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The purpose of this paper is to highlight the need for an entity to manage airborne relief when a nation’s civil aviation authorities are overwhelmed or incapacitated due to a major rapid-onset disaster.

The paper examines why relief airflow management was so vital during the 2010 Haiti earthquake and how this management was accomplished. The author uses a case study methodology that includes interviews with logistics and aviation experts within the humanitarian and military communities involved in the Haiti relief effort.

The research highlighted an airflow management capability gap within the humanitarian community. The author sets forth several possible alternatives for resolving this gap.

The research is a single case study of the 2010 Haiti earthquake. While performing a multiple case study may have provided more widely applicable conclusions, this case study provides in-depth information applicable to the worst of disasters, where an airflow management capability is most likely to be needed.

While host nation civil aviation authorities retain responsibility for airspace/airflow management after a disaster, these can oft be overwhelmed by the volume of airborne relief flooding the area. Without an entity to assist the affected nation with airflow management, smooth logistical flow of relief goods to those in need can be catastrophically impeded.

Little research exists on disaster relief airflow management or the legitimate need for this capability to be developed within the humanitarian community.

This aim of this work is to investigate different modelling approaches for air-cooled data centres. The study employs three computational methods, which are based on finite element, finite volume and lattice Boltzmann methods and which are respectively implemented via commercial Multiphysics software, open-source computational fluid dynamics code and graphical processing unit-based code developed by the authors. The results focus on comparison of the three methods, all of which include models for turbulence, when applied to two rows of datacom racks with cool air supplied via an underfloor plenum.

This paper studies thermal airflows in a data centre by applying different numerical simulation techniques that are able to analyse the thermal airflow distribution for a simplified layout of datacom racks in the presence of a computer room air conditioner.

Good quantitative agreement between the three methods is seen in terms of the inlet temperatures to the datacom equipment. The computational methods are contrasted in terms of application to thermal management of data centres.

The work demonstrates how the different simulation techniques applied to thermal management of airflow in a data centre can provide valuable design and operational understanding. Basing the analysis on three very different computational approaches is new and would offer an informed understanding of their potential for a class of problems.

The paper aims to capture the rack-level thermal dynamics in data center. It proposes the rack-level response experiments as well as transient Computational Fluid Dynamics (CFD) analysis to characterize the local thermal environment of the system.

A single sever simulator rack and its two neighboring racks with its cold and hot aisle containment have been modeled with known cold air supply temperature and flow rate for transient CFD analysis. The heat load was kept constant initially and varied case-to-case basis, which includes capturing the rack-level response with respect to changes in input. However, the response experiments on simulator rack were performed for 14 h by variation of server heat loads as step and ramp input.

The paper provides the detailed transient CFD analysis of data center racks. The local cold air flow rates and temperature at the vicinity of the racks showed significant effect due to changes in input. It was concluded that the rack-level dynamics impacts the thermal environment of data center and hence cannot be ignored.

The high computing devices and faster internet demands have led to major thermal management concerns for data center operators. To tackle this issue, capturing the system thermal dynamics is imperative. However, the system-level CFD analysis is computationally expensive. Therefore, this paper deals with the rack-level transient CFD study using commercial tool STAR CCM+.

This paper includes the modeling of the servers as a porous media as well as the multigrid method to enhance the computational speed. The successful implementation of this approach validated through experiments. This would help to establish a base for research in any type of data center.

This paper provides the porous media approach to model servers and multigrid method to enhance the computational speed. At the same time, the thought of characterizing the local dynamics at the vicinity of data center racks is unique.

The authors investigate the role of community engagement in the connection between disaster mitigation and disaster preparedness. Using a vulnerability-to-hazard framework built by the European Union, the authors study the case of Aceh province, Indonesia, which was hit hard by Asian tsunami in 2004.

The research design uses a single case study research. The authors study the case of Aceh province, Indonesia, by comparing improvements in disaster mitigation and disaster preparedness in a period longer than ten years beginning in 2004, right before the Asian tsunami that devastated the province. Aware that the connection between mitigation and preparedness is a broad research topic, the authors focus on the domain of pre-disaster evacuation.

The authors find that Aceh province has made substantial improvements in healthcare facilities and road quality (mitigation) as well as early alert systems and evacuation plans (preparedness). Socio-economic indicators of the community have improved substantially as well. However, there is a lack of safe sheltering areas as well as poor road signaling maintenance, which threatens the effectiveness of infrastructural improvements. The authors propose that community engagement would connect disaster mitigation and disaster preparedness. The connecting element is community-based maintenance of critical infrastructure such as road signals, which the government could facilitate by leveraging on operational transparency.

The findings open avenues for future research on the actionable engagement of communities in disaster mitigation and disaster preparedness.

This paper contributes to three areas of humanitarian logistics research: disaster management cycle (DMC), pre-disaster evacuations and community engagement in disaster management.

The purpose of this paper is to review the available reduced order modeling approaches in the literature for predicting the flow and specially temperature fields inside data centers in terms of the involved design parameters.

This paper begins with a motivation for flow/thermal modeling needs for designing an energy‐efficient thermal management system in data centers. Recent studies on air velocity and temperature field simulations in data centers through computational fluid dynamics/heat transfer (CFD/HT) are reviewed. Meta‐modeling and reduced order modeling are tools to generate accurate and rapid surrogate models for a complex system. These tools, with a focus on low‐dimensional models of turbulent flows are reviewed. Reduced order modeling techniques based on turbulent coherent structures identification, in particular the proper orthogonal decomposition (POD) are explained and reviewed in more details. Then, the available approaches for rapid thermal modeling of data centers are reviewed. Finally, recent studies on generating POD‐based reduced order thermal models of data centers are reviewed and representative results are presented and compared for a case study.

It is concluded that low‐dimensional models are needed in order to predict the multi‐parameter dependent thermal behavior of data centers accurately and rapidly for design and control purposes. POD‐based techniques have shown great approximation for multi‐parameter thermal modeling of data centers. It is believed that wavelet‐based techniques due to the their ability to separate between coherent and incoherent structures – something that POD cannot do – can be considered as new promising tools for reduced order thermal modeling of complex electronic systems such as data centers

The paper reviews different numerical methods and provides the reader with some insight for reduced order thermal modeling of complex convective systems such as data centers.

The purpose of this paper is to examine the nature service operations management (OM) and its application to the field of humanitarian operations.

The paper serves as the editorial for this issue of JHLSCM.

The paper suggests that there is an opportunity for service OM academics to apply their knowledge and skills to answer fundamental questions in the humanitarian OM field.

There is a need for a re-conceptualization of the term “humanitarian operations” to include services. Humanitarian OM is not just products but also services.

The paper contributes to the knowledge and applications of services OM in humanitarian operations research. This is the first work to identify how services OM theories can be adopted for humanitarian OM research. This research should serve as a foundation for future research.

The purpose of this paper is to analyze the performance of a data center and thermal management by using phase change material (PCM). Numerical studies were conducted for two dimensional model of data center and installation of PCM at different locations.

Finite volume method was used for the unsteady problem, while impacts of air velocity and PCM location on the flow field, thermal pattern variations and phase change dynamics were evaluated. Three different locations of the PCM were considered while air velocity was also varied during the simulation. Thermal field variations and cooling performance of the system for different PCM location scenarios were compared.

It was observed that the installation of the PCM has significant impacts on the vortex formation, thermal field variation within the system and its performance. The left, right and top wall installation of the PCM changed the thermal patterns near the heat cell of the data centre. The phase change process is fast for the upper wall installation of the PCM, while the discrepancy of the melt fraction dynamics between different air flow at this position is minimum. The case where PCM placed in the upper wall at the highest air velocity is the best configuration in terms of heat storage. The utilization of PCM and changing its locations provide an excellent tool for thermal management and cooling performance of data centre.

Results of this study can be used for initial design and optimization of cooling systems for thermal management of data centers while the importance of the high-performance computing becomes very crucial for the advanced simulations in different technological applications.

Scheduling the airlift of relief supplies into a damaged or small airport during a crisis is complex yet crucial. The volume of cargo and flights can temporarily overwhelm the airport’s capacity and the mix of flights adds complexity. The purpose of this paper is to better characterize airport operations during a crisis, to develop a model that can assess strategies for scheduling flights and to draw implications for decision makers.

First, empirical data are analyzed to characterize airport operations. Previously unreported data from the 2010 Haiti earthquake response in the form of a “flight log” are analyzed to provide new insights and parameters. Alternate scheduling strategies are drawn from review of the literature and After Action Reports. Second, a queuing model is developed to understand operations in past crises and predict the impact of alternate scheduling strategies. Empirical data provide the parameters for airport scenarios evaluated.

Unloading capacity is seen to be the bottleneck but also to not be fully utilized, suggesting that a more aggressive flight schedule is needed. Scheduling flights is shown to be a tradeoff between volume of aid delivered and flights that must be diverted. The proper mix of aircraft and prioritized divert policies also provide benefits. Finally, it is beneficial, though perhaps counterintuitive, to create a parking buffer upstream from the unloading bottleneck.

Analysis of previously unreported data from the Haiti earthquake provides new insights regarding airport parking and unloading operations. A new model of airport scheduling for disaster response is proposed. The model differs from other humanitarian airlift models in that it focuses on aircraft parking and unloading. It differs from commercial aircraft scheduling and gate assignment in the objective used.

Smart tourist destinations (STDs) make use of new technologies to facilitate and improve the experience of tourists. So why not use these technologies to efficiently manage the destination? The aim of this work is to define and implement a methodology that provides value to STDs by defining their most important characteristics to monitor and quantify them automatically in real time.

The authors developed a conceptual framework to the smart tourism approach presented in previous studies, the latest technologies and the application of the smart tourism system (STS). Based on the focus group method with stakeholders from the tourism industry of the Spanish tourist municipality of Puerto de la Cruz, they defined the main KPIs for a municipal STD. Likewise, the authors specified the necessary technologies to obtain, manage and represent the data, and the method for quantifying the quality of the STD by using the AHP method. Lastly, they implemented the framework for the aforementioned municipality.

The implementation in a real context of the STS proposed for Puerto de la Cruz demonstrates its validity and the possibility of adapting it to any other municipal destination. In addition, the authors corroborate how this STS improves on other versions.

This paper provides a theoretical methodology to improve STD management and implements it. Other studies have focused only on the theoretical aspect. Moreover, automated management tools are emerging for STDs, but they lack the quality provided by the scientific approach employed herein.

Outsourcing of logistics has great importance in disaster relief. Aid agencies spend several billion US dollars every year on logistics services. However, the concept of outsourcing has not been established adequately in literature on humanitarian logistics, leading to a fragmented view of the practice. This paper provides a holistic perspective of the concept by constructing a conceptual framework to analyze both practice and research of outsourcing in humanitarian operations. Based on this analysis, we explore future trends and identify research gaps.

The paper is based on a structured review of academic literature, a two-round Delphi study with 31 experts from aid agencies and a complementary full-day focus group with twelve experts from aid agencies and logistics service providers.

The paper systemizes the current practice of outsourcing in humanitarian logistics according to a conceptual framework of five dimensions: subject, object, partner, design and context. In addition, it reveals ten probable developments of the practice over the next years. Finally, it describes eight important research gaps and presents a research agenda for the field.

The literature review considered peer-reviewed academic papers. Practitioner papers could provide additional insights into the practice. Moreover, the Delphi study focused on the perspective of aid agencies. Capturing the views of logistics service providers in more detail would be a valuable addition.

The paper establishes the academic basis for the important practice of outsourcing in humanitarian logistics. It highlights essential research gaps and, thereby, opens up the field for future research.