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The future of business schools research : the need for dual research methodologies

Kaptein, Muel; Yip, George S. - In: Business schools and their contribution to society, (pp. 114-124). 2011

Persistent link: https://www.econbiz.de/10009557968

An environmental hedging point policy to control production rate and emission in unreliable manufacturing systems

Ben-Salem, A.; Gharbi, A.; Hajji, A. - In: International journal of production research 53 (2015) 2, pp. 435-450

Persistent link: https://www.econbiz.de/10010493889

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/10012266041

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/10012006790

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/10012020206

Response surface method-based optimisation of spray parameters during impingement cooling of hot steel in rolling

Nayak, Santosh Kumar; Mishra, Purna Chandra - In: International journal of process management and … 8 (2018) 2, pp. 125-141

Persistent link: https://www.econbiz.de/10011859104

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

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/10012125712

Application of Box-Behnken design for the optimisation of process parameters in dry drilling operation

Mondal, Subhas Chandra; Kumar, Jitendra - In: International journal of productivity and quality … 18 (2016) 4, pp. 456-473

Persistent link: https://www.econbiz.de/10011641343

Application of response surface methodology in evaluating the performance of conventional, wiper, cryogenically treated and coated (TiN, TiAlN and TiCN) carbide inserts in turning...

Pradeep, A. V.; Lingaraju, D.; Ramakrishna, S. - In: International journal of agile systems and management : … 11 (2018) 4, pp. 340-363

Persistent link: https://www.econbiz.de/10011978667