This paper presents an empirical investigation for the implementation of enterprise resource planning among 58 production units in province of Ilam, Iran. The proposed study of this paper considers the readiness in terms of six factors including human resources, financial resources, infrastructures, quality control, and information systems and communication technology. Using structural equation modeling, the study examines six hypotheses and the implementation is accomplished on LISREL software package. Cronbach alpha has been calculated as 0.91, which is well above the minimum desirable level. The results of the survey have indicated that all six mentioned factors influence positively on ERP implementation and for a successful implementation of ERP, it is suggested to consider these factors, seriously.

Preparing enterprise architecture is complicated procedure, which uses framework as structure regularity and style as the behavior director for controlling complexity. As in architecture behavior, precedence over structure, for better diagnosis of a behavior than other behaviors, there is a need to evaluate the architecture performance. Enterprise architecture cannot be organized without the benefit of the logical structure. Framework provides a logical structure for classifying architectural output. Among the common architectural framework, the C4ISR is one of the most appropriate frameworks because of the methodology of its production and the level of aggregation capability and minor revisions. C4ISR framework, in three views and by using some documents called product, describes the architecture. In this paper, for developing the systems, there are always uncertainties in information systems and we may use new version of UML called FUZZY-UML, which includes structure and behavior of the system. The proposed model of this paper also uses Fuzzy Petri nets to analyze the developed system.

In this paper, a new mathematical model in cellular manufacturing systems (CMSs) has been presented. In order to increase the performance of manufacturing system, the production quantity of parts has been considered as a decision variable, i.e. each part can be produced and outsourced, simultaneously. This extension would be minimized the unused capacity of machines. The exceptional elements (EEs) are taken into account and would be totally outsourced to the external supplier in order to remove intercellular material handling cost. The problem has been formulated as a mixed-integer programming to minimize the sum of manufacturing variable costs under budget, machines capacity and demand constraints. Also, to evaluate advantages of the model, several illustrative numerical examples have been provided to compare the performance of the proposed model with the available classical approaches in the literature.