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2778. A review of the synergistic role of optimisation, game theory, and policy interventions in making the fashion industry circular
Invited abstract in session TA-23: Policy and legislation for a circular economy, stream Circular Economy, Remanufacturing and Recycling .
Tuesday, 8:30-10:00Room: 82 (building: 116)
Authors (first author is the speaker)
1. | Marjan Olfati
|
Brunel Business School, Brunel University London | |
2. | Afshin Mansouri
|
Brunel Business School, Brunel University London |
Abstract
Dealing with post-consumption clothing products is key to make the fashion industry circular. This will require effective reverse logistics to support the Re-x processes of the circular economy. The design of effective reverse logistics networks is a multifaceted task that need to cater for the different stakeholders and multiple decision criteria. This paper provides a systematic overview of the literature in the context of the fashion industry in three key areas: (i) reverse logistics, (ii) circular economy, and (iii) policy interventions. The focus of the first is optimisation and operations research models as well as game theory models. The second area looks into the application of the circular economy and sustainability. In the third area, the main policy interventions include extended producer responsibility (EPR), taxation, eco-labelling, and waste management. A comprehensive search was conducted on Web of Science. The managerial insights are proposed as follows: Designing operations research models assists decision-makers to optimise transportation, profit, waste, and location-allocation of facilities. Game theory models drive stakeholders to compete strategically, finding equilibrium in decision-making for resource allocation, costs, and pricing. Using game theory models can also exhort players (retailers, recyclers, charities, and customers) to collaborate, earning profit and fostering a sustainable supply chain, minimising waste and maximising resource reusing.
Keywords
- Game Theory
- Reverse Logistics / Remanufacturing
- Optimization Modeling
Status: accepted
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