Sustainable design of a municipal solid waste management system in an integrated closed-loop supply chain network using a fuzzy approach: a case study

Ahangar, Shahin Sadeghi; Sadati, Amirhossein; Rabbani, Masoud

doi:10.1080/21681015.2021.1891146

Cited by 42 publications

(26 citation statements)

References 32 publications

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“…Household solid waste represents an inevitable by-product of human activity and a major community crisis if not well managed (Das et al. , 2021; Sadeghi Ahangar et al. , 2021).…”

Section: Introductionmentioning

confidence: 99%

Malaysia's low-cost housing solid waste management in the era of COVID-19: the role of fourth industrial revolution technologies

Ebekozien

Samsurijan²,

Aigbavboa³

et al. 2022

MEQ

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PurposeStudies have shown that managing household solid waste from low-cost housing in urban and sub-urban communities is challenging, especially in developing countries and COVID-19 era. Previous research proved that the fourth industrial revolution (4IR) technologies could be engaged to improve urban public services such as household solid waste. Thus, the study investigated 4IR role in improving low-cost housing solid waste management (LCHSWM) in the COVID-19 era across Malaysia's cities.Design/methodology/approachThe researchers selected four Malaysian cities (Pulau Pinang, Kuala Lumpur, Kuching and Putrajaya) to achieve the study's objectives via a qualitative research design. The study engaged forty experts through semi-structured virtual interviews. A thematic approach was used to analyse the collected data.FindingsFindings identified initial high implementation and maintenance costs, unwillingness to accept change, inadequate knowledge and skilled personnel to manage the operation, amongst others, as the perceived challenges facing 4IR technologies in managing low-cost housing solid waste across Malaysian cities in the COVID-19 era. Also, the study proffered measures to improve 4IR technologies usage.Research limitations/implicationsThis paper is limited to the perceived contributory challenges and proffered measures to improve 4IR technologies usage in managing LCHSW across Malaysian cities in the COVID-19 era.Practical implicationsProffered measures will stir policymakers and the political class (city councils) to start thinking of an all-inclusive approach to addressing the issue of LCHSW in the 21st century. As part of the practical implications, the possible outcome might enhance collaboration between the public and private sectors to better service delivery to mitigate environmental degradation.Originality/valueAs revealed in the review, there is a paucity of literature regarding digital technology's roles in mitigating LCHSW across Malaysian cities in the COVID-19 era.

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“…Household solid waste represents an inevitable by-product of human activity and a major community crisis if not well managed (Das et al. , 2021; Sadeghi Ahangar et al. , 2021).…”

Section: Introductionmentioning

confidence: 99%

Malaysia's low-cost housing solid waste management in the era of COVID-19: the role of fourth industrial revolution technologies

Ebekozien

Samsurijan²,

Aigbavboa³

et al. 2022

MEQ

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“…The interesting part of the research (from a mathematical point of view) was using the COBYLA algorithm to solve the model. Sadeghi Ahangar et al (Sadeghi Ahangar et al 2021) designed a model for another decision-making problem, namely the municipal solid waste management system, but similarly to our research, in an integrated sustainable closed-loop supply chain network. For this purpose, they used the fuzzy approach to control the uncertainty parameters.…”

Section: Literature Reviewmentioning

confidence: 94%

A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19

Szmelter-Jarosz

Ghahremani-Nahr

Nozari

2021

JRFM

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In this paper, a sustainable closed-loop supply chain problem is modelled in conditions of uncertainty. Due to the COVID-19 pandemic situation, the designed supply chain network seeks to deliver medical equipment to hospitals on time within a defined time window to prevent overcrowding and virus transmission. In order to achieve a suitable model for designing a sustainable closed-loop supply chain network, important decisions such as locating potential facilities, optimal flow allocation, and vehicle routing have been made to prevent the congestion of vehicles and transmission of the COVID-19 virus. Since the amount of demand in hospitals for medical equipment is unknown, the fuzzy programming method is used to control uncertain demand, and to achieve an efficient solution to the decision-making problem, the neutrosophic fuzzy method is used. The results show that the designed model and the selected solution method (the neutrosophic fuzzy method) have led to a reduction in vehicle traffic by meeting the uncertain demand of hospitals in different time windows. In this way, both the chain network costs have been reduced and medical equipment has been transferred to hospitals with social distancing.

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“…The experts share and exchange opinions and preferences from their experience and knowledge until reaching a general agreement. This method has a weakness in dealing with expert linguistic preference uncertainty; thus, fuzzy set theory is combined with the Delphi method to overcome this weakness (Sadeghi et al, 2021;Tseng et al, 2019). Combining fuzzy set theory and the traditional Delphi methods means less time is required for data collection and fewer interviews are needed; this advantage improves the method's efficiency and provides accurate and thorough information (Tseng et al, 2021;Tsai et al, 2020).…”

Section: Proposed Methodsmentioning

confidence: 99%

“…The construction industry needs regulatory efforts to pursue strategies to recycle and reuse waste products. The lack of effective political institutions and a robust legal environment that encourages, supports, and monitors SWM implementation leads to failures and discourages reusing and recycling efforts (Ahangar et al, 2021;Ruiz et al, 2020;Chen et al, 2019). Regulations play an essential role in supporting the SWM strategies; for instance, Du et al (2020) argued that the regulatory attributes of SWM substantially contribute to enforcing policies and ensuring sustainable practices.…”

Section: Sustainable Waste Management In Constructionmentioning

confidence: 99%

Developing a hierarchical framework for assessing the strategic effectiveness of sustainable waste management in Somaliland construction industry

Negash

Hassan

Tseng

et al. 2022

Preprint

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This study contributes to the literature by developing a hierarchical framework for assessing the strategic effectiveness of waste management in the construction industry. This study identifies a valid set of strategic effectiveness attributes of sustainable waste management in construction. Prior studies have neglected to develop sustainable waste management's strategic effectiveness assessment framework to identify reuse and recycle policy initiatives that ensure waste minimization and resource recovery programs. This study utilizes the fuzzy Delphi method to screen out nonessential attributes in qualitative information. Fuzzy interpretive structural modeling divides the attributes into various elements. It constructs a multilevel model that depicts the interrelationships among the attributes into a hierarchical framework and finds and ranks the optimal drivers for practical improvement. This study integrates the best-worst method to measure different criteria’ weights in the hierarchical strategic effectiveness framework. The findings reveal that waste management operations strategy, construction site waste management performance, and mutual coordination are the top aspects for assessing strategic effectiveness in the hierarchical framework. In practice, the waste reduction rate, recycling rate, reuse rate and noise and air pollution levels are identified to assist policymakers in evaluation. The theoretical and managerial implications are discussed

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Sustainable design of a municipal solid waste management system in an integrated closed-loop supply chain network using a fuzzy approach: a case study

Cited by 42 publications

References 32 publications

Malaysia's low-cost housing solid waste management in the era of COVID-19: the role of fourth industrial revolution technologies

Malaysia's low-cost housing solid waste management in the era of COVID-19: the role of fourth industrial revolution technologies

A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19

Developing a hierarchical framework for assessing the strategic effectiveness of sustainable waste management in Somaliland construction industry

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