Integrating GIS in reorganizing blood supply network in a robust-stochastic approach by combating disruption damages

Larimi, Niloofar Gilani; Azhdari, Abolghasem; Ghousi, Rouzbeh; Du, Bo

doi:10.1016/j.seps.2022.101250

Cited by 11 publications

(3 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is crucial to employ thorough and efficient decision-making methods for selecting the location of blood banks. During crisis like covid 19 pandemic, natural disasters, or other emergencies, the importance of having easily accessible and strategically placed blood banks becomes even more critical (Larimi, 2022).Rajshahi is one of the most densely populated cities in Bangladesh, and ensuring an efficient blood supply chain is essential to meet the healthcare needs of its residents [5] .There is a shortage of safe and reliable blood supply in Rajshahi resulting in difficulty in providing Proceedings of the 6 th Industrial Engineering and Operations Management Bangladesh Conference Dhaka, Bangladesh, December 26-28, 2023 © IEOM Society International timely blood transfusions to patients. This is caused by various factors such as limited blood bank locations, inadequate infrastructure, and ineffective coordination among blood centers (Chaimae 2020).…”

Section: Introductionmentioning

confidence: 99%

Mapping Blood Center Locations In Rajshahi By AHP And TOPSIS

Ibna Islam,

Sarkar,

Ahmmed

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

View full text Add to dashboard Cite

Efficient healthcare system relies on well-placed blood facilities. Blood centers collect donated blood, process it, and deliver it to hospitals for transfusion. Due to the importance of health care, this study addresses blood center placement as a multi-criteria decision-making (MCDM) problem. The purpose of this study is to develop a decision support system for determining the right location within the healthcare system for establishing a blood center in Rajshahi's most densely populated district. The system is developed through MCDM technique, Using the Analytic Hierarchy Process (AHP) combined with TOPSIS, which guides decision-makers in evaluating and selecting appropriate blood center locations. By using the system, identified criterias are weighted by AHP, and then alternatives are ranked by TOPSIS. Based on the normalized criteria weights, the ideal best and worst values of each of Rajshahi's four thanas have been determined. Based on the analysis of all alternatives, a score of six criteria determined Shah Mokhdum a thana to be the top, Motihar thana to be the second, Boalia to be the third, Rajpara thana to be the fourth. Shah Mokhdum thana emerged as the most suitable, since it met all of the criteria. In this strategic process, this integrated approach helps decision-makers make more informed decisions by providing a comprehensive analysis of the alternatives. The proposed blood center will benefit the local community by providing safe blood to those in need.

show abstract

Section: Introductionmentioning

confidence: 99%

Mapping Blood Center Locations In Rajshahi By AHP And TOPSIS

Ibna Islam,

Sarkar,

Ahmmed

2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

View full text Add to dashboard Cite

show abstract

“…Foroughi et al (2022) develop a bi-objective resilience relief logistic considering disruption risks for post-earthquake relief. Larimi et al (2022) study the robust-stochastic approach for blood supply network optimisation considering disruptions. Yan et al (2021) study the relief material distribution problem in emergency disasters considering node and path disruption simultaneously.…”

Section: Introductionmentioning

confidence: 99%

“…Foroughi et al (2022) develop a bi-objective resilience relief logistic considering disruption risks for post-earthquake relief. Larimi et al (2022) study the robust-stochastic approach for blood supply network optimisation considering disruptions. Yan et al (2021) Different from previous studies, several stage characteristics of the early post-earthquake emergency rescue are comprehensively considered in our proposed problem.…”

Section: Introductionmentioning

confidence: 99%

Casualty scheduling optimisation with facility disruptions under grey information in early stage of post-earthquake relief

Zhou

Gong²,

Hu³

et al. 2022

View full text Add to dashboard Cite

PurposeThe purpose of this paper is to propose a new casualty scheduling optimisation problem and to effectively treat casualties in the early stage of post-earthquake relief.Design/methodology/approachDifferent from previous studies, some new characteristics of this stage are considered, such as the grey uncertainty information of casualty numbers, the injury deterioration and the facility disruption scenarios. Considering these new characteristics, we propose a novel casualty scheduling optimisation model based on grey chance-constrained programming (GCCP). The model is formulated as a 0–1 mixed-integer nonlinear programming (MINP) model. An improved particle swarm optimisation (PSO) algorithm embedded in a grey simulation technique is proposed to solve the model.FindingsA case study of the Lushan earthquake in China is given to verify the effectiveness of the model and algorithm. The results show that (1) considering the facility disruption in advance can improve the system reliability, (2) the grey simulation technology is more suitable for dealing with the grey uncertain information with a wider fluctuation than the equal-weight whitening method and (3) the authors' proposed PSO is superior to the genetic algorithm and immune algorithm.Research limitations/implicationsThe casualty scheduling problem in the emergency recovery stage of post-earthquake relief could be integrated with our study to further enhance the research value of this paper.Practical implicationsConsidering the facility disruption in advance is beneficial to treat more patients. Considering the facility disruption in the design stage of the emergency logistics network can improve the reliability of the system.Originality/value(1) The authors propose a new casualty scheduling optimisation problem based on GCCP in the early stage of post-earthquake relief. The proposed problem considers many new characteristics in this stage. To the best of the authors' knowledge, the authors are the first to use the GCCP to study the casualty scheduling problem under the grey information. (2) A MINP model is established to formulate the proposed problem. (3) An improved integer-encoded particle swarm optimisation (PSO) algorithm embedded grey simulation technique is designed in this paper.

show abstract