About this journal
Aims and scope
Established in 1961, the International Journal of Production Research (IJPR) is a leading journal in the areas of manufacturing, industrial engineering, operations research and management science.
The International Journal of Production Research aims to disseminate research on decision aid in manufacturing, operations management and logistics.
The International Journal of Production Research publishes convincing scientific results with clear, real-life applications as well as fundamental techniques developed in computer, decision and mathematical sciences to solve complex decision problems that arise in design, measurement, management and control of production and logistics systems.
The International Journal of Production Research covers the following topics:
- Design of products and manufacturing processes
- Production system and supply network engineering
- Essential behaviour of production resources and systems
- Production strategies and related economics issues
- Production policy formulation and evaluation
- Production planning and scheduling
- Contribution of new technologies to production and logistics
- Applications of production research to services
The journal seeks original research articles, discussion or technical notes, and review articles presenting the state of the art.
The journal operates a single-anonymized peer review policy. Authors can choose to publish gold open access in this journal.
Journal metrics
Usage
- 1.8M annual downloads/views
Citation metrics
- 7.0 (2023) Impact Factor
- Q1 Impact Factor Best Quartile
- 8.3 (2023) 5 year IF
- 19.2 (2023) CiteScore (Scopus)
- Q1 CiteScore Best Quartile
- 2.724 (2023) SNIP
- 2.668 (2023) SJR
Speed/acceptance
- 6 days avg. from submission to first decision
- 62 days avg. from submission to first post-review decision
- 13 days avg. from acceptance to online publication
- 12% 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:
Alexandre Dolgui, IMT Atlantique, France
La Chantrerie, 4, rue Alfred Kastler, - B.P. 20722, F-44307 Nantes Cedex 3
Associate Editors:
Adaptive Supply Networks, Resilience and Disruption Management
Dmitry Ivanov, Berlin School of Economics and Law, Germany
Automated Systems, Simulation-based Optimization and Reliability Issues
Zhibin Jiang, Shanghai Jiao Tong University, China
Circular manufacturing, Remanufacturing, Sharing manufacturing, Inverse and Green logistics
Feng Chu, University of Paris-Saclay, France
Cloud Manufacturing, Cyber-physical and Sustainable Production Systems
Lihui Wang, KTH Royal Institute of Technology, Sweden
Cross-dock Scheduling, Bin Packing and Load Balancing
Feifeng Zheng, Donghua University, China
Design of Manufacturing/Assembly Systems
Manoj Kumar Tiwari, Indian institute of Management Mumbai, India
Forecasting and Inventory Management
Zied Babai, Kedge Business School, France
Game Theory Applications in Production Systems and Logistics
Salar Ghamat, Wilfrid Laurier University, Canada
Global Supply Chain Management Strategy and New Product Development
Jayanth Jayaram, University of Oklahoma, USA
Healthcare and Services Engineering
Xiaolan Xie, Ecole des Mines de St Etienne, France
Human Factors in Production Research
Fabio Sgarbossa, Norwegian University of Science and Technology, Norway
Information Systems and Knowledge Management
Ali Siadat, Arts et Métiers ParisTech, France
Locational Analysis, Warehousing and Transportation
Lixin Tang, Northeastern University, China
Manufacturing and Warehousing with Machine Learning
Hyun-Jung Kim, Korea Advanced Institute of Science and Technology, South Korea
Optimization and Machine Learning in Manufacturing and Design
Rahul Rai, Clemson University, USA
Performance Analysis and Continuous Improvement
Jingshan Li, Tsinghua University, China
Prescriptive Analytics and Optimization Under Uncertainty
Yossiri Adulyasak, HEC Montreal, Canada
Pricing, Consumer Behavior and Supply Chain Modeling
Hubert Pun,Western University, Canada
Risk Analysis and Analytics
Desheng Dash Wu, University of Chinese Academy of Sciences, China
Robust Planning and Scheduling in Smart Manufacturing and Supply Networks
El-Houssaine Aghezzaf, Ghent University, Belgium
Scheduling and Discrete Optimization
Frank Werner, University of Magdeburg, Germany
Supply Chain Management and Information Systems
S. C. Lenny Koh, University of Sheffield, UK
Sustainable Operations and Supply Chain Management
Kannan Govindan, The University of Adelaide, Australia
Editorial Board:
Georges Abdul-Nour, Université du Québec à Trois Rivières, Canada
Ali Allahverdi, Gazi University, Turkey
Ronald Askin, Arizona State University, USA
Miryam Barad, Tel-Aviv University, Israel
Jonathan F. Bard, The University of Texas at Austin, USA
Daria Battini, University of Padova, Italy
Saif Benjaafar, University of Minnesota, USA
Bopaya Bidanda, University of Pittsburgh, USA
Jennifer V. Blackhurst, University of Iowa, USA
Fayez Boctor, Université Laval, Canada
Felix T. S. Chan, Macau University of Science and Technology, Macau
Chengbin Chu, COSYS-GRETTIA, ESIEE Paris, France
Jason Choi, Hong Kong Polytechnic University, Hong Kong
George Chryssolouris, University of Patras, Greece
Pius J. Egbelu, New Jersey Institute of Technology, USA
Hoda A. ElMaraghy, University of Windsor, Canada
Elsayed A. Elsayed, Rutgers State University, USA
Stanley B. Gershwin, Massachusetts Institute of Technology, USA
Joseph Geunes, Texas A&M University, USA
Boaz Golany, Technion, Israel
Stephen C. Graves, Massachusetts Institute of Technology, USA
Robert W. Grubbström, Linköping Institute of Technology, Sweden
Angappa Gunasekaran, California State University, USA
Surendra M. Gupta, Northeastern University, USA
Oleg Gusikhin, Ford Motor Company, USA
George Q. Huang, University of Hong Kong, Hong Kong
Phil Kaminsky, University of California, Berkeley, USA
Dimitris Kiritsis, Ecole Polytechnique Fédérale de Lausanne, Switzerland
Rainer Kolisch, Technical University of Munich, Germany
Yoram Koren, Michigan University, USA
René de Koster, Erasmus University Rotterdam, Netherlands
Panos Kouvelis, Washington University in St. Louis, USA
Andrew Kusiak, University of Iowa, USA
Genrikh M.Levin, National Academy of Sciences, Belarus
Semyon M. Meerkov, University of Michigan, USA
Steven A. Melnyk, Michigan State University, USA
Stefan Minner, Technical University of Munich, Germany
Benoit Montreuil, Georgia Institute of Technology, USA
Reinaldo Morabito, Universidade Federal de São Carlos, Brasil
Dimitris Mourtzis, University of Patras, Greece
Rakesh Nagi, Singapore University of Technology and Design (SUTD), Singapore
Andrew Y. C. Nee, National University of Singapore, Singapore
Shimon Y. Nof, Purdue University, USA
Chris O'Brien, Nottingham University, UK
Jan Olhager, Lund University, Sweden
José F. Oliveira, University of Porto, Portugal
David L. Olson, University of Nebraska-Lincoln, USA
Chrissoleon H. T. Papadopoulos, Aristotle University of Thessaloniki, Greece
Erwin Pesch, University of Siegen, Germany
Michael Pinedo, Stern School of Business, New York University, USA
Vittal Prabhu, Pennsylvania State University, USA
Joseph Sarkis, Worcester Polytechnic Institute, USA
Tadeusz Sawik, Reykjavik University, Iceland
Suresh P. Sethi, University of Texas at Dallas, USA
David Simchi-Levi, Massachusetts Institute of Technology, USA
Amrik Sohal, Monash University, Australia
Mark Spearman, Factory Physics Inc., USA
Kathryn E. Stecke, University of Texas at Dallas, USA
Katsuhiko Takahashi, Hiroshima University, Japan
Srinivas Talluri, Michigan State University, USA
Reha Uzsoy, NC State University, USA
Luk N. Van Wassenhove, INSEAD, France
Agostino Villa, Politechnico di Torino, Italy
Xun W. Xu, University of Auckland, New Zealand
Shanlin Yang, Hefei University of Technology, China
Abstracting and indexing
The International Journal of Production Research is indexed in:
British Library Inside
Cabell’s Management Directory
Cambridge Scientific Abstracts
CLOCKSS
DBLP: computer science bibliography
EBSCO Databases
Ei Compendex (Engineering Village)
Electronic Collections Online
Engineering Information Inc
INSEAD
INSPEC®
International Abstracts in Operations Research
ISI CompuMath Citation Index®
Current Contents®: Engineering, Computing and Technology
Science Citation Index®
Science Citation Index Expanded®
New Jour
OCLC ArticleFirst
Portico
Recent Advances in Manufacturing Database (RAM)
Scopus
Zentralblatt MATH/Mathematics Abstracts
Zetoc
Open access
International Journal of Production Research 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)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
Use our APC finder to calculate your article publishing charge
News, offers and calls for papers
News and offers
24 issues per year
Associated with:
- Production & Manufacturing Research: An Open Access Journal (2013 - current)
Resilient, Human-Centric, and Sustainable Manufacturing Systems towards Industry 5.0
Deadline: December 31st, 2024
The use of Emerging Technologies and Analytics for Sustainable Crisis Management
Deadline: December 31st, 2024
Supply Chain Forecasting: A Special Issue in Memory of Professor John E. Boylan, 1959-2023
Deadline: December 25th, 2024
Crowd intelligence driven resilient production and operations management
Deadline: December 1st, 2024
Additive Manufacturing for Operations and Supply Chain Management
Deadline: November 15th, 2024
The Application of Generative AI in Logistics, Supply Chain Management and Manufacturing
Deadline: November 15th, 2024
Digital Twin Transition for Intelligent and Resilient Industrial Systems
Deadline: September 30th, 2024
Warehousing 5.0 for the Future of the Logistics Industry
Deadline: September 30th, 2024
Sustainable manufacturing using Zero Defect Manufacturing
Deadline: September 1st, 2024
Carbon trade finance: a perspective of supply chain management
Extended Deadline: August 31st, 2024
Internet of Things, Internet of Behaviors and Industry 5.0
[closed]
Multistakeholder Production and Logistics Management through Blockchain Technology Applications
[closed]
Stress Tests for Supply Chains: Towards Viable Supply Chain Designs
[closed]
Advertising information
Would you like to advertise in International Journal of Production Research?
Reach an engaged target audience and position your brand alongside authoritative peer-reviewed research by advertising in International Journal of Production Research.
Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Taylor & Francis, our agents (including the editor, any member of the editorial team or editorial board, and any guest editors), and our licensors, make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .
Ready to submit?
Start a new submission or continue a submission in progress
Go to submission site (link opens in a new window) Instructions for authors