A fuzzy multi-objective optimization model for a sustainable reverse logistics network design of municipal waste-collecting considering the reduction of emissions

Hashemi, Seyed Emadedin

doi:10.1016/j.jclepro.2021.128577

Cited by 53 publications

(24 citation statements)

References 49 publications

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“…Asymmetrical-based approaches such as fuzzy-set qualitative comparative analysis have become quite popular in business research to explore luxury brand purchases (Li et al, 2022a, b, c), assess the shopping cart abandonment behaviour (Khan et al, 2022), deployment of electric vehicles (Llopis-Albert et al, 2021) and exploring high-risk smartphone use while driving (Maier et al, 2020). Topic 14-"Logistics System Optimization" deals with the research exploiting soft computing for traffic optimization (Zhang et al, 2021), efficient routing of vehicles (Haixiang et al, 2021;Wang et al, 2021b;Xu and Lyu, 2021), traffic flow prediction (Wang et al, 2021), path optimization in urban transportation networks (Liu et al, 2021a, b) and sustainable reverse logistics network design (Hashemi, 2021), urban transportation network management (Chen et al, 2022e).…”

Section: Soft Computing In Businessmentioning

confidence: 99%

Soft computing in business: exploring current research and outlining future research directions

Singh

Koohang

et al. 2023

IMDS

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PurposeThe primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.Design/methodology/approachThis research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.FindingsThis study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.Practical implicationsThis analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.Originality/valueThis study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.

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Section: Soft Computing In Businessmentioning

confidence: 99%

Soft computing in business: exploring current research and outlining future research directions

Singh

Koohang

et al. 2023

IMDS

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“…Fathollahi-Fard et al [ 31 ] gave a sustainable framework for an integrated water supply and wastewater collection system. Reverse logistics was also applied in the sustainable management of municipal waste collection [ 32 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Collaborative Routing Optimization Model for Reverse Logistics of Construction and Demolition Waste from Sustainable Perspective

Chen

Liao

2022

IJERPH

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The construction industry is developing rapidly along with the acceleration of urbanization but accompanied by an increased amount of construction and demolition waste (CDW). From the perspective of sustainability, the existing research has mainly focused on CDW treatment or landfill disposal, but the challenge of reverse logistics of CDW recycling that provides overall CDW route planning for multiple participants and coordinates the transportation process between multiple participants is still unclear. This paper develops an optimization model for multi-depot vehicle routing problems with time windows (MDVRPTW) for CDW transportation that is capable of coordinating involved CDW participants and suggesting a cost-effective, environment-friendly, and resource-saving transportation plan. Firstly, economic cost, environmental pollution, and social impact are discussed to establish this optimization-oriented decision model for MDVRPTW. Then, a method combined with a large neighborhood search algorithm and a local search algorithm is developed to plan the transportation route for CDW reverse logistics process. With the numerical experiments, the computational results illustrate the better performance of this proposed method than those traditional methods such as adaptive large neighborhood search algorithm or adaptive genetic algorithm. Finally, a sensitivity analysis considering time window, vehicle capacity, and carbon tax rate is conducted respectively, which provides management implications to support the decision-making of resource utilization maximization for enterprises and carbon emission management for the government.

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“…A "fuzzy multi-objective optimization model" was used by Hashemi [63] for a "sustainable reverse logistics network design" of the MSW collection. The cost minimization for facility construction and emissions reduction were among the major objectives of the model.…”

Section: Global Case Studiesmentioning

confidence: 99%

Sustainable Waste Management Through Systems Engineering Models and Remote Sensing Approaches

Singh

2022

Circ.Econ.Sust.

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The burgeoning population has endangered the sustainability of urban areas where over half of the total global population will live by 2050. The population growth has increased the rate of waste production noticeably during the recent past. And its disposal and management are a serious environmental problem across the world. The problem is severe in developing nations because of the quick populace rise and urbanization, the absence of funding and policies, and poor and irregular waste management services. Besides, most municipal authorities in developing nations mainly focus on waste disposal and not management. Appropriate management of municipal solid waste (MSW) is essential for accomplishing many United Nations' Sustainable Development Goals (UN' SDGs) such as SDG6 "Clean Water and Sanitation," SDG11 "Sustainable Cities and Communities," and SDG12 "Responsible Consumption and Production." This paper assesses the use of diverse systems engineering models and remote sensing, GIS, and GPS for appropriate disposal and management of MSW issues. All the possible sources of related and up-to-date literature have been accessed and more than 210 publications were collected and thoroughly analyzed for this review. The past literature analysis revealed that the cost-benefit analysis models were used to appraise a waste management system's positive and negative economic effects. In contrast, optimization models were used to reach the best solution among several options, considering a set of objectives. The analysis also revealed that the GPS applications were primarily done for tracking waste bins and collection vehicles for monitoring collection time and location. Moreover, the investigation revealed that the combined applications of GPS and GIS techniques performed better than their specific applications. The analysis of numerous global case studies disclosed that political, socioeconomic, hydrological, geological, and environmental factors should be taken into account for a proper landfill siting.

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A fuzzy multi-objective optimization model for a sustainable reverse logistics network design of municipal waste-collecting considering the reduction of emissions

Cited by 53 publications

References 49 publications

Soft computing in business: exploring current research and outlining future research directions

Soft computing in business: exploring current research and outlining future research directions

Collaborative Routing Optimization Model for Reverse Logistics of Construction and Demolition Waste from Sustainable Perspective

Sustainable Waste Management Through Systems Engineering Models and Remote Sensing Approaches

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