Location set covering for waste resource recycling centers in Taiwan

Yang, Lin; Ye, Chunming; Chuang, Yi-Fei

doi:10.1016/j.resconrec.2011.05.007

Cited by 25 publications

(14 citation statements)

References 23 publications

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“…Ye et al. () apply the LSCP to finding locations for recycling centers in Taiwan, and Bell et al. () apply it to aircraft alert sites for protection of strategically important areas.…”

Section: Approach To Problem and Literaturementioning

confidence: 99%

Siting of HIV/AIDS diagnostic equipment in South Africa: a case study in locational analysis

Smith

Smith²,

Glencross

et al. 2017

Int Trans Operational Res

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This paper describes a practical application of locational analysis to the siting of HIV/AIDS diagnostic equipment in laboratories across South Africa. Classical location analytical techniques were extended to ensure that laboratories are sited as close as possible to major centers of demand from hospitals and clinics. A particular advantage of the modified set covering algorithm developed is that choices between laboratory sites are made in a transparent manner. In order to find appropriate numbers and ideal placement of CD4 laboratories, runs were undertaken for various scenarios based on maximum travel time from health facilities to laboratory sites. Results demonstrated to decision makers showed close comparisons with pilot review projects undertaken in four health districts of South Africa. The research has potential to impact health-care delivery to HIV sufferers in the poorest rural regions of the country.

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“…Ye et al. () apply the LSCP to finding locations for recycling centers in Taiwan, and Bell et al. () apply it to aircraft alert sites for protection of strategically important areas.…”

Section: Approach To Problem and Literaturementioning

confidence: 99%

Siting of HIV/AIDS diagnostic equipment in South Africa: a case study in locational analysis

Smith

Smith²,

Glencross

et al. 2017

Int Trans Operational Res

View full text Add to dashboard Cite

show abstract

“…Natural changes during the life-span of the facility can drastically affect the interest of a particular location, twirling today's optimal location into an investment disaster. Therefore, establishing the best sites for new SWAPs is an important strategic challenge [4].…”

Section: Related Workmentioning

confidence: 99%

Designing a nation-wide network of solar and wind-assisted parks for Nigeria and for Ghana

Ikejemba

Schuur

2016

Int J Energy Environ Eng

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The further development of sub-Saharan Africa is hinged on the possibility of the provision of uninterrupted power supply. Agriculture, education, and the economy in general are greatly affected by the power outage that has become difficult to comprehend. The energy system is inauspicious that only one in five inhabitant has access to electricity. Having electricity is necessary. Having access to clean energy is crucial. For example, a large number of people in Nigeria have electrical generators that release toxic fumes detrimental to the human health. Utilizing clean energy is considered the way of the future and to do that strategically locating the generating plants is important. Therefore, the introduction of solar parks (SPs) as well as solar and wind-assisted parks (SWAPs) on a wide scale is worthy of consideration since it yields an effective way of generating clean energy. This paper presents the application of a location model for SPs and SWAPs from a country's perspective. In particular, we focus on Nigeria and Ghana. The power supply infrastructure of both countries, as well as the policies surrounding the provision of off-grid energy are analyzed in depth. We present the advantages and disadvantages of two different methods (the grid approach and the problem owner method). We choose a hybrid approach by combining the grid and the problem owner method (POM). We apply the grid method to regions with high population density and utilize the POM for less populated areas. Furthermore, we take into account power plants that are operational or will be so in the near future. In the above fashion we design two separate, capacitated networks of SPs and SWAPs, one for Ghana, one for Nigeria. Each of these is powerful enough to cover-in a sustainable waythe energy requirement of the majority of households by a facility within reasonable distance.

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“…Kannan et al 26 designed a battery recycling network using a genetic algorithm. In order to solve the problem of waste resource recycling centers, Ye et al 27 built a location set covering model. Santibanez-Gonzales and Diabat 28 built a mathematical model and solved a three-echelon reverse supply chain design problem.…”

Section: Introductionmentioning

confidence: 99%

Optimization of a regional distribution center location for parts of end-of-life vehicles

et al. 2017

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The high transportation cost of the parts of end-of-life vehicles (ELVs) has received a great deal of attention lately, and different approaches for solving the problem have been taken. In this paper, a bi-level programming model is developed to decompose the distribution center location problem for the parts of ELVs in order to obtain a trade-off between the location cost of the distribution center and the transportation cost. The upper level determines the sites of distribution centers and the lower level represents the delivery routes under any location pattern of candidate sites of distribution centers. The proposed model is illustrated by real data and the results demonstrate that it can be an effective method to determinate a distribution center for ELVs.

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Location set covering for waste resource recycling centers in Taiwan

Cited by 25 publications

References 23 publications

Siting of HIV/AIDS diagnostic equipment in South Africa: a case study in locational analysis

Siting of HIV/AIDS diagnostic equipment in South Africa: a case study in locational analysis

Designing a nation-wide network of solar and wind-assisted parks for Nigeria and for Ghana

Optimization of a regional distribution center location for parts of end-of-life vehicles

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