Orhan Torkul

Prof. Dr. Orhan Torkul


Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2013 in Materials & Design (1980-2015)
Verified
Journal Article
Closed access
MIMümtaz İpEk
Mümtaz İpEk
ISİhSan H. Selvi
İhSan H. Selvi
FFFehim FINDIK
Fehim FINDIK
OTOrhan Torkul
Orhan Torkul
ICI.H. Cedimoğlu
I.H. Cedimoğlu

10 May 2017 in International Transactions in Operational Research
Verified
Journal Article
Closed access
PDF file
Derya DeliktasDerya Deliktas
Derya Deliktas
OTOrhan Torkul
Orhan Torkul
OUOzden Ustun
Ozden Ustun

1 August 2004 in Journal of Intelligent Manufacturing
Verified
Journal Article
Closed access
PDF file
MAM. S. Aksoy
M. S. Aksoy
OTOrhan Torkul
Orhan Torkul
ICI. H. Cedimoglu
I. H. Cedimoglu

1 December 2016 in Computers & Industrial Engineering
Verified
Journal Article
Closed access
OTOrhan Torkul
Orhan Torkul
RYR. Yılmaz
R. Yılmaz
ISİ.H. Selvi
İ.H. Selvi
MCM.R. Cesur
M.R. Cesur

29 May 2022 in International Journal of Computer Integrated Manufacturing
Verified
Journal Article
Closed access
OTOrhan Torkul
Orhan Torkul
İSİhsan Hakan Selvi
İhsan Hakan Selvi
MŞMerve Şişçi
Merve Şişçi
Seru production system is an innovative assembly system and combines the flexibility of job shop production and high efficiency of assembly lines. This production system easily adapts to product replacements, reduces product wastages by eliminating work-in-process inventories and delay time, and provides enterprises with a competitive advantage through reducing the operating costs, required workforce, and space. Besides these advantages, the disadvantage of seru type production is that, in assembly lines, specific tasks are completed in specified stations, whereas in seru production, the tasks required for the assembly of a product are completed in a yatai by a cross-trained worker. This, in turn, results in a higher risk of production errors. Accordingly in this research, a conceptual model is proposed to monitor and control multiple factors of the production process like worker, environment, assembly tools, ergonomics, storage and inventory and issue warning for prevention of process and quality errors in seru production by use of advanced analytics based on deep learning. In addition to providing support to the worker, the proposed Smart Seru Production System Model will assist system participants in obtaining and understanding data about the production processes and reacting quickly based on this information.

4 June 2014 in Flexible Services and Manufacturing Journal
Verified
Journal Article
Closed access
PDF file
IEİhSan Erozan
İhSan Erozan
OTOrhan Torkul
Orhan Torkul
OUOzden Ustun
Ozden Ustun