A new multi-objective mathematical model for hazardous waste management considering social and environmental issues

Authors

  • Hamed Farrokhi-Asl School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
  • Masoud Rabbani School of Industrial Engineering, College of engineering, University of Tehran, Tehran, Iran
  • Saeed Danesh Shahraki School of Industrial Engineering, College of engineering, University of Tehran, Tehran, Iran
  • Stanley Frederick W.T. Lim Institute for Manufacturing, University of Cambridge, Cambridge, United Kingdom & W.P. Carey School of Business, Arizona State University, Tempe, United States
Abstract:

Hazardous waste management incorporates collection, separation, treatment, recycling and disposal of hazardous wastes. In this paper, a new multi-objective mixed integer model is presented for hazardous waste collection problem. The model aims to minimize transportation and construction costs, and environmental and population risks in hazardous waste management systems. This model is applied in a case study of Iran in order to help decision makers to decide on the location of separation, treatment, recycle, disposal centers, and established technology in treatment center. Moreover, this paper specifies routes between different facilities in collection network. For addressing population and environmental impacts and economical costs, three objective functions including total costs, total population exposure risk, and environmental risks are considered. An augmented ε-constraint method is used to generate Pareto optimal solution for these conflicting objectives. Finally, proposed model is utilized in our case study and numerical results and some managerial insights are provided.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

A mathematical model for sustainable probabilistic network design problem with construction scheduling considering social and environmental issues

Recent facility location allocation problems are engaged with social, environmental and many other aspects, besides cost objectives.Obtaining a sustainable solution for such problems requires development of new mathematical modeling and optimization algorithms. In this paper, an uncapacitated dynamic facility location-network design problem with random budget constraints is considered. Social i...

full text

Solving a Multi-Objective Location-Routing Problem for Hazardous Waste Management Industrial

Industrial hazardous materials (hazmat) are byproduct of industrial production and include hazardous goods, such as flammable, toxic and corrosive materials that pose a risk to the environment.Hazardous waste management includes collection, transportation, treatment, recycling and disposal of industrial hazardous material in an organized manner. With the increasing industrialization of countrie...

full text

A new multi-objective mathematical model for a Citrus supply chain network design: Metaheuristic algorithms

Nowadays, the citrus supply chain has been motivated by both industrial practitioners and researchers due to several real-world applications. This study considers a four-echelon citrus supply chain, consisting of gardeners, distribution centers, citrus storage, and fruit market. A Mixed Integer Non-Linear Programming (MINLP) model is formulated, which seeks to minimize the total cost and maximi...

full text

A multi-objective mathematical model for production-distribution scheduling problem

With increasing competition in the business world and the emergence and development of new technologies, many companies have turned to integrated production and distribution for timely production and delivery at the lowest cost of production and distribution and with the least delay in delivery. By increasing human population and the increase in greenhouse gas emissions and industrial waste, in...

full text

A fuzzy multi-objective model for a project management problem

In this research, the multi-objective project management decision problem with fuzzy goals and fuzzy constraints are considered. We constitute α-cut approach and two various fuzzy goal programming solution methods for solving the Multi-Objective Project Management (MOPM) decision problem under fuzzy environments. The Interactive fuzzy multi-objective linear programming (i-FMOLP) and Weighted Ad...

full text

Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization

Mathematical programming and artificial intelligence (AI) methods are known as the most effective and applicable procedures to form manufacturing cells in designing a cellular manufacturing system (CMS). In this paper, a bi-objective programming model is presented to consider the cell formation problem that is solved by a proposed multi-objective particle swarm optimization (MOPSO). The model c...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 11  issue 4

pages  831- 865

publication date 2018-11-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023