A stochastic multi-period industrial hazardous waste location-routing problem: integrating NSGA-II and Monte Carlo simulation
DOI10.1016/j.ejor.2018.07.024zbMath1403.90487OpenAlexW2884967400WikidataQ129510168 ScholiaQ129510168MaRDI QIDQ1991221
R. Heidari, Masoud Rabbani, Reza Yazdanparast
Publication date: 30 October 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2018.07.024
combinatorial optimizationlocation-routing problemsimulation optimizationindustrial hazardous wastesimheuristic
Numerical mathematical programming methods (65K05) Mixed integer programming (90C11) Multi-objective and goal programming (90C29) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06) Combinatorial optimization (90C27) Discrete location and assignment (90B80)
Related Items (13)
Cites Work
- A bi-objective model for the used oil location-routing problem
- A new model for the hazardous waste location-routing problem
- Hazardous waste management problem: the case for incineration
- An integrated vendor-buyer inventory model with order-processing cost reduction and permissible delay in payments
- Discrete facility location and routing of obnoxious activities.
- A multi-objective mathematical model for the industrial hazardous waste location-routing problem
- Solving a bi-objective transportation location routing problem by metaheuristic algorithms
- Vendor managed inventory model for single-vendor multi-retailer supply chains
- A memetic algorithm for a multi-objective obnoxious waste location-routing problem: a case study
- A survey of variants and extensions of the location-routing problem
- A model to assess risk, equity and efficiency in facility location and transportation of hazardous materials
- Handbook in Monte Carlo Simulation
This page was built for publication: A stochastic multi-period industrial hazardous waste location-routing problem: integrating NSGA-II and Monte Carlo simulation