About this journal
Aims and scope
International Journal of Management Science and Engineering Management(IJMSEM) is a peer-reviewed quarterly journal that provides an international forum for researchers and practitioners of management science and engineering management. IJMSEM focuses on identifying management science problems in engineering and business, and using innovative management theories and methods to provide solutions. IJMSEM prefers papers with practical background, clear problem description, innovative methods, and successful practical applications.
IJMSEM has 4 sections:
Section A. Production Management, Scheduling and Supply Chain Management;
Section B. Optimization, Operations Management;
Section C. Engineering Management, Decision Making in Engineering;
Section D. Data-Driven Decision Making and Analytics, Big Data Analytics.
Topics covered in IJMSEM include, but are not limited to:
- Civil Engineering Management
- Supply Chain Management
- Optimization Algorithm Design and Applications
- Data-Driven Decision Making
- Uncertain Decision Making
- Project Management
- Transportation Optimization
- Industrial Management and Industrial Engineering
- Risk Management
- Business Analytics Applications
- Decision Support System
- Scheduling and Control
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Journal metrics
Usage
- 28K annual downloads/views
Citation metrics
- 3.0 (2023) Impact Factor
- Q2 Impact Factor Best Quartile
- 2.6 (2023) 5 year IF
- 8.5 (2023) CiteScore (Scopus)
- Q1 CiteScore Best Quartile
- 1.234 (2023) SNIP
- 0.844 (2023) SJR
Speed/acceptance
- 6 days avg. from submission to first decision
- 66 days avg. from submission to first post-review decision
- 16 days avg. from acceptance to online publication
- 5% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors who are deciding where to submit their next manuscript for publication. However, any one metric only tells a part of the story of a journal’s quality and impact. Each metric has its limitations which means that it should never be considered in isolation, and metrics should be used to support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside other qualitative factors such as a journal’s aims & scope, its readership, and a review of past content published in the journal. In addition, a single article should always be assessed on its own merits and never based on the metrics of the journal it was published in.
For more details, please read the Author Services guide to understanding journal metrics.
Journal metrics in brief
Usage and acceptance rate data above are for the last full calendar year and are updated annually in February. Speed data is updated every six months, based on the prior six months. Citation metrics are updated annually mid-year. Please note that some journals do not display all of the following metrics (find out why).
- Usage: the total number of times articles in the journal were viewed by users of Taylor & Francis Online in the previous calendar year, rounded to the nearest thousand.
Citation Metrics
- Impact Factor*: the average number of citations received by articles published in the journal within a two-year window. Only journals in the Clarivate Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts and Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI) have an Impact Factor.
- Impact Factor Best Quartile*: the journal’s highest subject category ranking in the Journal Citation Reports. Q1 = 25% of journals with the highest Impact Factors.
- 5 Year Impact Factor*: the average number of citations received by articles in the journal within a five-year window.
- CiteScore (Scopus)†: the average number of citations received by articles in the journal over a four-year period.
- CiteScore Best Quartile†: the journal’s highest CiteScore ranking in a Scopus subject category. Q1 = 25% of journals with the highest CiteScores.
- SNIP (Source Normalized Impact per Paper): the number of citations per paper in the journal, divided by citation potential in the field.
- SJR (Scimago Journal Rank): Average number of (weighted) citations in one year, divided by the number of articles published in the journal in the previous three years.
Speed/acceptance
- From submission to first decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision. Based on manuscripts receiving a first decision in the last six months.
- From submission to first post-review decision: the average (median) number of days for a manuscript submitted to the journal to receive a first decision if it is sent out for peer review. Based on manuscripts receiving a post-review first decision in the last six months.
- From acceptance to online publication: the average (median) number of days from acceptance of a manuscript to online publication of the Version of Record. Based on articles published in the last six months.
- Acceptance rate: articles accepted for publication by the journal in the previous calendar year as percentage of all papers receiving a final decision.
For more details on the data above, please read the Author Services guide to understanding journal metrics.
*Copyright: Journal Citation Reports®, Clarivate Analytics
†Copyright: CiteScore™, Scopus
Editorial board
Editor in Chief:
Prof. Dr. Dr. Jiuping Xu, Sichuan University, Chengdu, P. R. China
Co-Editor in Chief:
Prof. S. Ejaz Ahmed, Faculty of Mathematics and Science, Brock University, Ontario, Canada
Prof. Hajiyev Asaf, Institute of Cybernetics, National Academy of Sciences of Azerbaijan, Baku, Azerbaijan
Prof. Shavkat Ayupov, Institute of Mathematics and Information Technologies, Academy of Sciences of Uzbekistan, Tashkent, Uzbekistan
Prof. Benjamin Lev, LeBow College of Business, Drexel University, Philadelphia PA, USA
Prof. Mitsuo Gen, Department of Research, Fuzzy Logic Systems Institute, Iizuka, Japan and Research Institute of Science & Technology, Tokyo University of Science, Tokyo, Japan
Standing Members of Editorial Board:
Section A. Production Management, Scheduling and Supply Chain Management
Prof. Borut Buchmeister, Production Engineering Institute, Faculty of Mechanical Engineering, University of Maribor, Slovenia
Prof. YoungSu Yun, Division of Business Administration, Chosun University, Gwangju, South Korea
Prof. Panos M. Pardalos, Department of Industrial and Systems Engineering, University of Florida, Florida, USA
Prof. Erwin Pesch, Faculty III, Chair of Management Information Science, University of Siegen, Siegen, Germany; Center for Advanced Studies in Management, HHL Leipzig, Leipzig, Germany
Prof. Xiaoyang Zhou, School of Economics and Management, Xidian University, Xi’an 710126, P. R. China
Section B. Optimization, Operations Management
Prof. Basem S. Attili, Department of Mathematics, University of Sharjah, Sharjah, United Arab Emirates
Prof. Alain Billionnet, Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise, Evry, France
Prof. Anthony Shun Fung Chiu, John Gokongwei Jr. College of Engineering, De La Salle University, Manila, Philippines
Prof. Celso Ribeiro, Department of Computer Science, Fluminense Federal University, Rio de Janeiro, Brazil
Prof. Vladimir Rykov, Gubkin Russian University of Oil and Gas/Peoples’ Friendship University of Russia, Moscow, Russia
Prof. Xiaoqi Yang, Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, P. R. China
Section C. Engineering Management, Decision Making in Engineering
Prof. Lu Gan, College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Dujiangyan, P. R. China
Prof. Alexander Kuzmin, Faculty of Mathematics and Mechanics, Sankt-Petersburg State University, St. Petersburg, Russia
Prof. Fausto Pedro García Márquez, Department of Business Management, Castilla-La Mancha University, Spain
Prof. Liming Yao, Business School, Sichuan University, Chengdu, P. R. China
Prof. Xueqing (Eric) Zhang, Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, P. R. China
Section D. Data-Driven Decision Making and Analytics, Big Data Analytics
Prof. O'Regan Donal, Department of Mathematics, National University of Ireland, Galway, Ireland
Prof. Bernard Han, Haworth College of Business, Western Michigan University, Kalamazoo, USA
Prof. Shib Sankar Sana, Principal, Kishore Bharati Bhagini Nivedita College(Co-Ed), Behala, Kolkata, India
Prof. Nozer D. Singpurwalla, Columbian College of Arts and Sciences, The George Washington University, Washington, D.C., USA and Department of Systems Engineering and Engineering Management, and Department of Management Science, City University of Hong Kong, Hong Kong, P. R. China
Prof. Jun Zhuang, Decision, Risk & Data Laboratory, Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York, Buffalo, USA
Managing Editor:
Prof. Zongmin Li, Business School, Sichuan University, P. R. China
Email: [email protected]
Abstracting and indexing
International Journal of Management Science and Engineering Management is currently indexed in Emerging Sources Citation Index and Scopus.
Open access
International Journal of Management Science and Engineering Management is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
- Increase the discoverability and readership of your article
- Make an impact and reach new readers, not just those with easy access to a research library
- Freely share your work with anyone, anywhere
- Comply with funding mandates and meet the requirements of your institution, employer or funder
- Rigorous peer review for every open access article
Article Publishing Charges (APC)
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Use our APC finder to calculate your article publishing charge
News, offers and calls for papers
Calls for papers
Society information
The International Society of Management Science and Engineering Management (ISMSEM) was established to foster international research collaborations in management science and engineering management. The primary objectives of ISMSEM are to support academic events and activities pertaining to research in this field and to organize the International Conference on Management Science and Engineering Management.
For more information, please visit ISMSEM's homepage.
4 issues per year
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