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International Journal of Simulation and Process Modelling | 2023 Cite Score:1.8 | Q4

International Journal of Simulation and Process Modelling With Cite Score

Cite Score and Journal Rank of International Journal of Simulation and Process Modelling

About:

International Journal of Simulation and Process Modelling (IJSPM) is a peer-reviewed journal that focuses on the development and application of simulation and process modeling techniques. The journal addresses a wide range of topics including discrete event simulation, continuous simulation, hybrid simulation, process modeling, and related methodologies. It aims to provide a platform for researchers and practitioners to share their findings, innovations, and experiences in the field of simulation and process modeling.

Objective:

The primary objective of IJSPM is to advance the field of simulation and process modeling by publishing high-quality research that explores new methods, tools, and applications. The journal seeks to provide insights into how simulation and process modeling can be used to optimize and improve systems and processes across various industries, including manufacturing, healthcare, logistics, and more. IJSPM aims to support the development and dissemination of knowledge that enhances the efficiency, effectiveness, and adaptability of processes through simulation and modeling techniques.

Interdisciplinary Approach:

IJSPM adopts an interdisciplinary approach by integrating research from fields such as industrial engineering, operations research, computer science, and management science. This approach ensures a comprehensive exploration of simulation and process modeling from multiple perspectives, including the technical, analytical, and practical aspects. The journal encourages research that draws on various disciplines to provide a holistic view of simulation and process modeling and its impact on system performance and optimization.

Impact:

The journal has a significant impact on the academic and industrial communities by providing a platform for the dissemination of innovative research and practical applications of simulation and process modeling. IJSPM is cited by researchers, engineers, and practitioners interested in the latest advancements in simulation techniques and process optimization. The research published in the journal contributes to the development and improvement of simulation models and methodologies, enhancing their application in real-world scenarios.

Significance:

International Journal of Simulation and Process Modelling plays a crucial role in advancing the understanding and application of simulation and process modeling techniques. Its focus on both theoretical and practical aspects of simulation makes it an essential resource for researchers, engineers, and practitioners. By facilitating the exchange of knowledge and ideas, IJSPM supports the continued innovation and enhancement of simulation and process modeling practices, ultimately contributing to the optimization and improvement of various systems and processes.

Journal Home:  Journal Homepage

Editor-in-Chief:  Prof. Feng Qiao

scope: The International Journal of Simulation and Process Modelling focuses on the advancement of knowledge and practice in the field of simulation and process modeling. Its scope includes, but is not limited to:

Simulation Techniques: Research on various simulation techniques and methodologies, including discrete-event simulation, continuous simulation, agent-based simulation, and hybrid simulation approaches.

Process Modeling: Studies on the development and application of process modeling techniques, including business process modeling, manufacturing process modeling, and service process modeling.

Simulation in Industry: Contributions on the use of simulation in industrial settings, including manufacturing, logistics, supply chain management, and operations management.

Simulation Software and Tools: Research on the development and application of simulation software and tools, including new algorithms, frameworks, and platforms for simulation.

Optimization in Simulation: Studies on the integration of optimization techniques with simulation, including simulation-based optimization, metaheuristics, and multi-objective optimization.

Print ISSN:  1740-2123

Electronic ISSN:  1740-2131

Abstracting and Indexing:  Scopus

Imapct Factor :  

Subject Area and Category:  Computer Science Applications,Mathematics,Applied Mathematics,Modeling and Simulation

Publication Frequency:  

H Index:  23

Best Quartile:

Q1:  

Q2:  

Q3:  

Q4:  Applied Mathematics

Cite Score:  1.8

SNIP:  0.258

Journal Rank(SJR):  0.209

Publisher:  Inderscience Enterprises Ltd.

Country:  United Kingdom