A multi-objective robust optimization model with defective vaccine and reverse supply chain under uncertainty DOI
Abderrahmen Bouchenine, Ismail I. Almaraj

Journal of Modelling in Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Purpose This study introduces a multi-vaccine multi-echelon supply chain (MVMS) framework designed to ensure sustainable vaccine distribution during outbreaks. The aims minimize the total costs of and reduce greenhouse gas (GHG) emissions mitigate environmental impacts while maximizing job opportunities within network. Design/methodology/approach Our proposed appraoch employs multi-objective mixed-integer linear programming model. Findings findings indicate that incorporating uncertainties related demand inspection errors significantly facilitates timely responses unexpected shortages, fulfills requirements healthcare facilities, enhances chain’s resilience against future uncertainties. also explores managerial implications suggests avenues for research further advance this field. Originality/value Existing literature on MVMS often relies simplifying assumptions perfect vaccines primarily focuses uncertainty. However, real-world chains are typically marked by imperfections, disruptions, variety beyond demand. In work, we address several sources parameter uncertainty, including variability, errors, waste, defective treatments rates enhance robustness our

Language: Английский

Multimodal Vaccine Distribution Network Design with Drones DOI
Shakiba Enayati, Haitao Li, James F. Campbell

et al.

Transportation Science, Journal Year: 2023, Volume and Issue: 57(4), P. 1069 - 1095

Published: April 25, 2023

Childhood vaccines play a vital role in social welfare, but hard-to-reach regions, poor transportation, and weak cold chain limit vaccine availability. This opens the door for use of delivery by drones (uncrewed aerial vehicles, or UAVs) with their fast transportation reliance on little no infrastructure. In this paper, we study problem strategic multimodal distribution, which simultaneously determines locations local distribution centers, drone bases, relay stations, while obeying time range. Two mathematical optimization models complementary strengths are developed. The first model considers travel at aggregate level compact formulation, it can be too conservative meeting limit. second is based layered network framework to track flow associated each origin-destination (OD) pair. It allows number transshipments stops path limited, reflects practical operations computationally advantageous. Both applied design two types Vanuatu as case study. Solutions using our parameter settings shown generate large savings, differentiated roles small drones. To generalize empirical findings examine performance models, conduct comprehensive computational experiments assess sensitivity optimal solutions metrics key parameters. History: paper has been accepted Transportation Science Special Issue Emerging Topics Logistics. Funding: work was supported Association Supply Chain Management (ASCM) University Missouri Research Board (UMSL Award 0059109). Supplemental Material: online supplement available https://doi.org/10.1287/trsc.2023.1205 .

Language: Английский

Citations

17
Multi-objective predictive maintenance scheduling models integrating remaining useful life prediction and maintenance decisions DOI
Lubing Wang, Butong Li, Xufeng Zhao

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110581 - 110581

Published: Sept. 1, 2024

Language: Английский

Citations

8
A multi-period vaccines supply chain network design with capacity expansion and different replenishment cycles under uncertain demand DOI
Paulina Kus Ariningsih, Chandra Ade Irawan, Antony Paulraj

et al.

Computers & Operations Research, Journal Year: 2024, Volume and Issue: 167, P. 106660 - 106660

Published: April 9, 2024

Language: Английский

Citations

6
A resilient, robust transformation of healthcare systems to cope with COVID-19 through alternative resources DOI Open Access

Elham Shaker Ardakani,

Niloofar Gilani Larimi,

Maryam Oveysi Nejad

et al.

Omega, Journal Year: 2022, Volume and Issue: 114, P. 102750 - 102750

Published: Sept. 5, 2022

Language: Английский

Citations

23
Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints DOI Open Access
Irem Sengul Orgut, Nickolas Freeman, Dwight Lewis

et al.

Omega, Journal Year: 2023, Volume and Issue: 120, P. 102898 - 102898

Published: May 20, 2023

Language: Английский

Citations

14
Resilient and sustainable global COVID-19 vaccine supply chain design considering reverse logistics DOI

Ehsan Torshizi,

Ali Bozorgi-Amiri, Fatemeh Sabouhi

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 151, P. 111041 - 111041

Published: Nov. 14, 2023

Language: Английский

Citations

13
Enhancing COVID-19 vaccination and medication distribution routing strategies in rural regions of Morocco: A comparative metaheuristics analysis DOI Creative Commons
Toufik Mzili,

Ilyass Mzili,

Mohammed Essaid Riffi

et al.

Informatics in Medicine Unlocked, Journal Year: 2024, Volume and Issue: 46, P. 101467 - 101467

Published: Jan. 1, 2024

The optimization of the vaccination campaign and medication distribution in rural regions Morocco conducted by Ministry Health can be significantly improved employing metaheuristic algorithms conjunction with a tour planning system. This research proposes utilization six algorithms: genetic algorithm, rat swarm optimization, whale spotted hyena optimizer, penguins search particle to determine most efficient routes for equipped trucks carrying vaccines medications. These consider critical field constraints, such as operating hours centers, vaccine availability, distances between centers while minimizing overall journey duration. In addition, comprehensive system is integrated into framework accounting transportation costs fuel expenses truck maintenance costs. By incorporating these factors, aims achieve maximum efficiency financial burden associated areas. integration metaheuristics presents robust data-driven solution enhance effectiveness their campaigns Morocco. approach not only minimizes but also improves ensuring timely access medications population. findings this contribute growing body knowledge healthcare logistics provide valuable insights policymakers practitioners involved similar worldwide.

Language: Английский

Citations

5
Integrated optimisation of strategic planning and service operations for urban air mobility systems DOI
Zhongyi Jin, Kam K.H. Ng, Chenliang Zhang

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 183, P. 104059 - 104059

Published: March 27, 2024

Language: Английский

Citations

5
Optimization modeling for pandemic vaccine supply chain management: A review and future research opportunities DOI Creative Commons

S S Dey,

Ali Kaan Kurbanzade,

Esma S. Gel

et al.

Naval Research Logistics (NRL), Journal Year: 2024, Volume and Issue: 71(7), P. 976 - 1016

Published: April 18, 2024

During various stages of the COVID-19 pandemic, countries implemented diverse vaccine management approaches, influenced by variations in infrastructure and socio-economic conditions. This article provides a comprehensive overview optimization models developed research community throughout era, aimed at enhancing distribution establishing standardized framework for future pandemic preparedness. These address critical issues such as site selection, inventory management, allocation strategies, logistics, route encountered during crisis. A unified is employed to describe models, emphasizing their integration with epidemiological facilitate holistic understanding. also summarizes evolving nature literature, relevant gaps, authors' perspectives model selection. Finally, scopes are detailed both context modeling solutions approaches.

Language: Английский

Citations

5
Bi-Objective Integrated Scheduling of Quay Cranes and Automated Guided Vehicles DOI Creative Commons

Yating Duan,

Hongxiang Ren,

Fuquan Xu

et al.

Journal of Marine Science and Engineering, Journal Year: 2023, Volume and Issue: 11(8), P. 1492 - 1492

Published: July 26, 2023

Operational efficiency is one of the key performance indicators a port’s service level. In process making scheduling plans for container terminals, different types equipment are usually scheduled separately. The interaction between quay cranes (QCs) and automated guided vehicles (AGVs) neglected, which results in low operational efficiency. This research explores integrated problem QCs AGVs. Firstly, multi-objective mixed integer programming model (MOMIP) conducted, with aim minimizing makespan vessels unladen time Then, embedded new heuristic method, non-dominated sorting genetic algorithm-II (NSGA-II) designed problem. method includes two parts: bay-based QC allocation strategy container-based QC-AGV strategy. Finally, order to test proposed algorithm, differently sized benchmark tests performed, compared particle swarm optimization algorithm (MOPSO) weighted-sum method. computational indicate that can effectively solve For large-scale problems, NSGA-II has better more obvious advantages others. capability providing theoretical reference AGV terminals.

Language: Английский

Citations

12