D. E. Ighravwe

A manufacturing system energy-efficient optimisation model for maintenance-production workforce size determination using integrated fuzzy logic and quality function deployment approach

D. E. Ighravwe, S. A. Oke, S. Oke, 2016, Int. J. Syst. Assur. Eng. Manag..

Development of artificial neural network for surface roughness and machine prediction

S. A Afolalu, D. E. Ighravwe, E. F Iriaye, 2019 .

A CRITIC-TOPSIS framework for hybrid renewable energy systems evaluation under techno-economic requirements

D. E. Ighravwe, M. O. Babatunde, M. O. Babatunde, 2019, Journal of Project Management.

A non-zero integer non-linear programming model for maintenance workforce sizing

Sunday Ayoola Oke, D. E. Ighravwe, 2014 .

An enhanced reliability-oriented workforce planning model for process industry using combined fuzzy goal programming and differential evolution approach

S. A. Oke, K. A. Adebiyi, D. E. Ighravwe, 2018 .

A reliability-based maintenance technicians’ workloads optimisation model with stochastic consideration

Sunday Ayoola Oke, K. A. Adebiyi, D. E. Ighravwe, 2016 .

Wind turbine systems operational state and reliability evaluation: An artificial neural network approach

D. E. Ighravwe, D. O. Aikhuele, A. Periola, 2019, International Journal of Data and Network Science.

An automated framework for business enterprise performance evaluation

D. E. Ighravwe, C. O. Anyaeche, D. Ighravwe, 2018, African Journal of Science, Technology, Innovation and Development.

Project portfolio selection of banking services using COPRAS and Fuzzy-TOPSIS

D. E. Ighravwe, C. O. Anyaeche, D. Ighravwe, 2017 .