Prediction analysis of solid waste generation based on grey fuzzy dynamic modeling

Chen, Ho‐Wen; Chang, Ni‐Bin

doi:10.1016/s0921-3449(99)00052-x

Cited by 117 publications

(46 citation statements)

References 13 publications

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“…The modeling results are directly useful for associated system planning with regard to site selection and capacity planning of Material Recovery Facility in the near future. Chen & Chang (2000) in their research also stated that solid waste management system requires accuracy in terms of knowing exact amount of solid waste being generated. However, the authors also contend that the manner in which the amount of solid waste generated is predicted is different in both developed and developing countries.…”

Section: Independent Variablesmentioning

confidence: 98%

“…The waste statistics are derived from the official statistics when modeling of the total Municipal Solid Wastes is required (e.g., Beigl et al, 2004;ParWtt et al, 2001;Hockett et al, 1995;Chen and Chang, 2000) or the sum of all recyclables (ParWtt et al, 2001) or single recyclable materials, like glass, plastics or metals or paper and cardboard (Bach et al, 2003Lebersorger et al, 2003 or single collection streams, like residual waste (Mertins et al, 1999;Grossman et al, Dyson and Chang, 2005;Jenkins, 1993;). Some of the models also address other ways of disposal of wastes, like private wiring, illegal disposal and informal collection, other than the officially reported waste streams.…”

Section: Collection Streamsmentioning

confidence: 99%

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Management Models of Municipal Solid Waste: A Review Focusing on Socio Economic Factors

Cherian¹,

Jacob²

2012

IJEF

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Waste management is a complex process that requires a lot of information from various sources such as factors on waste generation and waste quantity forecasts. When operations related to promotion of waste management systems are considered it is observed that generation of waste and planning is found to be influenced by different factor of which are impacted by socio demographics. The main aim of this paper is to review previously tested models related to municipal solid waste generation and identify possible factors which will help in identifying the crucial design options within the framework of statistical modelling.

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Section: Independent Variablesmentioning

confidence: 98%

Section: Collection Streamsmentioning

confidence: 99%

Management Models of Municipal Solid Waste: A Review Focusing on Socio Economic Factors

Cherian¹,

Jacob²

2012

IJEF

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“…The prediction condition of solid waste generation trend in many developing countries is quite different from those in developed countries due to lack of sampling and analysis [8]. Therefore the historical record of solid waste generation and composition can never be completed in the long term.…”

Section: Quantification Of Waste In Conventional Construction Siti Akmentioning

confidence: 99%

Siti Akhtar Mahayuddin and Wan Akmal Zahri Wan Zaharuddin

Mahayuddin¹,

Zaharuddin²

2013

IJESD

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Abstract-Construction waste is generated throughout the construction process such as during site clearance, material use, material damage, material non-use, excess procurement and human error. The exact quantity and composition of construction waste generated throughout the projects are difficult to be identified as they are keep on changing due to the dynamic nature of the construction activities. Different stages of construction generates different types and composition of waste. Therefore the trend of waste generated throughout the construction stages need to be identified. This paper will critically review literature on construction waste in order to understand the nature of waste generation from construction activities. Based on the literature studied, this paper propose a method to quantify waste for conventional construction. The proposed method comprises four steps. First is identification of construction stages and expected waste generated. Second is selection of construction sites with similar characteristics for uniform investigation. Third is sorting and weighing of mixed waste collected in a dumpster. The last step is summation of the recorded quantity. It is expected that the proposed method should be practical and suits current situation of Malaysian construction projects and support the agenda of National Strategic Plan for Solid Waste Management.

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“…According to Miranda et al [13], various models for the design of these systems (Waste Collection System Design (WCSD)) have been developed [14][15][16][17]. These models are based on the classic vehicular routing problem (VRP) [18,19] with some special considerations: G-VRP (Green Vehicle Routing Problem), PRP (Pollution Routing Problem), EVRP (Emissions Vehicle Routing Problem), and RS-TDE (Routing and Scheduling in TimeDependent Environment), where they look for reduction of polluting emissions to the environment, especially carbon dioxide, as a consequence of the minimization of the total distance, fuel consumption, operative costs, or the selection of uncongested routes [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34]. Another model is the Routing of Hazardous Materials (RHM) that minimizes the risk to the population and environment caused by hazardous material transportation [35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Insular Biobjective Routing with Environmental Considerations for a Solid Waste Collection System in Southern Chile

González

Olivares-Benítez

Miranda

2017

Advances in Operations Research

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This paper presents a biobjective problem for a solid waste collection system in a set of islands in southern Chile. The first objective minimizes transportation cost and the second one reduces the environmental impact caused by the accumulation of solid waste at the collection points. To solve this problem, biobjective mixed integer linear programming is used. In the model, an itinerary scheme is considered for the visit to the islands. The model decides which collection points are visited per island, the collection pattern, and quantity of solid waste to be collected at each site. The quantity of solid waste is obtained dividing the solid waste generated in the island by the number of collection points selected in that same island and the frequency of visits. For this problem, we considered that the environmental impact function varies through the days during which solid waste is accumulated at each collection point. We present an instance based on real data for a set of islands in Chiloe and Palena regions in southern Chile, in which the deposit node is Dalcahue. We used the epsilon-constraint method and the weighted sum method to obtain the Pareto front, using commercial optimization software.

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Prediction analysis of solid waste generation based on grey fuzzy dynamic modeling

Cited by 117 publications

References 13 publications

Management Models of Municipal Solid Waste: A Review Focusing on Socio Economic Factors

Management Models of Municipal Solid Waste: A Review Focusing on Socio Economic Factors

Siti Akhtar Mahayuddin and Wan Akmal Zahri Wan Zaharuddin

Insular Biobjective Routing with Environmental Considerations for a Solid Waste Collection System in Southern Chile

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