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A simulation study on nonlinear principal component analysis

Voß, Brigitta - 1999

In statistical practice multicollinearity of predictor variables is rather the rule than the exception and appropriate models are needed to avoid instability of predictions. Feature extraction methods reflect the idea that latent variables not measurable directly are underlying the original...

Persistent link: https://www.econbiz.de/10009789906

Forecasting financial time-series using data mining models : A simulation study

Bou-Hamad, Imad; Jamali, Ibrahim - In: Research in international business and finance 51 (2020), pp. 1-14

Persistent link: https://www.econbiz.de/10012205510

Emergency department network under disaster conditions : the case of possible major Istanbul earthquake

Gul, Muhammet; Guneri, Ali Fuat; Gunal, Murat M. - In: Journal of the Operational Research Society 71 (2020) 5, pp. 733-747

Persistent link: https://www.econbiz.de/10012216758

Load Management in Power Grids

Köpp, Cornelius; Mettenheim, Hans-Jörg; Breitner, Michael - In: Business & Information Systems Engineering 5 (2013) 1, pp. 35-44

Decentralized renewable energy sources become more and more common. This leads to stability problems in power grids. Conventional energy sources are easy to control. In contrast, wind and solar power are much more difficult to forecast. Forecasts are only possible short term and are more...

Persistent link: https://www.econbiz.de/10011001412

A neural network based system for predicting earthmoving production

Shi, Jonathan Jingsheng - In: Construction Management and Economics 17 (1999) 4, pp. 463-471

An artificial neural network based system (NN earth) is developed for construction practitioners as a simple tool for predicting earthmoving operations, which are modelled by back propagation neural networks with four expected parameters and seven affecting factors. These networks are then...

Persistent link: https://www.econbiz.de/10005482616

Analysis and simulation of smart energy clusters and energy value chain for fish processing industries

Alzahrani, Ateyah; Petri, Ioan; Rezgui, Yacine - In: Energy Reports 6 (2020) 1, pp. 534-540

conduct energy modelling and optimization for the Milford Haven fish processing port in South Wales. We explain how a … simulation capability can be developed at the fish industry port level and propose a simulation-based optimization strategy to … appliance schedules developed in relation to the total energy demand as well as a wide range of optimization constraints. …

Persistent link: https://www.econbiz.de/10012652146

Assembly line performance and modeling

Rane, Arun B.; Sunnapwar, Vivek K. - In: Journal of Industrial Engineering International 13 (2017) 3, pp. 347-355

Automobile sector forms the backbone of manufacturing sector. Vehicle assembly line is important section in automobile plant where repetitive tasks are performed one after another at different workstations. In this thesis, a methodology is proposed to reduce cycle time and time loss due to...

Persistent link: https://www.econbiz.de/10011773122

Optimization and simulation for sustainable supply chain design

Schreiber, Lucas - 2019

Purpose: This paper provides an overview of analytical optimization models and simulation-based approaches coping with … simulation and optimization are identified and an integrated approach is outlined. Findings: Sustainable supply chain design … focusing on sustainable supply chain design mainly use simulation or optimization. A well-defined approach using various …

Persistent link: https://www.econbiz.de/10012143199

Vaccine prioritization for effective pandemic response

Lee, Eva K.; Yuan, Fan; Pietz, Ferdinand H.; Benecke, … - In: Interfaces : the INFORMS journal on the practice of … 45 (2015) 5, pp. 425-443

Persistent link: https://www.econbiz.de/10011392468

Modeling and valuation of energy structures : analylsis., econometrics, and numerics

Mahoney, Daniel - 2016

Persistent link: https://www.econbiz.de/10011399615

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