2017
DOI: 10.1016/j.rtbm.2017.08.001
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Fleet size optimization in the discarded tire collection process

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Cited by 12 publications
(5 citation statements)
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References 33 publications
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“…Amin et al ( 2017 ) formulated a single-objective MILP model for ELT remanufacturing for a real network in Toronto, Canada. Costa-Salas et al ( 2017 ) analyzed the ELT recycling process according to waste collection, processing, and customer zones from a Colombian city. Simic and Dabic-Ostojic( 2017 ) developed an interval-parameter chance-constrained programming model for optimizing long-term purchasing, retreading, and inventory planning in used tire management systems under multiple uncertainties.…”
Section: Resultsmentioning
confidence: 99%
“…Amin et al ( 2017 ) formulated a single-objective MILP model for ELT remanufacturing for a real network in Toronto, Canada. Costa-Salas et al ( 2017 ) analyzed the ELT recycling process according to waste collection, processing, and customer zones from a Colombian city. Simic and Dabic-Ostojic( 2017 ) developed an interval-parameter chance-constrained programming model for optimizing long-term purchasing, retreading, and inventory planning in used tire management systems under multiple uncertainties.…”
Section: Resultsmentioning
confidence: 99%
“…Many discussions have been generated by reverse logistics operations due to the complexity of decision-making and planning (Kumar & Saravanan, 2014). Process difficulties and hardly measurable stochastic behavior situations frequently emerge when residual material and return products collection is planned by enterprises (Costa-Salas et al, 2017).…”
Section: Reverse Logistics and Its Efficiency In Literaturementioning
confidence: 99%
“…• Waste management: in the concept of consumption and supply chain, it deals with the collection and recycling of waste generated during closer cooperation than before. Costa-Salas et al (2017) presents the challenges of waste management through the collection of tires.…”
mentioning
confidence: 99%
“…Moreover, some of these parameters are considered by only one paper. For instance, only [30] consider arrival frequency, pick-up time, delivery time and trans-shipment time as uncertain. They combine DES with scenario-optimization methods to design a tire collection process.…”
Section: Main Findings From the Slr Processmentioning
confidence: 99%