Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Amos H. C. Ng"'
Publikováno v:
IEEE Access, Vol 9, Pp 144195-144210 (2021)
In today’s global and volatile market, manufacturing enterprises are subjected to intense global competition, increasingly shortened product lifecycles and increased product customization and tailoring while being pressured to maintain a high degre
Externí odkaz:
https://doaj.org/article/4add997f14084e8aa8eb24f87bf518ef
Publikováno v:
IEEE Access, Vol 9, Pp 145382-145396 (2021)
The integration of simulation-based optimization and data mining is an emerging approach to support decision-making in the design and improvement of manufacturing systems. In such an approach, knowledge extracted from the optimal solutions generated
Externí odkaz:
https://doaj.org/article/18a8b0fa8d1948deb57ccbe14b526b4a
Autor:
Carlos Alberto Barrera-Diaz, Amir Nourmohammadi, Henrik Smedberg, Tehseen Aslam, Amos H. C. Ng
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1527 (2023)
In today’s uncertain and competitive market, where manufacturing enterprises are subjected to increasingly shortened product lifecycles and frequent volume changes, reconfigurable manufacturing system (RMS) applications play significant roles in th
Externí odkaz:
https://doaj.org/article/eab577fb62e64d93aa1b900ac2dcda63
Autor:
Henrik Smedberg, Carlos Alberto Barrera-Diaz, Amir Nourmohammadi, Sunith Bandaru, Amos H. C. Ng
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 6, p 106 (2022)
Current market requirements force manufacturing companies to face production changes more often than ever before. Reconfigurable manufacturing systems (RMS) are considered a key enabler in today’s manufacturing industry to cope with such dynamic an
Externí odkaz:
https://doaj.org/article/786b3f0c557e43b2bd3adb1611ba7387
An Optimization Model for Balancing Assembly Lines With Stochastic Task Times and Zoning Constraints
Publikováno v:
IEEE Access, Vol 7, Pp 32537-32550 (2019)
This paper aims to bridge the gap between theory and practice by addressing a real-world assembly line balancing problem (ALBP), where task times are stochastic and there are zoning constraints in addition to the commonly known ALBP constraints. A mi
Externí odkaz:
https://doaj.org/article/c319d1c0f0e64bacaa82fac12acb4e08
Autor:
Tehseen Aslam, Amos H C. Ng
Publikováno v:
Industrial Management & Data Systems, 2016, Vol. 116, Issue 2, pp. 291-321.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMDS-05-2015-0215
Publikováno v:
International Journal of Production Research. 59:3572-3590
Machining process efficiencies can be improved by minimising the non-machining time, thereby resulting in short operation cycles. In automatic-machining centres, this is realised via optimum cutting tool allocation on turret-magazine indices – the
Publikováno v:
European Journal of Operational Research. 281:402-414
Managing maintenance and its impact on business results is increasingly complex, calling for more advanced operational research methodologies to address the challenge of sustainable decision-making. This problem-based research has identified a framew
Autor:
Enrique Ruiz Zúñiga, Carlos Alberto Barrera Diaz, Andrés Del Riego Navarro, Amos H. C. Ng, Takayuki Hirose, Hideki Nomoto
Globalization and mass customization are commonly translated into increased levels of complexity in manufacturing systems. One of the main reasons is the increased number of variables, parameters, and interrelations on the shop floor. This intrinsic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bde172b7080e0ff8b12188678573b40
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-21093
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-21093
Application of reconfigurable manufacturing systems (RMS) plays a significant role in manufacturing companies’ success in the current fiercely competitive market. Despite the RMS’s advantages, designing these systems to achieve a high-efficiency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81a37c4842d162fb23bd3e0a0efc066b
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20724
http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20724