Landfill location selection for healthcare waste of urban areas using hybrid BWM-grey MARCOS model based on GIS

Torkayesh, Ali Ebadi; Zolfani, Sarfaraz Hashemkhani; Kahvand, Meghdad; Khazaelpour, Payam

doi:10.1016/j.scs.2021.102712

Cited by 135 publications

(59 citation statements)

References 58 publications

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“…This method can obtain a decision matrix with the ideal and anti ideal under grey interval set considering sustainability factors [22]. Yazdani et al [23] study the problem of supplier evaluation and propose a interval valued fuzzy neutrosophic (IVFN) model. Taking into account the uncertainty of expert evaluation information, he adopt linguistic measures and their corresponding neutrosophic values to obtain this information.…”

Section: Literature Reviewsmentioning

confidence: 99%

Determining the critical factors of air-conditioning innovation using an integrated model of fuzzy Kano-QFD during the COVID-19 pandemic: The perspective of air purification

Wei-ming

et al. 2021

PLoS ONE

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At present, people are demanding better indoor air quality during the COVID-19 pandemic. In addition to maintaining the basic functions, new air-conditioning should also add air purification functions to improve indoor air quality and reduce the possibility of virus transmission. Nowadays, there is lack of research results on the innovation of air-conditioning. The aim of this study is to present a two-stage mathematical model for identifying critical manufacturing factors in the innovation process of air conditioning. In this paper, Kano and quality function deployment (QFD) are used to analyze the critical factors affecting air-conditioning innovation. Some studies have proposed using Kano-QFD model to analyze product innovation, but the study only studies one stage, which loses the analysis of the subsequent stages of product innovation. Based on this, this paper studies the priority method of two-stage critical factors for air-conditioning innovation. Firstly, the questionnaire survey and fuzzy sets are used to collect demand information of multi-agent (customers and professional technicians). Secondly, the Kano model is used to classify and calculate satisfaction of multi-agent. Then, QFD is used to transform multi-agent demands into engineering property indexes (first stage) and technical property indexes (second stage) and calculate the weight of each index. Finally, the applicability and superiority of this method is illustrated by taking the central air-conditioning as an example.

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Section: Literature Reviewsmentioning

confidence: 99%

Determining the critical factors of air-conditioning innovation using an integrated model of fuzzy Kano-QFD during the COVID-19 pandemic: The perspective of air purification

Wei-ming

et al. 2021

PLoS ONE

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“…BWM has been successfully applied in many areas. Torkayesh et al applied it for the assessment of healthcare sectors in Eastern European countries [27]. Pamucar et al addressed BWM to select the most preferred renewable energy source for a developing country [28].…”

Section: Best-worst Methods (Bwm)mentioning

confidence: 99%

Combining the Suitability-Feasibility-Acceptability (Sfa) Strategy With the McDm Approach

Zolfani¹,

Bazrafshan

Akaberi

et al. 2021

FU Mech Eng

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Suitability-Feasibility-Acceptability (SFA) is a fundamental tool for the development and selection of strategy. Any type of decision-making problem can be resolved by Multiple Criteria Decision Making (MCDM) methods. In this research, we explore the complexity of determining the proper goal market for the Chilean fish market. This study proposed a combined approach of SFA with MCDM methods in a real case study. The proposed structure helps to assign the best market for Chilean export fish to West Asia. Three countries (Saudi Arabia, the United Arab Emirates, and Oman) are selected as a target market in this region, and then related criteria are obtained from various sources. In order to develop a new market for the Chilean fishery industry, five major criteria, including the potential of a target market, region's economic attractiveness, consumption of the seafood, location, cost of transportation, and country risks, were selected based on the SFA framework. Calculating the criteria weights is performed by the Best-Worst (BWM) method, and ordering the alternatives is operated by Measurement Alternatives and Ranking according to compromise Solution (MARCOS) methods. The results showed that Oman is the best destination (importer) for the Chilean fish market (Salmon fish as the case).

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“…Due to the complexity and big data nature of decision-making problems, mathematical modeling is an efficient tool which saves time, effort, and money. Meanwhile, other related problems such as socioeconomic analysis and technology selection for HWM systems have been addressed by using multi-criteria decision-making [14,15] and machine learning [16] techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-Objective Optimization for Healthcare Waste Management Network Design with Sustainability Perspective

2021

Self Cite

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Healthcare Waste Management (HWM) is considered as one of the important urban decision-making problems due to its potential environmental, economic, and social risks and damages. The network of the HWM system involves important decisions such as facility locating, inventory management, and transportation management. Moreover, with growing concerns towards sustainable development objectives, HWM systems should address its environmental and social aspects as well as its economic and technical characteristics. In this regard, this paper formulates a novel multi-objective optimization model to empower companies in making optimized decisions considering the economic, environmental, and social aspects. Within the proposed model, the first objective function aims to minimize the transportation costs, processing costs, and establishment costs. The second objective function aims to minimize environmental risks and emissions related to the transportation of waste between facilities. The third objective function aims to maximize job creation opportunities. Formulating these three functions, an Improved Multi-Choice Goal Programing (IMCGP) approach is proposed to solve the multi-objective optimization model, which is then compared with the Goal Attainment Method (GAM). Finally, to show the applicability and feasibility of the proposed model, an illustrative example of healthcare waste management is analyzed, and the results are discussed.

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Landfill location selection for healthcare waste of urban areas using hybrid BWM-grey MARCOS model based on GIS

Cited by 135 publications

References 58 publications

Determining the critical factors of air-conditioning innovation using an integrated model of fuzzy Kano-QFD during the COVID-19 pandemic: The perspective of air purification

Determining the critical factors of air-conditioning innovation using an integrated model of fuzzy Kano-QFD during the COVID-19 pandemic: The perspective of air purification

Combining the Suitability-Feasibility-Acceptability (Sfa) Strategy With the McDm Approach

Multi-Objective Optimization for Healthcare Waste Management Network Design with Sustainability Perspective

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