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

Gonçalves, Andriani Tavares Tenório; Fagundes, Liliane Dolores; Miranda, Rafael de Carvalho; Lima, Renato da Silva

doi:10.1007/s11356-019-05559-3

Cited by 6 publications

(2 citation statements)

References 40 publications

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“…The recent research on reverse logistics has focused on managing various types of EOL products through different options considering economic, social, and environmental performances. Several important decisions, i.e., facility location, transportation, and vehicle routing, have been predominantly tackled by using advanced quantitative methods, i.e., mathematical models (Govindan et al 2015 ), multi-criteria decision support methods (Senthil et al 2018 ), and simulation (Beiler et al 2020 ;Gonçalves et al 2019 ;Pandian and Abdul-Kader 2017 ). Among these, optimization is the most extensively used technique to solve complex decision-making problems in reverse logistics.…”

Section: State Of the Artmentioning

confidence: 99%

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

Sun

Solvang

2022

Environ Sci Pollut Res

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The recent advancement of digitalization and information and communication technology (ICT) has not only shifted the manufacturing paradigm towards the Fourth Industrial Revolution, namely Industry 4.0, but also provided opportunities for a smart logistics transformation. Despite studies have focused on improving the smartness, connectivity, and autonomy of isolated logistics operations with a primary focus on the forward channels, there is still a lack of a systematic conceptualization to guide the coming paradigm shift of reverse logistics, for instance, how “individualization” and “service innovation” should be interpreted in a smart reverse logistics context? To fill this gap, Reverse logistics 4.0 is defined, from a holistic perspective, in this paper to offer a systematic analysis of the technological impact of Industry 4.0 on reverse logistics. Based on the reported research and case studies from the literature, the conceptual framework of smart reverse logistics transformation is proposed to link Industry 4.0 enablers, smart service and operation transformation, and targeted sustainability goals. A smart reverse logistics architecture is also given to allow a high level of system integration enabled by intelligent devices and smart portals, autonomous robots, and advanced analytical tools, where the value of technological innovations can be exploited to solve various reverse logistics problems. Thus, the contribution of this research lies, through conceptual development, in presenting a clear roadmap and research agenda for the reverse logistics transformation in Industry 4.0.

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Section: State Of the Artmentioning

confidence: 99%

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

Sun

Solvang

2022

Environ Sci Pollut Res

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“…More than ever, reverse logistics (RL) has become an important alternative for the proper management of HCW since one of its responsibilities is the management and disposal of hazardous or non-hazardous waste from packaging and products (Kroon and Vrijens, 1994). It can also be used as an economic and social tool (Alves et al, 2021), being, therefore, an essential part to make solid waste management viable (Gonçalves et al, 2018(Gonçalves et al, , 2019. Govindan et al (2016) also state that an effective RLs programme has a huge potential to help environmental and social issues, as RL and sustainability are interconnected.…”

Section: Introductionmentioning

confidence: 99%

Healthcare waste management assessment: Challenges for hospitals in COVID-19 pandemic times

Hugo

Lima

2021

Waste Manag Res

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With the spread of the new Coronavirus, there was an increase in the generation of contaminated waste. Thus, healthcare waste management (HCWM) became even a greater challenge in hospitals due to Coronavirus easily spread. In this context, it was necessary to create tools that could aid healthcare facilities in evaluating their HCWM. Therefore, the objective of this article was to elaborate a support tool that helps in identifying the shortcomings of hospitals’ HCWM. For this purpose, the Health Service Waste Management Index was developed based on the selection of indicators in the area. The index was applied to six hospitals in the state of Minas Gerais, Brazil. Its application meet the purpose of this research, since the results in the form of an index objectively summarize the reality of the HCWM in healthcare facilities. From the six hospitals investigated, four were classified as highly efficient. However, even though most of them were well evaluated, they still have difficulties with properly training their employees, which can be even a worse problem during a pandemic, when every precaution is extremely important to reduce the spread of the disease. Therefore, beyond this article contribution related to sustainability by demanding the hospitals to check which points of HCWM should be improved, it also adds academically by developing a tool with indicators that evaluate operational, human, economic and environmental factors in an innovative way.

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A two-level decision-support framework for reverse logistics network design considering technology transformation in Industry 4.0: a case study in Norway

Sun,

Yu,

Solvang

et al. 2024

Int J Adv Manuf Technol

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Reverse logistics network design is a complex decision-making problem that involves the reuse, repair, remanufacturing, and recycling of end-of-life (EOL) under the tradeoff among conflicting objectives. The cutting-edge technologies in Industry 4.0 are now leading to an unprecedented and dynamic transformation of reverse logistics systems, which, however, further complicates the initial network design. In this paper, a two-level decision-support framework combined with both optimization and dynamic simulation is proposed to balance the cost, environmental impact, and service level in smart and sustainable reverse logistics network design under a dynamically evolving and stochastic environment. The results of a real-world case study in Norway show that the method can better support robust strategic decisions, eliminate dominated/near-dominated solutions, and yield holistic performance analyses considering smart reverse logistics transformation. The proposed two-level decision-support framework can better analyze the impact of the technology transformation of Industry 4.0 on reverse logistics systems, while it also provides a fundamental structure for digital reverse logistics twin.

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

Cited by 6 publications

References 40 publications

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

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

Healthcare waste management assessment: Challenges for hospitals in COVID-19 pandemic times

A two-level decision-support framework for reverse logistics network design considering technology transformation in Industry 4.0: a case study in Norway

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