These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 35125922)

  • 1. The supply chain of blood products in the wake of the COVID-19 pandemic: Appointment scheduling and other restrictions.
    Kenan N; Diabat A
    Transp Res E Logist Transp Rev; 2022 Mar; 159():102576. PubMed ID: 35125922
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A multi-product multi-period stochastic model for a blood supply chain considering blood substitution and demand uncertainty.
    Xu Y; Szmerekovsky J
    Health Care Manag Sci; 2022 Sep; 25(3):441-459. PubMed ID: 35511373
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stochastic Inventory Model for Minimizing Blood Shortage and Outdating in a Blood Supply Chain under Supply and Demand Uncertainty.
    Shih H; Rajendran S
    J Healthc Eng; 2020; 2020():8881751. PubMed ID: 32952991
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study.
    Tirkolaee EB; Golpîra H; Javanmardan A; Maihami R
    Socioecon Plann Sci; 2023 Feb; 85():101439. PubMed ID: 36164508
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Lot-Size Models with Uncertain Demand Considering Its Skewness/Kurtosis and Stochastic Programming Applied to Hospital Pharmacy with Sensor-Related COVID-19 Data.
    Rojas F; Leiva V; Huerta M; Martin-Barreiro C
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372434
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sustainable closed-loop supply chain network under uncertainty: a response to the COVID-19 pandemic.
    Rafigh P; Akbari AA; Bidhandi HM; Kashan AH
    Environ Sci Pollut Res Int; 2021 Sep; ():1-17. PubMed ID: 34519990
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Blood plasma supply chain planning to respond COVID-19 pandemic: a case study.
    Fallahi A; Mousavian Anaraki SA; Mokhtari H; Niaki STA
    Environ Dev Sustain; 2022 Dec; ():1-52. PubMed ID: 36530360
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A stochastic bi-objective simulation-optimization model for plasma supply chain in case of COVID-19 outbreak.
    Shirazi H; Kia R; Ghasemi P
    Appl Soft Comput; 2021 Nov; 112():107725. PubMed ID: 34335121
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic.
    Valizadeh J; Boloukifar S; Soltani S; Jabalbarezi Hookerd E; Fouladi F; Andreevna Rushchtc A; Du B; Shen J
    Expert Syst Appl; 2023 Mar; 214():119009. PubMed ID: 36312907
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A mathematical model for managing the multi-dimensional impacts of the COVID-19 pandemic in supply chain of a high-demand item.
    Paul SK; Chowdhury P; Chakrabortty RK; Ivanov D; Sallam K
    Ann Oper Res; 2022 Apr; ():1-46. PubMed ID: 35431384
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust design of a green-responsive closed-loop supply chain network for the ventilator device.
    Asadi Z; Khatir MV; Rahimi M
    Environ Sci Pollut Res Int; 2022 Jul; 29(35):53598-53618. PubMed ID: 35288851
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Blood supply management in times of SARS-CoV-2 pandemic - challenges, strategies adopted, and the lessons learned from the experience of a hospital-based blood centre.
    Pandey HC; Coshic P; C S C; Arcot PJ; Kumar K
    Vox Sang; 2021 May; 116(5):497-503. PubMed ID: 33103772
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A production planning model considering uncertain demand using two-stage stochastic programming in a fresh vegetable supply chain context.
    Mateo J; Pla LM; Solsona F; Pagès A
    Springerplus; 2016; 5(1):839. PubMed ID: 27386288
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dual-Channel Global Closed-Loop Supply Chain Network Optimization Based on Random Demand and Recovery Rate.
    Liu A; Zhang Y; Luo S; Miao J
    Int J Environ Res Public Health; 2020 Nov; 17(23):. PubMed ID: 33255812
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivals.
    Yalçındağ S; Güre SB; Carello G; Lanzarone E
    Health Care Manag Sci; 2020 Dec; 23(4):535-555. PubMed ID: 32613350
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Designing a sustainable closed-loop pharmaceutical supply chain in a competitive market considering demand uncertainty, manufacturer's brand and waste management.
    Sazvar Z; Zokaee M; Tavakkoli-Moghaddam R; Salari SA; Nayeri S
    Ann Oper Res; 2022; 315(2):2057-2088. PubMed ID: 33583989
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Convalescent plasma bank facility location-allocation problem for COVID-19.
    Manupati VK; Schoenherr T; Wagner SM; Soni B; Panigrahi S; Ramkumar M
    Transp Res E Logist Transp Rev; 2021 Dec; 156():102517. PubMed ID: 34725541
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Stochastic Nash Equilibrium Problem for Medical Supply Competition.
    Fargetta G; Maugeri A; Scrimali L
    J Optim Theory Appl; 2022; 193(1-3):354-380. PubMed ID: 35431329
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using automation to manage donor engagement and fine-tune supply and demand during the first year of the COVID-19 pandemic.
    Pina T; Lewis M; Garrison C; Razatos A
    Transfus Apher Sci; 2022 Aug; 61(4):103420. PubMed ID: 35277354
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bi-level Mixed-Integer Data-Driven Optimization of Integrated Planning and Scheduling Problems.
    Beykal B; Avraamidou S; Pistikopoulos EN
    ESCAPE; 2021; 50():1707-1713. PubMed ID: 34414400
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.