Reverse logistics research of municipal hazardous waste: a literature review

COVID-19, waste production and municipal recycling programs: Insights from Chile to the global south

The amount and characterization of municipal and industrial waste generated in numerous cities worldwide have changed dramatically in recent years due to the COVID-19 pandemic. Consequently, assessing the impact of COVID-19-related policies is important to provide decision-makers with adequate knowledge to respond effectively to future events and create successful policies that respond to specific contexts. This study focuses on Chile, Latin America's second-largest municipal and industrial solid waste producer, with tight quarantine procedures placed to prevent the virus from spreading, and a series of monetary incentives implemented to minimize the economic and social impact of the quarantines. The time series of municipal solid waste (MSW) and recycling in the metropolitan region show a decrease in the amount collected during the initial months of lockdown and a subsequent increase during monetary incentive implementation. The country recovered and exceeded pre-pandemic MSW generation and recycling levels. Furthermore, the lockdown and the withdrawal of retirement funds (WRF) had a varied impact on each municipality in the region. However, WRF had a larger direct impact than a lockdown, indicating that purchasing power has a greater impact than mobility in waste generation and recycling, at least in this region of Chile.

Designing a sustainable fish closed-loop supply chain network under uncertainty

There is increasing attention to the sustainable development of supply chain (SC) and reverse logistics (RL) in the contemporary competitive economy, notably in the food sector, by scholars and stakeholders. This study investigates a sustainable closed-loop supply chain (CLSC) for fish due to its high value in the family food basket, its perishability, and the importance of waste product recycling. A multi-objective mathematical model is developed under uncertainty and sustainability criteria to optimize production rates with the aim of better distribution among different demand markets, total costs, social issues, and negative environmental effects (e.g., CO2 emissions and unused/waste products). A combination of exact, meta-heuristic, and hybrid meta-heuristic algorithms are used to solve the suggested model. Then, the optimal solutions are found using the Taguchi method by evaluating the best initial replies. The solutions are evaluated based on various performance metrics. The analysis of variance (ANOVA) and the "filtering/displaced ideal solution" methods determine the best solution approach. Moreover, a case study with a trout CLSC in Northern Iran is examined. In addition, the Lingo software utilizes the ε-constraint method to evaluate and check the performance of the algorithms under different levels of uncertainty. Finally, sensitivity analyses are carried out to confirm the efficacy of the proposed algorithms. The findings demonstrate the proposed network's outstanding consistency with the algorithms used and its application and efficiency.

Hazardous waste management system for Thailand's local administrative organization via route and location selection

This study proposed a decision support system (DSS) for optimizing transportation routing and disposal hub location for Thailand's local administrative organizations' hazardous waste management. The first step is to choose the origin and destination, as well as to collect data for each route. Each route's decision criteria were based on traffic quality and risk measures from the perspective of users. An analytic hierarchy process (AHP) was used to compute effective weights for decision criteria. To achieve optimal routing, AHP weights were combined with a zero-one goal programming technique. The DSS operates systematically and successfully, taking into account both transportation risk and socioeconomic factors, and provides appropriate routes. Overall, this waste management system may provide useful information to decision-makers for prioritizing disposal site alternatives and implementing feasible waste management actions. The zero-one location design was then used to determine the best hub location. Based on two scenarios of six and fifteen CoG hubs, the results revealed that the best model for managing a case company's hazardous waste was to establish 15 hubs scattered throughout the country for collecting points and then transporting them to the waste disposal plant in Phitsanulok province. Locating the hub near sink points would reduce transportation costs and backhaul issues, reducing the environmental impact of GHG emissions and increasing system efficiency.Implications: The problem of waste pollution has become increasingly serious all over the world, particularly in developing countries that face significant pollution control challenges. End-of-life wastes cause economic, health, and environmental problems if they are not properly managed. As the world's population and living standards rise, so does the amount of waste produced. The environmental impact is significant, with massive amounts of waste generated each year with only basic or minimal treatment to mitigate its impact. As a result, there is an urgent need for a method that can precisely optimize transportation routing and disposal hub location for Thailand's local administrative organizations' hazardous waste management (LAOs). The proposed decision support system (DSS) may provide useful information to decision-makers in prioritizing disposal site alternatives and implementing feasible waste management actions.