Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach

Franco, Carlos; Augusto, Vincent; Garaix, Thierry; Alfonso-Lizarazo, Edgar; Bourdelin, M.; Bontemps, H.

doi:10.1109/coase.2018.8560374

Cited by 4 publications

(1 citation statement)

References 26 publications

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“…This paper proposes a cooperation-inclusion model, where goods are delivered from a depot to a set of customers who can share them with the depot in order to satisfy requirements coming from customers in the network. Some healthcare, food, and humanitarian operations problems use a similar approach [21]- [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Mathematical Model for Centralized Supply Chains with Decisions Involving Shared Resources

Franco

Guzmán-Cortés

García

2020

Ing.

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Context: Cooperation in supply chain management is an important issue considering the global performance of the different echelons of a specific supply chain. In this sense, applying logistic strategies such as VMI (Vendor Managed Inventory) allows a system to manage distribution processes from a central point or depot. Additionally, the components of the chain work more closely with it, which allows increasing global performance, instead of individually developing each sector. Method: A stochastic mathematical model is proposed which considers a network of customers, where products are delivered from a central depot. These customers can share part of their product with the central depot for redistribution, aiming to minimize shortage for other customers. A mathematical model is proposed which includes the elements involved in distribution processes. It is then reformulated to consider shortage and the linearization of some of its elements. Results: Results show that implementing or adapting logistic strategies, such as managing from a central point and sharing resources along the supply chain, allows companies to reduce the complexity of some decisions and improve performance. Conclusions: Implementing logistic strategies such as centralized management and sharing resources along a supply network allows companies to reduce the complexity of some decisions and, in turn, improve their performance.

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Section: Literature Reviewmentioning

confidence: 99%

Mathematical Model for Centralized Supply Chains with Decisions Involving Shared Resources

Franco

Guzmán-Cortés

García

2020

Ing.

Self Cite

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Interactive neutrosophic optimization technique for multiobjective programming problems: an application to pharmaceutical supply chain management

Ahmad

2021

Ann Oper Res

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A Scenario-based optimization model to design a hub network for covid-19 medical equipment management

et al. 2023

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The provision of medical equipment during pandemics is one of the most crucial issues to be dealt with by health managers. This issue has revealed itself in the context of the COVID-19 outbreak in many hospitals and medical centers. Excessive demand for ventilators has led to a shortage of this equipment in several medical centers. Therefore, planning to manage critical hospital equipment and transfer the equipment between different hospitals in the event of a pandemic can be used as a quick fix. In this paper, a multi-objective optimization model is proposed to deal with the problem of hub network design to manage the distribution of hospital equipment in the face of epidemic diseases such as Covid-19. The objective functions of the model include minimizing transfer costs, minimizing the destructive environmental effects of transportation, and minimizing the delivery time of equipment between hospitals. Since it is difficult to estimate the demand, especially in the conditions of disease outbreaks, this parameter is considered a scenario-based one under uncertain conditions. To evaluate the performance of the proposed model, a case study in the eastern region of Iran is investigated and sensitivity analysis is performed on the model outputs. The sensitivity of the model to changing the cost parameters related to building infrastructure between hubs and also vehicle capacity is analyzed too. The results revealed that the proposed model can produce justified and optimal global solutions and, therefore, can solve real-world problems.

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Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach

Cited by 4 publications

References 26 publications

Mathematical Model for Centralized Supply Chains with Decisions Involving Shared Resources

Mathematical Model for Centralized Supply Chains with Decisions Involving Shared Resources

Interactive neutrosophic optimization technique for multiobjective programming problems: an application to pharmaceutical supply chain management

A Scenario-based optimization model to design a hub network for covid-19 medical equipment management

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