Tomada de decisão em redes logísticas de reciclagem de materiais através da dinâmica de sistemas

Abstract

Antes de iniciar meus agradecimentos para a realização desta pesquisa, devo fazer uma homenagem póstuma ao meu querido e estimado pai que lutou em favor dos meus ideais. Este trabalho é dedicado exclusivamente a ele, por tudo o que ele representa na minha vida. Agradeço profundamente à minha mãe por ser esta fortaleza de sempre, conseguindo lidar com os seus problemas e ainda ajudar os filhos. Além de sua superproteção, ela continua o legado do meu pai e sempre incentiva no caminho por mim traçado. Ademais, aos meus avós, tios e irmãos, por sustentarem o equilíbrio da família e se unirem em momentos difíceis. Cada um contribui com sua parcela inconscientemente atribuída à minha vida e carreira profissional. Quero ressaltar minha gratidão aos amigos que permanecem em minha cidade natal, além daqueles em que resido atualmente. Merece destaque Thais Andrade, Camila Modenese,

Proposta De Um Modelo De Dinâmica De Sistemas Da Gestão De Resíduos Sólidos Urbanos Domiciliares: Um Estudo Aplicado a Curitiba (Brasil) a Luz Da Política Nacional De Resíduos Sólidos (Pnrs)

“…The works of Garcia (2003), Garcia (2008), Kolekar, Hazra and Chakrabarty (2016), Dyson and Chang (2005), Babader et al (2016), Guo et al (2016), Liu et al (2014, Sukholthaman and Sharp (2016), Georgiadis (2013), Karavezyris, Timpe and Marzi (2002), Elia, Gnoni and Tornese (2016), Tozan and Ompad (2015), Matos (2012), Fan et al (2018), Sufian and Bala (2007), Dace et al (2014), Long et al (2012), Tsolakis and Anthopoulos (2015), Eriksson et al (2005), Simonetto and Löblerb (2014) and aided both the development of the system and its application.…”

“…Kolekar, Hazra and Chakrabarty (2016) discussed and reviewed models for predicting waste generation, Dyson and Chang (2005) Elia, Gnoni and Tornese (2016) evaluated waste collection through the product service system and Tozan and Ompad (2015) worked on issues related to urban health. Matos (2012) worked on reverse logistics networks, Fan et al (2018) modeled recycling in Taiwan and Sufian, and Bala (2007) researched waste management in Dhaka, Bangladesh. Dace et al (2014) analyzed the effect of a packaging development policy, and Long et al (2012) worked on the generation of plastic waste in Beijing, China.…”

The use of system dynamics on urban solid waste management: a literature analysis

“…Regarding labor, 11 studies (Sufian & Bala, 2007;Akinyemi, 2014;Rahayu et al, 2013;Bala et al, 2017;Bala, 2009;Kum et al, 2005;Manasakunkit & Chinda, 2017;Manasakunkit & Chinda, 2014;Manasakunkit, 2013;Matos, 2012;Sukholthaman & Sharp, 2016) used the human strength necessary for the entire USW management process as variables, such as the wages of employees of collecting vehicles (collection) and waste sorting. The inclusion of such a variable allows for a more realistic analysis of the process since it is a factor that interferes on the costs of the system.…”

“…The models proposed in the analyzed articles still consider the revenue obtained from the sale of recyclable materials (Ahmad, 2012;Rahayu et al, 2013;Sudhir et al, 1997;Al-Khatib et al, 2015;Kum et al, 2005;Zanjani et al, 2012;Manasakunkit & Chinda, 2017;Manasakunkit & Chinda, 2014;Manasakunkit, 2013;Matos, 2012;Ribeiro, 2012), electricity generated from landfill gases (Ahmad, 2012), electricity generated from waste incineration (Rahayu et al, 2013), composting (Ahmad, 2012;Rahayu et al, 2013;Zanjani et al, 2012) and the disposal and facilities of waste treatment (Ahmad, 2012). So, in these papers, the revenue with different activities related to the USW management was also included in the SD model.…”

“…On the other hand, the USW management system is also influenced by the operational costs of the process, which includes the stages of collection, separation, treatment and disposal of waste. This cost variable is present in approximately 40% of the articles, demonstrating its relevance for analysis of policy implementation, more realistic estimates of the municipal budget necessary for the maintenance of the system and identification of process improvement (Ahmad, 2012;Alam & Ahmad, 2015;Sufian & Bala, 2007;Akinyemi, 2014;Yeh et al, 2002;Chen et al, 2012;Giannis et al, 2016;Rahayu et al, 2013;Cai & Liu, 2013;Bala et al, 2017;Bala, 2009;Rong, 2004;Sudhir et al, 1997;Massote et al, 2015;Al-Khatib et al, 2015;Kum et al, 2005;Zanjani et al, 2012;Manasakunkit & Chinda, 2017;Manasakunkit & Chinda, 2014;Manasakunkit, 2013;Matos, 2012;Chinda, 2015;Karavezyris et al, 2002;Ulli-Beer et al, 2004a, b;Sukholthaman & Sharp, 2016;Vélez & Mora, 2016;Kum et al, 2004;Rodrigues et al, 2017).…”