Using modified metaheuristic algorithms to solve a hazardous waste collection problem considering workload balancing and service time windows

Rabbani, Masoud; Nikoubin, Alireza; Farrokhi-Asl, Hamed

doi:10.1007/s00500-020-05261-4

Cited by 20 publications

(11 citation statements)

References 29 publications

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“…Rabbani et al [20] developed an extension of the models presented in previous studies, including a new optimization objective: workload balance and time windows for the vehicle routing problem. Finally, Tirkolaee et al [21] addressed a location and routing model with time windows for medical waste management, as a problem that has increased due to the COVID-19 pandemic.…”

Section: Review Of Hazardous Waste Location-routing Problemmentioning

confidence: 99%

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Network Structures in Hazardous Waste Management Systems: Advances, Characteristics and Challenges

NAVARRO

Osorio

PINTO

2022

WIT Transactions on Ecology and the Environment

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In recent years, progressive industrial and technological development has increased the amount of hazardous waste generated on the planet. The improper management of these wastes adversely affects human health and the environment due to their corrosive, reactive, ignitable, and toxic characteristics. Consequently, the activities associated with the collection, transport, treatment, recycling, and disposal of hazardous waste increase the related risks producing crucial economic and social impacts. For this reason, hazardous waste management attracts researchers' attention who through the formulation of optimization models have proposed in the literature the hazardous waste location-routing problem (HWLRP). In this regard, this paper studies the evolution of network structures in HWLRP existing in the literature. The main focus of this paper is to provide a review of the most relevant frameworks for the design of a hazardous waste management system and to analyze advances, characteristics, and challenges for future research. This study may help to define assumptions, concepts, and some insights into the design of the subsequent location and routing models applied to hazardous waste management to minimize the economic, social, and environmental impact that these wastes generate.

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Section: Review Of Hazardous Waste Location-routing Problemmentioning

confidence: 99%

“…Studies with this type of network structure have also been presented in Rabbani et al [17], [20]. According to Farrokhi-Asl et al [18] additionally allows the location of different depots within a set of potential sites.…”

Section: Depot Generation Nodes Treatment Centers Recycling Centers A...mentioning

confidence: 99%

Network Structures in Hazardous Waste Management Systems: Advances, Characteristics and Challenges

NAVARRO

Osorio

PINTO

2022

WIT Transactions on Ecology and the Environment

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“…Zhao and Huang ( 2019 ) formulated the hazardous waste network design problem as a bi-objective mixed integer linear programming model. Rabbani et al ( 2020 ) researched a novel multi-objective industrial hazardous waste model, which was solved by three multi-objective evolutionary algorithms. Wu et al ( 2020 ) also established a priority considered green vehicle routing model and a hybrid algorithm was utilized to solve the model.…”

Section: Detailed Analysis Of the Contentmentioning

confidence: 99%

Reverse logistics research of municipal hazardous waste: a literature review

Xin

Wang

et al. 2021

Environ Dev Sustain

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The reverse logistics of municipal hazardous waste (RLMHW) have received close attention from researchers and practitioners alike, given the essential impact of safe transportation and effective management of hazardous waste on public health and environmental sustainability. There are a great number of studies in the extant literature on RLMHW, with many and diverse research topics; however, a concise and complete overview of the research works already conducted in this particular area is conspicuous by its absence. This paper strives to fill the gap through the conduct of rigorous systematic literature review of RLMHW in the past three decades, and then establish a framework of studies on RLMHW. The main contributions of this study are as follows: (1) to identify the trend of journals publishing research papers on RLMHW; (2) to extract the main topics in studies on RLMHW; (3) to locate the most popular research areas of RLMHW; (4) to summarize the methods adopted in studies on RLMHW; (5) to identify research deficiencies in certain categories of RLMHW; and (6) to establish the future research directions of RLMHW. The main implications of the study are to offer a better understanding of RLMHW by systematic crystallization of archival data in a systematic chronological order across central issues. This study contributes to scholarly debate in this field by serving as a snapshot paper to document the development of the field and gives input to policymakers in process design and policy making in the domain of RLMHW.

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“…Due to improper waste management, wastes produced by healthcare and industrial facilities impose a great risk to human health and the environment, increasing the risk of diseases spread [ 3 ]. The process from production to disposal can be considered a supply chain.…”

Section: Introductionmentioning

confidence: 99%

“…Rabbani et al [ 3 ] developed a multi-objective model for hazardous wastes. They considered time window and workload balance and used multi-objective metaheuristic algorithms such as NSGA-II, PESA-II, and SPEA-II to solve the model.…”

Section: Introductionmentioning

confidence: 99%

A robust fuzzy multi-objective location-routing problem for hazardous waste under uncertain conditions

Raeisi

Ghoushchi

2022

Appl Intell

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Industrialization and population growth have been accompanied by many problems such as waste management worldwide. Waste management and reduction have a vital role in national management. The presents study represents a multi-objective location-routing problem for hazardous wastes. The model was solved using Non dominated Sorting Genetic Algorithm-II, Multi-Objective Particle Swarm Optimization, Multi-Objective Invasive Weed Optimization, Pareto Envelope-based Selection Algorithm, Multi-Objective Evolutionary Algorithm Based on Decomposition and Multi-Objective Grey Wolf Optimizer algorithms. The findings revealed that the Multi-Objective Invasive Weed Optimization algorithm was the best and the most efficient among the algorithms used in this study. Obtaining income from the incineration of the wastes and reducing the risk of COVID-19 infection are the first innovation of the present study, which considered in the presented model. The second innovation is that uncertainty was considered for some of the crucial parameters of the model while the robust fuzzy optimization model was applied. Besides, the model was solved using several meta-heuristic algorithms such as Multi-Objective Invasive Weed Optimization, Multi-Objective Evolutionary Algorithm Based on Decomposition and Multi-Objective Grey Wolf Optimizer, which were rarely used in literature. Eventually, the most efficient algorithm was identified by comparing the considered algorithms.

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Using modified metaheuristic algorithms to solve a hazardous waste collection problem considering workload balancing and service time windows

Cited by 20 publications

References 29 publications

Network Structures in Hazardous Waste Management Systems: Advances, Characteristics and Challenges

Network Structures in Hazardous Waste Management Systems: Advances, Characteristics and Challenges

Reverse logistics research of municipal hazardous waste: a literature review

A robust fuzzy multi-objective location-routing problem for hazardous waste under uncertain conditions

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