A Mathematical Model for a Blood Supply Chain Network with the Robust Fuzzy Possibilistic Programming Approach: A Case Study at Namazi Hospital

Tadarok, Samin; Fakhrzad, Mohammad Bagher; Jokardarabi, Mohammad; Jafari-Nodoushan, Abbasali

doi:10.5829/ije.2021.34.06c.13

Cited by 2 publications

(1 citation statement)

References 27 publications

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“…Health system management in the world involves different subjects such as supply chain management [42,43], data management [44,45,46], risk management [47], routing and scheduling management [48,49] and home healthcare management [50,51,52].…”

Section: Literature Reviewmentioning

confidence: 99%

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Maghzi

Mohammadi

Pasandide

et al. 2022

IJE

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T oday, planning and scheduling problems are the most significant issues in the world and make a great impact on improving organizational productivity and serving systems such as medical and healthcare providers. Since operating room planning is a major problem in healthcare organizations, the optimization of medical staff and equipment plays an essential role. Thus, this study presents a multiobjective mathematical model with a new categorization (preoperative, intraoperative, and postoperative) to minimize operating room scheduling and the risk of using equipment. Time constraints in healthcare systems and medical equipment limited capacity are the most significant considered limitation in the present study. In this regard, since the duration of patient preparation and implementation of treatment processes occur in three states of optimistic, pessimistic, and normal, the introduced parameters are examined relying on a fuzzy uncertainty analysis of the problem. Hence, the model is measured in a real numerical solution sample in a medical center to evaluate and confirm the proposed mathematical model. T hen, two meta-heuristic algorithms (NRGA and NSGAII) are implemented on the mathematical model to analyze the proposed model. Finally, the research results indicate that the NSGA-II is more efficient in the operating room scheduling problem.

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Section: Literature Reviewmentioning

confidence: 99%

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Maghzi

Mohammadi

Pasandide

et al. 2022

IJE

View full text Add to dashboard Cite

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Optimization-based Decision-Making Support for Fuzzy and Probabilistic Order Allocation Planning

Sutrisno

Widowati

Tjahjana

2021

2021 8th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

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A Mathematical Model for a Blood Supply Chain Network with the Robust Fuzzy Possibilistic Programming Approach: A Case Study at Namazi Hospital

Abstract: Blood centers' capacity in period t and the blood group f A binary variable that is 1 if the patient satisfies blood from the blood group f in the period t with the age of i days, otherwise 0.

Cited by 2 publications

References 27 publications

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Optimization-based Decision-Making Support for Fuzzy and Probabilistic Order Allocation Planning

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