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Theory of inventive problem solving method in sand casting process optimisation
Kumaravadivel, A. - In: International journal of productivity and quality … 16 (2015) 4, pp. 445-461
Persistent link: https://www.econbiz.de/10011458770
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A simulation-based multi-objective optimisation for critical parameters design of an automotive paint shop using design of experiments
Keshavarzfard, Razieh; Tavakoli, Vahid - In: International journal of process management and … 16 (2024) 1, pp. 81-90
Persistent link: https://www.econbiz.de/10015064380
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A new mathematical model for locating distribution centres for attracting more retailers
Emami, S. Behrooz; Ghandehari, M.; Sajadi, S. Mojtaba - In: International journal of productivity and quality … 14 (2014) 2, pp. 166-178
Persistent link: https://www.econbiz.de/10010488501
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On the extreme points of moment sets
Pinelis, Iosif - In: Mathematical methods of operations research 83 (2016) 3, pp. 325-349
Persistent link: https://www.econbiz.de/10011673670
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Bi-objective optimization of multi-server intermodal hub-location-allocation problem in congested systems : modeling and solution
Kahag, Mahdi Rashidi; Niaki, Seyed Taghi Akhavan; … - In: Journal of industrial engineering international 15 (2019) 2, pp. 221-248
A new multi-objective intermodal hub-location-allocation problem is modeled in this paper in which both the origin and the destination hub facilities are modeled as an M/M/m queuing system. The problem is being formulated as a constrained bi-objective optimization model to minimize the total...
Persistent link: https://www.econbiz.de/10012020123
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Multi-objective optimisation of Mahua oil transesterification using response surface methodology and grey relational analysis
Rajan, R. R. Neela; Rajesh, R. - In: International journal of enterprise network management 8 (2017) 4, pp. 340-360
Persistent link: https://www.econbiz.de/10011853417
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Multi-response optimisation of process parameters in pocket milling using artificial neural networks and genetic algorithms
Rajyalakshmi, M.; Rao, M. Venkateswara - In: Journal of information & knowledge management : JIKM 21 (2022) 2, pp. 1-15
In the plastic industry for mold making, pocket milling is applied. The surface finish of the mold affects the quality of the plastic product, especially for toys. This can be achieved by minimising the surface roughness of the mold. To get a good quality product with a better production rate,...
Persistent link: https://www.econbiz.de/10013389523
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Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance
Nicolai, Robin P.; Dekker, Rommert - 2005
Response Surface Methodology (RSM) is a tool that was introduced in the early 50's by Box and Wilson (1951). It is a …. Applications of RSM can be found in e.g. chemical, engineering and clinical sciences. In this paper we are interested in finding … the best settings for an automated RSM procedure when there is very little information about the stochastic objective …
Persistent link: https://www.econbiz.de/10010325402
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Automated response surface methodology for stochastic optimization models with unknown variance
Nicolai, Robin P.; Dekker, Rommert - 2005
Response Surface Methodology (RSM) is a tool that was introduced in the early 50's by Box and Wilson (1951). It is a …. Applications of RSM can be found in e.g. chemical, engineering and clinical sciences. In this paper we are interested in finding … the best settings for an automated RSM procedure when there is very little information about the stochastic objective …
Persistent link: https://www.econbiz.de/10011343271
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Robust optimisation of Nd : YLF laser beam micro-drilling process using Bayesian probabilistic approach
Ouyang, Linhan; Ma, Yizhong; Chen, Jianxiong; Zeng, Zhigang - In: International journal of production research 54 (2016) 21/22, pp. 6644-6659
Persistent link: https://www.econbiz.de/10011565831