Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mukund Subramaniyan"'
Publikováno v:
Production and Manufacturing Research: An Open Access Journal, Vol 11, Iss 1 (2023)
ABSTRACTThroughput is an important parameter to evaluate production system performance. It is typically constrained by one or more resources referred to as ‘throughput bottlenecks’. To start improvement actions, the first step is to identify thro
Externí odkaz:
https://doaj.org/article/55dea4e733f64559b8b45d3db9f16b27
Autor:
Mukund Subramaniyan, Anders Skoogh, Hans Salomonsson, Pramod Bangalore, Maheshwaran Gopalakrishnan, Azam Sheikh Muhammad
Publikováno v:
Production and Manufacturing Research: An Open Access Journal, Vol 6, Iss 1, Pp 225-246 (2018)
The digital transformation of manufacturing industries is expected to yield increased productivity. Companies collect large volumes of real-time machine data and are seeking new ways to use it in furthering data-driven decision making. A challenge fo
Externí odkaz:
https://doaj.org/article/4f24f31c0e1340d2961573269c8f940e
Autor:
Mukund Subramaniyan, Anders Skoogh, Maheshwaran Gopalakrishnan, Hans Salomonsson, Atieh Hanna, Dan Lämkull
Publikováno v:
Cogent Engineering, Vol 3, Iss 1 (2016)
Manufacturing companies continuously capture shop floor information using sensors technologies, Manufacturing Execution Systems (MES), Enterprise Resource Planning systems. The volumes of data collected by these technologies are growing and the pace
Externí odkaz:
https://doaj.org/article/2c6c4ea1d2814c628ff486d0e0bb9537
Autor:
Mukund Subramaniyan, Anders Skoogh, Maheshwaran Gopalakrishnan, Hans Salomonsson, Atieh Hanna, Dan Lämkull
Publikováno v:
Cogent Engineering, Vol 3, Iss 1 (2016)
Externí odkaz:
https://doaj.org/article/8f94df23f6404b239aa891369bd59846
Applications of Big Data analytics and Related Technologies in Maintenance—Literature-Based Research
Publikováno v:
Machines, Vol 6, Iss 4, p 54 (2018)
Digitalisation is argued to increase the efficiency of maintenance activities in a production system. One consequence of digitalisation is data deluge; this allows data analytics methods and technologies to be used. However, the actual data analytica
Externí odkaz:
https://doaj.org/article/80d7f4cfe5c4420697aa0313cdce6c19
Publikováno v:
Innovation Analytics ISBN: 9781800610002
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d05565c8fd8d42876af37e315c69093d
https://doi.org/10.1142/9781786349989_0001
https://doi.org/10.1142/9781786349989_0001
Autor:
Mukund Subramaniyan, Jon Bokrantz, Matthias Thürer, Qing Chang, Muhammad Azam Sheikh, Anders Skoogh
Publikováno v:
Journal of Manufacturing Systems. 60:734-751
Identifying, and eventually eliminating throughput bottlenecks, is a key means to increase throughput and productivity in production systems. In the real world, however, eliminating throughput bottlenecks is a challenge. This is due to the landscape
Autor:
Mukund Subramaniyan, Christoph Roser, Jon Bokrantz, Azam Sheikh Muhammad, Anders Skoogh, Björn Johansson
Publikováno v:
Journal of Manufacturing Systems. 55:143-158
The advancements in machine learning (ML) techniques open new opportunities for analysing production system dynamics and augmenting the domain expert's decision-making. A common problem for domain experts on the shop floor is detecting throughput bot
Publikováno v:
Journal of Manufacturing Systems. 53:271-281
Throughput bottleneck analysis is important in prioritising production and maintenance measures in a production system. Due to system dynamics, bottlenecks shift between different production resources and across production runs. Therefore, it is impo
Publikováno v:
Computers & Industrial Engineering. 125:533-544
Smart manufacturing is reshaping the manufacturing industry by boosting the integration of information and communication technologies and manufacturing process. As a result, manufacturing companies generate large volumes of machine data which can be