Accesso libero

Supply chain network model of cost accounting based on improved particle swarm optimisation algorithm

  
10 apr 2023
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

Zheng Ling, Yang Xingyu. The expansion and innovation of resource flow cost accounting for supply chain [J]Accounting monthly, 2018831 (11): 54-58 (in Chinese) Search in Google Scholar

Lam C Y, Chan S L, Ip W H, et al. Collaborative supply chain network using embedded genetic algorithms[J]. Industrial Management & Data Systems, 2008, 108 (8): 1101-1110. Search in Google Scholar

Wang Ziliang, Yan Jingshi. Review of management accounting research based on supply chain [J]Friends of accounting, 2016 (23): 57-61 (in Chinese) Search in Google Scholar

Hao Yanjun. On the expansion and innovation of resource transfer cost accounting for supply chain [J]National circulation economy, 2019 (17): 165-166 (in Chinese) Search in Google Scholar

Deng Jine. Research on risk prevention and Countermeasures of inter organization open book cost accounting based on supply chain [J]Chinese CPA, 2012 (03): 108-113 (in Chinese) Search in Google Scholar

Jia Xu, Liu Cheng. Under the random demand of distributors [J]Journal of Railway Science and engineering, 2017, 14 (2): 400-407 (in Chinese) Search in Google Scholar

Guan Yu. Application of resource transfer cost accounting in manufacturing enterprises from the perspective of green supply chain [J]Journal of Heihe University, 2021, 12 (06): 71-72 + 78 (in Chinese) Search in Google Scholar

Nadine May, Edeltraud Guenther. Shared benefit by Material Flow Cost Accounting in the food supply chain – The case of berry pomace as upcycled by-product of a black currant juice production[J]. Journal of Cleaner Production, 2020, 245(C). Search in Google Scholar

Wu Xuejing, Zhou Hong, Liang Chunhua. Collaborative optimization of multi echelon supply chain based on CO evolutionary PSO [J]Computer integrated manufacturing system, 2010.1, 16 (1): 127-132 (in Chinese) Search in Google Scholar

Rezaee Jordehi. A review on constraint handling strategies in particle swarm optimization[J]. Neural Computing and Applications, 2015, 26(6). Search in Google Scholar

Han Honggui, Lu Wei, Qiao Junfei. Design and application of a PSO algorithm based on population diversity [J] Information and control, 2017, 46 (6): 677-684 (in Chinese) Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro