4.7 Article

Design of urban medical waste recycling network considering loading reliability under uncertain conditions

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Hierarchical clustering-based algorithms for optimal waste collection point locations in large-scale problems: A framework development and case study

Adam Viktorin et al.

Summary: This paper presents a new computational approach for the location and allocation of waste collection points in cities. The approach is tested and compared using artificial instances and case studies. The results show that the approach is effective for large-scale instances.

COMPUTERS & INDUSTRIAL ENGINEERING (2023)

Article Computer Science, Artificial Intelligence

Tackling the rich vehicle routing problem with nature-inspired algorithms

Veronika Lesch et al.

Summary: This research incorporates the main real-world constraints and requirements, proposing a two-stage strategy and a Timeline algorithm for time windows and pause times. It applies Genetic Algorithm (GA) and Ant Colony Optimization (ACO) individually to the Vehicle Routing Problem and obtains optimal solutions in a reasonable time.

APPLIED INTELLIGENCE (2022)

Article Environmental Sciences

Sustainable multi-trip periodic redesign-routing model for municipal solid waste collection network: the case study of Tehran

Leila Mahdavi et al.

Summary: This study proposes a sustainable multi-period and multi-trip vehicle routing problem and develops an extended social life cycle assessment method based on UNEP guidelines. The results indicate that the system's social score is influenced by collection frequency decisions, redesign policies, and the number of demand nodes.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022)

Article Engineering, Environmental

Cuckoo optimization algorithm in reverse logistics: A network design for COVID-19 waste management

Elham Shadkam

Summary: This paper highlights the significance of reverse logistics in managing return product logistics activities and how to design and implement reverse logistics to reduce costs. With the outbreak of COVID-19, waste management becomes crucial, and a reverse logistics model for COVID-19 waste management is proposed, solved using the cuckoo optimization algorithm for analysis.

WASTE MANAGEMENT & RESEARCH (2022)

Article Computer Science, Artificial Intelligence

A Cluster-based Stratified Hybrid Decision Support Model under Uncertainty: Sustainable Healthcare Landfill Location Selection

Erfan Babaee Tirkolaee et al.

Summary: Nowadays, healthcare waste management has become an important environmental, health, and social issue. This study proposes a novel decision support system that integrates various methods to address the landfill location selection problem for healthcare waste. The system considers factors such as waste generation rate, potential events, and uncertainty in experts' opinion. A real case study in Iran demonstrates the feasibility and efficiency of the proposed methodology.

APPLIED INTELLIGENCE (2022)

Article Environmental Sciences

Analyzing failures in adoption of smart technologies for medical waste management systems: a type-2 neutrosophic-based approach

Ali Ebadi Torkayesh et al.

Summary: This study proposes a multi-criteria evaluation model based on type-2 neutrosophic numbers to identify factors contributing to the failure in the adoption of IoT and blockchain in smart MWM systems in Istanbul, Turkey. The results indicate that training for different stakeholders, market acceptance, transparency, and professional personnel are the main factors leading to failure in the adoption of smart technologies.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2022)

Article Engineering, Civil

A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics

Jian-Yu Li et al.

Summary: This paper proposes a multi-objective VRP model (VRP4E) and a novel algorithm (MOACS4E) for epidemic situations. The model takes into account both traditional travel costs and prevention costs, while the algorithm uses two ant colonies to optimize these costs separately. Experimental results demonstrate the effectiveness of MOACS4E.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Computer Science, Interdisciplinary Applications

Clustering, location, and allocation in two stage supply chain for waste management: A fractional programming approach

Massimiliano Caramia et al.

Summary: This paper proposes a new model for solving waste management problems, using fractional programming to address strategic objectives related to costs and utility. Experimental results demonstrate that the model is effective in generating high quality solutions.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

Article Computer Science, Interdisciplinary Applications

Hybrid robust and stochastic optimization for a capital-constrained fresh product supply chain integrating risk-aversion behavior and financial strategies

Zhimin Guan et al.

Summary: This article investigates a fresh product supply chain for an omnichannel retailer and proposes a two-stage stochastic optimization model that incorporates risk aversion behavior and financial flow into supply chain optimization. A hybrid robust and stochastic optimization approach is developed to handle two types of uncertainties in the supply chain. Through numerical studies, the applicability of the proposed model and the efficiency of the solution approach are demonstrated, providing important managerial insights.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

Article Metallurgy & Metallurgical Engineering

Rescue vehicle allocation problem based on optimal reliable path under uncertainty

Liang Shen et al.

Summary: This paper investigates the consideration of travel time variation for rescue vehicles in the field of emergency management research. It proposes an optimal reliable path finding (ORPF) model that takes into account the uncertainties of travel time and link correlations, and explores how to optimize rescue vehicle allocation to minimize rescue time under uncertain conditions. The results highlight the importance of considering travel time reliability in allocation schemes.

JOURNAL OF CENTRAL SOUTH UNIVERSITY (2022)

Article Computer Science, Interdisciplinary Applications

A mathematical model for designing a network of sustainable medical waste management under uncertainty

Nasrin Malekpoor Joneghani et al.

Summary: This article introduces the sustainable location-allocation problem in medical waste management and proposes a multi-objective mixed-integer linear programming model, which is being implemented in Iran. The findings of the model implementation show that recycling and waste-to-energy can generate income and reduce greenhouse gas emissions.

COMPUTERS & INDUSTRIAL ENGINEERING (2022)

Article Green & Sustainable Science & Technology

A dynamic location-arc routing optimization model for electric waste collection vehicles

Sahar Moazzeni et al.

Summary: Waste collection management is vital in controlling pandemic outbreaks, and electric waste collection systems and vehicles can enhance the efficiency and effectiveness of municipal sanitation processes worldwide. This paper introduces a dynamic location-arc routing optimization model for electric waste collection vehicles and solves large-sized NP-hard routing problems using genetic algorithms and grey wolf optimizers. It provides an optimal routing plan for waste collection vehicles and determines the best locations for charging stations.

JOURNAL OF CLEANER PRODUCTION (2022)

Article Green & Sustainable Science & Technology

Designing a sustainable logistics network for hazardous medical waste collection a case study in COVID-19 pandemic

Mehmet Erdem

Summary: This paper proposes a sustainable network design for hazardous medical waste collection services, addressing environmental and public health concerns. By introducing an electric vehicle routing problem, an effective heuristic algorithm is designed, and experimental and sensitivity analysis validate the algorithm's performance and the impact of different charger types.

JOURNAL OF CLEANER PRODUCTION (2022)

Article Operations Research & Management Science

A Bi-objective stochastic programming model for the household waste collection and transportation problem: case of the city of Sousse

Haifa Jammeli et al.

Summary: This study developed a model for household waste collection and transportation in the city of Sousse, Tunisia, aiming to minimize costs and environmental impact. By optimizing vehicle routes and bin assignments, it achieved a nearly 38% reduction in economic costs and lower environmental impact.

OPERATIONAL RESEARCH (2021)

Article Computer Science, Interdisciplinary Applications

Parallel batch k-means for Big data clustering

Rasim M. Alguliyev et al.

Summary: This article introduces a new parallel batch clustering algorithm based on the k-means algorithm, which reduces computation complexity by splitting the dataset into multiple partitions and proposes a method to determine the optimal batch size. Experimental results show the practical applicability of this method for handling Big Data.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

Article Environmental Sciences

Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak

Erfan Babaee Tirkolaee et al.

Summary: A novel mixed-integer linear programming model was developed to optimize medical waste management during the COVID-19 pandemic. The model aims to minimize total traveling time, violation from time windows/service priorities, and infection/environmental risk. Time windows play a key role in defining service priorities for hospitals with different risk levels.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Computer Science, Information Systems

Optimization of VRR for Cold Chain with Minimum Loss Based on Actual Traffic Conditions

Lishuan Hu et al.

Summary: The study aims to find optimal routes to minimize total losses in cold-chain logistics, using an ant colony optimization algorithm combined with Pareto local search for solving. The experiment results show that the method has strong applicability and potential advantages, with important practical significance and application value.

WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2021)

Article Engineering, Environmental

A sustainable medical waste collection and transportation model for pandemics

Erfan Babaee Tirkolaee et al.

Summary: During the COVID-19 pandemic, medical waste management has become a major concern for public service organizations like municipalities, involving logistics, environmental, and social aspects. Although there are various methods and studies in literature, few have focused on improving vehicle operations in waste management while considering environmental factors and outsourcing options.

WASTE MANAGEMENT & RESEARCH (2021)

Article Computer Science, Interdisciplinary Applications

Medical waste management during coronavirus disease 2019 (COVID-19) outbreak: A mathematical programming model

Kannan Govindan et al.

Summary: This paper presents a bi-objective mixed-integer linear programming model to minimize total costs and risks of population exposure to pollution during the management of medical waste generated by COVID-19. Realistic assumptions are considered, and a fuzzy goal programming approach is applied to assess the efficiency of the model using data from 13 nodes of medical waste production in a location west of Tehran.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

Article Computer Science, Interdisciplinary Applications

Safe distance-based vehicle routing problem: Medical waste collection case study in COVID-19 pandemic

Emre Eren et al.

Summary: This research aims to determine the safest and shortest transportation routes for medical waste vehicles due to the increasing amount and variety of medical waste caused by the COVID-19 pandemic. A multi-objective solution was derived using safety scores and total transportation distance, providing suggestions for the direction of medical waste vehicles in a specific district of Istanbul.

COMPUTERS & INDUSTRIAL ENGINEERING (2021)

Article Green & Sustainable Science & Technology

Multi-Objective Optimization for Healthcare Waste Management Network Design with Sustainability Perspective

Ali Ebadi Torkayesh et al.

Summary: Healthcare Waste Management is a crucial urban decision-making problem, with potential environmental, economic, and social risks. This paper proposes a novel multi-objective optimization model to empower companies in making optimized decisions considering economic, environmental, and social aspects. The model aims to minimize costs, environmental risks, maximize job creation opportunities, and is compared with the Goal Attainment Method.

SUSTAINABILITY (2021)

Article Computer Science, Interdisciplinary Applications

Development of new seed with modified validity measures for k-means clustering

S. Manochandar et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

Article Computer Science, Interdisciplinary Applications

Medical waste collection considering transportation and storage risk

Masoumeh Taslimi et al.

COMPUTERS & OPERATIONS RESEARCH (2020)

Article Computer Science, Information Systems

Parking Guidance Models and Algorithms Considering the Earliest Arrival Time and the Latest Departure Time

Zhenzhen Yang et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Article Green & Sustainable Science & Technology

A stochastic network design problem for hazardous waste management

Hao Yu et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Economics

A healthcare logistic network considering stochastic emission of contamination: Bi-objective model and solution algorithm

Mohammad Nikzamir et al.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)

Article Economics

Finding the reliable shortest path with correlated link travel times in signalized traffic networks under uncertainty

Liang Shen et al.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2020)

Article Transportation Science & Technology

An energy-efficient reliable path finding algorithm for stochastic road networks with electric vehicles

Liang Shen et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)

Article Computer Science, Interdisciplinary Applications

Solving the Feeder Vehicle Routing Problem using ant colony optimization

Ying-Hua Huang et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

Article Computer Science, Interdisciplinary Applications

Prioritized K-mean clustering hybrid GA for discounted fixed charge transportation problems

Farhad Ghassemi Tari et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2018)

Article Environmental Sciences

Stochastic modeling and optimization of medical waste collection in Northern Jordan

Hussam Alshraideh et al.

JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Genetic Algorithm Adoption to Transport Task Optimization

Anna Burduk et al.

INTERNATIONAL JOINT CONFERENCE SOCO'16- CISIS'16-ICEUTE'16 (2017)

Article Engineering, Industrial

A multi-depot vehicle-routing model for the explosive waste recycling

Jiahong Zhao et al.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2016)

Article Operations Research & Management Science

Single facility collection depots location problem with random weights

Dongyan Chen et al.

OPERATIONAL RESEARCH (2016)

Article Computer Science, Artificial Intelligence

Hybridized ant colony algorithm for the Multi Compartment Vehicle Routing Problem

Mohamed M. S. Abdulkader et al.

APPLIED SOFT COMPUTING (2015)

Article Computer Science, Interdisciplinary Applications

A restricted dynamic model for refuse collection network design in reverse logistics

Ji-Su Kim et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2013)

Article Computer Science, Interdisciplinary Applications

A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows

Thibaut Vidal et al.

COMPUTERS & OPERATIONS RESEARCH (2013)

Article Computer Science, Interdisciplinary Applications

Flexible flow shop scheduling with stochastic processing times: A decomposition-based approach

S. H. Choi et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2012)

Article Computer Science, Interdisciplinary Applications

A genetic algorithm based approach to vehicle routing problem with simultaneous pick-up and deliveries

A. Serdar Tasan et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2012)

Article Engineering, Environmental

Pareto frontier analyses based decision making tool for transportation of hazardous waste

Arup Das et al.

JOURNAL OF HAZARDOUS MATERIALS (2012)

Article Engineering, Environmental

Geographic information system-based healthcare waste management planning for treatment site location and optimal transportation routeing

Jothiganesh Shanmugasundaram et al.

WASTE MANAGEMENT & RESEARCH (2012)

Article Environmental Sciences

An inexact reverse logistics model for municipal solid waste management systems

Yi Mei Zhang et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2011)

Article Computer Science, Information Systems

An evolutionary technique based on K-Means algorithm for optimal clustering in RN

S Bandyopadhyay et al.

INFORMATION SCIENCES (2002)

Article Computer Science, Artificial Intelligence

Multi colony ant algorithms

M Middendorf et al.

JOURNAL OF HEURISTICS (2002)