Coordination, cooperation and collaboration in relief supply chain management

In recent years, an increasing number of natural and man-made disasters has demonstrated that a working relief supply chain management (RSCM) is crucial in order to alleviate the suffering of the affected population. Coordination, cooperation and collaboration within RSCM is essential for overcoming these destructive incidents. This paper explores the research undertaken in recent years, focusing on coordination, cooperation and collaboration in the field of supply chain management (SCM) and RSCM in order to provide unique definitions of these concepts taking the disaster setting into consideration. A systematic literature review including 202 academic papers published from 1996 onwards in top journals dealing with commercial supply and relief supply chain coordination, cooperation and collaboration is applied. In order to answer the underlying research questions in a proper way, a descriptive analysis and qualitative and quantitative content analysis of the papers are conducted. Descriptive results indicate that RSCM coordination, cooperation and collaboration have increasingly shifted into the focus of scientific research since 2001/2004 (i.e., 9/11 and the Indian Ocean Tsunami). Based on the qualitative content analysis, clear definitions of the terms coordination, cooperation and collaboration in SCM and RSCM were elaborated. The research landscape, as a result of the quantitative content analysis, allowed the identification of three issues that need to be addressed in future research work

Biosensors based on SPR Imaging

Surface plasmon resonance (SPR) belongs to the most sensitive detection methods and has been used for more than 20 years to study a variety of chemical and biochemical sensor developments. Now, with the recent introduction of biochips, SPR as a label-free technology for monitoring biomolecular interactions is a promising technique for rapid and parallel detection. SPR imaging using fast optical array detectors permits simultaneous measurements across an array of immobilized molecules. SPR imaging provides excellent spatial resolution at the same sensitivity as classical SPR. These features make SPR imaging a promising detection technology for biochips

Optimal allocation of defibrillator drones in mountainous regions

Responding to emergencies in Alpine terrain is quite challenging as air ambulances and mountain rescue services are often confronted with logistics challenges and adverse weather conditions that extend the response times required to provide life-saving support. Among other medical emergencies, sudden cardiac arrest (SCA) is the most time-sensitive event that requires the quick provision of medical treatment including cardiopulmonary resuscitation and electric shocks by automated external defibrillators (AED). An emerging technology called unmanned aerial vehicles (or drones) is regarded to support mountain rescuers in overcoming the time criticality of these emergencies by reducing the time span between SCA and early defibrillation. A drone that is equipped with a portable AED can fly from a base station to the patient's site where a bystander receives it and starts treatment. This paper considers such a response system and proposes an integer linear program to determine the optimal allocation of drone base stations in a given geographical region. In detail, the developed model follows the objectives to minimize the number of used drones and to minimize the average travel times of defibrillator drones responding to SCA patients. In an example of application, under consideration of historical helicopter response times, the authors test the developed model and demonstrate the capability of drones to speed up the delivery of AEDs to SCA patients. Results indicate that time spans between SCA and early defibrillation can be reduced by the optimal allocation of drone base stations in a given geographical region, thus increasing the survival rate of SCA patients

Sustainable Industry 4.0 in Production and Operations Management: A Systematic Literature Review

This study draws attention to the upcoming changes within sustainable value chains and manufacturing environments caused by the digital transformation. With a special focus on Industry 4.0 (I4.0), the presented study explores the scientific progress within this research field. A systematic literature review approach using a set of predefined keywords and with several exclusion criteria was adopted in order to identify the literature that is related to sustainability in I4.0 and its impact in the area of production and operations management (P&OM). A total of 89 papers from the period 2010–2020 were identified, which were then examined along the lines of the most influential journals, key topics of the selected literature, geographical distribution, and sustainability dimensions. The analysis was executed via bibliometric and text mapping tools, namely NVivo and BibExcel. Furthermore, a focus group discussion with experts from European semiconductor manufacturing companies and researchers from several academic institutions was conducted to derive practical insights. The results of this study will contribute to the evaluation of sustainable I4.0 innovations from the past 10 years. The key issues and research gaps identified in this article will provide a reference point to encourage and guide interested researchers for future studies, thus supporting both theoretical and practical progress in this research area

Collective action for tackling “wicked” social problems: a system dynamics model for corporate community involvement

Although corporations have been often accused of exacerbating social and environmental conditions in developing world regions where they operate, there are companies that sincerely engage in community development initiatives and aim for the delivery of public goods in poor regions. Still there is disquiet on how these companies go about undertaking community development initiatives spawning various forms of criticisms regarding negative side-effects of corporate social action. By means of system dynamics, and based on the longitudinal case study of Tata Chemicals Magadi (Kenya), this paper develops a model of collective action for development. Thereby it sheds light on the variables and mechanisms that are crucial for making community involvement projects an overall success for all actors involved while benefitting the initiating company. The model highlights in particular the importance of “we-feeling” between all relevant stakeholders and of participatory community development capacity. The results indicate that collaborative networks actively including local communities may foster communities’ self-help capacity, while creating a positive feed-back loop to company performance. This study allows exploring new forms of social responsibility that leave behind corporate-focussed models for the sake of inclusive and participatory forms of shared responsibility, which is of relevance on both the academic and practical side, and may also be transferred to an industrialized world context

Genes involved in carnitine synthesis and carnitine uptake are up-regulated in the liver of sows during lactation

BACKGROUND:Convincing evidence exist that carnitine synthesis and uptake of carnitine into cells is regulated by peroxisome proliferator-activated receptor alpha (PPARA), a transcription factor which is physiologically activated during fasting or energy deprivation. Sows are typically in a negative energy balance during peak lactation. We investigated the hypothesis that genes involved in carnitine synthesis and uptake in the liver of sows are up-regulated during peak lactation. FINDINGS:Transcript levels of several PPARalpha target genes involved in fatty acid uptake (FABP4, SLC25A20), fatty acid oxidation (ACOX1, CYP4A24) and ketogenesis (HMGCS2, FGF21) were elevated in the liver of lactating compared to non-lactating sows (P < 0.05). In addition, transcript levels of genes involved in carnitine synthesis (ALDH9A1, TMLHE, BBOX1) and carnitine uptake (SLC22A5) in the liver were greater in lactating than in non-lactating sows (P < 0.05). Carnitine concentrations in liver and plasma were about 20% and 50%, respectively, lower in lactating than in non-lactating sows (P < 0.05), which is likely due to an increased loss of carnitine via the milk. CONCLUSIONS:The results of the present study show that PPARalpha is activated in the liver of sows during lactation which leads to an up-regulation of genes involved in carnitine synthesis and carnitine uptake. The PPARalpha mediated up-regulation of genes involved in carnitine synthesis and uptake in the liver of lactating sows may be regarded as an adaptive mechanism to maintain hepatic carnitine levels at a level sufficient to transport excessive amounts of fatty acids into the mitochondrion