Reverse and Inverse Logistic Models for Solid Waste Management

This article reviews studies on the application of reverse logistics in solid waste from the construction industry. The main objective is to provide a summary of current knowledge and specific areas for future research. In addition, construction, as an economic sector, is in a continuous search for new tools to improve its processes, so this research provides the current situation of the relationship between reverse logistics and solid waste in the industry. The review methodology was content analysis of scientific literature published between 1997 and 2020, and total of 66 articles were used. 73% correspond to research articles, around 13% are case studies, and 12% are literature reviews. Only one of the articles is a survey. In addition, 52% of the works reviewed correspond to solid waste studies and 49% are related to the construction industry; only one publication does not classify in any. The most used keywords for the identification of published works were reverse logistics and supply chain; both terms are frequently related to the process and general management of solid waste and construction. The least used term was the literature review that shows the low number of articles that provide a summary of the proposed topic. Finally, three materials were chosen for the study because they are the most used in construction: metals, bricks, and concrete. 15% of the articles study all three, 18% study only metals, and 63% study other materials or are related to construction and solid waste in general.

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“…is methodological proposal was used by Banguera et al [14] to analyze RL models aimed at urban SW management.…”

Section: Methodsmentioning

confidence: 99%

Reverse Logistics for Solid Waste from the Construction Industry

Vargas

Alfaro

Karstegl

et al. 2021

Advances in Civil Engineering

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“…The methodological proposal of this article, which includes identification, classification, and analysis in our case of RL models for the PW collection was used by Banguera et al (2017) to analyze RL models aimed at USW management. Using the same methodology, the research by Qureshi et al (2020) studies analyzes the opportunities and challenges of pyrolysis as an alternative for the treatment of PW.…”

Section: Methodsmentioning

confidence: 99%

Reverse logistics models for the collection of plastic waste: A literature review

et al. 2021

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To support the understanding of recycling models applied to plastics, the main objective of this work is to offer a literature review of the different reverse logistics (RL) models for collecting plastic waste (PW). The methodology used for processing the scientific literature was content analysis, using the google scholar search engine. The main keywords used were RL and PW. This article is divided into two parts: the first part discusses the development of circular economy models and RL networks and raises the conceptual framework of the research, and the second part presents mathematical models and exploratory studies, proposed as a solution for RL problems of PW. Articles published between years 2014 and 2019 were reviewed. In total, 102 references were used, 70 of them are part of the literature review. According to our findings, we can state that the most widely used solution method for mathematical modeling is mixed-integer linear programming, and for exploratory studies, it was evaluations. About 93% of studies evaluated raw materials related to PW; only 13% of studies had models with stochastic processes; and 88% of the investigations used continuous variables, being the multiobjective functions one of the most used to provide solutions to RL problems. Regarding the mathematical models, 49% were evaluations, 9% corresponded to multicriteria analysis, 29% to linear and nonlinear programming, and 4% to another type of evaluation or model.

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“…(2) selection of investigations; (3) classification of investigations by domain; and (4) analysis of results. The methodology used was content analysis [19] to analyze different reverse logistics models [20], study progress advances in nanotechnology applied to smart packaging [21], propose a conceptual framework for strategic management [22], and classify AI methodological contributions with application to structural engineering [23].…”

Section: Methodsmentioning

confidence: 99%

Methodological Proposals for the Development of Services in a Smart City: A Literature Review

et al. 2020

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This literature review analyzes and classifies methodological contributions that answer the different challenges faced by smart cities. This study identifies city services that require the use of artificial intelligence (AI); which they refer to as AI application areas. These areas are classified and evaluated, taking into account the five proposed domains (government, environment, urban settlements, social assistance, and economy). In this review, 168 relevant studies were identified that make methodological contributions to the development of smart cities and 66 AI application areas, along with the main challenges associated with their implementation. The review methodology was content analysis of scientific literature published between 2013 and 2020. The basic terminology of this study corresponds to AI, the internet of things, and smart cities. In total, 196 references were used. Finally, the methodologies that propose optimization frameworks and analytical frameworks, the type of conceptual research, the literature published in 2018, the urban settlement macro-categories, and the group city monitoring–smart electric grid, make the greater contributions.

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Reverse and Inverse Logistic Models for Solid Waste Management

Cited by 17 publications

References 59 publications

Reverse Logistics for Solid Waste from the Construction Industry

Reverse Logistics for Solid Waste from the Construction Industry

Reverse logistics models for the collection of plastic waste: A literature review

Methodological Proposals for the Development of Services in a Smart City: A Literature Review

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