Reverse Logistics Network Design to Estimate the Economic and Environmental Impacts of Take-back Legislation: A Case Study for E-waste Management System in Washington State
Authors: Hadi Moheb-Alizadeh, Amir Hossein Sadeghi, Amirreza Sahebi fakhrabad, Megan Kramer Jaunich, Eda Kemahlioglu-Ziya, Robert B Handfield
AI-generated Key Points
- Growing focus on recycling and disposal of e-waste
- Concerns about resource recovery and environmental impacts
- Legislation holds manufacturers responsible for taking back e-waste
- Two different formulations of a reverse logistics network presented in research paper
- System-optimum model studies entire reverse logistics network from policy makers' perspective
- User-optimum model splits logistics network into two parts for optimum solution from users' standpoint
- E-waste collected through user drop off at designated collection sites
- Models capable of estimating economic and environmental impacts of take-back legislation at various stages of e-waste's life cycle
- Authors: Hadi Moheb Alizadeh, Amir Hossein Sadeghi, Amirreza Sahebi fakhrabad, Megan Kramer Jaunich, Eda Kemahlioglu Ziya, Robert B Handfield
Abstract: In recent years, recycling and disposal of end-of-life (EOL) electronic products has attracted considerable attention in response to concerns over resource recovery and environmental impacts of electronic waste (e-waste). In many countries, legislation to make manufacturers responsible for taking e-waste at the end of their useful lives either has been adopted or is being considered. In this paper, by capturing different stages in the life-cycle of EOL electronic products (or, e-waste) generated from private or small-entity users, we develop two different formulations of a reverse logistics network, i.e. system-optimum model and user-optimum model, to estimate both economic and environmental effects of take-back legislation. In this system, e-waste is collected through user drop-off at designated collection sites. While we study the whole reverse logistics network associated with recycling and remanufacturing of e-waste in the system-optimum model and obtain an optimum solution from the policy maker's perspective, we split the logistics network into two distinct parts in the user-optimum model in order to derive an optimum solution from the users' standpoint. Implementing the proposed models on an illustrative example shows how they are capable of estimating the economic and environmental impacts of take-back legislation in various stages of e-waste's life-cycle.
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