Difference between revisions of "Designing an Efficient Optimization System to Maximize the Total Value of Reverse Logistics in Waste Management"
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link to material: https://www.ifors.org/wp-content/uploads/2020/03/Willi-Erfan-Alireza-Green-Waste-Management.pdf | link to material: https://www.ifors.org/wp-content/uploads/2020/03/Willi-Erfan-Alireza-Green-Waste-Management.pdf | ||
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[[Category: Environment]] | [[Category: Environment]] | ||
Latest revision as of 01:04, 2 March 2020
by: Gerhard-Wilhelm Weber, Erfan Babaee Tirkolaee and Alireza Goli
Introduction
- Uncontrolled urban expansion and the massive increase in urban populations have led to a vast amount of consumption and different types of waste generation over the past years.
- In 2012, various cities in the world generated 1.3 billion tons of solid waste, equivalent to 1.2 kg per person per day.
- It is expected that annual waste generation rate will reach 2.2 billion tons by 2025, accordingly.
- This amount of waste generation definitely leads to an increase in the necessary funds for collection, transportation, processing and disposal operations, which contains a huge amount of fixed/variable costs (Tirkolaee et al., 2020).
- These operational processes must be done within shortest possible time to prevent from spread of potential contamination and infections.
- The main social aspects include citizens’ satisfaction and creating job opportunities at recovery/recycling facilities.
- A bi-objective model is proposed to design an efficient waste management system for maximizing the Total Value of Reverse Logistics and maximizing the total job opportunity.
- Environmental pollutions are studied as penalty costs in the budget constraint.
link to material: https://www.ifors.org/wp-content/uploads/2020/03/Willi-Erfan-Alireza-Green-Waste-Management.pdf
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