The coronavirus (COVID-19) disease has caused serious and irreversible damage to the ecotourism industry, posing serious challenges to all parts of the ecotourism supply chain. The ecotourism supply chain is made up of various components, the most important of which are ecotourism centers. During these pandemic times, the primary concerns of these centers are to improve their deplorable economic conditions and retain customers for the post-coronavirus era. As a result, an investigation should be conducted to address these concerns and provide appropriate solutions to help them overcome the challenges that have emerged. To achieve the research goal, a bi-objective mathematical model for the ecotourism supply chain in an uncertain environment is developed, accounting for the effects of COVID-19. The first objective function minimizes the total cost of the supply chain, while the second maximizes customer satisfaction. The proposed mathematical model is solved using a fuzzy goal programming (FGP) method. A sensitivity analysis study is also carried out to examine the performance of some basic parameters. Furthermore, the model is tested in a real case study to determine its efficacy. Finally, some effective managerial insights are proposed to improve the situation of the centers during the pandemic.
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http://dx.doi.org/10.1016/j.asoc.2021.107919 | DOI Listing |
PLoS One
January 2025
Department of Operations Analytics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Integrating Supply Chain Optimization (SCO) with Life Cycle Assessment (LCA) is essential for creating supply chains that are both economically efficient and environmentally sustainable. While SCO focuses on optimizing network structures and decisions related to product and service delivery, LCA systematically assesses the environmental impacts across the entire supply chain. The existing literature treats SCO and LCA as separate, sequential steps, often leading to inconsistencies in scope and challenges in data transfer and rescaling.
View Article and Find Full Text PDFPlant Physiol
January 2025
Rothamsted Research, West Common, Harpenden, Al5 2JQ, UK.
The emerging crop Camelina sativa (L.) Crantz (camelina) is a Brassicaceae oilseed with a rapidly growing reputation for the deployment of advanced lipid biotechnology and metabolic engineering. Camelina is recognised by agronomists for its traits including yield, oil/protein content, drought tolerance, limited input requirements, plasticity and resilience.
View Article and Find Full Text PDFJ Educ Health Promot
November 2024
Department of Nutrition and Dietetic, Ataturk Faculty of Health Sciences, Dicle University, Diyarbakır, Turkey.
Background: The consequences of natural disasters, such as damage to food systems, destruction of transport infrastructure, and organizational issues, can threaten the food security of people. Hence, food security measures are among the most important responses in the management of natural disasters. This study was conducted to identify the challenges in food security response following a great earthquake in Turkey.
View Article and Find Full Text PDFMol Ther Oncol
March 2025
Early Protein Supply and Characterization, Merck Healthcare KGaA, 64293 Darmstadt, Germany.
In this work, we report the discovery and engineering of allosteric variable domains of the heavy chain (VHHs) derived from camelid immunization targeting NKp30, an activating receptor on natural killer (NK) cells. The aim was to enhance NK cell-mediated killing capacities by identifying VHHs that do not compete with the natural ligand of NKp30:B7-H6, thereby maximizing the recognition of B7-H6 tumor cells. By relying on the DuoBody technology, bispecific therapeutic antibodies were engineered, creating a panel of bispecific antibodies against NKp30xEGFR (cetuximab moiety) or NKp30xHER2 (trastuzumab moiety), called natural killer cell engagers (NKCEs).
View Article and Find Full Text PDFHeliyon
January 2025
Department of Industrial Engineering, Istinye University, Istanbul, Turkey.
The recent adoption of modern technologies has led to the fourth industrial revolution or Industry 4.0 (I4.0).
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