Identifying and prioritizing fifth-generation wireless mobile communications (5G) applications in smart manufacturing

The fifth-generation networks of smart manufacturing and smart factory is rapidly evolving as a technology that integrates industrial production and smart Internet, bringing new support for the digital transformation of the industry and the development of a high-quality economy. Therefore, this article, with emphasis on the fifth generation of the Internet and with the aim of identifying 5G-based intelligent manufacturing projects, seeks to prioritize these projects using the hierarchical analysis method. Therefore, after reviewing the literature and interviewing with 17 experts, 5 main criteria for project prioritization were selected and weighted by AHP method using an expert questionnaire. Then, using the opinions of experts, 22 identified smart factory projects were prioritized according to the criteria weight. The criteria were calculated according to the income, cost and risk level of the project. Also Intelligent production line, intelligent logistics, intelligent resource allocation and process automation were identified as the most important intelligent production projects

Effective Mobile Services Acceptance Factors

In recent years, the advancement of information and communication technologies and particularly rapid changes of mobile technologies lead to new applications and services. Furthermore, the possibility of mobile service delivery will change its current applications. Therefore, it is important to identify the user’s acceptance of mobile services; thus, it is necessary to determine the effective acceptance factors and their importance. This paper identified the mobile services acceptance factors. Technology acceptance models were reviewed, and then the related factors were derived. The factors were analyzed with path analysis method for validity assessmen

THE FUZZY EVALUATION OF THE ICT PROJECTS IN STRATEGIC ENVIRONMENT (CASE STUDY: IRAN TELECOMMUNICATION RESEARCH CENTER)

Many criteria should be considered for project selection in Information and Communication Technology (ICT) sectors; while, the resources are limited. Besides, the uncertainty of the selection and evaluation process increases the difficulty of ICT project selection. Therefore, a fuzzy system in combination with fuzzy integer linear programming, fuzzy entropy, and fuzzy numbers have been developed; it smoothes the process of ICT project selection. This fuzzy system is flexible in the project selection for Iran ICT sectors, especially in (Research and Development) R&D sectors. It enhances the accuracy of the evaluation process as it resolves the uncertainty of ICT project selection.ICT project selection, fuzzy integer linear programming, fuzzy system, fuzzy entropy, fuzzy numbers