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Using the accurate methods and tools for evaluation of function in different areas is of great importance. In recent years, much more studies have been done on the nature and methodology of function evaluation in organizations and its improvement. This study aimed to evaluate and improve the function of production line through computer simulation in one of the iron foundries in Iran. For this purpose, at first data has been gathered on the basis of timing with chronometer for each one of the production line machineries and using this data, distribution functions governing the activity cycle of each one of these machineries have been determined; and then, using the required gathered data for computer simulation (taking the advantage of “ED” simulation software), a model was simulated to introduce the current situation of production line and the validity of simulated model was measured on the basis of production rate. And then, considering the criteria such as the production rate, average waiting time, machine utilization coefficient, production yield, production cost, production income and the production time production line function was evaluated. Finally, applying amendment changes on the simulated model improved model was offered.
Personality traits and adaptive behavior are central issues in research on call center performance. However, the current literature offers little guidance on the relationship between personality traits and adaptive behavior and how they work together to enhance employee performance. This study investigates the mediating role of adaptive behavior between Five-Factor traits and employee performance with customers. Empirical evidence from a Canadian call center supports this proposition for three Five-Factor traits. Managerial implications are discussed.
A major challenge for analysis of data from
observational and survey studies is dealing with model mis-specification. A common reason for model
mis-specification is the violation of the independence assumption. Model mis-specification is frequently due to the
inclusion of variables that
are correlated with the error terms (serial correlation) or due to variables
omitted from the study. The application
of standard regression models to such data could lead to over inflated results, i.e. erroneous results, and misleading conclusions.
Longitudinally designed studies make substantial improvements and provide an additional handle to control omitted variables.
However, even with longitudinal data, model mis-specification could occur because of the
nature of observations, i.e. surveys
often include objectively as well as subjectively measured variables.
Subjective variables are respon
Nowadays Quantum Cellular Automata (QCA)
as the leading technology in design of microelectronic systems has been raised.
With respect to high velocity and density in low power and also simple concepts,
this technology is a viable alternative to CMOS technology. In collector design, the primary component of
each processor is very important. Due to the small elements in this technology,
failure rate in manufacturing process technology is very high. In the other hand,
the simulation shows that the intersection point of two wires is one of the critical
points in QCA circuits. This means that defects in the manufacturing process around these
points can cause malfunction in the circuit performance. In this paper, a collector in cross sections of wire in
his new method used higher reliability against defects during manufacturing has been developed. QCA Designer software
is used to simulate the case study system.