Mushtaq Taleb graduated in Iraq-Baghdad in 1999 with a B.Sc. in Operations Research and in 2002 with a M.Sc. in Operations Research from university of Baghdad. He obtained his PhD in Operations Research-Decision Sciences from School of Quantitative Sciences in Universiti Utara Malaysia, Malaysia. His research interests are in hybrid integer-valued data envelopment analysis, super efficiency of non-radial data envelopment analysis model, and data envelopment analysis models with undesirable and exogenously fixed factors.
Assessing environmental and operational efficiencies: a multi-objective optimization problem in a two-stage network data envelopment analysis Azadeh Omid, Adel Azar, Mushtaq Taleb IMA Journal of Management Mathematics, 2024 Accepted by: Ali Emrouznejad The environmental efficiency of industries plays an important role in economic development of countries. Accordingly, dividing the internal network structure of industries into two sub-processes, including green and operational stages, enables decision-makers to assess both of the efficiencies simultaneously. Such assessment can be implemented using a non-parametric methodology termed data envelopment analysis (DEA). Standard DEA models consider the whole system of decision-making units (DMUs) as a single process (i.e. black-box). The black-box approach ignores modelling of the internal network structure of the assessed DMUs. This issue tackled by network DEA models since it considers the internal network structure of DMUs. In the network DEA, the efficiency evaluation of system stages is essential to identify its overall efficiency, resulting to a multi-objective optimization problem. Therefore, the network DEA is a widely welcomed methodology proposed for solving multi-objective problems. This paper assesses the operational and environmental efficiencies of a network structure system by converting the multi-objective optimization problem into a linear single objective function. In this investigation, a technique of tri-objective function problem is proposed. The proposed technique transforms into a single objective function by keeping one objective function and shifting the other two objective functions into the model’s constraints. The applicability and usefulness of the proposed technique have been tested using a data set of 20 industries. The developed approach provides valuable evaluations to decision-makers to rank DMUs by considering their green and operational efficiency simultaneously.
An extended-directional mix-efficiency measure: Performance evaluation of OECD countries considering NetZero Mushtaq Taleb, Ali Emrouznejad, Vincent Charles, Ruzelan Khalid, Razamin Ramli Computers and Industrial Engineering, 2024 Conventional data envelopment analysis (DEA) models make the assumption of controllable inputs and desirable outputs. However, in many real-world applications, there are two major issues facing the management of decision-making units. The first one is how to deal with uncontrollable inputs whose levels are determined by exogenous fixed factors. The second is how to deal with undesirable outputs that are accompanied by desirable outputs. The effect of the operating environment is frequently captured by uncontrollable inputs and undesirable outputs. The modulation of these two factors into a directional DEA model is still in its infancy in the DEA literature. This paper proposes new directional mix-efficiency measure and slacks-based measure models. These two efficiency models are proposed in the context of uncontrollable inputs and undesirable outputs. The new metric looks at how well the input and/or output mix should change to achieve a fully efficient status by decreasing controllable inputs and undesirable outputs and/or increasing desirable outputs while keeping uncontrollable inputs constant. The new mix-efficiency measure is based on the directional distance function and the slacks-based measure. The usefulness and applicability of the proposed models are assessed by measuring the eco-efficiency of the Organization for Economic Co-Operation and Development (OECD) countries. The aim of the application is to measure efficiency in the context of NetZero, with a specific focus on reducing CO2 emissions. The findings reveal that six countries—France, Luxembourg, Germany, Norway, Sweden, and the UK—have achieved eco-efficiency; therefore, these countries function in the constant returns-to-scale (CRS) region.
Assessing and ranking the performance of higher education institutions: a non-radial super efficiency DEA approach Mushtaq Taleb, Ruzelan Khalid, Mamdooh Attallah, Qaiser Abdul Kareem, Razamin Ramli International Journal of Education Economics and Development, 2023 In this era of global competition, higher education institutions (HEIs) are important institutions for social development and economic sustainability of a country. Thus, the efficiency of HEIs should always be evaluated to maintain their quality and improve their performance through various strategic planning. Such efficiency evaluation can be performed using data envelopment analysis (DEA). One of the prominent models of DEA is a super efficiency slacks-based measure (SE-SBM) model that can simultaneously deal with input and output slacks. However, the model has not much been used to evaluate the efficiency of HEIs. To address this gap, this paper utilises SBM and SE-SBM models to assess the efficiency of 41 research and teaching universities in Taiwan. The results showed that 25 universities achieved the super efficiency status, with the top ranked are the best DMUs consuming their educational inputs to produce their educational outputs.
Evaluating efficiency and ranking of suppliers using non-radial super-efficiency data envelopment analysis with uncontrollable factors Mushtaq Taleb, Ruzelan Khalid, Mamdooh Attallah, Razamin Ramli, Mohd Kamal Mohd Nawawi International Journal of Computer Mathematics Computer Systems Theory, 2023 Supply chain management (SCM) has been received much attention from academics and corporates. Effective and sustainable SCM require proper efficiency evaluation of suppliers. Such evaluation can be performed using data envelopment analysis (DEA). Classical DEA models presume all inputs and outputs are under the control of suppliers’ management, as well as the models cannot provide a complete ranking of efficient and inefficient suppliers. However, in SCM and other real-managerial problems, some inputs and/or outputs may be uncontrollable (outside management control). Thus, this paper proposes a super efficiency of slacks-based measure (SE-SBM) approach that can handle uncontrollable factors. The proposed approach can distinguish between efficient and inefficient suppliers and identify their rankings. The discriminating power of the proposed approach is due to it concurrently deals with input excesses and output shortfalls to improve inefficient suppliers, as well as input savings and output surpluses of efficient suppliers to maintain their efficient status.
