Operations Management and Management Science

Operations Management and Management Science introduces the main concepts in this discipline. It also considers case studies from several industries, and the established and novel algorithms applied to solve them. Future applications and trends are discussed and future work to improve the solutions...

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Լեզու:անգլերեն
Հրապարակվել է: IntechOpen 2024
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Առցանց հասանելիություն:ONIX_20240307_9781803559810_2
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collection Directory of Open Access Books
description Operations Management and Management Science introduces the main concepts in this discipline. It also considers case studies from several industries, and the established and novel algorithms applied to solve them. Future applications and trends are discussed and future work to improve the solutions presented is suggested. Operations management may be defined as the efficient transformation of inputs to outputs according to the needs of customers and considering the limitations present in the process. It involves process optimization from design to future requirements, the management of materials and products, production, and other aspects such as maintenance and quality control. In this case, the products can be regarded as goods or services, while the inputs are human resources, financial support, information, material, energy, etc.
format Online
id doab-20.500.12854ir-135090
institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher IntechOpen
publisherStr IntechOpen
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spelling doab-20.500.12854ir-1350902024-03-30T12:50:24Z Operations Management and Management Science Pedro García Márquez, Fausto Strategy Planning Resources Organization Probability Statistical Artificial Intelligence Algorithms Mathematics Methods Financial Cost Efficiency thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies Operations Management and Management Science introduces the main concepts in this discipline. It also considers case studies from several industries, and the established and novel algorithms applied to solve them. Future applications and trends are discussed and future work to improve the solutions presented is suggested. Operations management may be defined as the efficient transformation of inputs to outputs according to the needs of customers and considering the limitations present in the process. It involves process optimization from design to future requirements, the management of materials and products, production, and other aspects such as maintenance and quality control. In this case, the products can be regarded as goods or services, while the inputs are human resources, financial support, information, material, energy, etc. 2024-03-07T16:28:58Z 2024-03-07T16:28:58Z 2023 book ONIX_20240307_9781803559810_2 9781803559810 9781803559834 9781803559827 https://directory.doabooks.org/handle/20.500.12854/135090 eng image/jpeg n/a https://www.intechopen.com/books/11082 https://intech-files.s3.amazonaws.com/a043Y00000maJlCQAU/0012890_Authors_Book%20%282023-04-27%2008%3A29%3A08%29.pdf IntechOpen IntechOpen 10.5772/intechopen.96833 10.5772/intechopen.96833 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781803559810 9781803559834 9781803559827 IntechOpen 222 open access
spellingShingle Strategy
Planning
Resources
Organization
Probability
Statistical
Artificial Intelligence
Algorithms
Mathematics Methods
Financial
Cost
Efficiency
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
Operations Management and Management Science
title Operations Management and Management Science
title_full Operations Management and Management Science
title_fullStr Operations Management and Management Science
title_full_unstemmed Operations Management and Management Science
title_short Operations Management and Management Science
title_sort operations management and management science
topic Strategy
Planning
Resources
Organization
Probability
Statistical
Artificial Intelligence
Algorithms
Mathematics Methods
Financial
Cost
Efficiency
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
topic_facet Strategy
Planning
Resources
Organization
Probability
Statistical
Artificial Intelligence
Algorithms
Mathematics Methods
Financial
Cost
Efficiency
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies
url ONIX_20240307_9781803559810_2