Опубликована: Авг. 10, 2024
Язык: Английский
Опубликована: Авг. 10, 2024
Язык: Английский
Cleaner Logistics and Supply Chain, Год журнала: 2024, Номер 12, С. 100165 - 100165
Опубликована: Авг. 17, 2024
Язык: Английский
Процитировано
14Waste Management Bulletin, Год журнала: 2025, Номер 3(1), С. 301 - 331
Опубликована: Фев. 2, 2025
Язык: Английский
Процитировано
1Computers & Industrial Engineering, Год журнала: 2025, Номер unknown, С. 110900 - 110900
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Sustainability, Год журнала: 2025, Номер 17(3), С. 1037 - 1037
Опубликована: Янв. 27, 2025
In this paper, we introduce a shipping logistics network optimization method for construction waste recycling. our case, is transported by relay mode integrating land transportation, and transportation. Under the influence of urban economic life, quantity (demand) uncertain stochastic. Considering randomness generation, two-stage stochastic integer programming model design recycling proposed, an accurate algorithm based on Benders decomposition presented. Based actual case in Shanghai, numerical experiments are carried out to evaluate efficacy proposed algorithm. study demonstrate that can help reduce transportation costs waste. Sensitivity analysis highlights factors like penalty untransported capacity constraints play crucial role decisions. The findings provide valuable theoretical support developing more efficient sustainable networks
Язык: Английский
Процитировано
0Technology in Society, Год журнала: 2025, Номер unknown, С. 102845 - 102845
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0316197 - e0316197
Опубликована: Март 11, 2025
The inherent unpredictability within the low-carbon integrated supply chain logistics network complicates its management. This paper endeavours to address challenge of designing a context uncertainty and with consideration policies. It also identify locations facilities appropriate transportation routes between nodes. Robust optimisation fuzzy programming techniques are employed examine various attributes network. In addition, strategic planning model multi-level forward/reverse integration is examined, aims cost minimisation emission reduction. Extensive computational simulations substantiate efficacy proposed robust model. Moreover, analytical results indicate rationality applicability decisions suggested by solution approach. Furthermore, that decision maker can ascertain derived from three cases considered have 50% probability being most favourable outcomes.
Язык: Английский
Процитировано
0Опубликована: Авг. 10, 2024
Язык: Английский
Процитировано
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