90 research outputs found
Model of Ecotourism Management in Small Islands of Bunaken National Park, North Sulawesi
The Bunaken National Park is one of the famous national park for tourism in North Sulawesi, Indonesia. The abundance natural resources is one of the crucial natural attraction for tourism in Bunaken. Tourism in Bunaken contributes significantly in local economic development. In the same situation, however, tourism contributes negatively to environment. Tourist activities contributes significantly in coral reef covers. Utilization of natural resources as an object and attraction needs to be done carefully, taking into account the balance of ecological, socio-economic and socio-cultural. The concept of ecotourism with three aspects of development were important in aspect in Bunaken National Park tourism development. The management of the park tour needs to be done based on the concept and principles of ecotourism. The Bunaken National Park tourist management model simulated by the dynamic system with the Powersim Constructor software show the number of tourist 2035 reached 27,152.98, extensive coral cover 447.87ha, the local community incomes Rp 15,834,861,419.63 and government revenues Rp 1,751,770,691.04. Keywords: conservation area, ecotourism, powersim model, sustainable management
Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm
This is the author’s version of a work that was accepted for publication in Robotics and Computer-Integrated Manufacturing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Robotics and Computer-Integrated Manufacturing, [Volume 29, Issue 5, October 2013, Pages 418–429] DOI10.1016/j.rcim.2013.04.001[EN] The traditional production scheduling problem considers performance
indicators such as processing time, cost and quality as optimization objectives in
manufacturing systems; however, it does not take energy consumption and
environmental impacts into account completely. Therefore, this paper proposes an
energy-efficient model for flexible flow-shop scheduling (FFS). First, a mathematical
model for a FFS problem, which is based on an energy-efficient mechanism, is
described to solve multi-objective optimization. Since FFS is well known as the NPhard
problem, an improved genetic-simulated annealing algorithm is adopted to make
a significant trade-off between the makespan and the total energy consumption for
implementing a feasible scheduling. Finally, a case study of production scheduling
problem for metalworking workshop in a plant is simulated. The experimental results
show the relationship between the makespan and the energy consumption is
conflicting apparently. Moreover, an energy saving decision is performed in a feasible
scheduling. Using the decision method, there can be a significant potential to
minimize energy consumption while complying with the conflicting relationshipThis research was carried out as a part of the CASES project which is supported by a Marie Curie International Research Staff Exchange Scheme Fellowship within the 7th European Community Framework Program under the Grant agreement no 294931. This research was also supported by National Science Foundation of China (No. 51175262), Jiangsu Province Science Foundation for Excellent Youths (No. BK201210111), Jiangsu Province Industry-Academy-Research Grant (No. BY201220116), the NUAA Fundamental Research Fund (No. NS2013053), the Project Funded by Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), and the research project TIN2010-20976-C02-01 (Ministry of Science and Innovation, Spain).Dai, M.; Tang, D.; Giret Boggino, AS.; Salido Gregorio, MA.; Li, W. (2013). Energy-efficient scheduling for a flexible flow shop using an improved genetic-simulated annealing algorithm. Robotics and Computer-Integrated Manufacturing. 29(5):418-429. https://doi.org/10.1016/j.rcim.2013.04.001S41842929
Five characteristics of youth unemployment in Europe
Current levels of youth unemployment need to be understood in the context of increased labor market flexibility, an expansion of higher education, youth migration, and family legacies of long-term unemployment. Compared with previous recessions, European-wide policies and investments have significantly increased with attempts to support national policies. By mapping these developments and debates, we illustrate the different factors shaping the future of European labor markets. We argue that understanding youth unemployment requires a holistic approach that combines an analysis of changes in the economic sphere around labor market flexibility, skills attainment, and employer demand, as well as understanding the impact of family legacies affecting increasingly polarized trajectories for young people today. The success of EU policy initiatives and investments will be shaped by the ability of national actors to implement these effectively
The Role of Risk Aversion and Lay Risk in the Probabilistic Externality Assessment for Oil Tanker Routes to Europe
Cost Effectiveness in River Management: Evaluation of Integrated River Policy System in Tidal Ouse
Marginal Cost versus Average Cost Pricing with Climatic Shocks in Senegal: A Dynamic Computable General Equilibrium Model Applied to Water
A Future for the Dead Sea Basin: Water Culture among Israelis, Palestinians and Jordanians
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