Literature DB >> 31222650

Discrete event simulation as a decision-making tool for end-of-life tire reverse logistics in a Brazilian city consortium.

Andriani Tavares Tenório Gonçalves1, Liliane Dolores Fagundes2, Rafael de Carvalho Miranda2, Renato da Silva Lima2.   

Abstract

Tires require adequate disposal at the end of their useful life due to the environmental damage that improper disposal can cause. Since the 1990s, Brazilian legislation has laid out specific rules for tire disposal. This brought about results in 2017, when 93% of the target was met for environmentally correct tire disposal, according to the Brazilian Institute of the Environment and Renewable Natural Resources. To reach this index, consumers, business people, city halls, and manufacturers had to work together. However, cities with fewer than 100,000 inhabitants continued to encounter difficulties to carry out the process efficiently. Thus, the objective of this study is to propose new alternatives so that small cities can plan and implement reverse logistics management for unusable tires. The tool used to verify improvement was discrete event simulation, which allowed for the creation of scenarios, experimenting with changes to the consortium's operation. The analysis confirms that the consortium of cities can have a more efficient process in the destination of tires, with the possibility of reducing costs by 15%, emission of pollutant gases by 71%, and CO2 by 57%.

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Keywords:  City consortium; Discrete event simulation; End-of-life tires; Performance measurement; Reverse logistics; Waste management

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Year:  2019        PMID: 31222650     DOI: 10.1007/s11356-019-05559-3

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  1 in total

Review 1.  Towards the smart and sustainable transformation of Reverse Logistics 4.0: a conceptualization and research agenda.

Authors:  Xu Sun; Hao Yu; Wei Deng Solvang
Journal:  Environ Sci Pollut Res Int       Date:  2022-08-16       Impact factor: 5.190

  1 in total

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