An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management

Cheng, Steven KwokYam; Chan, Christine W.; Huang, Guohe

doi:10.1016/s0952-1976(03)00069-1

Cited by 206 publications

(98 citation statements)

References 15 publications

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“…Therefore, further analysis should be carry out to study the relationship between the location of the station (i.e. Station 5) and, sampling measurement time with all the variables that strongly influencing WQI such as urbanization, population density, water shortages and pollution (Cheng et al 2003). In addition, Sapari et al (2009) mentioned that urban NPS pollution has become a growing concern for most major towns in Malaysia due to the serious threat of pollution to river water quality in urban environment.…”

Section: Resultsmentioning

confidence: 99%

Temporal Water Quality Assessment of Langat River from 1995-2006

Ali¹,

Ibrahim²,

Mengersen³

et al. 2012

Water Quality Monitoring and Assessment

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Section: Resultsmentioning

confidence: 99%

Temporal Water Quality Assessment of Langat River from 1995-2006

Ali¹,

Ibrahim²,

Mengersen³

et al. 2012

Water Quality Monitoring and Assessment

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“…For example, this method has been used in [84][85][86][87][88][89][90][91][92]. It has also been used for problem-solving in fuzzy Multi-criteria Decision-making (MCDM).…”

Section: The Topsis Methodsmentioning

confidence: 99%

A fuzzy TOPSIS model to evaluate the Business Intelligence competencies of Port Community Systems

Ghazanfari¹,

Rouhani²,

Jafari³

2014

Polish Maritime Research

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“…In [27], the authors aimed to locate an optimal landfill site to achieve minimum economical and socio-environmental effects and cost for the waste management system in the city of Regina (SK, Canada) by integrating Multi-Criteria Decision Analysis (MCDA) with Inexact Mixed Integer Linear Programming (IMILP).…”

Section: Related Work and Motivationmentioning

confidence: 99%

Trajectory-Assisted Municipal Agent Mobility: A Sensor-Driven Smart Waste Management System

Omara

Gulen

Kantarcı

et al. 2018

JSAN

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Ubiquity, heterogeneity and dense deployment of sensors have yielded the Internet of Things (IoT) concept, which is an integral component of various smart spaces including smart cities. Applications and services in a smart city ecosystem aim at minimizing the cost and maximizing the quality of living. Among these services, waste management is a unique service that covers both aspects. To this end, in this paper, we propose a WSN-driven system for smart waste management in urban areas. In our proposed framework, the waste bins are equipped with sensors that continuously monitor the waste level and trigger alarms that are wirelessly communicated to a cloud platform to actuate the municipal agents, i.e., waste collection trucks. We formulate an Integer Linear Programming (ILP) model to find the best set of trajectory-truck with the objectives of minimum cost or minimum delay. In order for the trajectory assistance to work in real time, we propose three heuristics, one of which is a greedy one. Through simulations, we show that the ILP formulation can provide a baseline reference to the heuristics, whereas the non-greedy heuristics can significantly outperform the greedy approach regarding cost and delay under moderate waste accumulation scenarios.

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An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management

Cited by 206 publications

References 15 publications

Temporal Water Quality Assessment of Langat River from 1995-2006

Temporal Water Quality Assessment of Langat River from 1995-2006

A fuzzy TOPSIS model to evaluate the Business Intelligence competencies of Port Community Systems

Trajectory-Assisted Municipal Agent Mobility: A Sensor-Driven Smart Waste Management System

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