Autor:	Carlos Franco, Jhoan Sebastian Tenjo García, Juan Carlos Figueroa-Garcia
Rok vydání:	2021
Předmět:	Multidisciplinary
Zdroj:	Heliyon. 8(6)
ISSN:	2405-8440
Popis:	There are several uncertain capacitated vehicle routing problems whose delivery costs and demands cannot be estimated using deterministic/statistical methods due to a lack of available and/or reliable data. To overcome this lack of data, third-party information coming from experts can be used to represent those uncertain costs/demands as fuzzy numbers which combined to an iterative-integer programming method and a global satisfaction degree is able to find a global optimal solution. The proposed method uses two auxiliary variables
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d82185ab18b582ecf22e1929d18bd0e https://pubmed.ncbi.nlm.nih.gov/35800721 Zobrazit plný text záznamu