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

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?

  1. Increase the discoverability and readership of your article
  2. Make an impact and reach new readers, not just those with easy access to a research library
  3. Freely share your work with anyone, anywhere
  4. Comply with funding mandates and meet the requirements of your institution, employer or funder
  5. 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

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