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

Tirkolaee, Erfan Babaee; Abbasian, Parvin; Weber, Gerhard

doi:10.1016/j.scitotenv.2020.143607

Cited by 241 publications

(165 citation statements)

References 27 publications

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“…A decomposition-based heuristic algorithm is proposed. Tirkolaee et al [12] investigate a sustainable multitrip location-routing problem with time windows for medical waste management.…”

Section: Literature Reviewmentioning

confidence: 99%

Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network

Lyu

et al. 2021

Mathematical Problems in Engineering

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This paper investigates a vehicle routing problem arising in the waste collection of the healthcare system with the concern of transportation risk. Three types of facilities abstracted from the health system are investigated in this paper, namely, facilities with collection points, facilities without collection points, and small facilities. Two-echelon collection mode is applied in which the waste generated by small facilities is first collected by collection points, and then transferred to the recycling centre. To solve this problem, we propose a mixed-integer linear programming model considering time windows and vehicle capacity, and we use particle swarm optimisation (PSO) algorithm for solving large-scale problems. Numerical experiments show the capability of the proposed algorithm. Sensitivity analysis is conducted to investigate the influence of facilities with collection points and the collection routes. This research can provide a decision support tool for the routing of waste collection in the healthcare system.

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“…A decomposition-based heuristic algorithm is proposed. Tirkolaee et al [12] investigate a sustainable multitrip location-routing problem with time windows for medical waste management.…”

Section: Literature Reviewmentioning

confidence: 99%

Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network

Lyu

et al. 2021

Mathematical Problems in Engineering

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“…Location and capacity of treatment plants and transfer stations as well as transport paths of vehicles are determined in this model. Scientific Programming Tirkolaee et al [6] investigate a sustainable multitrip location-routing problem with time windows for medical waste management. Travelling time, total violation of time windows, service priorities, total infection, and environmental risk are minimised in their model.…”

Section: Literature Reviewmentioning

confidence: 99%

Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows

Gao

et al. 2021

Scientific Programming

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The increasing gap between medical waste production and disposal stresses the urgency of further development of urban medical waste recycling. This paper investigates an integrated optimisation problem in urban medical waste recycling network. It combines the vehicle routing problem of medical facilities with different requirements and the collection problem of clinics’ medical waste to the affiliated hospital. To solve this problem, a compact mixed-integer linear programming model is proposed, which takes account of the differentiated collection strategy and time windows. Since the medical waste recycling operates according to a two-day pattern, the periodic collection plan is also embedded in the model. Moreover, we develop a particle swarm optimisation (PSO) solution approach for problem-solving. Numerical experiments are also conducted to access the solution efficiency of the proposed algorithm, which can obtain a good solution in solving large-scale problem instances within a reasonable computation time. Based on the results, some managerial implications can be recommended for the third-party recycling company.

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“…[23] studied the CCLAP with uncertain demand and customer locations by designing a hybrid intelligent algorithm to solve it. [24] proposed a novel mixed-integer linear programming model for multi-trip location-routing problem with time windows to cater for medical waste of COVID-19 pandemic. The model was tested for a real case study in Sari city of Iran to minimize the total traveling time, total violation from time windows and total risk of infection among population around disposal sites.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Due to this reason, this paper develops a hybrid heuristic algorithm based on CSBH and FDR to solve the problem. [9], [10], [11], [12], [8], [9], [13], [14], [1], [16], [17], [20], [19], [24], [27], [29] [18] [21], [23], [29] Fixed cost [30], [32] [5] [31], [37], [35]…”

Section: The Capacitated Location-allocation Problem With Fixed Costsmentioning

confidence: 99%

Hybrid cell selection-based heuristic for capacitated multi-facility weber problem with continuous fixed costs

et al. 2021

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Location-allocation problem (LAP) has attracted much attention in facility location field. The LAP in continuous plane is well-known as Weber problem. This paper assessed this problem by considering capacity constraints and fixed costs as each facility has different setup cost and capacity limit to serve customers. Previous studies considered profitable areas by dividing continuous space into a discrete number of equal cells to identify optimal locations from a smaller set of promising locations. Unfortunately, it may lead to avoid choosing good locations because unprofitable areas are still considered while locating the facilities. Hence, this allows a significant increment in the transportation costs. Thus, this paper intelligently selected profitable area through a hybridization of enhanced Cell Selection-based Heuristic (CSBH) and Furthest Distance Rule (FDR) to minimize total transportation and fixed costs. The CSBH divides customer distribution into smaller set of promising locations and intelligently selected profitable area to increase possibility of finding better locations, while FDR aims to forbid the new locations of the facilities to be close to the previously selected locations. Numerical experiments tested on well-known benchmark datasets showed that the results of hybrid heuristic outperformed single CSBH and FDR, while producing competitive results when compared with previously published results, apart from significantly improving total transportation cost. The new hybrid heuristic is simple yet effective in solving LAP.

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

Cited by 241 publications

References 27 publications

Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network

Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network

Routing Optimisation of Urban Medical Waste Recycling Network considering Differentiated Collection Strategy and Time Windows

Hybrid cell selection-based heuristic for capacitated multi-facility weber problem with continuous fixed costs

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