
Supply Chain Analytics, Год журнала: 2024, Номер unknown, С. 100098 - 100098
Опубликована: Дек. 1, 2024
Язык: Английский
Supply Chain Analytics, Год журнала: 2024, Номер unknown, С. 100098 - 100098
Опубликована: Дек. 1, 2024
Язык: Английский
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
34Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 184, С. 103492 - 103492
Опубликована: Март 19, 2024
Язык: Английский
Процитировано
15RAIRO - 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
7Journal of Cleaner Production, Год журнала: 2024, Номер 449, С. 141760 - 141760
Опубликована: Март 18, 2024
Язык: Английский
Процитировано
7Waste 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
15Soft Computing, Год журнала: 2023, Номер 27(22), С. 17063 - 17091
Опубликована: Июль 5, 2023
Язык: Английский
Процитировано
14Computers & Industrial Engineering, Год журнала: 2023, Номер 183, С. 109471 - 109471
Опубликована: Июль 28, 2023
Язык: Английский
Процитировано
14Applied Soft Computing, Год журнала: 2023, Номер 151, С. 111041 - 111041
Опубликована: Ноя. 14, 2023
Язык: Английский
Процитировано
13Journal 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
12International 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
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