Оригинал (Original)
Автори: Попов, Г. И., Ангелов, К. П., Попова, А. П., Meglena Anguelova.
Заглавие: Mathematical approach for determining the optimal size of a logistic unit in case of high transport risk
Ключови думи: asset, analytical model, optimization

Абстракт: There are various freights that are transported at increased risk under certain conditions. An example of such logistics is military supplies passing by air, water or land through the territory of the enemy. One approach to increasing the ability to reach delivery to its final destination is the dividing and transporting them into separate parts. Thus allows, in case when one part of the delivery is destroyed to be repeated only the destroyed one in order to obtain the full volume of the initial delivery for the intended purpose. The task, however, could be considered as ambivalent character: the bigger number of consignments to which delivery is divided increases security, but on the other hand increases costs significantly. The current article presents a mathematical approach that determines the effective level of division of delivery into separate transport units in regards of reaching the final intended destination. It has been proven that for a certain risk and size of delivery t

Библиография

  1. Popov G, Anguelov A., Popova A., Anguelova M., 1950, Mathematical approach for determining the optimal size of a logistic unit in case of high transport risk, e-book, AIP Conference, AIP Conference Proceedings, <https://aip.scitation.org/doi/abs/10.1063/1.5133621>, Дата на последен преглед (Last accessed on): 26.11.2020

Издание

AIP Conference Proceedings, том 2172, брой 1100, стр. стр. 8, 2019, България, Sozopol, American Institute of Physics, https://doi.org/10.1063/1.5133621

Издателските права се държат от AIP Conference Proceedings

Autors: Popov, G. I., Anguelov, K. P., Popova, A. P., Meglena Anguelova.
Title: Mathematical approach for determining the optimal size of a logistic unit in case of high transport risk
Keywords: asset, analytical model, optimization

Abstract: There are various freights that are transported at increased risk under certain conditions. An example of such logistics is military supplies passing by air, water or land through the territory of the enemy. One approach to increasing the ability to reach delivery to its final destination is the dividing and transporting them into separate parts. Thus allows, in case when one part of the delivery is destroyed to be repeated only the destroyed one in order to obtain the full volume of the initial delivery for the intended purpose. The task, however, could be considered as ambivalent character: the bigger number of consignments to which delivery is divided increases security, but on the other hand increases costs significantly. The current article presents a mathematical approach that determines the effective level of division of delivery into separate transport units in regards of reaching the final intended destination. It has been proven that for a certain risk and size of delivery t

References

  1. Popov G, Anguelov A., Popova A., Anguelova M., 1950, Mathematical approach for determining the optimal size of a logistic unit in case of high transport risk, e-book, AIP Conference, AIP Conference Proceedings, <https://aip.scitation.org/doi/abs/10.1063/1.5133621>, Дата на последен преглед (Last accessed on): 26.11.2020

Issue

AIP Conference Proceedings, vol. 2172, issue 1100, pp. 8, 2019, Bulgaria, Sozopol, American Institute of Physics, https://doi.org/10.1063/1.5133621

Copyright AIP Conference Proceedings

Цитирания (Citation/s):
1. Chytilova, E., Demirova, S., Jurova, M., Key Performance Indicators the providers of logistic services: experience of selected companies, 2019 International Conference on High Technology for Sustainable Development, HiTech 2019 - 2019 - в издания, индексирани в Scopus или Web of Science
2. Herbon, A., David, I. Optimal manufacturer's cost sharing ratio, shipping policy and production rate – A two-echelon supply chain, 2023 Operations Research Perspectives 10,100264 - 2022 - в издания, индексирани в Scopus или Web of Science
3. Herbon, A., & David, I. (2023). Optimal manufacturer's cost sharing ratio, shipping policy and production rate–A two-echelon supply chain. Operations Research Perspectives, 10, 100264. - 2023 - в издания, индексирани в Scopus или Web of Science

Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus