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Journals in Industrial engineering

The Industrial Engineering portfolio covers operations research, process optimization, supply chain management, quality control, and human factors engineering. It delivers advanced methodologies and practical strategies to enhance efficiency, productivity, and sustainability in manufacturing and service industries. Focused on innovation and data-driven decision-making, this collection equips engineers and researchers to optimize complex systems and workflows.

  • Robotics and Computer-Integrated Manufacturing

    • ISSN: 0736-5845
    The emphasis of the journal Robotics and Computer-Integrated Manufacturing is on disseminating the application of research to the development of new or improved industrially-relevan... robotics, manufacturing technologies, and innovative manufacturing strategies. Preference is given to papers describing original research that includes both theory and experimental validation. Comprehensive review papers on topical issues related to robotics and manufacturing will also be considered. Papers on conventional machining processes, modelling and simulation, supply chain management, and resource optimisation, will generally be considered out of scope, as there are other more appropriate journals in these areas. Overly theoretical or mathematical papers will be directed to other more appropriate journals as well. Original papers are welcomed in the areas of industrial robotics, human-robot collaborative manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.
  • Journal of Manufacturing Processes

    • ISSN: 1526-6125
    Published by SMEManufacturing is undergoing major transformation due to the unforeseen challenges arising from the current trend of miniaturization, the emergence of new materials and the growing interaction between biologists and engineers to learn more from nature and living objects.Traditionall... a "top-down" approach has been used in manufacturing. Recently, engineers and scientists have begun exploring "bottom-up" approaches for manufacturing today's highly complex products. Further, these emerging processes are aimed to improve process efficiency and product quality.The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.Papers relevant to the scope of JMP include, but are not limited to, the following areas:• Meso/micro/nano fabrication, including imprint lithography. • Advanced manufacturing processes, including mechanical, chemical and thermal processes. • Welding, joining and assembly at micro and macro scales. • Rapid prototyping, rapid manufacturing and repair, stereolithography and other 3-D fabrication techniques that can use optical projection. • Advanced embossing, casting, forming and molding processes at all scales. • Continuum and subcontinuum process modeling and simulation. • Manufacturing process monitoring, control and automation. • Tribology and wear issues relevant to manufacturing processes.The Journal of Manufacturing Processes (JMP) is an official journal of SME, in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).
  • Engineering Applications of Artificial Intelligence

    • ISSN: 0952-1976
    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. Engineering Applications of Artificial Intelligence 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 novel aspects of AI used for a real-world engineering application and also validated using public data sets for easy replicability of the research results.Focal points of the journal include, but are not limited to, innovative applications of:Internet–of–thing... and cyber-physical systemsIntelligent transportation systems & smart vehiclesBig data analytics, understanding complex networksNeural networks, fuzzy systems, neuro-fuzzy systemsDeep learning and real-world applicationsSelf-org... 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-supp... systemsAspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoningApplication... 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 reliabilityIntellige... fault detection, fault analysis, diagnostics and monitoringIndustrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercisesRoboticsPap... which do not respect the four following conditions will be desk-rejected without being sent for peer review:Papers on new metaphor-based metaheuristics are very rarely accepted by Engineering Applications of Artificial Intelligence (please see further details in the ‘Article types’ section of the Guide for Authors)The abstract should clearly specify which is the contribution in AI, and which is the application in engineeringThe use of undefined acronyms in the title and in the abstract is forbiddenThe papers must be formatted in single-column formatFor more details on the International Federation of Automatic Control (IFAC), visit their home page.
  • Journal of Manufacturing Systems

    • ISSN: 0278-6125
    Published by SMEThe Journal of Manufacturing Systems publishes state-of-the-art fundamental and applied research in manufacturing at systems level. Manufacturing systems are comprised of products, equipment, people, information, control and support functions for the economical and competitive development, production, delivery and total lifecycle of products to satisfy market and societal needs.The aim of the Journal of Manufacturing Systems is to publish archival scholarly literature with the goal of advancing the state of the art in manufacturing systems and encouraging innovation in developing efficient, robust and sustainable manufacturing systems. Pertinent to the Journal is research that will impact emerging manufacturing systems from the equipment level to the extended enterprise. Challenges are addressed within and across various scales including nano, micro and macro-scale manufacturing, as well as within and across broad sectors including aerospace, automotive, energy and medical device manufacturing.The scope of the Journal of Manufacturing Systems includes, but is not limited to, the following areas:Factory and production network design, process planning, assembly planning, scheduling;Smart sensor networks, real-time monitoring, distributed system control;Human-machin... interaction, human-robot collaborative assembly, operator ergonomics;Multi-phy... modelling, simulation and optimisation, virtual and augmented reality in manufacturing;Diagno... and prognosis, predictive maintenance, lifecycle analysis, product-service systems;Design and operation for sustainability, energy efficiency in production and logistics;Global and regional production networks, material handling, logistics;Mass customisation and personalisation, complexity management;Cyber-phy... production systems, big data analytics and machine learning, industrial Internet;Systems issues related to additive and subtractive manufacturing, micro-electromechani... systems.Papers addressing related emerging topics are encouraged, and special-topic issues on emerging topics will be considered. The Journal of Manufacturing Systems is an official journal of Society of Manufacturing Engineers (SME), in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).
  • CIRP Journal of Manufacturing Science and Technology

    • ISSN: 1755-5817
    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.
  • Journal of Materials Processing Technology

    • ISSN: 0924-0136
    Formerly: Journal of Mechanical Working TechnologyThe Journal of Materials Processing Technology covers the processing techniques used in manufacturing components from metals and other materials. The journal aims to publish full research papers of original, significant and rigorous work and so to contribute to increased production efficiency and improved component performance.Areas of interest to the journal include:Casting and formingAdditive processing and joining technologiesMaterial removal processesProcessing for surface engineeringEvolution of material properties and functionality caused by different processing conditionsDesign and behaviour of equipment and toolsThe core interest of the journal is the processing of metals, ceramics, polymers, composites and other advanced materials, where the article is focused on the influence of the process on the materials and where there are not other more appropriate dedicated journals. For example, ductile forming of polymers is of interest, but the influence of polymer composition on properties is well covered in dedicated polymer journals.A typical article will examine the influence of process design, tool design, or process operating conditions on the properties of the material or the future performance of the equipment. Most articles combine appropriate quantitative analysis with well-designed experiments. The sciences of materials, tribology and thermodynamics are well covered in other dedicated journals, so these topics are of interest to this journal only when applied specifically to give insight into the processing techniques used in manufacturing components.The journal's Editorial Policy defines our basis for considering submissions. Typical published articles will contribute significant new transferable knowledge in the form of (a) an innovation or (b) a new insight into material processing in the form of a transferable qualitative or quantitative explanation of a difference between experimental measurements and the predictions of existing theory. 'Transferable' knowledge applies to materials or processing conditions broader than those tested within the article.The Journal of Materials Processing Technology generally does not accept papers in the following areas:Simulation with no experimental verification and/or which gives no new insight into the process.Experimental reports which do not provide a convincing analytical or physical explanation of observed behaviour.Topics that properly belong to the materials science literature. Examples include the synthesis of materials, chemical experiments and studies of material composition.The analysis of material properties, surfaces or product performance without reference to the processing which caused them.Statistical methods or techniques from Artificial Intelligence which treat the process as a black box.The operation of equipment, without reference to materials (such as tool path design in CNC machining), or the management of factory systems.As stated in the journal's editorial policy, the Journal of Materials Processing Technology does not accept multiple-part papers or case studies.
  • Additive Manufacturing

    • ISSN: 2214-8604
    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
  • Computer-Aided Design

    • ISSN: 0010-4485
    Computer-Aided Design is a leading international journal that provides academia and industry with key papers on research and developments in computational foundations and methods of design. The term "design" is to be understood broadly to encompass conceptualization, synthesis, realization, and evolution of artifacts, processes, and systems (both natural and artificial).Computer... Design invites papers reporting new research, as well as novel or particularly significant applications, within a wide range of topics, spanning all stages of design from concept creation to manufacture and beyond. Contributions are welcome from all disciplines and application areas, provided that they have a significant geometric, topological, spatial, or configuration design content, and present developments likely to be of interest to a broad spectrum of researchers, educators, and practitioners of computer-aided design. In this context, examples of relevant topics include but are not limited to:Foundational theories, frameworks, methodologies, and standardsMathematica... models, representations, and algorithms for shapes, solids, structures, and assembliesMaterial, behavior, and physical modelingConceptual design and inventionUncertainty and imprecision in computer-aided designMulti-scale modeling and design of shape and material structuresSystem level design and model-based systems engineeringProgramma... subtractive, additive, and hybrid manufacturingGenerat... design, shape, topology, and material optimizationComputat... planning, fabrication, and inspectionDiscretiza... and meshing algorithmsData acquisition, model recognition and reconstructionRepres... conversions and interoperabilityAppl... of AI in design, including neural networks and machine learningDesign ontologies, grammars, languages, and semanticsData driven modeling and synthesisAdvanced support of manufacturing and downstream activitiesTechnologi... in support of digital factory and digital twin conceptsUser interfaces, system interfaces, and human-computer interactionDesign databases, knowledge repositories, object libraries and retrievalSpecific applications and significant benchmarks of computer-aided designTypes of Papers:Research papers: report significant research and development results, describe the relevant theoretical foundations and methodology, and present workable algorithms and give examples taken from real world applications, stressing the significance of the approach being presented.Applicatio... papers: describe complex and pioneering applications of CAD concepts, methods and tools in practice, present significant results that extend the disciplinary knowledge and/or analyze the application in a way that is likely to stimulate and influence further research.Survey papers: critically analyze the current state of knowledge in a given field of CAD, summarize and organize recent research results in a novel way, derive new insights and deepen understanding of those working in the field, and propose possible topics, orientations and approaches for future research and development.Technica... notes: respond to material published in the journal or closely related topics, repair a flaw in the definition and approach or stimulate further thinking, or provide additional technical details on a CAD theory, technology, methodology, product or application.Dataset papers: discuss creation, documentation, and critical assessment of data sets, repositories, and their uses supporting research and practice in all areas of computer-aided design. An algorithmic contribution is not required for a dataset paper, but the dataset itself must be made freely usable and accessible for research purposes. Dataset papers will go through the same rigorous review process and will be evaluated based on their novelty, impact, and presentation. Accessibility, privacy, and ethics are also important issues that will be considered by the reviewers and editors.
  • Accident Analysis & Prevention

    • ISSN: 0001-4575
    Affiliated with the Association for the Advancement of Automotive MedicineAccident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
  • Control Engineering Practice

    • ISSN: 0967-0661
    A journal of IFAC, The International Federation of Automatic Control. Control 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 ApplicationsApplicab... 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-Paramete... 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 TechnologiesFor more details on the International Federation of Automatic Control (IFAC), visit their home page.