Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Jatinder Madan"'
Autor:
Amer Ali, D. Chakradhar, Kaiyue Deng, Kun Kelvin Fu, James Glancey, Jay S. Gunasekera, N. Harikannan, R.J. Immanuel, Steve Zhengjie Jia, Jatinder Madan, James C. Malas, R. Ganesh Narayanan, S.K. Panigrahi, Soyeon Park, V. Satheeshkumar, Prince Pal Singh, P. Sivaiah, Venugopal Srinivasan, S. Vinodh
Publikováno v:
Sustainable Manufacturing Processes ISBN: 9780323999908
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6834a399f691b1a4997f596f4addac51
https://doi.org/10.1016/b978-0-323-99990-8.01002-x
https://doi.org/10.1016/b978-0-323-99990-8.01002-x
Autor:
Jatinder Madan, Prince Pal Singh
Publikováno v:
Sustainable Manufacturing Processes ISBN: 9780323999908
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44f3aa6f6f49c5b48e51df47910f3288
https://doi.org/10.1016/b978-0-323-99990-8.00003-5
https://doi.org/10.1016/b978-0-323-99990-8.00003-5
Publikováno v:
International Journal of Production Research. 59:3996-4016
This paper proposes a new metric for product flow configuration selection for reconfigurable manufacturing system (RMS) that considers nine industrially relevant important factors. The metrics for ...
Publikováno v:
Materials Today: Proceedings. 28:1643-1648
A reconfigurable manufacturing system (RMS) quickly changes machine configurations to adapt to variations in demand related to volume of product and design. A decision of machine configuration change is taken after considering many factors, such as t
Design Feature Assessment for Fused Deposition Modeling Using Supervised Machine Learning Algorithms
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811670589
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afdf502b496502486f1fd5cee36765e7
https://doi.org/10.1007/978-981-16-7059-6_20
https://doi.org/10.1007/978-981-16-7059-6_20
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811595530
This paper proposes a mathematical model for choosing an economically sustainable set of reconfigurable machine tools (RMTs) for a manufacturing line considering sustainable manufacturing (SM) metrics. The model takes into account energy consumption
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e1dc33fd920ce80184b65ef9326d160
https://doi.org/10.1007/978-981-15-9554-7_40
https://doi.org/10.1007/978-981-15-9554-7_40
Autor:
Jatinder Madan, Ranjit Singh
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 101:1793-1806
Current practices in the industry require significant involvement of die-casting experts who have to consider industry best practices and knowledge of process physics besides reference to a number of databases is also required making it very time con
Characterization, Physical and Mechanical Behavior of Sintered Atomized Iron–Zinc Stearate Composite
Publikováno v:
Transactions of the Indian Institute of Metals. 71:41-55
Powder metallurgy is an effective method to process the iron component in near net shape. In this paper, the influence of particle size, lubricant and compaction load on the physical and mechanical properties of the sintered iron–zinc stearate comp
Publikováno v:
Volume 1: Additive Manufacturing; Manufacturing Equipment and Systems; Bio and Sustainable Manufacturing.
We propose a systematic approach for product flow configuration selection for reconfigurable manufacturing system (RMS) that considers ten industrially relevant most important factors. The paper first defines performance metrics for the identified fa
Publikováno v:
Industrial Engineering Journal. 11