A bi-objective robust optimization model for hazardous hospital waste collection and disposal network design problem

Homayouni, Zahra; Pishvaee, Mir Saman

doi:10.1007/s10163-020-01081-8

Cited by 32 publications

(11 citation statements)

References 31 publications

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“…Homayouni and Pishvaee [30] designed a collection and disposal network of hazardous hospital waste under uncertain condition. They built a multi-objective robust optimization model.…”

Section: Multi-objective Solution Methodsmentioning

confidence: 99%

Optimization of Location-Routing for the Waste Household Appliances Recycling Logistics under the Uncertain Condition

et al. 2022

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Waste household appliances and electronic products usually contain harmful substances which need scientific and reasonable collection, classification, processing, recovery and disposal to achieve sustainable and effective recycling and utilization. In recent years, due to the poor management of waste household appliances recycling logistics system, safety accidents occur frequently, which seriously harm the health and life safety of the society. This paper studies the risk management of recycling waste household appliances under uncertain conditions and establishes a risk measurement model under fuzzy population density. Considering the multi-stage and classification diversity of waste household appliances recycling logistics, the multi-objective location routing model and location -routing model are established respectively. Based on the model complexity analysis, the solution method of multi-objective model is designed. Finally, the validity of the model and algorithm is verified by examples and tests.

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“…Homayouni and Pishvaee [30] designed a collection and disposal network of hazardous hospital waste under uncertain condition. They built a multi-objective robust optimization model.…”

Section: Multi-objective Solution Methodsmentioning

confidence: 99%

Optimization of Location-Routing for the Waste Household Appliances Recycling Logistics under the Uncertain Condition

et al. 2022

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“…They employed the revised multi-choice goal programming (RMGP) method. Homayouni and Pishvaee ( 2020 ) surveyed hazardous hospital waste collection and disposal network design problem with a bi-objective robust optimization (RO) model. The objectives include total costs and total operational and transportation risk.…”

Section: Survey On Recent Mwcndmentioning

confidence: 99%

Viable medical waste chain network design by considering risk and robustness

Lotfi

Kargar

Gharehbaghi

et al. 2021

Environ Sci Pollut Res

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Medical waste management (MWM) is an important and necessary problem in the COVID-19 situation for treatment staff. When the number of infectious patients grows up, the amount of MWMs increases day by day. We present medical waste chain network design (MWCND) that contains health center (HC), waste segregation (WS), waste purchase contractor (WPC), and landfill. We propose to locate WS to decrease waste and recover them and send them to the WPC. Recovering medical waste like metal and plastic can help the environment and return to the production cycle. Therefore, we proposed a novel viable MWCND by a novel two-stage robust stochastic programming that considers resiliency (flexibility and network complexity) and sustainable (energy and environment) requirements. Therefore, we try to consider risks by conditional value at risk (CVaR) and improve robustness and agility to demand fluctuation and network. We utilize and solve it by GAMS CPLEX solver. The results show that by increasing the conservative coefficient, the confidence level of CVaR and waste recovery coefficient increases cost function and population risk. Moreover, increasing demand and scale of the problem makes to increase the cost function.

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“…The authors propose a decomposition-based heuristic algorithm to solve this problem. Homayouni and Pishvaee [23] propose a multi-objective robust optimization model to design a collection and disposal network of Hazardous Hospital Waste under uncertain conditions. The objectives minimize the total cost, including transportation and operations costs, and the real risk of transportation and operation.…”

Section: State Of the Artmentioning

confidence: 99%

A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes

2021

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The collection, transport, and final disposal of hospital waste may cause contamination and disease if improperly handled. Therefore, such residues are hazardous to the health of waste collectors. These wastes are generated by public agencies, such as hospitals, family health centers, dialysis centers, and private healthcare providers. In this study, a mixed-integer linear programming model is proposed for monthly customer scheduling and route assignment. The proposed approach was fulfilled according to customers’ collection frequency, truck capacity, and customer geographical location. The proposed mathematical model successfully balanced the number of customers and the workload during each day. The effectiveness of the proposed model was tested on data obtained from a waste collection company. The model has been implemented in AMPL language, and the performance of commercial solvers, GUROBI and CPLEX, to obtain an optimal solution were tested. The results show the efficiency of the proposed approach to balance the workload concerning previous scheduling is done ad hoc at the company. The use of the formulated model provides an automatic procedure that was previously performed manually. The methodology can be adapted to other companies with similar requirements.

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A bi-objective robust optimization model for hazardous hospital waste collection and disposal network design problem

Cited by 32 publications

References 31 publications

Optimization of Location-Routing for the Waste Household Appliances Recycling Logistics under the Uncertain Condition

Optimization of Location-Routing for the Waste Household Appliances Recycling Logistics under the Uncertain Condition

Viable medical waste chain network design by considering risk and robustness

A Mathematical Model for Scheduling and Assignment of Customers in Hospital Waste Collection Routes

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