A resilient poultry vaccine supply chain network design considering perishability and stress test DOI Creative Commons

Mina Mehravaran,

Arash Nemati

Supply Chain Analytics, Год журнала: 2024, Номер unknown, С. 100098 - 100098

Опубликована: Дек. 1, 2024

Язык: Английский

Digital twin-driven robust bi-level optimisation model for COVID-19 medical waste location-transport under circular economy DOI Creative Commons
Cejun Cao, Jiahui Liu, Yang Liu

и другие.

Computers & Industrial Engineering, Год журнала: 2023, Номер 186, С. 109107 - 109107

Опубликована: Фев. 20, 2023

To mitigate the spread of novel coronavirus, how to optimise COVID-19 medical waste location-transport strategies remains an open but urgent issue. In this paper, a digital twin-driven conceptual framework is proposed improve strategic decision on location temporary disposal centres and, subsequently, operational transport in presence hierarchical relationships amongst stakeholders, circular economy, uncertainty infection probability, and service level. The economy aspect measured by reduction risks costs, as well limiting exhaust emissions. polyhedral set introduced characterise stochastic probability. Digital twin technology further used estimate upper lower bound set. Such problem formulated robust bi-level mixed-integer programming model minimise total level costs A hybrid solution strategy designed combine dual theory, Karush-Kuhn-Tucker (KKT) conditions, branch-and-bound approach. Finally, real case study from Maharashtra India presented evaluate model. Results demonstrate that performs for such complex because CPU time required conduct all experiments less than one hour. Under given 36 perturbation ratio 20%, regional preferred generation points transfer points, while cross-regional usually implemented centres. It significance determine available Using (e.g., twin) accurately amount beneficial controlling pandemic. Reducing relative cost prioritised goal cleaning up within relatively long period.

Язык: Английский

Процитировано

34

A multi-objective optimization model for medical waste recycling network design under uncertainties DOI
Liang Shen, Xiang Xu,

Feng Shao

и другие.

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 184, С. 103492 - 103492

Опубликована: Март 19, 2024

Язык: Английский

Процитировано

15

A Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements DOI Creative Commons
Reza Lotfi,

Nooshin Mardani,

Sadia Samar Ali

и другие.

RAIRO - Operations Research, Год журнала: 2024, Номер 58(2), С. 1473 - 1497

Опубликована: Янв. 11, 2024

This research suggests a Robust and Risk-Averse Medical Waste Chain Network Design by considering Viability requirements (RRMWCNDV). The aim is to locate waste management facility that minimizes promotes the recycling of materials like metal plastic, contributing environmental benefits. proposed RRMWCNDV aims be viable, robust risk-averse. A two-stage stochastic programming model was utilized develop this framework. It incorporates risk employing Weighted Value at Risk (WVaR) approach for first time. study reveals incorporating robustness scenarios results in lower cost function. degree conservatism decision-making can adjusted between 0% 100%, increasing confidence level WVaR indicates aversion, with an increase function 4% increase. agility coefficient, which percentage demand production from HC transferred another facility, also affects population risk. decrease sustainability coefficient 53% rise 12.82% demonstrates NP-hard characteristics becomes exponentially complex larger scales.

Язык: Английский

Процитировано

7

Integrated design of a sustainable waste management system with co-modal transportation network: A robust bi-level decision support system DOI
Erfan Babaee Tırkolaee, Vladimir Šimić, Morteza Ghobakhloo

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 449, С. 141760 - 141760

Опубликована: Март 18, 2024

Язык: Английский

Процитировано

7

Trends of solid waste generation during COVID-19 Pandemic: A review DOI Creative Commons
David B. Olawade, Ojima Z. Wada, Odunayo T. Ore

и другие.

Waste Management Bulletin, Год журнала: 2023, Номер 1(4), С. 93 - 103

Опубликована: Окт. 11, 2023

The COVID-19 pandemic disrupted global waste management, highlighting the need for adaptable practices. Health and safety took precedence over environmental concerns, resulting in significant shifts municipal solid management. increased use of personal protective equipment (PPE) like masks gloves led to a surge plastic fiber waste. Changes consumer behavior, such as online shopping food delivery, also contributed higher household Improper management posed secondary transmission risks. Healthcare waste, generated hospitals quarantine centers, correlated with rising infections. Inadequate practices, including traditional open incineration, exposed communities toxins. This review examines trends households across various regions during pandemic. It discusses collectors' challenges strategies achieving zero Findings from this study showed that pandemic's impact on generation varied regions, influenced by economic factors. Low-income countries less per capita than high-income countries. While some experienced reduction due reduced industrial activities pandemic, many countries, driven changes behavior widespread adoption PPE. used surgical emerged challenge, billions discarded monthly, contributing pollution. disposal PPE developing nations health hazards, clogging landfills, littering environment. Addressing issue is crucial maintaining sustainability. In conclusion, brought unique necessitating adaptability innovative solutions. Proper practices are essential safeguarding public health, preventing pollution, ensuring sustainable future.

Язык: Английский

Процитировано

15

Unrelated parallel batch processing machine scheduling for production systems under carbon reduction policies: NSGA-II and MOGWO metaheuristics DOI
Ali Fallahi,

B. Shahidi-Zadeh,

Seyed Taghi Akhavan Niaki

и другие.

Soft Computing, Год журнала: 2023, Номер 27(22), С. 17063 - 17091

Опубликована: Июль 5, 2023

Язык: Английский

Процитировано

14

Design of urban medical waste recycling network considering loading reliability under uncertain conditions DOI
Xiang Xu, Feiran Wang, Yuyue Chen

и другие.

Computers & Industrial Engineering, Год журнала: 2023, Номер 183, С. 109471 - 109471

Опубликована: Июль 28, 2023

Язык: Английский

Процитировано

14

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

Ehsan Torshizi,

Ali Bozorgi-Amiri, Fatemeh Sabouhi

и другие.

Applied Soft Computing, Год журнала: 2023, Номер 151, С. 111041 - 111041

Опубликована: Ноя. 14, 2023

Язык: Английский

Процитировано

13

A Bi-objective two-stage stochastic optimization model for sustainable reverse supply chain network design under carbon tax policy and government subsidy considering product quality DOI

Mohammadreza Eslamipirharati,

Fariborz Jolai, Amir Aghsami

и другие.

Journal of Industrial and Production Engineering, Год журнала: 2023, Номер 40(6), С. 411 - 431

Опубликована: Май 25, 2023

There is a growing concern over environmental pollution resulting from the production. Moreover, expansion of various industries has led to an increased demand for raw materials. To address these challenges, this paper aims investigate bi-objective optimization sustainable reverse supply chain network while considering two key sources uncertainty in returned product quality and remanufacturing capacity. Additionally, study considers effects carbon tax policies government subsidies on remanufactured products, also focusing three important sustainability aspects - economic, social, environmental. The uses thresholds at inspection centers sort epsilon constraint NSGA-II are applied solve model. Through numerical analysis, research demonstrates that objective functions sensitive uncertain parameters minimum acceptable levels. Furthermore, reveals can offset negative policies.

Язык: Английский

Процитировано

12

A Multi-product Humanitarian Supply Chain Network Design Problem: A Fuzzy Multi-objective and Robust Optimization Approach DOI Open Access
Ali Fallahi,

A. Pourghazi,

Hadi Mokhtari

и другие.

International journal of engineering. Transactions B: Applications, Год журнала: 2024, Номер 37(5), С. 941 - 958

Опубликована: Янв. 1, 2024

In today's dynamic and unpredictable world, the planning management of humanitarian supply chains hold paramount importance. Efficient logistics is crucial for effectively delivering essential aid resources to affected areas during disasters emergencies, ensuring timely support relief vulnerable populations. this research, we addressed a novel chain network design problem that considers product differentiation demand uncertainty. Specifically, simultaneously incorporate non-perishable, perishable, blood products as critical components network. The formulated multi-objective mixed-integer linear programming model aiming minimize total cost traveled distance by making location, allocation, production decisions. To enhance realism, account uncertainty in areas. tackle challenging problem, proposed two-phase solution methodology. Firstly, employed robust optimization approach establish deterministic counterpart stochastic model. Subsequently, an efficient fuzzy programming-based reformulates into single-objective form, accommodating decision-makers' preferences. Numerical instances are solved investigate performance methodologies. results demonstrate effectiveness our finding non-dominated solutions, enabling decision-makers explore trade-offs. Also, sensitivity analyses were conducted provide more insights. Finally, some suggestions presented extend current work feature researchers.

Язык: Английский

Процитировано

5