•A framework for reverse supply chain of end-of-life vehicles is suggested.•Fuzzy linear programming is applied for modeling and solving.•Numerical examples are presented to demonstrate the approach.
...The rapid development of new technologies, such as the anti-lock braking system, navigation or Global Positioning System, and electronic fuel injection, has shortened the life cycles of vehicles. Currently, the average life cycle of vehicles in Japan is around 10years. Hence, the disposal of end-of-life vehicles (ELVs) has placed heavy pressure on both the environment and human life given its negative effects. To achieve sustainable development, ELVs must be properly handled through depollution, reuse, recovery, or recycling, among others. Considering its efficiency, effectiveness, and practical advantages, reverse supply chain management has been adopted in several industries and viewed as a highly prominent option among suggested tactic solutions for solving this issue. In this study, a model of multi end-of-life vehicle reverse supply chain system with fuzzy parameters is studied. The proposed model is subsequently transformed into the equivalent auxiliary crisp model through an appropriate approach, that is, linear programming with fuzzy parameters, and the final preferred compromise solutions are determined. Finally, a numerical example is presented to illustrate the capability of and provide insights into the proposed model.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Due to Taiwan's limited energy resources, the development of solar photovoltaic (PV) in Taiwan has become one of the most important solutions for meeting future energy supply needs and ensuring ...environmental protection. A huge amount of researches about renewable energy sources has emerged recently in response to these issues. However, the amount of researches considering the effects of various influential parameters on the efficiency and performance of PV systems remains small, and is still limited to some specific parts of PV systems. In particular, researches considering thoughtfully the influence of government subsidies on PV financial assessment are still in development. This paper proposes an approach to analyze the benefit of installing a PV system under the impact of government financial subsidies, focusing especially on feed-in-tariff (FIT) and tax abatement policies for industrial users in Taiwan. In addition, a method for selecting the most appropriate policies is proposed for the government through the analysis of both user demand and the government's PV installation capacity target.
•Analyzing the benefit of installing a PV system impacted by the government subsidy.•Analyzing the role of policy in the financial model of PV system.•Estimating the performance of PV system under the real weather condition.•Methods to select the policies which satisfy demands of both government and users.•Methods to select the policies which ensure cost-effectiveness of government's support.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
This study focuses on solving the vehicle routing problem (VRP) of E-logistics service providers. In our problem, each vehicle must visit some pick up nodes first, for instance, warehouses to pick up ...the orders then makes deliveries for customers in the list. Each pickup node has its own list of more than one customers requiring delivery. The objective is to minimize the total travelling cost while real-world application constraints, such as heterogeneous vehicles, capacity limits, time window, driver working duration, etc. are still considered. This research firstly proposes a mathematical model for this multiple pickup and multiple delivery vehicle routing problem with time window and heterogeneous fleets (MPMDVRPTWHF). In the next step, the ant colony optimization algorithm is studied to solve the problem in the large-scale.
•A reverse supply chain model for electronic waste integrating risks and uncertainties is developed.•Fuzzy approach is adopted to cope with uncertain data.•The proposed model is validated by ...conducting a case study of an electronics company.•The results show that the proposed model can perform better than the current model established by the company.
Reverse supply chains (RSCs) have gained much attention from governments, companies and scholars due to increasing levels of environmental concern, resource depletion and regulation. In Europe and other developed countries, RSCs have been imposed by regulation so that manufacturers take greater responsibility for their end-of-life products. In developing countries like Vietnam, this situation is much more complicated since there are many destinations for end-of-life products other than the take-back systems of their manufacturers. Consequently, product flow quantities to RSC facilities in Vietnam, as well as other parameters, are vague and uncertain. To help electronics companies set up more effective RSCs, this study employs a fuzzy approach to account for such uncertain parameters. Furthermore, risk factors are integrated into the proposed model to make it more comprehensive. The solution approach gives much greater flexibility for decision-makers to obtain a satisfactory solution.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
This paper proposes a potential solution to the traditional method of rice field preparation and management by utilizing unmanned aerial vehicles (UAVs) equipped with RGB and spectral cameras. ...Farmers typically rely on their experience to deal with bad weather and prepare rice fields in the beginning of the season, resulting in time-consuming and inefficient processes. The proposed method uses UAVs to evaluate the rice fields from the start to the middle stages of the season. The UAV flight follows a pre-determined trajectory autonomously, capturing successive images using the attached cameras. In the soil preparation stage, Harralick texture segmentation is used to analyze the roughness of paddy fields’ surfaces (low land, normal land and high land). In this approach, image is segmented first, then areas belonging the same clusters are extracted, manually verified and labelled. These labelled images are used as training data for the proposed model. The result shows that roughness of field surface can be observed clearly with high accuracy at over 90%, with random forest method is at over 97%. In addition to this, the effects of rain and flooding are also considered during the reproductive stages. The results show that the proposed method achieves high accuracy in evaluating rice fields, which can significantly increase efficiency and productivity compared to traditional methods. The study highlights the potential of UAV-based monitoring to provide a cost-effective and efficient way to manage rice fields and improve crop yields, leading to higher food security and sustainable agriculture.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
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