A multiobjective stochastic program for hospital bed planning

Abdelaziz, Fouad Ben; Masmoudi, Meryem

doi:10.1057/jors.2011.39

Cited by 35 publications

(13 citation statements)

References 18 publications

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“…A summary of the literature related to the single-level facility location-allocation models are given in Table 2. Also, Harper et al [28], Abdelaziz and Masmoudi [29] and Mestre et al [30], suggested stochastic models for planning healthcare facilities. Lovejoy and Li [31], Stummer et al [32] have proposed multi objective approaches in the literature.…”

Section: Location-allocation Models On Healthcare Servicesmentioning

confidence: 99%

Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep

Özceylan

Uslu

Erbaş³

et al. 2017

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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It is a known fact that basic health care services cannot reach the majority of the population due to poor geographical accessibility. Unless quantitative locationallocation models and geographic information systems (GIS) are used, the final decision may be made on pragmatic considerations which can result far from optimal. In this paper, current and possible (or potential) new locations of pharmacy warehouses in Gaziantep are investigated to provide optimal distribution of hospitals and pharmacies. To do so, first of all, geographic information of 10 current and 10 potential pharmacy warehouses, 231 pharmacies and 29 hospitals are gathered using GIS. Second, a set covering mathematical model is handled to determine coverage capability of current and potential pharmacy warehouses and minimize the number of warehouses to be opened. Finally, P-center and P-median mathematical models are applied to open potential warehouses and to assign pharmacies & hospitals to the opened warehouses so that the total distance and the demand's longest distance to the source are minimized. Developed integer programming (IP) models and GIS software are compared with on a case study. Computational experiments prove that our approach can find new potential pharmacy warehouses which cover wider areas than current warehouses to service pharmacies and hospitals in the city.

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Section: Location-allocation Models On Healthcare Servicesmentioning

confidence: 99%

Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep

Özceylan

Uslu

Erbaş³

et al. 2017

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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“…The two considered criteria are the minimization of the total distance traveled by patients to hospitals as well as the minimization of the maximum distance traveled by a patient to the assigned hospital. In [1], a multi-objective mathematical model for the allocation of beds to hospitals with uncertain demands has been presented. The model investigates the trade-off between three criteria: the cost of creating new beds, the number of nurses and physicians.…”

Section: Multi-objective Models In Health Care Sectormentioning

confidence: 99%

“…Hence, within an optimal configuration of CBOs, we are able to provide coverage for all demand nodes and at the same time to decrease the competition level between CBOs. By relocating 1 3 of existing CBOs, the system reaches higher utility degrees for both accessibility and equity criteria.…”

Section: Case Amentioning

confidence: 99%

Enhancing community based health programs in Iran: a multi-objective location-allocation model

Khodaparasti

Maleki

Jahedi

et al. 2016

Health Care Manag Sci

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Community Based Organizations (CBOs) are important health system stakeholders with the mission of addressing the social and economic needs of individuals and groups in a defined geographic area, usually no larger than a county. The access and success efforts of CBOs vary, depending on the integration between health care providers and CBOs but also in relation to the community participation level. To achieve widespread results, it is important to carefully design an efficient network which can serve as a bridge between the community and the health care system. This study addresses this challenge through a location-allocation model that deals with the hierarchical nature of the system explicitly. To reflect social welfare concerns of equity, local accessibility, and efficiency, we develop the model in a multi-objective framework, capturing the ambiguity in the decision makers' aspiration levels through a fuzzy goal programming approach. This study reports the findings for the real case of Shiraz city, Fars province, Iran, obtained by a thorough analysis of the results.

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“…To our knowledge, only Abdelaziz and Masmoudi (2012) and Mestre et al (2015) have considered the effect of uncertainty in strategic and tactical health care planning decisions. In fact, when it comes to address uncertainty in health care planning, simulation has been the most commonly used method (see, for instance, Harper et al (2005)).…”

Section: Location Selection and Capacity Planning In The Health Sectormentioning

confidence: 99%

An integrated approach for planning a long-term care network with uncertainty, strategic policy and equity considerations

Cardoso

Oliveira

Barbosa‐Póvoa

et al. 2015

European Journal of Operational Research

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A multiobjective stochastic program for hospital bed planning

Cited by 35 publications

References 18 publications

Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep

Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep

Enhancing community based health programs in Iran: a multi-objective location-allocation model

An integrated approach for planning a long-term care network with uncertainty, strategic policy and equity considerations

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