Journals in Manufacturing processes and systems

Additive Manufacturing

ISSN: 2214-8604
5 Year impact factor: 12.4
Impact factor: 10.3

Affiliated with America Makes, the National Additive Manufacturing Innovation InstituteAdditive Manufacturing is the peer-reviewed journal that provides academia and world-leading industry with high quality research papers and reviews in additive manufacturing. The journal aims to acknowledge the innovative nature of additive manufacturing and its broad applications to outline the current and future developments in the field.Additive manufacturing technologies are positioned to provide a disruptive transformation in how products are designed and manufactured. In response, there was a need to create a unique, in-depth publication outlet for engineers, materials scientists, and practitioners in academia and virtually any industry to document innovation of these technologiesThe journal covers a wide scope, comprising new technologies, processes, methods, materials, systems, and applications in the field of additive manufacturing. Topics of particular interest include, but are not limited to:Design and Modeling • Multiple material components and devices Heterogeneous Design • Heterogeneous Design • Modeling from concept to manufacture to implementation to disposal - the entire product life cycleAdditive manufacturing processes and process enhancements • Advancements in additive manufacturing processes • Multi-technology (hybrid) systems • Enhanced closed-loop control of additive manufacturing systemsMultiple and novel materials • Characterization and performance - mechanical, electrical, chemical, biological, opticals • New material formulations and composite materials • Processing of materials in additive manufacturing and for use in additive manufacturingSpecial applications with multi-functionality • Medical additive manufacturing and bio-printing • Optimized configurations such as topology optimization • Additive manufacturing for space and in-space additive manufacturing • Improved energy utilization in and using additive manufacturing • Nano-additive manufacturing • Electromechanical and robotic systems • 3D electronics, electromagnetics, and metamaterials • Other novel applications of additive manufacturing

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Advanced Engineering Informatics

ISSN: 1474-0346
5 Year impact factor: 8.2
Impact factor: 8

The science of supporting knowledge-intensive activitiesAdvanced computing methods and related technologies are changing the way engineers interact with the information infrastructure. Explicit knowledge representation formalisms and new reasoning techniques are no longer the sole territory of computer science. For knowledge-intensive tasks in engineering, a new philosophy and body of knowledge called Engineering Informatics is emerging.Advanced Engineering Informatics solicits research papers with particular emphases both on 'knowledge' and 'engineering applications'. As an international Journal, original papers typically:• Report progress in the engineering discipline of applying methods of engineering informatics. • Have engineering relevance and help provide the scientific base to make engineering decision-making more reliable, spontaneous and creative. • Contain novel research that demonstrates the science of supporting knowledge-intensive engineering tasks. • Validate the generality, power and scalability of new methods through vigorous evaluation, preferably both qualitatively and quantitatively.In addition, the Journal welcomes high quality review articles that summarise, compare, and evaluate methodologies and representations that are proposed for the field of engineering informatics. Similarly, summaries and comparisons of full-scale applications are welcomed, particularly those where scientific shortcomings have hindered success. Typically, such papers have expanded literature reviews and discussion of findings that reflect mastery of the current body of knowledge and propose novel additions to contemporary research.Papers missing explicit representation and use of knowledge, such as those describing soft computing techniques, mathematical optimization methods, pattern recognition techniques, and numerical computation methods, do not normally qualify for publication in the Journal. Papers must illustrate contributions using examples of automating and supporting knowledge intensive tasks in artifacts-centered engineering fields such as mechanical, manufacturing, architecture, civil, electrical, transportation, environmental, and chemical engineering. Papers that report application of an established method to a new engineering subdomain will qualify only if they convincingly demonstrate noteworthy new power, generality or scalability in comparison with previously reported validation results. Finally, papers that discuss software engineering issues only are not in the scope of this journal.

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Annual Reviews in Control

ISSN: 1367-5788
5 Year impact factor: 10.5
Impact factor: 7.3

The field of Control is changing very fast now with technology-driven “societal grand challenges” and with the deployment of new digital technologies. Indeed, increasingly both economic developments and societal needs depend upon collections of diverse systems working together to provide needed services, comfort, health, safety, and security. Consequently, there is an increasing demand for methodological and technical approaches which allow multiple, independent, heterogeneous systems to interoperate cooperatively providing broader capabilities than available from individual systems. Such considerations apply in many different domains including transportation, health care, energy and water management, smart cities, defense and security, social services, manufacturing systems, supply chains and more. The design of such systems requires understanding the joint dynamics of computers, software, networks, physical, chemical, biological processes and human-in-the-loop.The aim of Annual Reviews in Control is to provide comprehensive and visionary views of the field, by publishing the following types of review articles: Survey Article: Review papers on main methodologies or technical advances adding considerable technical value to the state of the art. Note that papers which purely rely on mechanistic searches and lack comprehensive analysis providing a clear contribution to the field will be rejected.Vision Article: Cutting-edge and emerging topics with visionary perspective on the future of the field or how it will bridge multiple disciplines, andTutorial research Article: Fundamental guides for future studies.For more details on the International Federation of Automatic Control (IFAC), visit their homepage at http://www.ifac-control.org.

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Automatica

ISSN: 0005-1098
5 Year impact factor: 6
Impact factor: 4.8

A Journal of IFAC, the International Federation of Automatic ControlAutomatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.Additional information about Automatica, including a list of recently accepted papers and a cumulative table of contents (1963-present), can be found at the website www.journals.elsevier.com/automatica. Papers should be submitted using the on-line review management system Pampus www.autsubmit.com.

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CIRP Annals

ISSN: 0007-8506
5 Year impact factor: 4.3
Impact factor: 3.2

Manufacturing Technology Published by CIRP, The International Academy for Production EngineeringCIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems.This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include:Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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CIRP Journal of Manufacturing Science and Technology

ISSN: 1755-5817
5 Year impact factor: 4.7
Impact factor: 4.6

Published by CIRP, The International Academy for Production EngineeringThe CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. CIRP Members and leading experts are equally encouraged to submit case studies and review papers on specific issues in manufacturing science and technology. The review papers need to be authored by the leading experts with well-established expertise in the field.A typical journal article is authored by the researcher and their supervisor. A paper can also be co-authored with another researcher or institution, but the number of authors typically does not exceed 4-5 people who directly contributed to the research. Others who indirectly contributed (e.g., through editing, conducting experiments, or providing funding) can be acknowledged, but should not be listed as authors.The Journal has been established by CIRP, The International Academy for Production Engineering to meet the needs above. In addition the CIRP has appointed an Editorial Board of Fellows of the Academy which forms a team of highly recognised international experts in the field.The intention is to establish a forum for publishing the best, most innovative research in the field and to this end the journal will publish both in-depth versions of the best papers from CIRP conferences, whilst at the same time, welcoming original contributions from authors worldwide. The main goal is to contribute to the further development of the Science and Technology of Manufacturing which is of fundamental importance for the future. list.

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Computers & Industrial Engineering

ISSN: 0360-8352
5 Year impact factor: 6.7
Impact factor: 6.7

Industrial engineering is one of the earliest fields to utilize computers in research, education, and practice. Over the years, computers and electronic communication have become an integral part of industrial engineering. Computers & Industrial Engineering (CAIE) is aimed at an audience of researchers, educators and practitioners of industrial engineering and associated fields.It publishes original contributions on the development of new computerized methodologies for solving industrial engineering problems, as well as the applications of those methodologies to problems of interest in the broad industrial engineering and associated communities. The journal encourages submissions that expand the frontiers of the fundamental theories and concepts underlying industrial engineering techniques.CAIE also serves as a venue for articles evaluating the state-of-the-art of computer applications in various industrial engineering and related topics, and research in the utilization of computers in industrial engineering education. Papers reporting on applications of industrial engineering techniques to real life problems are welcome, as long as they satisfy the criteria of originality in the choice of the problem and the tools utilized to solve it, generality of the approach for applicability to other problems, and significance of the results produced.A major aim of the journal is to foster international exchange of ideas and experiences among scholars and practitioners with shared interests all over the world.For more information, please visit the Journal's Editorial Office page.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services. Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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Computers in Industry

ISSN: 0166-3615
5 Year impact factor: 9.3
Impact factor: 8.2

An International, Application Oriented Research JournalThe aim of Computers in Industry is to publish original, high-quality, application-oriented research papers that:• Show new trends in and options for the use of Information and Communication Technology in industry; • Link or integrate different technology fields in the broad area of computer applications for industry; • Link or integrate different application areas of ICT in industry.General topics covered include the following areas:• The unique application of ICT in business processes such as design, engineering, manufacturing, purchasing, physical distribution, production management and supply chain management. This is the main thrust of the journal. It includes research in integration of business process support, such as in enterprise modelling, ERP, EDM. • The industrial use of ICT in knowledge intensive fields such as quality control, logistics, engineering data management, and product documentation will certainly be considered. • Demonstration of enabling capabilities of new or existing technologies such as hard real time systems, knowledge engineering, applied fuzzy logic, collaborative work systems, and intelligence agents are also welcomed. • Papers solely focusing on ICT or manufacturing processes may be considered out of scope.A continuous quality policy, based on strict peer reviewing shall ensure that published articles are:- Technologically outstanding and front-end - Application-oriented with a generalised message - Representative for research at an international levelBenefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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Control Engineering Practice

ISSN: 0967-0661
5 Year impact factor: 4.5
Impact factor: 5.4

A Journal of IFAC, the International Federation of Automatic ControlControl Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice's sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.The scope of Control Engineering Practice matches the activities of IFAC.Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.Fields of applications in control and automation: •Automotive Systems •Aerospace Applications •Marine Systems •Intelligent Transportation Systems and Traffic Control •Autonomous Vehicles •Robotics •Human Machine Systems •Mechatronic Systems •Scientific Instrumentation •Micro- and Nanosystems •Fluid Power Systems •Gas Turbines and Fluid Machinery •Machine Tools •Manufacturing Technology and Production Engineering •Logistics •Power Electronics •Electrical Drives •Internet of Things •Communication Systems •Power and Energy Systems •Biomedical Engineering and Medical Applications •Biosystems and Bioprocesses •Biotechnology •Chemical Engineering •Pulp and Paper Processing •Mining, Mineral and Metal Processing •Water/Gas/Oil Reticulation Systems •Environmental Engineering •Agricultural Systems •Food Engineering •Other Emerging Control ApplicationsApplicable methods, theories and technologies: •Modeling, Simulation and Experimental Model Validation •System Identification and Parameter Estimation •Observer Design and State Estimation •Soft Sensing •Sensor Fusion •Optimization •Adaptive and Robust Control •Learning Control •Nonlinear Control •Control of Distributed-Parameter Systems •Model-based Control Techniques •Optimal Control and Model Predictive Control •Controller Tuning •PID Control •Feedforward Control and Trajectory Planning •Networked Control •Stochastic Systems •Fault Detection and Isolation •Diagnosis and Supervision •Actuator and Sensor Design •Measurement Technology in Control •Software Engineering Techniques •Real-time and Distributed Computing •Intelligent Components and Instruments •Architectures and Algorithms for Control •Real-time Algorithms •Computer-aided Systems Analysis and Design •Implementation of Automation Systems •Machine Learning •Artificial Intelligence Techniques •Discrete Event and Hybrid Systems •Production Planning and Scheduling •Automation •Data Mining •Data Analytic •Performance Monitoring •Experimental Design •Other Emerging Control Theories and Related Technologies

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Engineering Applications of Artificial Intelligence

ISSN: 0952-1976
5 Year impact factor: 7.4
Impact factor: 7.5

A journal of IFAC, the International Federation of Automatic Control Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering. Submitted papers should report some novel aspects of AI used for a real world engineering application and also validated using some public data sets for easy replicability of the research results.Papers which do not respect the 4 following conditions will be desk-rejected without being sent to reviewers:Papers on new metaphor-based metaheuristics are very rarely accepted by EAAI (see details on this in the guide online).The abstract should clearly specify which is the contribution in AI and which is the application in engineering.The use of undefined acronyms in the title and in the abstract is forbidden.The papers must be formatted in single-column format.Focal points of the journal include, but are not limited to innovative applications of:Internet–of–things and cyber-physical systemsIntelligent transportation systems & smart vehiclesBig data analytics, understanding complex networksNeural networks, fuzzy systems, neuro-fuzzy systemsDeep learning and real world applicationsSelf-organizing, emerging or bio-inspired systemGlobal optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc.Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic controlDecision-support systemsAspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoningApplications of chaos theory and fractalsReal-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informaticsKnowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systemsPerception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesisAspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliabilityIntelligent fault detection, fault analysis, diagnostics and monitoringIndustrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercisesRoboticsEngineering Applications of Artificial Intelligence publishes:Survey papers/tutorialsContributed papers — detailed expositions of new research or applicationsCase studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applicationsIFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literatureThe Editors of Engineering Applications of Artificial Intelligence wish to inform authors that this journal will not publish papers that propose "novel" metaphor-based metaheuristics, unless the authors: present their method using the normal, standard optimization terminology;show that the new method brings useful and novel concepts to the field;motivate the use of the metaphor on a sound, scientific basis;present a fair comparison with other state-of-the-art methods using state-of-the-art practices for benchmarking algorithms.For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.orgSoftware publicationWe invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.For more information contact us at: [email protected]

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Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Journals in Manufacturing processes and systems

Additive Manufacturing

Advanced Engineering Informatics

Annual Reviews in Control

Automatica

CIRP Annals

CIRP Journal of Manufacturing Science and Technology

Computers & Industrial Engineering

Computers in Industry

Control Engineering Practice

Engineering Applications of Artificial Intelligence