Abstract
The recovery and recycling of Plastic Solid Waste (PSW) is an important aspect of achieving sustainability. The study reviewed technical constraints (Modeling levers) that influence households' participation in waste recovery and recycling programs from both developed and developing economies. A questionnaire based on the identified levers is developed and distributed to test the validity and significance of the levers. The results are adopted in the development of a levers' based reverse logistics (RLs) model for PSW in the Zambian context. The model provides a new and useful engineering approach for the management of PSW in both developed and developing economies influenced by similar levers.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 |
| Publisher | IEEE Computer Society |
| Pages | 1062-1066 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538609484 |
| DOIs | |
| Publication status | Published - 2 Jul 2017 |
| Event | 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore Duration: 10 Dec 2017 → 13 Dec 2017 |
Publication series
| Name | IEEE International Conference on Industrial Engineering and Engineering Management |
|---|---|
| Volume | 2017-December |
| ISSN (Print) | 2157-3611 |
| ISSN (Electronic) | 2157-362X |
Conference
| Conference | 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 10/12/17 → 13/12/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
Keywords
- Engineering Management
- Plastics
- Recycling
- Reverse logistics
ASJC Scopus subject areas
- Business, Management and Accounting (miscellaneous)
- Industrial and Manufacturing Engineering
- Safety, Risk, Reliability and Quality
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