The Advances in Industrial Engineering (AIE) is an international journal publishing high quality, original papers that contribute to the theory and practice of Industrial Engineering discipline. The main focus of AIE is on quantitative/analytical modeling (e.g. Mathematical Modelling and Optimization techniques) in all areas of Industrial Engineering. AIE Publishes the following types of papers:
a) Theoretical and Methodological Researches: Contains original results contributing to the methodology and to its theoretical foundations,
b) Innovative and Practical Applications: Contains original and novel approaches to solve real problems,
c) Invited Reviews from Editor: Contains comprehensive review over a specific recent years within the scope of Industrial Engineering.
AIE is a journal for researchers and practitioners in industrial engineering, systems engineering, Manufacturing engineering, operations research and management science, industrial and financial management and business. It is also an informative and academic reference for practitioners seeking to improve the efficiency and effectiveness of their systems.
The journal will cover all topics related to Industrial Engineering, including (but not limited to) the following:
The main goal of AIE is to present state of-the-art, high quality original research, and novel developments in all areas of industrial engineering, including both methodological and practical aspects in industry and service sectors, for audiences of academics and practitioners. Moreover, AIE aims to publish new knowledge for improving industrial practices and theoretical developments and to strengthen the methodology base necessary for supporting appropriate decision making.
AIE provides a platform for the dissemination of knowledge, information, and new developments among academics, professionals, researchers, practitioners and policy makers, working in the broad field of industrial engineering discipline.
AIE publishes original full length papers, as well as comprehensive reviews of special areas in the related field invited by Editor. Of course, those case studies and real-world applications using mathematical modelling and optimization techniques are particularly welcomed.
Submission and Review Process
All submitted manuscripts are subject to initial evaluation by the Editor, and, if found suitable for further consideration, to peer review by at least two anonymous expert referees. All peer reviews are single-blinded and submission is online via editorial system supported by the University of Tehran.