Computer-aided system to solve uncertainty in project management

Autor:	Chung-Hsing Yeh, Robert J Willis, Hongqi Pan
Předmět:	Estimation Mathematical optimization Job shop scheduling Linear programming Computer science business.industry Fuzzy set Genetic algorithm Resource management Schedule (project management) Project management business Fuzzy logic
Zdroj:	Scopus-Elsevier FUZZ-IEEE
Popis:	In project management, uncertainty often exists in relation to the estimation of activity durations. Fuzzy set theory is an effective way of solving the uncertainty caused by a lack of sufficient precise information. To schedule a project under conditions of limited resources, a genetic algorithm combined with a tabu mechanism is developed in order to search effectively and efficiently for a global-optimal or near-optimal solution. The fuzzy algorithm developed has been integrated into a computer-aided system. An experiment has demonstrated that the system is beneficial for solving such NP-hard problems when the project size increases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed9f0ba3ad28015ee9bd5cd7469c5892 http://www.scopus.com/inward/record.url?eid=2-s2.0-0036346433&partnerID=MN8TOARS Zobrazit plný text záznamu