About this journal
Aims and scope
Production & Manufacturing Research publishes open access research on manufacturing engineering and technology including industrial engineering and supply chain management. The main goal is to strengthen research on the dual or twin transformation of manufacturing enterprises in the sense of a digital transformation towards smart and intelligent manufacturing and, at the same time, the sustainability transformation to enhance economically, socially and environmentally sustainable processes, factories and value chains. A great attention is paid to how digitalization and advanced technologies can be used as an enabler for more human-centric, sustainable and resilient production. This does not exclude other works that deal with innovative and original production & manufacturing research according to the specific topics listed below.
Topics covered:
- Smart and AI-driven manufacturing and logistics
- Data-driven and knowledge-based production management & planning
- Digital transformation strategies of manufacturing enterprises
- IoT and digital/cognitive twin integration in production and supply chain management
- Resilient manufacturing strategies and supply chains
- Human-centered manufacturing and human-machine interaction
- Advanced and flexible manufacturing and assembly technologies
- Integrated digital and sustainable factory planning
- Green and sustainable manufacturing
- Circular economy and zero waste in manufacturing
- Eco-design of manufacturing systems and life-cycle engineering
- Biological transformation and bio-intelligent manufacturing
- Engineering education for sustainable and smart factories
Production & Manufacturing Research fosters high-quality innovation, debate and collaboration across the field of production and manufacturing, enabling academic and industrial researchers to share their work globally.
Production & Manufacturing Research publishes original articles and reviews. The journal operates a double-anonymized peer review policy.
Journal metrics
Usage
- 195K annual downloads/views
Citation metrics
- 1.9 (2023) Impact Factor
- 2.8 (2023) 5 year IF
- 5.6 (2023) CiteScore (Scopus)
- Q2 CiteScore Best Quartile
- 1.213 (2023) SNIP
- 0.685 (2023) SJR
Speed/acceptance
- 12 days avg. from submission to first decision
- 43 days avg. from submission to first post-review decision
- 9 days avg. from acceptance to online publication
- 26% 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
Erwin Rauch , Free University of Bozen-Bolzano, Italy ( contact)
production management and manufacturing/assembly
Associate Editors
Fazel Ansari , Vienna University of Technology, Austria
AI and intelligent manufacturing
Patrick Dallasega , Free University of Bozen-Bolzano, Italy
production planning and factory planning
Emmanuel Francalanza , University of Malta, Malta
industrial engineering and management
Manuel Woschank , Montanuniversitaet Leoben, Austria
supply chain management and industrial logistics
Editorial Board
Rafiq Ahmad, University of Alberta, Canada
advanced manufacturing technologies, design for X, automation and robotics
Monica Bellgran, KTH Royal Institute of Technology, Sweden
sustainable production, industrial production management, lean and green production
Lyes Benyoucef, Aix-Marseille Université, France
sustainable reconfigurable manufacturing systems, simulation and optimization
Giulia Bruno, Politecnico di Torino, Italy
data mining, semantic ontologies, system modeling and analysis
Idiano D'Adamo, Sapienza University of Rome, Italy
bioeconomy, circular economy, sustainability and waste management
Mélanie Despeisse, Chalmers University of Technology, Sweden
sustainable production, environmental sustainability, circular manufacturing
Olga Fink, EPFL, Switzerland
industrial maintenance, AI in fault detection and diagnostics, digital twin
Luca Fumagalli, Politecnico di Milano, Italy
smart maintenance, digital twin, production scheduling and simulation
Paulina Golinska, Poznan University of Technology, Poland
sustainable logistics, reverse logistics, remanufacturing
Luca Gualtieri, Free University of Bozen-Bolzano, Italy
human-machine collaboration, ergonomics and safety, cognitive ergonomics
Christoph Herrmann, Technische Universität Braunschweig, Germany
sustainability, manufacturing, life cycle engineering, life cycle management
Mahtab Kouhizadeh, University of Rhode Island, USA
sustainable supply chain management, blockchain, operations management
Ang Liu, University of New South Wales, Australia
digital twin, intelligent manufacturing, engineering design
Eric Lutters, University of Twente, Netherlands
information driven product development, digital twin, virtual reality
Antonio Maffei, KTH Royal Institute of Technology, Sweden
sustainable business models, smart and digital production, assembly technology
Peter Nielsen, Aalborg University, Denmark
unmanned aerial vehicles (UAVs), line balancing, scheduling
Vittal Prabhu, The Pennsylvania State University, USA
distributed control in manufacturing, energy efficiency analysis, operations
Robert Pellerin, Ecole Polytechnique de Montréal, Canada
management information systems (ERP, MES, PLM), production control
Goran Putnik, Universidade do Minho, Portugal
design theory, manufacturing systems and enterprises design
Paul Refalo, University of Malta, Malta
sustainable manufacturing, resource efficiency, energy and water management
David Romero, Tecnológico de Monterrey, Mexico
operator 4.0, service engineering and product-service systems, cyber-physical and human systems
Mozafar Saadat, University of Birmingham, UK
intelligent manipulation and assembly, AI in manufacturing, agent-based and holonic manufacturing systems
Sebastian Schlund, TU Wien, Austria
human-machine interaction, assistance systems in production, human centred production
Concetta Semeraro, University of Sharjah, UAE
sustainable manufacturing, digital twin, model-based approaches, industry 5.0
Sebastian Thiede,University of Twente, Netherlands
sustainable manufacturing, cyber-physical production systems, smart manufacturing
Andrea Trianni, University of Technology Sydney, Australia
operations Efficiency, Industrial Energy Efficiency, Industrial sustainability
Dazhong Wu, University of Central Florida, USA
data driven smart manufacturing, cyber-physical systems, additive manufacturing
Thorsten Wuest, West Virginia University, USA
smart manufacturing, AI and ML in manufacturing, digital supply networks
Pai Zheng, The Hong Kong Polytechnic University, Hong Kong
smart manufacturing, smart product-service systems, digital twin
Zude Zhou, Wuhan University of Technology, China
human-robot collaboration, robotic disassembly, remanufacturing
Bernd Zunk, TU Graz, Austria
industrial engineering and management, purchasing and supply management, business economics
Founding Editor
Peter Nielsen, Aalborg University, Denmark
Abstracting and indexing
Production and Manufacturing Research is abstracted and indexed in:
British Library
CLOCKSS
CrossRef
Directory of Open Access Journals (DOAJ)
GoOA
Google Scholar
Ei Compendex (Engineering Village)
Emerging Sources Citation Index (ESCI)
Microsoft Academic
Portico
Scopus
Ulrich's Periodicals Directory
Web of Science
WorldCat Local (OCLC)
Open access
Production & Manufacturing Research is an open access journal and only publishes open access articles. 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)
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. Discounts and waivers may also be available for researchers in selected countries when publishing in open access journals.
Use our APC finder to calculate your article publishing charge
News, offers and calls for papers
Continuous Publication
Associated with:
- International Journal of Production Research (1961 - current)
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