
Supply Chain Analytics, Год журнала: 2025, Номер unknown, С. 100123 - 100123
Опубликована: Апрель 1, 2025
Язык: Английский
Supply Chain Analytics, Год журнала: 2025, Номер unknown, С. 100123 - 100123
Опубликована: Апрель 1, 2025
Язык: Английский
Sustainable Production and Consumption, Год журнала: 2022, Номер 30, С. 640 - 656
Опубликована: Янв. 4, 2022
Язык: Английский
Процитировано
63Transportation Research Part E Logistics and Transportation Review, Год журнала: 2022, Номер 163, С. 102749 - 102749
Опубликована: Май 30, 2022
Язык: Английский
Процитировано
48International Journal of Production Economics, Год журнала: 2022, Номер 253, С. 108606 - 108606
Опубликована: Авг. 21, 2022
Язык: Английский
Процитировано
46Marine Pollution Bulletin, Год журнала: 2023, Номер 192, С. 114953 - 114953
Опубликована: Июнь 6, 2023
Язык: Английский
Процитировано
28Production Planning & Control, Год журнала: 2024, Номер unknown, С. 1 - 25
Опубликована: Янв. 15, 2024
Circular economy has the potential to counter sustainability challenges by moving towards a circular flow that enhances efficiency of resource use. Government directives and stakeholders' pressures are forcing organisations redesign their global supply chain network fit circularity aims. To fulfil this need, many models proposed integrate objectives in optimisation. However, designing sustainable within framework is lacking. This barrier for provide product. fill gap, descriptive content analysis used paper scrutinise literature develop conceptual incorporating strategies assist design. The developed useful tool helps better transition from linear economy. Based on results, research opportunities identified suggestions future proposed. findings researchers managers implement practices chain.
Язык: Английский
Процитировано
12Clean Technologies and Environmental Policy, Год журнала: 2024, Номер 26(4), С. 999 - 1023
Опубликована: Янв. 16, 2024
Язык: Английский
Процитировано
10Computers & Industrial Engineering, Год журнала: 2021, Номер 163, С. 107828 - 107828
Опубликована: Дек. 1, 2021
Язык: Английский
Процитировано
52Journal of Environmental Management, Год журнала: 2024, Номер 365, С. 121496 - 121496
Опубликована: Июнь 28, 2024
Designing a sustainable Closed-Loop Supply Chain (CLSC) network is imperative for the apparel industry, given its escalating adverse effects on economic, environmental, and social dimensions. In this study, novel tri-objective location-allocation optimization model specifically developed designing CLSC, incorporating industry's unique facilities. The aim of to simultaneously minimize costs negative environmental impacts while maximizing benefits under demands returns uncertainty. A notable research contribution lies in addressing challenges treating different types returns, including commercial, End Of Use (EOU) Life (EOL) due their uncertain quality quantity. Additionally, optimizes performance levels production facilities, aspect CLSC research. Moreover, flexibility constraints related demand fulfilment considered. To cope with such uncertainties, new hybrid robust possibilistic flexible programming developed, by extending previous methodologies. core innovation solution approach pioneering utilization hexagonal fuzzy numbers epistemic parameters, making significant advancement field CLSC. Comparative analysis similar studies demonstrates superiority proposed model, over method using triangular numbers. Furthermore, AUGMECON lexicographic applied handle multi-objective model. application shown focusing Southwestern Ontario Canada. results reveal that commercial EOU have more detrimental impact sustainability aspects compared EOL returns.
Язык: Английский
Процитировано
8Clean Technologies and Environmental Policy, Год журнала: 2023, Номер 25(9), С. 2903 - 2927
Опубликована: Май 9, 2023
Язык: Английский
Процитировано
15Annals of Operations Research, Год журнала: 2022, Номер 328(1), С. 35 - 73
Опубликована: Сен. 9, 2022
Abstract The recent COVID-19 pandemic revealed that healthcare networks must have a flexible and effective structure. In this study, we develop viable network design for using multi-stage stochastic approach. We propose multi-level includes health centers, computed tomography scan hospitals, clinics. Patients conditions to returning normal life or quarantining at home. Three objectives are defined: maximizing the probability of patient recovery, minimizing costs all centers in network, Coronavirus death rate. investigate real case study Iran demonstrate model’s applicability. Finally, compare supply chain with situation advise how can continue remain viable.
Язык: Английский
Процитировано
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