System Engineering and Productivity

System Engineering and Productivity

Aims and Scope

The main objective of the System Engineering and Productivity Journal is to focus on research related to improving management systems and increasing the productivity of organizations. This area includes the study and improvement of organizational processes, optimizing resources, improving the quality of products and services, and applying innovation in management. Other topics of the journal are as follows:

  • Advancing knowledge of system management and productivity: Promoting and expanding knowledge in the areas of system management, productivity engineering, operations management, and process improvement.
  • Providing practical solutions: Publishing research that is not only theoretically rich, but also provides practical and innovative solutions to real challenges of organizations and industries.
  • Providing a platform for researchers and managers: Creating a scientific platform where researchers, managers, and experts can share their knowledge, experiences, and findings with others.
  • Promoting a culture of productivity and continuous improvement: Encouraging organizations and managers to adopt and implement the concepts of productivity and continuous improvement in their organizations

 

Visions of the journal:

  • Scientific authority in the field of system management and productivity: Becoming a reliable and influential source that researchers and professionals around the world refer to.
  • Promoting innovation in management and productivity: Promoting innovative methods and strategies for better management and higher productivity at the level of various organizations and industries
  • Strengthening international cooperation networks: Attracting articles from researchers from around the world and promoting scientific and specialized cooperation between researchers and international organizations
  • Advancing multidisciplinary research: Expanding research boundaries by encouraging interdisciplinary and innovative research that can be effective in solving multifaceted challenges of management and productivity.
  • Assisting in policymaking in the field of productivity: Becoming an important resource for policymakers and managers to improve productivity policies and strategies at the national and international levels.

These goals and perspectives can help develop knowledge and continuously improve the performance of organizations and industries, and ultimately lead to sustainable productivity and greater competitiveness in the global market. Therefore, it is hoped that this journal will improve the scientific level of researchers in the country. In order to achieve this goal, researchers are encouraged to submit their valid and unpublished articles to this journal. This journal only reviews articles in Persian. Articles will be submitted for review that are within the defined topics of the journal and have complied with the journal’s writing and structural rules and conditions. After receiving satisfactory review results, the editorial board will make an opinion on accepting, rejecting the article, or continuing the review process. The submitted article should not have been published in any domestic or foreign journals or be under review.

 

Topic of the Journal of System Engineering and Productivity:

This journal publishes original research articles within the broad domain of system engineering and productivity focusing on (but not limited to) the following topics:

  • Systems Engineering and Systems Thinking
    • Systems engineering
    • Complex systems and multi-agent systems
    • Systems thinking and strategic thinking

 

  • Productivity, Performance Improvement and Quality Management
    • Organizational productivity and performance improvement
    • Quality management and quality modeling
    • Process improvement and organizational excellence

 

  • Information Systems, Data and Decision Support
    • Data mining and data management
    • Information systems and decision support systems
    • Intelligent decision-making systems

 

  • Risk, Reliability and Networks
    • Risk management and uncertainty
    • Network reliability and social networks

 

  • Intelligent Systems, Industry 4.0 and Emerging Technologies
    • Intelligent and multi-agent systems
    • Industrial Internet of Things (IIoT) and smart factories
    • Collaborative robotics (cobotics) and human–machine interaction

 

  • Sustainable Industrial Engineering and Circular Economy
    • Sustainable industrial engineering
    • Circular economy and resource management for sustainability

 

  • Knowledge Management and Entrepreneurship
    • Knowledge management and organizational learning
    • Entrepreneurial management and innovation in industrial and service sectors