Academic Journal
Quartile not availableProcedia Manufacturing
About Procedia Manufacturing
About Procedia Manufacturing
Procedia Manufacturing is a peer-reviewed scholarly journal published by Elsevier BV.
Key indicators: ISSN 23519789.
Understanding This Journal's Metrics
Journal metrics help researchers assess fit, but they must be interpreted in context:
Publishing in Procedia Manufacturing
When considering this journal, verify its current indexing status, editorial board, and recent publications to ensure it meets your needs for visibility and credibility.
- Author guidelines: Follow formatting, reference style, and article-type requirements exactly — non-compliant manuscripts may be returned without review.
- Submission: Submit via the official journal website.
Is This Journal Right for Your Paper?
- Audience match: Will the journal's readers cite and build on your findings?
- Timeline: Higher-tier journals mean longer review and higher rejection risk. Balance prestige against your schedule.
- Indexing: Confirm indexing in Web of Science, Scopus, and PubMed (if biomedical) meets your institutional requirements.
- Open access needs: Check funder mandates and whether the journal offers compliant OA options.
Frequently Asked Questions
What is the ISSN of Procedia Manufacturing?
23519789.
Who publishes Procedia Manufacturing?
Elsevier BV.
Where do I submit to Procedia Manufacturing?
Via the official website.
Is Procedia Manufacturing peer-reviewed?
Yes — it is a peer-reviewed scholarly journal indexed in major academic databases.
Journal Metrics
A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Panorama Image Based Code-Free Programming of Robotic Operations
Alexander Viktor Pöschl, Markus Ikeda, Andreas Pichler
2021 · DOI: 10.1016/j.promfg.2021.10.002Novel Fatigue Tester for Additively Manufactured Metals
Shyam-Sundar Balasubramanian, Chris Philpott, James Hyder, Mike Corliss et al.
2021 · DOI: 10.1016/j.promfg.2021.06.054A digital twin strategy for major failure detection in fused deposition modeling processes
Christopher M. Henson, Nathan I. Decker, Qiang Huang
2021 · DOI: 10.1016/j.promfg.2021.06.039Demand forecasting methods for spare parts logistics for aviation: a real-world implementation of the Bootstrap method
M. Baisariyev, A. Bakytzhanuly, Y. Serik, B. Mukhanova et al.
2021 · DOI: 10.1016/j.promfg.2021.10.068Effect of spreading of the melt pool on the deposition characteristics in laser directed energy deposition
Chaitanya Vundru, Ramesh Singh, Wenyi Yan, Shyamprasad Karagadde et al.
2021 · DOI: 10.1016/j.promfg.2021.06.043Design and development of an IoT enabled platform for remote monitoring and predictive maintenance of industrial equipment
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
2021 · DOI: 10.1016/j.promfg.2021.07.025A Layer Image Auditing System Secured by Blockchain
Jinwoo Song, Young Moon
2021 · DOI: 10.1016/j.promfg.2021.06.059Optimizing the metastability of high-strength ultrafine grained microstructure from large strain machining
Sepideh Abolghasem, Luis Felipe Hernández Rivera, Shashank Shekhar
2021 · DOI: 10.1016/j.promfg.2021.10.035A simulation driven development framework for parallel kinematics
Lukas Bath, Thorsten Schüppstuhl
2021 · DOI: 10.1016/j.promfg.2021.10.010The Impact of Logistics 4.0 on Performance in Manufacturing Companies: A Pilot Study
Manuel Woschank, Patrick Dallasega
2021 · DOI: 10.1016/j.promfg.2021.10.066Characterization of aluminum flow during friction element welding
Tyler J. Grimm, Ankit Varma, Amit B. Deshpande, Laine Mears et al.
2021 · DOI: 10.1016/j.promfg.2021.06.016A decision-making framework for the design of local production networks under largescale disruptions
Yousef Haddad, Konstantinos Salonitis, Christos Emmanouilidis
2021 · DOI: 10.1016/j.promfg.2021.10.054Digital twin technology - external data resources in creating the model and classification of different digital twin types in manufacturing
Csaba Ruzsa
2021 · DOI: 10.1016/j.promfg.2021.07.032Assembly of film coverlays: development of a configurable gripper for process automation
Marcello Valori, Vito Basile, Serena Ruggeri, Gianmauro Fontana et al.
2021 · DOI: 10.1016/j.promfg.2021.10.012Evaluation of the tool wear in the turning process of INCONEL 718 using PCD tools
Leonardo Rosa Ribeiro da Silva, Felipe dos Anjos Rodrigues Campos, Wisley Falco Sales, Alisson Rocha Machado et al.
2021 · DOI: 10.1016/j.promfg.2021.06.079Image Processing-based Method for Automatic Design of Patient-Specific Cranial Implant for Additive Manufacturing
Vysakh Venugopal, Omkar Ghalsasi, Matthew McConaha, Alice Xu et al.
2021 · DOI: 10.1016/j.promfg.2021.06.090Comparison of nominal and real 2D contours of manufactured products using Ant Colony Optimisation of shape landmarks
Emmanuel Stathatos, George-Christopher Vosniakos
2021 · DOI: 10.1016/j.promfg.2021.10.022Testing Platform of Chains and Sprockets for Conveyer System Designs
Zhuming Bi, Bongsu Kang
2021 · DOI: 10.1016/j.promfg.2021.10.014Multi-Material Topology Optimization Using Variable Density Lattice Structures for Additive Manufacturing
Vysakh Venugopal, Nathan Hertlein, Sam Anand
2021 · DOI: 10.1016/j.promfg.2021.06.089Proposed solution to eliminate pitch fluctuation in case of conical screw surface machining by apex adjustment
Zsuzsa Balajti, Zoltán Mándy
2021 · DOI: 10.1016/j.promfg.2021.10.038Reviews
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October 10, 2026 at 6:21 pm
October 9, 2026