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Purpose The purpose of this paper is to give an up-to-date and structured insight into the literature published during the past decade on sustainable green supply chain management. It also suggests trends for future research based on the research issues identified through systematic and comprehensive analysis of previous studies in the area of green and sustainable supply chain management. Design/methodology/approach A state-of-the-art literature review is carried out by systematically collecting the existing literature over a period of 10 years (2005-2014) and categorizing it on the basis of attributes such as stages in supply chain, methodology and the industries/sectors under consideration. The classification of literature is also done according to the geographic region and year of publication. Findings There has been an increased interest among researchers and practitioners in the area of sustainable green supply chain management in the past decade. A need for achieving sustainability through adoption of greener practices has been universally felt, owing to an increasing environmental and ecological complexity. The review reveals that there exists a need to address behavioural issues like human resource management and supply chain partner relationship management. Moreover, reverse logistics, closed-loop supply chain management and waste management are areas that need special focus to achieve environmental sustainability. Research limitations/implications The current review focuses on research trends in the past 10 years only. Moreover, papers from only good quality, peer-reviewed journals are considered in the study. Originality/value Most of the previous reviews have either focused on specific issues related to sustainable supply chains only or green supply chains. The present study collectively takes into consideration papers both from green supply chain management as well as from sustainable supply chain literature that have a prime focus on environmental sustainability.

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Every year, more than 400 natural disasters affect global population. Adopting a resilient approach strengthens communities to survive and recover well from destabilizing events. Disasters destroy or damage houses and infrastructure, which calls for arrangement of temporary establishments to provide immediate evacuation and shelter to affected population. These sites are vital for an effective relief and must be strategically planned. Communities living in disaster-prone areas should prepare themselves well in advance for any future catastrophic event. This study adopts a hybrid group decision support approach for emergency shelter site selection problem. Initially, relevant factors for locating potential sites are identified by reviewing extant literature and through consultation from a panel of disaster management experts. Next, fuzzy analytic hierarchy process theory and technique for order preference by similarity to ideal solution have been used to prioritize identified criteria and to evaluate potential locations for displacement sites. A case study of the recent Nepal earthquake has been used to illustrate the effectiveness of the proposed model. The model offers a resilience building approach to prepare communities for any future contingency by proposing and prioritizing a set of planned displacement sites. KEYWORDSAHP, emergency shelters, fuzzy sets, group decision support, humanitarian logistics, TOPSIS | INTRODUCTIONA disaster can be defined as "a sudden, calamitous event that seriously disrupts the functioning of a community or society and causes human, material, and economic or environmental losses that exceed the community's or society's ability to cope using its own resources" (IFRC, 2015). There has been a significant increase in the number of disasters over the past decade: from fewer than 50 disasters per year reported in 1950 to more than 400 disasters in 2010 (EM-DAT, 2015). In view of this environmental uncertainty, the need to foster resilience amongst communities has been an area of attention amongst researchers, practitioners, and policy makers. The resilience approach has found applications in various fields and disciplines, resulting in multiple definitions of the concept (Norris, Tracy, & Galea, 2009).According to disaster risk management literature, resilience refers to the capacity of a society to "bounce back," resist, cope, and recover quickly from the impacts of hazards (Bruneau et al., 2003;Klein, Nicholls, & Thomalla, 2003;Timmerman, 1981). It is determined by the capacity of a social system to improve risk-reduction measures and learn from past disasters (United Nations International Strategy for Disaster Reduction, 2007). Another crucial aspect of resilience that has not been emphasized much in contemporary disaster resilience conceptualization is focus on preparedness (Aldunce, Beilin, Handmer, & Howden, 2014). Social systems should have sufficient capacity to prepare in order to mitigate and minimize losses, suffering, and social disruption (Bruneau et al., 2003; Inte...

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The objective is to perform an experimental and numerical study to analyze short-pulse laser propagation through tissue phantoms without and with inhomogeneities embedded in them. For a short-pulse laser the observed optical signal has a distinct temporal shape, and the shape is a function of the medium properties. The scattered temporal transmitted and reflected optical signals are measured experimentally with a streak camera for tissue phantoms irradiated with a short-pulse laser source. A parametric study involving different scattering and absorption coefficients of tissue phantoms and inhomogeneities, as well as the detector positions and orientations, is performed. The temporal and spatial profiles of the scattered optical signals are compared with the numerical modeling results obtained by solving the transient radiative transport equation by using the discrete ordinates technique.