Nowadays, due to the transition from the old economic model to the global village constituting patterns, different functional requirements are needed. In other words, for success in the modern production management, strategic decisions must create the conditions for taking new systems for enterprises and create conditions for the competitiveness of manufacturing firms. This paper presents a survey on diagnosing barriers to make strategic decisions in a manufacturing firm named Pakshoo company in city of Tehran, Iran. The study tries to find the obstacles for the implementation of strategic decisions in this firm. The study determines 14 different factors influencing on the development of strategic planning and using analytical hierarchy process, prioritize them, accordingly. In our survey, behavioral factors are considered as the most important factors followed by structural and context issues.
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.
In this paper, we present a hybrid method of game theory and dynamic systems to study the behavior of firms in an oligopoly market. The aim of this study is to build a model for an oligopoly game on the basis of feedback loops and system dynamics approach and to solve the resulted problems under some special conditions where traditional game theory methods are unable to handle. The method includes a combination of qualitative methods including interviews with industry experts to prepare the model and quantitative methods of system dynamics, simulation methodologies and game theory. The results indicate that competitive behavior and the important parameters such as volume of demand, interest rates and price fluctuation will be stabilized after a transition period.
Absenteeism is a major challenge for any organization in the current competitive world. Curbing absenteeism helps organizations achieve their targets and increases productivity. This study highlights the major causes of absenteeism in the production division of a garment industry under various dimensions, which influence on absenteeism like work environment, organizational culture, relation and co-operation, compensation and rewards, facilities, job satisfactory and security, and general factors. The Study helps to identify reasons for employee absenteeism in production division. Sample of 180 employees responses were considered for the study from the universe and the data were analysed, statistically. The study shows that the major factors like wages, other source of income, and bad relationship with supervisors were contributing to the major absence of employees from work. This clearly indicates that work environment, relation and co-operation, facilities provided by the organization and job satisfaction were the main components which are causing the employee absenteeism.
The main purpose of this research work is to present a reliability analysis of a two dissimilar parallel unit framework under the presumption that a framework’s unit may also fail during the preventive maintenance (PM). Only one repair man is available with the system. It has been assumed that he is well capable of doing every repair work including preventive maintenance. Here in this work we have assumed that failure and repair times of each unit are correlated. Utilizing regenerative point strategy different reliability attributes are obtained which are very much helpful to system/ framework designers and company managers. Graphical practices of mean time to system failure and profit/cost function have been studied.
Two sets of nine different silicon carbide particulate (SiCp) reinforced Al 7075 Metal Matrix Composites (MMCs) were fabricated using liquid metallurgy stir casting process. Mean particle size and weight percentage of the reinforcement were varied according to Taguchi L9 Design of Experiments (DOE). One set of the cast composites were then heat treated to T6 condition. Optical micrographs of the MMCs reveal consistent dispersion of reinforcements in the matrix phase. Mechanical properties were determined for both as-cast and heat treated MMCs for comparison of the experimental results. Linear regression models were developed for mechanical properties of the heat treated MMCs using list square method of regression analysis. The fabrication process parameters were then optimized using Taguchi based grey relational analysis for the multiple mechanical properties of the heat treated MMCs. The largest value of mean grey relational grade was obtained for the composite with mean particle size 6.18 µm and 25 weight % of reinforcement. The optimal combination of process parameters were then verified through confirmation experiments, which resulted 42% of improvement in the grey relational grade. Finally, the percentage of contribution of each process parameter on the multiple performance characteristics was calculated through Analysis of Variance (ANOVA).
Small and medium enterprises (SMEs) are believed the most important components of today’s businesses and they can boost the growth of economy. This paper presents an empirical investigation to identify and rank important factors influencing on entrepreneurial marketing to facilitate exports of SMEs. The study designs a questionnaire in Likert scale and distributes it among 387 randomly selected entrepreneurs who act as managers of some SMEs in city of Tehran, Iran. Cronbach alpha is calculated as 0.873, which is well above the acceptable level. Using principle component analysis, the study has determined four factors including competitive intelligence, competitive advantage, external factors and internal factors to facilitate the export of SMEs.
Productivity is an indicator of efficiency with which resources, both human and material, are transformed into useful services and goods. The vital purpose of the prevailing work was to analyze the factors involved in the improvement of productivity in all its types such as material, capital, labor, machine and total productivity at the plant. This was obtained by decreasing the manufacturing cost per component by reducing its cycle time and increasing the monthly production rate. The experimentation revealed that using proposed processes and improved tooling, monthly production rate has increased by 16.2% due to reduced cycle time, the number of defected components i.e. rejection rate has reduced up to 2%. A reduction of 6.78% in manufacturing cost per component was recorded. Tooling cost has reduced by more than 12%. Saving up to 50% in inspection cost has been recorded due to close dimensional tolerances and high surface finish achieved on components. An increase of 4.84% was recorded in total productivity.
The current research copes with the optimization of the surface heat transfer coefficients of a square mild steel test specimen by spray impingement cooling. A laboratory scale experimental setup was developed at School of Mechanical Engineering KIIT University, Odisha, India to investigate the role of various process parameters to enhance the heat transfer from the surface of the heated steal specimen. The mild steel plates of dimension 120 mm × 120 mm, and different thicknesses of 4 mm, 6 mm and 8 mm were used in the experiment. The effect of the process parameters such as thickness of the tested plate, nozzle to plate distance, air and water pressure upon the surface heat transfer coefficient (HTC) was optimized. The optimization of the controlling parameters was carried out by using the desirability functions. The Design Expert 8 software was used to analyze the experimental results. A new correlation was developed for optimization of the surface heat transfer coefficient.