TAZ_OPT: A goal programming model for ambulance location and allocation

Shuib, Adibah; Zaharudin, Zati Aqmar

doi:10.1109/chuser.2011.6163878

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Due to the live location tracking of ambulances, the patient is well informed of the live location of the ambulance. TAZ_OPT: A goal programming model for ambulance location and allocation [6], determines the satellite location of the ambulances. It is a programming model, developed to facilitate the decision making process when dispatching an ambulance.…”

Section: Literature Surveymentioning

confidence: 99%

Save Here: Emergency Response Application

Rai¹,

Taraviya²,

Pawade³

et al. 2021

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICA

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The current ratio of medical emergency services available in India is very limited in comparison to the actual population of our country India. Due to this, nearly 27% of the total deaths in India happen because of the absence of medical attention at the time of medical emergency. In this paper, we have proposed an application which provides quick medical emergency assistance for a patient, based on the patient's real time location. The allocation of the closest Ambulance driver/Save Here Members and closest Hospital for the patient is also done based on the real time location of the patient, ambulance and Save Here Members. With just a click of a button present on our application, the patient can place a request for medical emergency assistance and then the allocated nearest Ambulance driver / Save Here Member would be notified about the patient's details and location. The allocated Ambulance/Save Here Member providing medical emergency assistance to the patient, is shown the shortest route to the patients pick up location and then to the closest hospital with the help of our application.

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Section: Literature Surveymentioning

confidence: 99%

Save Here: Emergency Response Application

Rai¹,

Taraviya²,

Pawade³

et al. 2021

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICA

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“…This constraint also specifies the total allocation of bins at the selected location j while ensuring sufficient bin capacities. In the proposed model, the availability concept in the objective function ( 1) is adapted from Shuib and Zaharudin (2011) where i.e., the capability of facility j to cover demand for the area i.…”

Section: Mathematical Modelmentioning

confidence: 99%

Establishing Recycling Bins Location and Allocation for Sustainable Urban Municipalities of Johor Bahru in Malaysia

Jamiron¹,

Sarif²,

Rahman³

et al. 2021

IJAREMS

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Recycling helps reduce the amount of waste sent to landfills besides being one of the most crucial components of the circular economy system. This good practice is carried out through reverse and forward logistic systems and is in line with two Sustainable Development Goals (SDGs), namely SDG 11 (make cities inclusive, safe, resilient, and sustainable) and SDG 12 (responsible consumption and production). Since the 1970s, Malaysia's government has been committed to strengthening recycling systems, but public support has been lacking. In fact, most recyclable waste is sent to the landfill. A high degree of participation in recycling practices by the highest municipal waste generators, i.e., the household level, is critical. Encouraging waste separation at the household level, as well as providing appropriate locations for recycling facilities (such as drop-off recycling bins), could attract public participation in recycling programmes, resulting in higher recycling rates, and lowering waste sent to landfills. For this reason, this study determines the location and allocation of recycling bins within the selected household areas of Johor Bahru, an urban municipality in Malaysia, by using a mathematical model. The model was found to be capable of determining the optimal location-allocation for recycling bins to cover the study area.

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“…Additionally, one of the most interesting tools that supports ambulances is coverage maps. In [25][26][27] some interesting applications of coverage maps are described that show the potential duration of an ambulance's passage to a given place. Other examples include the analysis of vaccine coverage maps [28], as well as systems that support decisions regarding the distribution of patients in hospitals for special purposes [29].…”

Section: Introductionmentioning

confidence: 99%

Emergency ambulance speed characteristics: a case study of Lesser Poland voivodeship, southern Poland

et al. 2021

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The correct estimation of ambulance travel time is an extremely important issue from the perspective of healthcare and the security of citizens. In some events, the threat to the health or life of an injured person increases with each minute of waiting for an ambulance. The authors of this article analyzed how ambulances travel throughout the entire Lesser Poland voivodeship in southern Poland. Based on the analysis of 300 million GPS records that were collected over several years from 300 ambulances, real ambulance speed characteristics were compiled for the most important cities in the region. The obtained results regarding ambulance speed characteristics were used to understand the correlation between ambulance speed, the density of the road network, and the built-up areas of a given city. Furthermore, the impact on the speed of ambulances of traffic, time of day, day of the week, or the season was also examined. The influence of the use of ambulances’ lights/sirens on travel time was also examined. The culmination of the research was the presentation of the theoretical foundations of coverage maps and a method of implementing them based on the determined speed characteristics. The presented studies show that the speed at which ambulances move is a very local phenomenon. Also, a relatively constant average speed of ambulances throughout the whole week was found. Moreover, a difference in speed between signaled and non-signaled ambulance trips was observed. The speed characteristics that were obtained were used as input data for the development of dynamic coverage maps, which are an invaluable tool for supporting the decisions of ambulance dispatchers.

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TAZ_OPT: A goal programming model for ambulance location and allocation

Cited by 4 publications

References 9 publications

Save Here: Emergency Response Application

Save Here: Emergency Response Application

Establishing Recycling Bins Location and Allocation for Sustainable Urban Municipalities of Johor Bahru in Malaysia

Emergency ambulance speed characteristics: a case study of Lesser Poland voivodeship, southern Poland

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