Improving Quality of Seaport’s Work Schedule: Using Aggregated Indices Randomization Method

Autor:	Vasileva Olga, Azarov Artur, Kiyaev Vladimir
Rok vydání:	2020
Předmět:	Service (systems architecture) Schedule Data collection Operations research Computer science media_common.quotation_subject Work schedule Quality (business) Scheduling (computing) media_common
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783030500962
DOI:	10.1007/978-3-030-50097-9_52
Popis:	Genetic algorithms can be used in combination with multi-agent monitoring and data collection technologies for compiling and adjusting the dynamically changing work schedule of an economic entity with complex internal infrastructure. In this case, the important issue is the quality of the drawn-up schedule and its monitoring. The article reviews the possibility of applying the method of randomized summary indicators for assessing the quality of the compiled and dynamically adjusted service schedules for ships in the seaport.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d9e80baa027990f7db7f45d1388741ba https://doi.org/10.1007/978-3-030-50097-9_52 Zobrazit plný text záznamu