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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/10013470787

The potential of utilising papaya seed oil and stone fruit kernel oil as non-edible feedstock for biodiesel production in Australia: A review

Anwar, Mohammad; Rasul, Mohammad G.; Ashwath, Nanjappa; … - In: Energy Reports 5 (2019), pp. 280-297

This paper reviews and discusses the potential of papaya seed and stone fruit kernel biodiesels - the two sources of 2nd generation transport biodiesels in Australia. The challenges associated with biodiesel production and their possible solutions, particularly on feedstock selection, oil...

Persistent link: https://www.econbiz.de/10012651945

Biodiesel production from Terminalia bellerica using eggshell-based green catalyst: An optimization study with response surface methodology

Marwaha, Akshey; Rosha, Pali; Kumar Mohapatra, Saroj; … - In: Energy Reports 5 (2019), pp. 1580-1588

The main aim of this study was to find the possibility of biodiesel production from Terminalia bellerica and evaluation of optimal input reaction parameters (molar ratio, reaction temperature and catalyst amount) for maximizing the methyl ester yield with Box-Behnken design. Calcium oxide...

Persistent link: https://www.econbiz.de/10012652056

Biohydrogen production from cheese whey powder by Enterobacter asburiae: Effect of operating conditions on hydrogen yield and chemometric study of the fermentative metabolites

Alvarez-Guzmán, Cecilia L.; Cisneros-de la Cueva, Sergio; … - In: Energy Reports 6 (2020), pp. 1170-1180

In this study, the response surface methodology (RSM) with a central composite design (CCD) was applied to evaluate the …

Persistent link: https://www.econbiz.de/10012652473

Energy ratio of produced biodiesel in hydrodynamic cavitation reactor equipped with LabVIEW controller and artificial intelligence

Naderloo, Leila - In: Energy Reports 6 (2020), pp. 1456-1467

(ANFIS), artificial neural network (ANN) and response surface methodology (RSM) methods were employed. The average energy … ratio was obtained 1.205, and the R2 of the best ANFIS, ANN and RSM models were 0.989, 0.966, and 0.990, respectively, and … MSE was calculated at 0.0005, 0.0015 and 0.00003. The results revealed that the RSM and ANFIS models were preferred to the …

Persistent link: https://www.econbiz.de/10012652498

Parametric optimization of Nd: YAG laser microgrooving on aluminum oxide using integrated RSM-ANN-GA approach

Dixit, Salila Ranjan; Das, Sudhansu Ranjan; Dhupal, … - In: Journal of Industrial Engineering International 15 (2019) 2, pp. 333-349

central composite design (CCD) design of experiments (DOEs) are performed, and response surface method (RSM), artificial …

Persistent link: https://www.econbiz.de/10013470794

Applying meta-modeling for extended CGE-modeling: Sampling techniques and potential application

Jin, Ding; Hedtrich, Johannes; Henning, Christian H. C. A. - 2018

Apart from the computational time and expenses of the CGE model, the discussion of elasticity parameter estimation and various closure rules as well as the difficulty of combining the results with other analysis approaches always poses obstacles ahead of us, therefore we are motivated to apply...

Persistent link: https://www.econbiz.de/10012040561

Structural interactions and long run growth: An application of experimental design to agent based models

Ciarli, Tommaso - 2012

We propose an agent-based computational model defining the following dimensions of structural change - organisation of production, technology of production, and product on the supply side, and income distribution and consumption patterns on the demand side - at the microeconomic level. We define...

Persistent link: https://www.econbiz.de/10010281852

Metamodeling: A useful tool for applying innovative simulation techniques in agricultural economics

Jin, Ding - 2021

Computational simulation models are widely used in the field of agricultural economics for a variety of tasks, particularly for evidence-based policy analysis. Despite the substantial and continuing growth of computing power and speed, the growing complexity together with the implicit nature of...

Persistent link: https://www.econbiz.de/10012518471

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