Berenguer et al. (2014) for an overview of the most recurrent challenges in nonprofit operations and managerial strategies that help address each challenge. 12 G. Berenguer • The Baumol’s sales-maximizing firm model assumes oligopolistic markets where the firm attempts to maximize sales subject to a minimum profit constraint (Baumol 1967).
Advances in Managing Humanitarian Operations by Christopher W. Zobel, Nezih Altay, Mark P. Haselkorn