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Throughput bottleneck detection in manufacturing: a systematic review of the literature on methods and operationalization modes
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Throughput bottleneck detection in manufacturing: a systematic review of the literature on methods and operationalization modes

Skoogh, Anders ; Thürer, Matthias ; Subramaniyan, Mukund ; Matta, Andrea ; Roser, Christoph

Production & manufacturing research, 2023-12, Vol.11 (1) [Periódico revisado por pares]

Abingdon: Taylor & Francis

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Applications of Big Data analytics and Related Technologies in Maintenance—Literature-Based Research
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Applications of Big Data analytics and Related Technologies in Maintenance—Literature-Based Research

Baum, Jens ; Laroque, Christoph ; Oeser, Benjamin ; Skoogh, Anders ; Subramaniyan, Mukund

Machines (Basel), 2018, Vol.6 (4), p.54 [Periódico revisado por pares]

Basel: MDPI AG

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An algorithm for data-driven shifting bottleneck detection
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An algorithm for data-driven shifting bottleneck detection

Subramaniyan, Mukund ; Skoogh, Anders ; Gopalakrishnan, Maheshwaran ; Salomonsson, Hans ; Hanna, Atieh ; Lämkull, Dan Guo, Jun

Cogent engineering, 2016-12, Vol.3 (1), p.1239516 [Periódico revisado por pares]

Abingdon: Cogent

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4
A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
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A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines

Subramaniyan, Mukund ; Skoogh, Anders ; Salomonsson, Hans ; Bangalore, Pramod ; Bokrantz, Jon

Computers & industrial engineering, 2018-11, Vol.125, p.533-544 [Periódico revisado por pares]

Elsevier Ltd

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Data-driven algorithm for throughput bottleneck analysis of production systems
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Data-driven algorithm for throughput bottleneck analysis of production systems

Subramaniyan, Mukund ; Skoogh, Anders ; Salomonsson, Hans ; Bangalore, Pramod ; Gopalakrishnan, Maheshwaran ; Sheikh Muhammad, Azam

Production & manufacturing research, 2018, Vol.6 (1), p.225-246 [Periódico revisado por pares]

Taylor & Francis

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Data-driven machine criticality assessment - maintenance decision support for increased productivity
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Data-driven machine criticality assessment - maintenance decision support for increased productivity

Gopalakrishnan, Maheshwaran ; Subramaniyan, Mukund ; Skoogh, Anders

Production planning & control, 2022-01, Vol.33 (1), p.1-19 [Periódico revisado por pares]

London: Taylor & Francis

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7
Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM
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Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM

Bokrantz, Jon ; Subramaniyan, Mukund ; Skoogh, Anders

Production planning & control, 2023-07, Vol.ahead-of-print (ahead-of-print), p.1-21 [Periódico revisado por pares]

Taylor & Francis

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8
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing
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A generic hierarchical clustering approach for detecting bottlenecks in manufacturing

Subramaniyan, Mukund ; Skoogh, Anders ; Muhammad, Azam Sheikh ; Bokrantz, Jon ; Johansson, Björn ; Roser, Christoph

Journal of manufacturing systems, 2020-04, Vol.55, p.143-158 [Periódico revisado por pares]

Elsevier Ltd

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9
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
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A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective

Subramaniyan, Mukund ; Skoogh, Anders ; Muhammad, Azam Sheikh ; Bokrantz, Jon ; Johansson, Björn ; Roser, Christoph

Computers & industrial engineering, 2020-12, Vol.150, p.106851, Article 106851 [Periódico revisado por pares]

Elsevier Ltd

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10
Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions
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Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions

Subramaniyan, Mukund ; Skoogh, Anders ; Bokrantz, Jon ; Sheikh, Muhammad Azam ; Thürer, Matthias ; Chang, Qing

Journal of manufacturing systems, 2021-07, Vol.60, p.734-751 [Periódico revisado por pares]

Elsevier Ltd

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