The Experts below are selected from a list of 133626 Experts worldwide ranked by ideXlab platform
Ran Jing - One of the best experts on this subject based on the ideXlab platform.
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sustainable strategy for municipal solid Waste Disposal in hong kong current practices and future perspectives
Environmental Science and Pollution Research, 2020Co-Authors: Ran Jing, Tongzhou Liu, Xin Tian, Hamidreza Rezaei, Chen Yuan, Jin Qian, Zhen ZhangAbstract:Hong Kong (HK) is confronted by increasing problems of solid Waste Disposal, as it is an overpopulated city with limited land resources. Currently, solid Waste Disposal mainly relies on three landfills located in the New Territories. However, the current Waste treatment facilities and policies cannot appropriately control and manage increments of solid Waste. The primary reason is the increased amount of municipal solid Waste (MSW) caused by the growth of the population and the economy, with food Waste accounting for the largest proportion of MSW in HK. The secondary reason is that the capacity of existing landfills will be exhausted in the near future as the level of Waste generated continues to grow. To deal with these problems, in this paper, we propose five approaches with the aim of identifying the most sustainable strategy for efficient solid Waste Disposal in HK: a food Waste recycling program; an MSW charging scheme; the implementation of incineration plants (i.e., Waste to energy); black soldier fly bioconversion and a Waste trading scheme; and black soldier fly bioconversion and a hybrid anaerobic digestion system. This is followed by a detailed demonstration of each approach, particularly focusing on the benefits, limitations, and implementation of each in the case of HK. The results of this study may shed light on how to effectively and sustainably manage the increasing amount of solid Waste in HK.
Minglang Tseng - One of the best experts on this subject based on the ideXlab platform.
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sustainable municipal solid Waste Disposal in the belt and road initiative a preliminary proposal for chengdu city
Sustainability, 2018Co-Authors: Junhan Huang, Rui Zhao, Tao Huang, Xiaoqian Wang, Minglang TsengAbstract:The Chinese green Belt and Road initiative is promoted. This study takes Chengdu as a key hub under the Belt and Road initiative. The municipal solid Waste Disposal is the point to control pollution and move toward sustainability. Hence, sustainable municipal solid Waste Disposal needs to be studied. The prior studies are absent in the planning scenarios analysis. This study proposes a case study to propose three planning scenarios for Waste Disposal to enhance its sustainability. Scenario 1 represents the current Waste Disposal mode in Chengdu; Scenario 2 considers all the Wastes being incinerated; and Scenario 3 focuses on the incorporation of three Disposal methods, i.e., anaerobic digestion, incineration, and landfilling. These three scenarios are assessed based on their greenhouse gas emissions, costs, and public acceptance, to determine the optimality for future managerial practice. Results indicated that Scenario 3 has the highest overall efficiency, yet is challenging in terms of economic feasibility. The limitations of the study are also discussed.
Porntep Khokhajaikiat - One of the best experts on this subject based on the ideXlab platform.
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Solving a multi-objective location routing problem for infectious Waste Disposal using hybrid goal programming and hybrid genetic algorithm
International Journal of Industrial Engineering Computations, 2018Co-Authors: Narong Wichapa, Porntep KhokhajaikiatAbstract:Infectious Waste Disposal remains one of the most serious problems in the medical, social and environmental domains of almost every country. Selection of new suitable locations and finding the optimal set of transport routes for a fleet of vehicles to transport infectious Waste material, location routing problem for infectious Waste Disposal, is one of the major problems in hazardous Waste management. Determining locations for infectious Waste Disposal is a difficult and complex process, because it requires combining both intangible and tangible factors. Additionally, it depends on several criteria and various regulations. This facility location problem for infectious Waste Disposal is complicated, and it cannot be addressed using any stand-alone technique. Based on a case study, 107 hospitals and 6 candidate municipalities in Upper-Northeastern Thailand, we considered criteria such as infrastructure, geology and social & environmental criteria, evaluating global priority weights using the fuzzy analytical hierarchy process (Fuzzy AHP). After that, a new multi-objective facility location problem model which hybridizes fuzzy AHP and goal programming (GP), namely the HGP model, was tested. Finally, the vehicle routing problem (VRP) for a case study was formulated, and it was tested using a hybrid genetic algorithm (HGA) which hybridizes the push forward insertion heuristic (PFIH), genetic algorithm (GA) and three local searches including 2-opt, insertion-move and interexchange-move. The results show that both the HGP and HGA can lead to select new suitable locations and to find the optimal set of transport routes for vehicles delivering infectious Waste material. The novelty of the proposed methodologies, HGP, is the simultaneous combination of relevant factors that are difficult to interpret and cost factors in order to determine new suitable locations, and HGA can be applied to determine the transport routes which provide a minimum number of vehicles and minimum transportation cost under the actual situation efficiently in this case
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solving multi objective facility location problem using the fuzzy analytical hierarchy process and goal programming a case study on infectious Waste Disposal centers
Operations Research Perspectives, 2017Co-Authors: Narong Wichapa, Porntep KhokhajaikiatAbstract:The selection of a suitable location for infectious Waste Disposal is one of the major problems in Waste management. Determining the location of infectious Waste Disposal centers is a difficult and complex process because it requires combining social and environmental factors that are hard to interpret, and cost factors that require the allocation of resources. Additionally, it depends on several regulations. Based on the actual conditions of a case study, forty hospitals and three candidate municipalities in the sub-Northeast region of Thailand, we considered multiple factors such as infrastructure, geological and social & environmental factors, calculating global priority weights using the fuzzy analytical hierarchy process (FAHP). After that, a new multi-objective facility location problem model which combines FAHP and goal programming (GP), namely the FAHP-GP model, was tested. The proposed model can lead to selecting new suitable locations for infectious Waste Disposal by considering both total cost and final priority weight objectives. The novelty of the proposed model is the simultaneous combination of relevant factors that are difficult to interpret and cost factors, which require the allocation of resources.
Zhen Zhang - One of the best experts on this subject based on the ideXlab platform.
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sustainable strategy for municipal solid Waste Disposal in hong kong current practices and future perspectives
Environmental Science and Pollution Research, 2020Co-Authors: Ran Jing, Tongzhou Liu, Xin Tian, Hamidreza Rezaei, Chen Yuan, Jin Qian, Zhen ZhangAbstract:Hong Kong (HK) is confronted by increasing problems of solid Waste Disposal, as it is an overpopulated city with limited land resources. Currently, solid Waste Disposal mainly relies on three landfills located in the New Territories. However, the current Waste treatment facilities and policies cannot appropriately control and manage increments of solid Waste. The primary reason is the increased amount of municipal solid Waste (MSW) caused by the growth of the population and the economy, with food Waste accounting for the largest proportion of MSW in HK. The secondary reason is that the capacity of existing landfills will be exhausted in the near future as the level of Waste generated continues to grow. To deal with these problems, in this paper, we propose five approaches with the aim of identifying the most sustainable strategy for efficient solid Waste Disposal in HK: a food Waste recycling program; an MSW charging scheme; the implementation of incineration plants (i.e., Waste to energy); black soldier fly bioconversion and a Waste trading scheme; and black soldier fly bioconversion and a hybrid anaerobic digestion system. This is followed by a detailed demonstration of each approach, particularly focusing on the benefits, limitations, and implementation of each in the case of HK. The results of this study may shed light on how to effectively and sustainably manage the increasing amount of solid Waste in HK.
Edmundas Kazimieras Zavadskas - One of the best experts on this subject based on the ideXlab platform.
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a novel edas approach on intuitionistic fuzzy set for assessment of health care Waste Disposal technology using new parametric divergence measures
Journal of Cleaner Production, 2020Co-Authors: Arunodaya Raj Mishra, Abbas Mardani, Pratibha Rani, Edmundas Kazimieras ZavadskasAbstract:Abstract Nowadays, health-care Waste management is a challenging issue for both the public and government sectors because it contains infectious, radioactive, or hazardous Waste. Selecting a suitable method for health-care Waste Disposal is known as a complex decision-making problem due to the existence of several multiple criteria that may in conflict with each other. In this paper, we propose a novel method called evaluation based on distance from average solution framework based on parametric divergence measures with the context of intuitionistic fuzzy sets to evaluate and rank the health-care Waste Disposal alternative. To do this, first, novel parametric intuitionistic fuzzy divergence measures are developed, and various desired properties have also been examined. Second, the decision experts are evaluated, and the criteria weights are computed by developed parametric divergence measure method. Third, the preference order of the alternatives is illustrated by the developed framework. The proposed framework is based on the positive and negative distances from the average solution. Moreover, the health-care Waste Disposal alternative selection problem is considered to elucidate the applicability of the proposed framework. Four health-care Waste Disposal alternatives, including incineration, steam sterilization, microwave and landfill Disposal, are considered in this study. The health-care Waste Disposal alternatives considered in this study include. The outcome illustrates that, the steam sterilization was the highest appraisal score (0.7025) and therefore, it should be chosen as the most suitable health-care Waste Disposal method in this study. Also, a comparison with existing approaches is shown to illustrate the validity and practicability of the developed framework.
