Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty

Nosrati-Abarghooee, Saeede; Sheikhalishahi, Mohammad; Nasiri, Mohammad Mahdi; Gholami-Zanjani, Seyed Mohammad

doi:10.1016/j.asoc.2023.110372

Cited by 25 publications

(2 citation statements)

References 43 publications

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“…These models were applied to evaluate the operational, financial, and integrated performances of 3PL service providers, providing deterministic performance measures. Nosrati-Abarghooee et al [30] proposed a multiobjective model for a healthcare system to manage waste. They also applied the Monte Carlo simulation technique to analyze the results.…”

Section: Deterministic Decision-making Modelsmentioning

confidence: 99%

Third-Party Reverse Logistics Selection: A Literature Review

Anon,

Amin,

Baki

2024

Logistics

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Background: This literature review delves into the concept of ‘Third-party Reverse Logistics selection’, focusing on its process and functionality using deterministic and uncertain decision-making models. In an increasingly globalized world, Reverse Logistics (RL) plays a vital role in optimizing supply chain management, reducing waste, and achieving sustainability objectives. Deterministic decision-making models employ predefined criteria and variables, utilizing mathematical algorithms to assess factors such as cost, reliability, and capacity across various geographical regions. Uncertain decision-making models, on the other hand, incorporate the unpredictability of real-world scenarios by considering the uncertainties and consequences of decision making and choices based on incomplete information, ambiguity, unreliability, and the option for multiple probable outcomes. Methods: Through an examination of 41 peer-reviewed journal publications between the years 2020 and 2023, this review paper explores these concepts and problem domains within three categories: Literature Reviews (LR), Deterministic Decision-Making (DDM) models, and Uncertain Decision-Making (UDM) models. Results: In this paper, observations and future research directions are discussed. Conclusions: This paper provides a comprehensive review of third-party reverse logistics selection papers.

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Section: Deterministic Decision-making Modelsmentioning

confidence: 99%

Third-Party Reverse Logistics Selection: A Literature Review

Anon,

Amin,

Baki

2024

Logistics

View full text Add to dashboard Cite

show abstract

“… 107 Nosrati-Abarghooee et al employed the concepts of pandemic disruption, capacity level, complete coverage, treatment technology, and demographic risk to develop a reverse logistics network for managing medical waste amidst uncertainty and pandemic interference. 108 Tushar et al proposed an effective and secure system for medical waste management by integrating the best-worst approach, explanatory structural modeling, and cross-influence matrix multiplication applied to classification. 109 Calis Boyaci and Sisman employed a geographic information systems-based Pythagorean fuzzy decision analysis to determine optimal locations for the disposal of face masks and gloves waste boxes during the COVID-19 pandemic in Samsun city, Turkey.…”

Section: Research On Risk Assessment Of Medical Waste Disposal For In...mentioning

confidence: 99%