| Title |
Opportunities for Strengthening Brazilian Plastic Waste Management Adopting Structural Equation Modelling |
| ID_Doc |
10168 |
| Authors |
Pereira, LM; Freires, FGM |
| Title |
Opportunities for Strengthening Brazilian Plastic Waste Management Adopting Structural Equation Modelling |
| Year |
2022 |
| Published |
|
| DOI |
10.1007/978-3-031-14763-0_13 |
| Abstract |
This article aims to provide a qualitative-quantitative theoretical basis for the elaboration of an assertive Supply Chain Management (SCM) project that maximizes the performance of a Brazilian system operating Reverse Logistics that collects and separates waste from urban centers and processes it through recycling and/or thermochemical conversion. For this purpose, exploratory research of bibliographic content was conducted on data from the generation, destination, processing, and recovery of plastic Municipal Solid Waste (MSW), in addition to the physical characteristics of this type of waste, plant infrastructure, socioeconomic profile of the urban population and urban development policies that manage materials. The quali-quantitative information of consolidated literature helped in the preparation of the survey - to be answered by professionals of this market segment - whose answers will be complementary to the literature on the mathematical approach by Structural Equation Modelling using the Partial Least Square method in the design of high-precision actions for the Brazilian need for plastic waste management. All this in a business model that generates employment and income, and produces electricity, among other benefits, in the conception of sustainability promoted by the Circular Economy. To complement the methodology used in this work, successful cases in the recovery of materials in addition to future trends in the generation of plastic waste, are also presented as some of the research results. |
| Author Keywords |
Plastic waste; Reverse Logistics; Supply Chain Management |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000929603600013 |
| WoS Category |
Engineering, Industrial; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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