By Christopher W. Zobel, Nezih Altay, Mark P. Haselkorn
This quantity offers a survey of present examine difficulties and ends up in humanitarian operations study. also, it discusses latest functions of humanitarian operations learn, and considers new examine efforts that sincerely expand current examine and functions. The publication is split into 3 sections that offer an outline of the topic, a glance on the conception, and an exam of applications.
The review part provides chapters on modeling methods and metrics to judge nonprofit operations; leader findings of fieldwork study in catastrophe reaction logistics; using money as a kind of aid; and measuring markets that offer cash-based humanitarian interventions.
The conception part contains chapters that study the companion proliferation challenge in catastrophe reaction networks; a case learn of humanitarian logistics that examines how humanitarian tradition informs swap adoption; and a glance on the present cutting-edge for info visibility in humanitarian operations.
Finally, the applying part makes a speciality of blood items, vaccines, and meals suggestions, with person chapters on effective inventorying and distribution of blood items in the course of failures; a close examine modeling within the context of the vaccine offer chain; a framework for reaching 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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Extra info for Advances in Managing Humanitarian Operations
The weighted sum method converts the multi-objective problem of minimizing the vector of objectives into a scalar problem by defining a weighted sum of all the objectives. Using a standard optimization method the problem can be optimized. This method cannot guarantee to be able to obtain some of the solutions when the boundary of the feasible set of the problem is non-convex. • The ε-constraint method consists in minimizing one objective and expressing the other objectives in the form of inequality constraints such that the value of each objective has to be smaller or equal than ε.
Sustainability in supply chains is reviewed by different publications such as Kleindorfer et al. (2005) and Seuring and Müller (2008). The latter defines sustainable supply chain management as “the management of material, information and capital flows as well as cooperation among companies along the supply chain while taking goals from three dimensions of sustainable development: economic, environmental, and social”. These three dimensions are also used as a framework in Clift (2003) to review metrics for supply chain sustainability.
Practitioners might wonder how this improvement can be achieved for DMU E, and this is where the DMUs that are on the efficient frontier located close to E become handy. DMU E can learn from the best practices and strategies implemented by the neighboring efficient DMUs B and C (its reference set) because these DMUs are obtaining higher outputs with similar input levels. In nonprofit operations, a simple example can be found in measuring hospital efficiency, where the input variable could be “resources used in a hospital” and the output variable could be “number of patients treated” (Jacobs 2001).