Inconel 718 is among difficult to machine materials because of its abrasiveness and high strength even at high temperature. This alloy is mainly used in aircraft and aerospace industries. Therefore, it is very important to reveal and evaluate cutting tools behavior during machining of this kind of alloy. The experimental study presented in this research work has been carried out in order to elucidate surface roughness and productivity mathematical models during turning of Inconel 718 superalloy (35 HRC) with SiC Whisker ceramic tool at various cutting parameters (depth of cut, feed rate, cutting speed and radius nose). A small central composite design (SCCD) including 16 basics runs replicated three times (48 runs), was adopted and graphically evaluated using Fraction of design space (FDS) graph, completed by a statistical analysis of variance (ANOVA). Mathematical models for surface roughness and productivity were developed and normality was improved using the Box-Cox transformation. Results show that surface roughness criterion Ra was mainly influenced by cutting speed, radius nose and feed rate, and that the depth of cut had major effect on productivity. Finally, ranges of optimized cutting conditions were proposed for serial industrial production. Industrial benefit was illustrated in terms of high surface quality accompanied with high productivity. Indeed, results show that the use of optimal cutting condition had an industrial benefit to 46.9 % as an improvement in surface quality Ra and 160.54 % in productivity MRR.
Monitoring productivity of economic sections of a country would be an important step towards a reliable planning. Developmental decisions based on weaknesses and strengths will guarantee effectiveness, since it will lead to an effective allocation of resources. Among performance measurement approaches, the Data envelopment analysis (DEA), is a model that measures and reports excesses and deficits via analyzing input and output aspects. Aid of this exact and dis-criminating measurement, a proper DEA model applied in this study, can be an efficient instru-ment in fields which need scrutinizing analyses. Industrial productivity analysis of a country is one of such fields. This study applies an instrument developed based on the DEA approach for measuring the industrial productivity of the country. The results obtained, may pave the path for policy-making for economic growth in such a way that enables an effective resources allocation. The applied instrument is a weighted additive model, for which a sufficient number of yearly pe-riods are considered as decision making units (DMUs). The weights included in the model are driven by executing an analytical hierarchy process. After running the model the results demon-strate excesses and deficits in each DMU which can illuminate not only the past performance but also help to plan for the future policies.
Nickel based super alloys are excellent for several applications and mainly in structural components submitted to high temperatures owing to their high strength to weight ratio, good corrosion resistance and metallurgical stability such as in cases of jet engine and gas turbine components. The current work presents the experimental investigations of the cutting parameters effects (cutting speed, depth of cut and feed rate) on the surface roughness, cutting force components, productivity and power consumption during dry conditions in straight turning using coated carbide tool. The mathematical models for output parameters have been developed using Box-Behnken design with 15 runs and Box-Cox transformation was used for improving normality. The results of the analysis have shown that the surface finish was statistically sensitive to the feed rate and cutting speed with the contribution of 43.58% and 23.85% respectively, while depth of cut had the greatest effect on the evolution of cutting force components with the contribution of 79.87% for feed force, 66.92% for radial force and 66.26% for tangential force. Multi-objective optimization procedure allowed minimizing roughness Ra, cutting forces and power consumption and maximizing material removal rate using desirability approach.
The objective of the present study is to investigate the effect of knowledge management on the productivity of the staff working at Islamic Azad University, Bonab Branch. The study uses knowledge management based on Nonaka and Takeuchi & apos; s theory in four cases of socialization, externalization, combination and internalization of social knowledge. The population of the present study includes all 89 staff working at Islamic Azad University. Regarding the small number of the population, the whole population was selected as the sample, i.e. the census method was used. After collecting questionnaires, the obtained information were summarize and categorized using descriptive statistics and to test research hypotheses, bivariate regression was used. The present study employs a survey research for collecting data and it is an applied research in terms of objective. The results indicate that knowledge management and its dimensions are effective on the productivity of the staff working at Islamic Azad University.
This research aims at examining effective factors on improvement of human forces & apos; productivity and determining degree of influence and importance of each group among factors including workshop equipment and arrangement in organization, system of control and supervision on employees, degree of employees training, occupational value of employees and at last, administrating meritocracy system on improvement of human forces & apos; productivity. Statistical population is composed of bureau of naval operations & apos; employees in oil terminals & apos; company in Khark, Iran. Statistical population has been 230, among which 135 people were determined as statistical sample size using Cochran formula. Survey instrument in this research has been questionnaire, according to which employees & apos; ideas about effective factors on employees & apos; productivity were evaluated. These questionnaires completed by people among statistical sample contain 16 close questions which were set up according to Likert 5-grade scale and were distributed as 135 numbers that after returning questionnaire, statistical analysis and data processing were accomplished. Analysis was performed in 2 descriptive and inferential statistics levels. Results of data analysis show that: A) 5-fold factors under review “workshop equipment and arrangement of organization, system of control and supervision on employees, degree of employees training, occupational value of employees and administrating meritocracy related to human resources by management” have had effects on improvement of employees & apos; productivity as average. B) degree of employees training and then occupational value of employees and administrating meritocracy system have had the most influence, and workshop equipment and arrangement of organization and system of control and supervision on employees have had the least influence.
This paper presents an empirical investigation to study the impact of the implementations of the recent advances on technology on total factor productivity improvement (TFP) of some Iranian insurance firms over the period 2008-2012. The study considers the number of information and communication technology (ICT) employees, insurance treaty and the number of computers used together with online users as technology advancement. Using generalized least square technique, the study has determined a positive and meaningful impact of the number of research and development employees as well as the number of personal computers together with online users on TFP improvement. However, the numbers of ICT employees and insurance treaty have no significant impact on TFP improvement.
Nowadays teleworking has become a useful technique for business development and improving employees’ quality of life. Many people are now able to stay at home and do their daily job activities without bothering to wear formal closes. This paper presents an empirical investigation to study the effect of teleworking on quality of life using Walton (1976) method [Walton, R. E. (1973). Quality of working life-what is it. Sloan Management Review, 15(1), 11-21.]. The variables of quality of working-life according to Walton Model are: “Adequate and fair compensation”, “Safe and Healthy Working conditions”, “Opportunity for Continued Growth and Security”, “The Social Relevance of Work Life”, “Total Life Space”, “Social Integration in the Work”, “Constitutionalism in the work Organization”, “Human Progress Capabilities”. Using different statistical tests, the study indicate that teleworking had significant positive relationship with Quality of Working-Life components. The study also reports that different personal characteristics such as age, gender had no meaningful impact on teleworking.
Human resources development is one of the most important components of any organization and detecting important factors influencing on human resources management plays essential role on the success of the firms. In this paper, we present an empirical investigation to determine different factors influencing productivity of human resources of Islamic Republic of Iran Broadcasting (IRIB) in province of Mazandaran, Iran. The study uses analytical hierarchy process (AHP) to rank 17 important factors and determines that personal characteristics were the most important factors followed by management related factors and environmental factors. In terms of personal characteristics, job satisfaction plays essential role on human resources development. In terms of managerial factors, paying attention on continuous job improvement by receiving appropriate training is the most important factor followed by welfare facilities for employees and using a system of reward/punishment in organization. Finally, in terms of environmental factors, occupational safety is number one priority followed by organizational rules and regulations.
This study investigates the relationship between organizational culture and productivity in one of Iranian Gas distribution companies. The proposed study designs a questionnaire and distributes it among 78 out of 120 managers who worked for this organization. The study uses correlation ratio to examine the relationship between different components of the survey. The results of our survey indicate that there were positive and meaningful relationship between organizational culture and productivity where Spearman and Pearson correlations between these two components were 0.637 and 0.635 with P & LT; 0.01. In addition, the study has found some positive and meaningful relationship between different components of organizational culture and productivity; namely creativity, accepting risk, support, integration, control, identification and reward policy and communication.
Experiences of developed countries and various studies in the context of economic growth of developing countries have shown that economic growth is not only explained by physical capital and labor force but also, and more importantly, by human capital. The later variable should be entered, as a major determinant, in the endogenous growth model. With the concern of important role of human capital in this research, the primary objective of this paper is to explore the effect of gender discrimination of human capital on economic growth and factor productivity in Iran and the selected OECD countries. More specifically, to indicate the economic capability of educated females, we use data of the considered countries over the period 1974-2008, to estimate the relevant models of growth and productivity. The implication is to compare the empirical results obtained for Iran and the selected developed countries.