КФУ. Карточка публикации. ANALYSIS OF INPUT DATA FOR JOBS SHOP SCHEDULING PROBLEM WITH RESPECT TO WORKERS PRODUCTIVITY

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ANALYSIS OF INPUT DATA FOR JOBS SHOP SCHEDULING PROBLEM WITH RESPECT TO WORKERS PRODUCTIVITY

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2016

Язык

английский

Авторы, сотрудники КФУ

Белов Владислав Олегович, автор

Хадиев Камиль Равилевич, автор

Другие авторы

Макарычев Константин , автор

Авторы, студенты КФУ

Белов Владислав Олегович, автор

Библиографическое описание на языке оригинала

Khadiev, K., On analysis of input data for jobs shop scheduling problem with respect to workers productivity// Khadiev, K., Makarychev, K., Belov, V./ International Journal of Pharmacy and Technology, - V. 8 (3), 2016, - p. 15133-15137.

Аннотация

We explore one kind of Job shop scheduling problem, where productivity of workers depends on previous behavior. We consider two parts in ?working day?: working period and time-off period. Worker increase their efficient on working period and time-off period. Playing with schedule give us different productivity for workers. We consider big input data, which size does not allow use brute-force search or back-tracking algorithm. It means we should use a heuristic solutions. We suggest linear-time solution which works for specific input data structure. We analyze the input and describe the conditions which allow to apply our solution. Considered conditions was following: length of periods, number of jobs, number of ?small? and ?big? jobs, speed of productivity increasing and decreasing, number of workers, minimal and maximal productivity and others. We compare our solutions with greedy algorithmic solution, which just assign free worker to first available job, and we have benefit

Ключевые слова

data science, job shop scheduling

Название журнала

International journal of Pharmacy and Technology

URL

http://www.ijptonline.com/wp-content/uploads/2016/10/15133-15137.pdf

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https://repository.kpfu.ru/?p_id=142146

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Белов Владислав Олегович	ru_RU
dc.contributor.author	Хадиев Камиль Равилевич	ru_RU
dc.contributor.author	Макарычев Константин	ru_RU
dc.contributor.author	Белов Владислав Олегович	ru_RU
dc.contributor.author	Белов Владислав Олегович	ru_RU
dc.date.accessioned	2016-01-01T00:00:00Z	ru_RU
dc.date.available	2016-01-01T00:00:00Z	ru_RU
dc.date.issued	2016	ru_RU
dc.identifier.citation	Khadiev, K., On analysis of input data for jobs shop scheduling problem with respect to workers productivity// Khadiev, K., Makarychev, K., Belov, V./ International Journal of Pharmacy and Technology, - V. 8 (3), 2016, - p. 15133-15137.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=142146	ru_RU
dc.description.abstract	International journal of Pharmacy and Technology	ru_RU
dc.description.abstract	We explore one kind of Job shop scheduling problem, where productivity of workers depends on previous behavior. We consider two parts in ?working day?: working period and time-off period. Worker increase their efficient on working period and time-off period. Playing with schedule give us different productivity for workers. We consider big input data, which size does not allow use brute-force search or back-tracking algorithm. It means we should use a heuristic solutions. We suggest linear-time solution which works for specific input data structure. We analyze the input and describe the conditions which allow to apply our solution. Considered conditions was following: length of periods, number of jobs, number of ?small? and ?big? jobs, speed of productivity increasing and decreasing, number of workers, minimal and maximal productivity and others. We compare our solutions with greedy algorithmic solution, which just assign free worker to first available job, and we have benefit	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	data science	ru_RU
dc.subject	job shop scheduling	ru_RU
dc.title	ANALYSIS OF INPUT DATA FOR JOBS SHOP SCHEDULING PROBLEM WITH RESPECT TO WORKERS PRODUCTIVITY	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU