A multi-objective location-routing model for dental waste considering environmental factors

Nowadays, the amounts of infectious medical waste (IMW) have surged considerably so waste management has become a critical emergency in many developing countries. However, most large medical waste generation centers (MWGC) are equipped with treatment facilities, small MWGC faces the waste management...

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Veröffentlicht in:Annals of operations research Jg. 328; H. 1; S. 755 - 792
Hauptverfasser: Kordi, Ghazale, Hasanzadeh-Moghimi, Parsa, Paydar, Mohammad Mahdi, Asadi-Gangraj, Ebrahim
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.09.2023
Springer Nature B.V
Schlagworte:
Business and Management
Combinatorics
Developing countries
Emergency medical services
Environmental impact
Goal programming
Health care facilities
LDCs
Mathematical models
Medical wastes
Operations research
Operations Research/Decision Theory
Original Research
Parameter sensitivity
Theory of Computation
Uncertainty
Waste management
Waste treatment
Fuzzy chance-constrained programming
Environmental considerations
Mathematical Model
Location-routing
Dental Waste
Goal programming
ISSN:0254-5330, 1572-9338
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Zusammenfassung:Nowadays, the amounts of infectious medical waste (IMW) have surged considerably so waste management has become a critical emergency in many developing countries. However, most large medical waste generation centers (MWGC) are equipped with treatment facilities, small MWGC faces the waste management problem. It reveals the significance of having a proper program for small health centers. This is an indisputable difficulty that governments bordered because it imposes great costs on societies, also the environmental problems caused by improper treatment are irreparable. To attend to all the essential aspects of the problem, this paper recommended a location-routing model with four objective functions to minimize the total costs, environmental pollution, the risk imposed on the population around disposal sites, and the total violation from the expected arrival time. Considering a multi-period problem with a maximum acceptable delay plays a key role to connect the assumptions to the real-world problem. In addition, for solving mathematical models based on case studies, the role of uncertainty is undeniable. The demand for dental waste treatment is not definite and is changed based on the different conditions thus fuzzy chance-constrained programming is proposed for this problem to tackle the uncertainty. The revised multi-choice goal programming method is considered to solve the model and a real case study for dental clinics in Babol city of Iran is investigated to illustrate the validation of the proposed model. The results indicate that the solution method can create a balance between four objective functions. Finally, sensitivity analyses are performed for some parameters to analyze the behavior of the objective functions.
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ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-022-04794-1