http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
The Role of Absorptive Capacity on Business Perform-ance in Distribution of Creative Industry
Muh. Indra Fauzi ILYAS(Muh. Indra Fauzi ILYAS ),Djabir HAMZAH(Djabir HAMZAH ),Sumardi SUMARDI(Sumardi SUMARDI ),Abdullah SANUSI(Abdullah SANUSI ) 한국유통과학회 2023 유통과학연구 Vol.21 No.3
Purpose: This study discusses the creative industry phenomenon which has different business characteristics both from resources and production processes to distribution. The study intends to analyze the effect of entrepreneurial orientation and market orientation on business performance by using absorptive capacity as a mediator. Research design, data, and methodology: Using the quantitative method, data were collected from 97 respondents, who are managers or owners of creative industry businesses in Makassar City, South Sulawesi, Indonesia. Data analyzed used Partial Least Square - Structural Equation Model. Results: The results of this study reveal that entrepreneurial orientation has no significant effect on business performance and has indirectly a trough absorptive capacity. Market orientation has a significant effect on business performance and indirectly through absorptive capacity. Another result is that absorptive capacity has a significant effect on business performance. Conclusions: When absorptive capability stresses the assimilation and exploitation of knowledge and market intelligence that has been learned to boost business performance improvements, market orientation and entrepreneurial orientation offer knowledge and experience to business processes including the creation of value distribution in the creative industries.
Ilyas Sadia,Srivastava Rajiv Ranjan,Jin Suhyeon,Kim Hyunjung 한국자원공학회 2023 Geosystem engineering Vol.26 No.2
In the present study, a complete separation of copper over nickel has been studied from an ammoniacal leach liquor of nickel laterite ore generated via the Caron process. For this purpose, a phenolic oxime (LIX 84-IC) used as the extractant molecule was mixed with tributyl phosphate (TBP) to inhibit the co-extraction of nickel with copper loading into the organic phase. The antagonistic effect of TBP was confirmed by the distribution coefficients to be Dmix << DLIX 84-IC + DTBP and negative values of ΔD. The highest separation (βCu/Ni) of >1329 was yielded using the molar ratio of organic mixture at LIX 84-IC:TBP = 0.4:0.6 at an organic-to-aqueous phase ratio of 1. The thermodynamic properties of copper extraction exhibited an endothermic nature with ΔH° value of 5.4 kJ∙mol−1, indicating the formation of inner-sphere coordination between metal ions and the organic mixture. Further, the stripping of copper from the loaded organic phase was quantitatively achieved by contacting with 1.0 mol∙L−1 H2SO4 solution at the unit phase ratio.
Fuzzy Regression Analysis using Trapezoidal Fuzzy Numbers
Ilyas Idrisovich Ismagilov,Ghena Alsaied 대한산업공학회 2020 Industrial Engineeering & Management Systems Vol.19 No.4
As a widely used method, regression analysis plays an increasingly important role in creating statistical models and making forecasts in the field of economics and finance. The use of traditional regression for modeling socio-economic processes is not sufficiently substantiated in some situations. Currently, a new direction is being actively developed, associated with fuzzy regression analysis and its application as an alternative to classical methods for modeling economic phenomena. Fuzzy regression methods are based on the theory of fuzzy sets. A number of methods and their modifications are proposed for constructing fuzzy regression models, but most of them use triangular fuzzy symmetric numbers. In this paper, we propose a new method for constructing linear fuzzy regression using trapezoidal fuzzy numbers. The method is based on dividing the sample using a regression model which is estimated by using the ordinary least squares. Two fuzzy regressions using triangular numbers are estimated from the formed samples, on the basis of which a fuzzy model with trapezoidal fuzzy numbers is constructed. Basing on the proposed method, a linear fuzzy model of the gross regional product as an indicator of the economic development of the Republic of Tatarstan of Russia is constructed depending on a number of factors. A comparative assessment of the quality of fuzzy regression models using triangular and trapezoidal numbers was performed.
Integration of microbial and chemical processing for a sustainable metallurgy
Ilyas, Sadia,Kim, Min‐,seuk,Lee, Jae‐,chun John WileySons, Ltd 2018 Journal of chemical technology and biotechnology Vol.93 No.2
<P>Bioprocessing for the recovery of metal from divergent resources using the microbial strategy has emerged as a green technology in metallurgical operations. The limitations to maintain the ideal condition for bacterial growth with slow kinetics, however, have been considered as major obstacles to bioprocessing being implemented more widely. This can be overcome by integrating the microbes with a chemical processing route. The available reports on recent developments in hybrid bio-chemical processing of both primary and secondary resources have presented promising results, exhibiting the potential for use in large-scale metallurgy. In this context, reviewing the factors of the hybrid process would benefit from knowledge acquired in fundamental studies. The present review focuses on bio-chemical process integration using eco-friendly design tools for treating the difficult to extract resources and complex spent materials as well. Furthermore, the potential of hybrid technology has been evaluated by establishing an economic model as a case study which encompasses features of economic development, environmental consideration and societal matters to achieve process sustainability. (c) 2017 Society of Chemical Industry</P>
Ilyas, Afshan,Ayyub, Mohammad,Khan, M. Rizwan,Husain, Mohammed Aslam,Jain, Abhinandan The Korean Institute of Electrical and Electronic 2018 Transactions on Electrical and Electronic Material Vol.19 No.3
Solar photovoltaic systems have evolved as a prominent renewable source of energy owing to its eco-friendly nature, long lifetime, and low maintenance requirement. However, its conversion efficiency is very low. Different maximum power point tracking (MPPT) techniques have been used to extract maximum power from the photovoltaic system. In this study, the perturb and observe (P&O) MPPT algorithm, which is practically implemented on an Arduino Uno board and simulated in Matlab/Simulink under the same environmental conditions, is used to track the maximum power. Different parameters of a Simulink-based PV module and a practical photovoltaic module are obtained and compared. The main advantages of the P&O MPPT algorithm are its low cost and easy implementation. However, it may fail to track the maximum operating point under varying environmental conditions.
Ilyas Masudin,Yudha Firmansyah,Dana Marsetiya Utama,Dian Palupi Restuputri,Evan Lau 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.3
This study aims to control several decision variables, namely the frequency of ordering raw materials (m), the frequency of delivery of finished products (n), and the production cycle time (T) to maximize the total profit per unit time of the inventory-production integration system. The method used for this study is the optimization of mathematical models with non-linear equations. To optimize the model used MATLAB software by utilizing a genetic algorithm (GA) tool. The output of this research is the proposed policy in managing inventory-production. The results of numerical calculations show that the research model policy provides a better total profit than the company’s policies. This research develops the integrated inventory-production (IIP) model considering imperfect quality (products return). Model performance is measured based on the total profit of the inventory-production integration system