Data Envelopment Analysis, DEA
RAM PRATAP SINHA; Bahareh Vaisi; Seyed Ahmad Edalatpanah
Abstract
Managerial ability plays a key role in the performance of productive firms especially the optimal utilization of firm resources for facilitating revenue generation and growth. However, managerial ability is a factor which cannot be observed directly. The present study provides an indirect estimation ...
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Managerial ability plays a key role in the performance of productive firms especially the optimal utilization of firm resources for facilitating revenue generation and growth. However, managerial ability is a factor which cannot be observed directly. The present study provides an indirect estimation of managerial ability of Indian private sector commercial banks based on the estimation of residuals from the regression of firm-specific efficiency scores on several contextual variables. The study is based on 126 bank-year observation spread over 7 years. The results indicate that managerial ability is positively and significantly associated with the efficiency during 2014 till 2016 and during 2020-21 for new private banks and the result is statistically significant. The new private banks have done better in terms of efficiency due to low debt overhang (higher performing asset to total asset ratio), better capital adequacy ratio and more command over the market.
Scheduling
Bahareh Vaisi; Hiwa Farughi; Sadigh Raissi; Heibatolah Sadeghi
Abstract
In this study, we model a stochastic scheduling problem for a robotic cell with two unreliable machines susceptible to breakdowns and subject to the probability of machine failure and machine repair. A single gripper robot facilitates the loading/unloading of parts and cell-internal movement. Since it ...
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In this study, we model a stochastic scheduling problem for a robotic cell with two unreliable machines susceptible to breakdowns and subject to the probability of machine failure and machine repair. A single gripper robot facilitates the loading/unloading of parts and cell-internal movement. Since it is more complicated than the other cycles, the focus has been on the S_2 cycle as the most frequently employed robot movement cycle. Therefore, a multi-objective mathematical formulation is proposed to minimize cycle time and operational costs. The -constraint method is used to solve small-sized problems. Non-dominated sorting genetic algorithm II (NSGA-II), is used to solve large-sized instances based on a set of randomly generated test problems. The results of several Test problems were compared with those of the GAMS software to evaluate the algorithm's performance. The computational results indicate that the proposed algorithm performs well. Compared to GAMS software, the average results for maximum spread (D) and non-dominated solutions (NDS) are 0.02 and 0.04, respectively.
