http://ijorlu@gmail.com International Journal of Applied Operational Research - An Open Access Journal - Journal articles for year 2019, Volume 9, Number 2 Yektaweb Collection - https://yektaweb.com en 2019/4/12 http://ijaor.ir/browse.php?a_id=576&sid=1&slc_lang=en In this research is presented a method for technological capabilities assessment in a company in transformer industry. Used and discussed criteria in this technique are merely developed to assess technological capabilities in transformer industry. Based on literature, technological capabilities in transformer industry are divided into three main categories: production capability, development and investment capability, and innovation capability. For assessing each of the above mentioned using four technology components as an entry and indicators of different technological capabilities assessment models, and for quantifying different components, it is required to use Atlas technology model. It is required to mention that indicators relating to transformer production industry have been recognized and technological capabilities status has been determined. Finally, it could be concluded that how the level of this company is in terms of production capability, development, and innovation capability. From the conducted studies in the case, some technological capabilities indicators, effective factors in technological capabilities enhancement are drawn and procedures to increase technological capabilities are presented. Finally, problems and obstacles are identified. A. Najafi http://ijaor.ir/browse.php?a_id=584&sid=1&slc_lang=en In this paper a new four-parameter lifetime distribution named “the Exponentiated gompertz-poisson (E-GP) distribution” has been suggested that it has a decreasing, increasing, bathtub-shaped and inverse bathtub-shape for modeling lifetime data. The Exponentiated gompertz-poisson has applications in survival, reliability modeling, lifetime and queuing problems. Firstly, the mathematical and statistical characteristics of the proposed distribution are presented, and then the applications of the new distribution are studied using the real data set. Its first moment about origin and moments about mean have been obtained and expressions for skewness, kurtosis have been given. Various mathematical and statistical properties of the proposed distribution have been discussed. Estimation of its parameter has been discussed using the method of maximum likelihood. In the end, two applications of the new distribution have been discussed with two real lifetime data sets. The results also confirmed the suitability of the presented models for real data collection. A. Abdollahi Nanvapisheh http://ijaor.ir/browse.php?a_id=577&sid=1&slc_lang=en Cross-efficiency is an effective approach for evaluation of DMUs which can be performed with different secondary goals. DEA and cross-efficiency view all variables as behaving in a linear fashion and regardless of the amounts of a variable held by DMUs, DEA apply a same multiplier to those various amounts. But in certain situations, this linearity assumption is not appropriate, and the conventional models need to be altered to accommodate nonlinear representations. This paper proposed a modified cross efficiency structure of Liang et al. that captures certain form of nonlinear behavior. A numerical example is provided to illustrate the approach. S. Sadeghi Gavgani http://ijaor.ir/browse.php?a_id=554&sid=1&slc_lang=en In thermoelectric coolers (TECs) applied external voltage potential is generated to a temperature difference based on the Peltier effect. Main and basic structure of TECs is in the form of single stage device. Due to the low efficiency, especially low coefficient of performance (COP) of thermoelectric coolers, optimal design of geometrical parameters of such devices is vital. For this purpose, usually optimization algorithms are used. Therefore, in this research, chemical reaction optimization algorithm (CRO) is used in order to optimal design of structure of single stage thermoelectric cooler. CRO algorithm is a novel optimization scheme inspired form chemical reaction mechanisms. The results of the research are compared with previous data obtained using other optimization algorithm. Comparison of the results shows that application of CRO algorithm results in enhancement of COP of the system. Therefore, CRO algorithm proposed in this research could be used for better design of single stage TECs to achieve higher efficiency and coefficient of performance of the system. A. Hadidi