Improved approaches to the network design problem in regional hazardous waste management systems

Zhao, Jun; Huang, Lixia; Lee, Der-Horng; Peng, Qiyuan

doi:10.1016/j.tre.2016.02.002

Cited by 78 publications

(57 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The population exposure to medical waste transit and treatment facilities was considered as the main parameter for measuring the consequence of risk event. Herein, the facility risk was estimated by PbA = πr 2 (km 2 ×Population density (people/km 2 [83], where the affected radius was set to 1 km for transit stations and 3 km for treatment centers. The medical waste in Wuhan is currently treated at a specialized facility located at the Guodingshan incineration plant, which has a capacity of approximately 18,000 ton/year [80].…”

Section: Data Generationmentioning

confidence: 99%

“…To evaluate the risk related to facility operations, in accordance with Zhao Tables 1-3 present the relevant cost parameters and capacities of both existing and temporary facilities. The size and cost parameters for setting up the same-type temporary facilities at different locations were set to identical value and were assumed based on Wang, Huang and He [42], Zhao and Huang [65] and Zhao et al [83]. The transportation cost is proportional to the travel distance.…”

Section: Data Generationmentioning

confidence: 99%

“…The transportation cost is proportional to the travel distance. In this case study, the unit transportation cost was set to 35 yuan/ton/km [83]. Then, the transportation cost of infectious medical waste on each link was calculated.…”

Section: Data Generationmentioning

confidence: 99%

See 2 more Smart Citations

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Sun

Solvang

et al. 2020

IJERPH

277

234

View full text Add to dashboard Cite

The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse logistics network for dealing with medical waste during epidemic outbreaks, which, if improperly treated, may accelerate disease spread and pose a significant risk for both medical staffs and patients. Therefore, this paper proposes a novel multi-objective multi-period mixed integer program for reverse logistics network design in epidemic outbreaks, which aims at determining the best locations of temporary facilities and the transportation strategies for effective management of the exponentially increased medical waste within a very short period. The application of the model is illustrated with a case study based on the outbreak of the coronavirus disease 2019 in Wuhan, China. Even though the uncertainty of the future COVID-19 spread tendency is very high at the time of this research, several general policy recommendations can still be obtained based on computational experiments and quantitative analyses. Among other insights, the results suggest installing temporary incinerators may be an effective solution for managing the tremendous increase of medical waste during the COVID-19 outbreak in Wuhan, but the location selection of these temporary incinerators is of significant importance. Due to the limitation on available data and knowledge at present stage, more real-world information are needed to assess the effectiveness of the current solution.

show abstract

Section: Data Generationmentioning

confidence: 99%

Section: Data Generationmentioning

confidence: 99%

See 1 more Smart Citation

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Sun

Solvang

et al. 2020

IJERPH

277

234

View full text Add to dashboard Cite

show abstract

“…Articles using analytical and quantitative methods have numerical or quantifiable measures such as profit margin, transportation costs and waste volume (Britto et al, 2010;Chen and Wang, 2016;Zhao et al, 2016) while others rather employ qualitative or new measures such as stakeholder salience and pressure (Gualandris et al, 2015;Tate et al, 2011). Empirical methods including case study, survey, experiment, interviews, informal discussions and using available empirical data are more popular with 88 articles, while 31 articles use analytical/mathematical approaches, and 8 articles use conceptual methods.…”

Section: Performance Measuresmentioning

confidence: 99%

Interactions in sustainable supply chain management: a framework review

Yun

Yalcin

Hales

et al. 2019

IJLM

View full text Add to dashboard Cite

Purpose-This study evaluates the research conducted among the interim, dyadic interactions that bridge the stand-alone measures of economic, environmental, and social performance and the level of sustainability, as suggested in the Carter & Rogers (2008) framework. Design/methodology/approach-This paper conducts a systematic literature review based on the Tranfield et al. (2003) method of the articles published in 13 major journals in the area of supply chain management between the years of 2010 and 2016. Results were analyzed using an expert panel. Findings-The area of research between environmental and social performance is sparse and relegated to empirical investigation. As an important area of interaction, this area needs more research to answer the how and why questions. The economic activity seems to be the persistent theme among the interactions. Research implications-The literature on the "ES" interactions is lacking in both theoretical and analytical content. Studies explaining the motivations, optimal levels, and context that drive these interactions are needed. The extant research portrays economic performance as if it cannot be sacrificed for social welfare. This approach is not in line with the progressive view of SSCM but instead the binary view with an economic emphasis. Practical implications-To improve sustainability, organizations need the triple bottom line (TBL) framework that defines sustainability in isolation. However, they also need to understand how and why these interactions take place that drive sustainability in organizations. Originality/value-This is the first study to examine the literature specifically dedicated to the essential, interim, dyadic interactions that bridge the gap between stand-alone performance and the TBL that creates true sustainability. It also shows how the literature views the existence of sustainability is progressive, but many describe sustainability as binary. It is possible that economic sustainability is binary, and progressive characterizations of SSCM could be the reason behind the results favoring economic performance over environmental and social.

show abstract

“…Zhao and Verter [24] have offered a two-objective model to minimize the total cost and risk and determine the facility location of the used petroleum products, treatment facilities and disposal facilities, and to determine the optimal transportation routes. Zhao et al [25] developed a multiobjective mixed integer programming model by using extended weighted Tchebycheff approximation and extended ε-constraint approximations for facility location and routing problem. Yilmaz et al [26] developed a model in which the environmental impacts of the multiobjective hazardous waste facility location and routing problem, where the total cost and risk are minimized.…”

Section: Introductionmentioning

confidence: 99%

The hazardous waste location and routing problem: an application in Marmara Region in Turkey

Utku

Erol

2020

SN Appl. Sci.

View full text Add to dashboard Cite

Hazardous waste management involves the collection, transportation, processing, recycling and disposal of industrial and domestic wastes. In this study, a single objective, multi-product mixed integer programming model for hazardous waste facility location and routing problem is developed for the hazardous waste management problem. The aim of the study is to locate hazardous waste treatment, recycling and disposal facilities to the designated candidate locations with the lowest cost and highest profit. With this, we try to ensure that the waste is transported between hazardous waste generation centers and these facilities with the minimum cost and maximum revenue. Unlike the studies in the literature, we constructed an enhanced model that take all the following properties into account: the location of hazardous waste treatment, recycling and disposal facilities; transportation of hazardous waste, hazardous recycled materials and hazardous waste residues between these facilities; cost, revenue, risk, capacity and technology compatibility. The model provides to decide the sorts of facilities which are needed by considering the type and amount of hazardous waste generated in determining where to locate these facilities. The model, also, determines which types of hazardous waste can be transported between the facilities. The developed model is applied to the Marmara Region with the real data provided by the Republic of Turkey Ministry of Environment and Urbanization. Accordingly, the results are evaluated and presented.

show abstract

Improved approaches to the network design problem in regional hazardous waste management systems

Cited by 78 publications

References 25 publications

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Interactions in sustainable supply chain management: a framework review

The hazardous waste location and routing problem: an application in Marmara Region in Turkey

Contact Info

Product

Resources

About