Ranking of hospitals: A new approach comparing organizational learning criteria

Babaeinesami, Abdollah; Ghasemi, Peiman

doi:10.1080/20479700.2020.1728923

Cited by 17 publications

(16 citation statements)

References 32 publications

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“…Increasing patient satisfaction along with increasing service quality has always been one of the concerns and demands of managers and decision makers [48][49][50]. Discussing the results can help managers in this regard [51].…”

Section: Discussionmentioning

confidence: 99%

Ranking of hospitals in the case of COVID-19 outbreak: A new integrated approach using patient satisfaction criteria

Shirazi

Kia

Ghasemi

2020

International Journal of Healthcare Management

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Since December 2019, a new virus, called the Corona Virus Disease-2019 (COVID-19), triggers pneumonia outbreak from Wuhan across China, which now poses major health threats to public health. According to the World Health Organization, the death rate of this virus has been 3.4%. Hospitals are the most important element of the health care system during an outbreak like COVID 19. The main goal of hospitals is to provide high quality care to patients and meet their needs and expectations during an outbreak like COVID 19. The hospital must provide high quality services to meet patients' needs. Expectations are therefore one of the most important determinants of patients' or their families' evaluation of service quality, and accurate understanding of customer expectations is the most important step in defining and delivering high quality services. In this study, using the FAHP-PROMETHEE hybrid approach, we will rate hospitals in Sari city of Iran in terms of patient satisfaction during the outbreak of COVID 19. Therefore, first, patient satisfaction factors are identified under normal conditions and then patient satisfaction factors are identified during the outbreak of COVID 19 and hospitals are ranked under normal conditions and during the outbreak of COVID 19 using FAHP-PROMETHEE approach.

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Section: Discussionmentioning

confidence: 99%

Ranking of hospitals in the case of COVID-19 outbreak: A new integrated approach using patient satisfaction criteria

Shirazi

Kia

Ghasemi

2020

International Journal of Healthcare Management

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“…Greater efforts, however, have been made to deal with two main problems: Facility interdiction problem and network interdiction problem. In general, facility interdiction problem has a focus on attacking the most critical facilities, so that this field has drawn more attention after a terrorist attack to the World Trade Center in 2001 [20]. As pioneers, Church et al devised two mathematical formulations for R-Interdiction Median (RIM) and R-Interdiction Covering (RIC) problems [21].…”

Section: Applications and Modeling Approachesmentioning

confidence: 99%

“…The interdictor's target is to maximize its dominance over a network of system services in accordance with available interdiction budget. On the other hand, taking initiatives to fulfill customers' demands, the distributor aims to minimize transportation cost and risk [20]. In AI-LRP, there are two decision makers (distributor and interdictor) with conflicting objective functions.…”

Section: Problem Statementmentioning

confidence: 99%

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Joint Optimization of a Bilevel Logistics Network and an Arc Interdiction Location-routing Problem

Babaeinesami

Tohidi

Seyedaliakbar

2020

IJE

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There is a high interest in optimization of transportation and logistics networks due to its high impact on the economic performance of supply chain networks. This paper presents a bilevel mixed-integer programming model as well as a solution method to manage distribution process in a logistic network, where two decision makers, called distributor and interdictor, make efforts to achieve their contradictory targets. This problem, known as arc interdiction location-routing problem (AI-LRP), is in fact a new, extended version of the classical LRP. The distributor strives to deliver goods to customers with minimal risk and cost, while the interdictor, by contrast, endeavors to disrupt products flow through a few critical arcs. AI-LRP has wide applications in reality, including distribution of particular goods like money, precious metals, hazardous materials, and prisoners that may need security measures. The interplay between two decision makers is formulated as a bilevel model. To solve the model, a novel genetic algorithm (NGA) is devised in which the density ordered heuristic of the knapsack problem is applied to generate an initial population of solutions. Computational results illustrate that NGA outperforms a commercial solver in terms of computational time and quality of solutions.

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“…To maintain their competitive advantage in the future, companies need to pay attention to these rules and move toward sustaining their processes [9]. In recent years, due to increasing use of resources, increasing pollution, the current competitive market, as well as transportation costs, paying attention to the integration of reverse network problems with the forward network has created a special type of supply chain network, called sustainable closed loop supply chain [10].…”

Section: Introductionmentioning

confidence: 99%

Designing a Sustainable Reverse Logistics Network Considering the Conditional Value at Risk and Uncertainty of Demand under Different Quality and Market Scenarios

Sajedi

Sarfaraz

Bamdad

et al. 2020

IJE

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Ranking of hospitals: A new approach comparing organizational learning criteria

Cited by 17 publications

References 32 publications

Ranking of hospitals in the case of COVID-19 outbreak: A new integrated approach using patient satisfaction criteria

Ranking of hospitals in the case of COVID-19 outbreak: A new integrated approach using patient satisfaction criteria

Joint Optimization of a Bilevel Logistics Network and an Arc Interdiction Location-routing Problem

Designing a Sustainable Reverse Logistics Network Considering the Conditional Value at Risk and Uncertainty of Demand under Different Quality and Market Scenarios

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