Suchergebnisse
Filter
5 Ergebnisse
Sortierung:
Robust Penalized Dantzig Selector: Error Analysis, Oracle Inequalities, and Algorithmic Efficiency
In: ACHA-D-24-00200
SSRN
Gender Imbalance and Trends in Tertiary Education: A Case Study in Capacity Building in Maritime Industry
In: https://professorlalithedirisinghe.lk/research/
SSRN
Working paper
Inventory optimization of fresh agricultural products supply chain based on agricultural superdocking
In: Shen , L , Li , F , Li , C , Wang , Y , Qian , X , Feng , T & Wang , C 2020 , ' Inventory optimization of fresh agricultural products supply chain based on agricultural superdocking ' , Journal of Advanced Transportation , vol. 2020 , 2724164 . https://doi.org/10.1155/2020/2724164
The "agricultural superdocking" mode which has been strong supported by the government has become the main way for fresh agricultural products to enter the market in China. Based on the analysis of fresh agricultural products supply chain inventory management under the "agricultural superdocking" mode, this paper constructs an integrated inventory model for fresh agricultural products of "farmers' professional cooperatives + distribution centers + supermarkets." Considering multiple members at each echelon of a supply chain, a model that maximizes the overall profit of the supply chain is proposed. The model assumes that the market demand of fresh agricultural products is affected by freshness and sales prices, and the distribution center is responsible for not only storage, processing, and distribution but also coordinating the production and supply information of farmers' professional cooperatives and the order sales information of supermarkets. An improved genetic algorithm is developed to solve the nonlinear optimization problem. Results of a case study show that the optimal supply and replenishment strategy under the given supply chain distribution process are obtained.
BASE
Genetic determinants involved in the biodegradation of naphthalene and phenanthrene in Pseudomonas aeruginosa PAO1
In: Environmental science and pollution research: ESPR, Band 22, Heft 9, S. 6743-6755
ISSN: 1614-7499