S. Nurmaya Musa

Dr. S. Nurmaya Musa

Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Jalan Universiti, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 September 2011 in International Journal of Production Economics
Verified
Journal Article
Closed access
OTOu Tang
Ou Tang
S. Nurmaya MusaS. Nurmaya Musa
S. Nurmaya Musa

22 April 2015 in Neural Computing and Applications
Verified
Journal Article
Closed access
PDF file
Alireza FallahpourAlireza Fallahpour
Alireza Fallahpour
EOEzutah Udoncy Olugu
Ezutah Udoncy Olugu
S. Nurmaya MusaS. Nurmaya Musa
S. Nurmaya Musa
DKDariush Khezrimotlagh
Dariush Khezrimotlagh
Kuan Yew WongKuan Yew Wong
Kuan Yew Wong

2 October 2014 in Journal of Intelligent Manufacturing
Verified
Journal Article
Closed access
PDF file
SMSeyed Mohsen Mousavi
Seyed Mohsen Mousavi
ABArdeshir Bahreininejad
Ardeshir Bahreininejad
S. Nurmaya MusaS. Nurmaya Musa
S. Nurmaya Musa
FYFarazila Yusof
Farazila Yusof

28 January 2023 in Applied Sciences
Verified
Journal Article
Open access
PDF file
ZGZhi Lon Gan
Zhi Lon Gan
S. Nurmaya MusaS. Nurmaya Musa
S. Nurmaya Musa
HYHwa Jen Yap
Hwa Jen Yap
The high-mix, low-volume (HMLV) industry has seen growth in the need for product customisation with research to increase manufacturers’ flexibility for the variation in market demands. This paper reviews 152 documents from 2000 to October 2022, discussing work related to HMLV production. From an industrial perspective, this paper analyses the industries with HMLV, revealing production sectors and research areas, categorising the developed work, type of validation, and applications. The results show that most work is not industry-specific, with production planning as the central aspect of the research. While other parts of the production processes and value chain received less attention, the semiconductor and electronics industries are the two most researched with substantial validation, leaving gaps in other industries. Earlier work primarily focused on the theoretical development of production planning; however, the development of Industry 4.0 technologies advocates decision support systems for reactive production planning. This period sees the rise in robotics and automation, with improved robotics capability and human—robot collaboration. Assembly assistance systems were developed for manual production to aid operators in managing the variety of information. This paper serves as a reference for the HMLV manufacturing industry in a structured manner while identifying potential for future research in this field.

7 November 2015 in Neural Computing and Applications
Verified
Journal Article
Closed access
PDF file
Alireza FallahpourAlireza Fallahpour
Alireza Fallahpour
EOEzutah Udoncy Olugu
Ezutah Udoncy Olugu
S. Nurmaya MusaS. Nurmaya Musa
S. Nurmaya Musa

1 September 2012 in International Journal of Production Economics
Verified
Journal Article
Closed access
OTOu Tang
Ou Tang
S. Nurmaya MusaS. Nurmaya Musa
S. Nurmaya Musa
JLJuan Li
Juan Li