Optimizing Shanghai's Household Waste Recycling Collection Program by Decision-Making based on Mathematical Modeling

TL;DR

This paper applies the Analytical Hierarchy Process (AHP) to optimize Shanghai's household waste recycling collection by evaluating key criteria and making data-driven decisions for sustainable waste management.

Contribution

It demonstrates a comprehensive application of AHP for waste recycling decision-making, incorporating multiple criteria and data sources for Shanghai's household waste program.

Findings

Identified key criteria for sustainable waste recycling.

Developed a hierarchical decision model using AHP.

Provided a data-driven framework for optimizing collection strategies.

Abstract

In this article, we will discuss the optimization of Shanghai's recycling collection program, with the core of the task as making a decision among the choice of the alternatives. We will be showing a vivid and comprehensive application of the classical mathematical multi-criteria decision model: Analytical Hierarchy Process (AHP), using the eigenvector method. We will also seek the key criteria for the sustainability development of human society, by assessing the important elements of waste recycling.First, we considered the evaluation for a quantified score of the benefits and costs of recycling household glass wastes in Shanghai, respectively. In the evaluation of each score, we both adopted the AHP method to build a hierarchical structure of the problem we are facing. We first identified the key assessment criteria of the evaluation, on various perspectives including direct money costs and benefits, and further environmental and indirect considerations. Then, we distributed questionnaires to our school science teachers, taking the geometric mean, to build the pairwise comparison matrix of the criterion. After the theoretical modeling works are done, we began collecting the essential datasets for the evaluation of each score, by doing research on the official statistics, Internet information, market information and news reports. Sometimes, we proceed a logical pre-procession of the data from other data, if the data wanted isn't directly accessible. Then, we crucially considered the generalization of our mathematical model. We considered from several perspectives, including the extension of assessment criteria, and the consideration of the dynamic interdependency between the wastes, inside a limited transportation container.