Keyword search (4,163 papers available)

"Programming" Keyword-tagged Publications:

Title Authors PubMed ID
1 Examining the Acceptability and Effectiveness of a Self-Directed, Web-Based Resource for Stress and Coping in University: Randomized Controlled Trial Böke BN; Mettler J; Bastien L; Cho S; Heath N; 41576346
PSYCHOLOGY
2 Optimizing Mixtures of Metal-Organic Frameworks for Robust and Bespoke Passive Atmospheric Water Harvesting Harriman C; Ke Q; Vlugt TJH; Howarth AJ; Simon CM; 41427123
CHEMBIOCHEM
3 A Deep Learning-Based Ensemble System for Brent and WTI Crude Oil Price Analysis and Prediction Zhang Y; Lahmiri S; 41294965
JMSB
4 A game theoretic approach to contract-based enviro-economic coordination of wood pellet supply chains for bioenergy production Vazifeh Z; Mafakheri F; An C; Bensebaa F; 38037615
ENCS
5 Designing a multi-objective closed-loop supply chain: a two-stage stochastic programming, method applied to the garment industry in Montréal, Canada Shafiee Roudbari E; Fatemi Ghomi SMT; Eicker U; 36747987
ENCS
6 Disrupted Lessons in Engineering Robotics: Pivoting Knowledge Transfer From Physical to Virtual Learning Environments Chichekian T; Trudeau J; Jawhar T; 35702710
PHYSICS
7 Immunoinflammatory processes: Overlapping mechanisms between obesity and eating disorders? Breton E; Fotso Soh J; Booij L; 35594735
PSYCHOLOGY
8 A flexible robust model for blood supply chain network design problem Khalilpourazari S; Hashemi Doulabi H; 35474752
ENCS
9 War and reintegration for girls and young women in northern Uganda: A scoping review Savard M; Michaelsen S; 34479000
EDUCATION

 

Title:A flexible robust model for blood supply chain network design problem
Authors:Khalilpourazari SHashemi Doulabi H
Link:pubmed.ncbi.nlm.nih.gov/35474752/
DOI:10.1007/s10479-022-04673-9
Publication:Annals of operations research
Keywords:Blood supply chainChance constraintFlexible programmingFlexible robust optimization
PMID:35474752 Category: Date Added:2022-04-27
Dept Affiliation: ENCS
1 Department of Mechanical, Industrial & Aerospace Engineering, Concordia University, Montreal, Canada.
2 Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), Montreal, Canada.

Description:

World Health Organization (WHO) declared COVID-19 as a pandemic On March 12, 2020. Up to January 13, 2022, 320,944,953 cases of infection and 5,539,160 deaths have been reported worldwide. COVID-19 has negatively impacted the blood supply chain by drastically reducing blood donation. Therefore, developing models to design effective blood supply chains in emergencies is essential. This research offers a novel multi-objective Transportation-Location-Inventory-Routing (TLIR) formulation for an emergency blood supply chain network design problem. We answer questions regarding strategic, operational, and tactical decisions considering disruption in the network and blood shelf-life. Since, in real-world applications, the parameters of the proposed mathematical formulation are uncertain, two flexible uncertain models are proposed to provide risk-averse and robust solutions for the problem. We applied the proposed formulations in a case study. Under various scenarios and realizations, we show that the offered robust model handles uncertainties more efficiently and finds solutions that have significantly lower costs and delivery time. To make a reliable conclusion, we performed extensive worst-case analyses to demonstrate the robustness of the results. In the end, we provide critical managerial insights to enhance the effectiveness of the supply chain.

<strong>Supplementary information:</strong> The online version contains supplementary material available at 10.1007/s10479-022-04673-9.




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