Journals in Industrial engineering

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International Journal of Production Economics

ISSN: 0925-5273
5 Year impact factor: 10.3
Impact factor: 9.8

The International Journal of Production Economics focuses on topics treating the interface between engineering and management. All aspects of the subject in relation to manufacturing and process industries, as well as production in general are covered. The journal is interdisciplinary in nature, considering whole cycles of activities, such as the product life cycle - research, design, development, test, launch, disposal - and the material flow cycle - supply, production, distribution.The ultimate objective of the journal is to disseminate knowledge for improving industrial practice and to strengthen the theoretical base necessary for supporting sound decision making. It provides a forum for the exchange of ideas and the presentation of new developments in theory and application, wherever engineering and technology meet the managerial and economic environment in which industry operates. In character, the journal combines the high standards of a traditional academic approach with the practical value of industrial applications.Articles accepted need to be based on rigorous sound theory and contain an essential novel scientific contribution. Tracing economic and financial consequences in the analysis of the problem and solution reported, belongs to the central theme of the journal. Submissions should strictly follow the Guide for Authors of the journal.We are interested in publishing high quality survey and review papers in relevant domains. However, we stress that the hurdles for consideration of such papers are high. They must demonstrate a strong need, show that they are well-executed, and generate valuable insights. Survey and review papers must position themselves clearly in relation to existing related reviews and surveys in the field. Systematic reviews that merely describe publication patterns in a particular field are unlikely to be sent out for review for IJPE. All survey and review papers must show valuable critique of the field and new insights. Such papers will normally require author(s) with sufficient experience in the field to make appropriate judgements.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

Journal of Loss Prevention in the Process Industries

ISSN: 0950-4230
5 Year impact factor: 3.7
Impact factor: 3.6

The International Journal of Chemical and Process Plant SafetyThe broad scope of the journal is process safety. Process safety is defined as the prevention and mitigation of process-related injuries and damage arising from process incidents involving fire, explosion and toxic release. Such undesired events occur in the process industries during the use, storage, manufacture, handling, and transportation of highly hazardous chemicals. Focus and EmphasisThe focus of the journal is on loss prevention as practiced in the process industries with an emphasis on chemical and process plant safety. This emphasis will be readily identified in manuscripts that make extensive reference to the process safety literature. Regardless of the nature or origin of the manuscript, there must be a clearly defined and explicitly explained original research contribution to the field of process safety.TopicsTopics eligible for consideration by the journal include:Process safety managementProcess safety cultureProcess safety risk assessmentIncident investigationDesign and reliability of protective systemsPlant layout, maintenance and modificationProcess alarm managementEmergency planningTransportation of hazardous materialsOffshore oil and gas safetyProcess firesGas explosionsDust explosionsDispersion of toxic materialsRunaway reactionsInherently safer designHuman error/human factorsProcess securityProcess security managementProcess security risk assessmentProcess safety decision-making and economic issuesProcess safety education and trainingOther process safety topics not identified in the above listExclusionsTopics excluded from consideration by the journal include:Occupational health and safetySafety in non-process industry sectors such as construction and aviationEnvironmental concerns where such issues are the only or primary focus of the researchStudies in the following areas, and in which there is no explicit consideration of the process safety implications of the research:Coal mine safetyFundamental combustion studiesFundamental corrosion studiesGeneral system reliabilityMaintenance schedule optimizationMaterial characterizationProcess control and monitoringOther non-process safety topics not identified in the above list

Journal of Loss Prevention in the Process Industries

Journal of Manufacturing Processes

ISSN: 1526-6125
5 Year impact factor: 6.2
Impact factor: 6.1

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.Traditionally, 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.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 CenterThe Journal of Manufacturing Processes (JMP) is an official journal of SME, in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).

Journal of Manufacturing Systems

ISSN: 0278-6125
5 Year impact factor: 11.3
Impact factor: 12.2

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-machine interaction, human-robot collaborative assembly, operator ergonomics;Multi-physics modelling, simulation and optimisation, virtual and augmented reality in manufacturing;Diagnosis 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-physical production systems, big data analytics and machine learning, industrial Internet;Systems issues related to additive and subtractive manufacturing, micro-electromechanical 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).

Journal of Materials Processing Technology

ISSN: 0924-0136
5 Year impact factor: 6.1
Impact factor: 6.7

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.

Marine Structures

ISSN: 0951-8339
5 Year impact factor: 4
Impact factor: 4

Marine Structures provides a medium for presentation and discussion of the latest developments in research, design, fabrication, transport/installation and in-service experiences relating to the field of Marine Structures .Marine Structures aims to advance knowledge specifically for Marine Structures that are constructed of steel, concrete, or new materials . It publishes topics on the classical areas of ships, fixed, mobile and floating offshore platforms, infrastructures, moorings, pipelines, cables, risers and subsea systems . Submissions on new and emerging research topics, including offshore renewable energies, aquaculture systems, underwater vehicles for offshore operations and related machine learning applications, are particularly welcome.The journal publishes topics including:Ocean environmental design conditions and associated,Loads exerted by waves, currents, wind, tides, ice and ground motions,Seabed foundations, anchoring systems and interaction with marine structural systems,Evaluation of static and dynamic structural responses including collapse behaviour,Fatigue and fracture,Materials selection, corrosion and other forms of degradation applied to marine structures,Formulation and application of design methods and criteria including system reliability analysis, and optimization techniques,Inspection, structural health monitoring, maintenance and lifetime extension,Fabrication, transport, installation and decommissioning techniques,Resilient design of marine systems,Application of machine learning methods and data-driven models for strength and/or load/response predictions of marine structures,Marine Structures does not accept submissions on the following topics:Underwater acoustics,Underwater explosions,Military applications.

Mechatronics

ISSN: 0957-4158
5 Year impact factor: 3.6
Impact factor: 3.1

The Science of Intelligent Machines An International JournalMission and ScopeA journal of IFAC, the International Federation of Automatic ControlWelcome to Mechatronics: The Science of Intelligent Machines. Mechatronics is a refereed journal that publishes articles that report advances in the state-of-the-art in Mechatronics and Robotics. We welcome original submissions that report creative or innovative methodology and solutions with a synergistic combination of mechanical engineering, electrical and electronic engineering, and control systems of intelligent machines or robotic systems. Submitted manuscripts are expected to report experimental results obtained from laboratory or full-scale mechatronic apparatus. Some of the topics addressed in the published articles include:Mechatronics: Modeling, identification and control of mechatronic systems; motion and vibration control; micro/nano systems and devices; automotive systems; biomedical mechatronic systems; and advanced manufacturing equipment and processes.Robotics: Modeling, control, learning and system issues related to: autonomous vehicles and robots, marine, underwater, and aerial robots, legged robots, soft robots, field robots, industrial robots, medical robots; human-robot interaction; teleoperation; haptics; and multi-robot systems.Types of papersRegular Articles: Articles that describe original research of high quality in Mechatronics or in Robotics.Review Articles: Contain a detailed survey of established or emerging topics of interest to the journal readership.Robotics and Mechatronics Letters: Short manuscripts, no longer than seven printed journal pages, that report important time sensitive results in Robotics or in Mechatronics. These articles will go through a rapid review process overseen by a dedicated Co-Editor-in- Chief.Book Reviews: A detailed review of published textbooks or research monographs of interest to Mechatronics' readership.

Ocean Engineering

ISSN: 0029-8018
5 Year impact factor: 4.8
Impact factor: 4.6

Ocean Engineering aims to provide a medium for the publication of original research and development work in the field of ocean engineering.The journal seeks papers in the following topics:Ocean Engineering including:fixed and floating offshore platforms;pipelines and risers;cables and mooring;buoy technology;foundation engineering;ocean mining;marine and offshore renewable energy;aquaculture engineering; environmental protection;subsea engineering.Naval Architecture including:ship and special marine vehicle design;intact and damaged stability;technology for energy efficiency and green shipping;ship production technology;decommissioning and recycling.Polar and Arctic Engineering including:ice mechanics;ice-structure interaction;polar operations;polar design;environmental protection.Automatic Control of Marine Systems including:automatic control;automation and autonomy for marine vehicles and systemsUnderwater Technology including:AUV/ROV design;AUV/ROV hydrodynamics;maneuvering and control; underwater-specific communicating and sensing systems for AUV/ROVs.In these fields, papers on the following technical topics are welcome.Hydro- and Aerodynamics: CFD; vortex induced vibrations; fluid-structure interaction; hydroelasticity; linear and non-linear wave mechanics; buoyancy and stability; ship resistance and propulsion; seakeeping and controls; ship maneuvering; ship-radiated noise; wind-assisted propulsion; energy-efficient devices; hydroacoustics; aeroacoustics from offshore wind turbines.Structural Mechanics: materials; limit state prediction and assessments; fatigue; fracture; structural health monitoring; collision and crash worthiness, degradation; ship strength.Stochastic Calculations: stochastic processes; safety and reliability; risk and limit state design.Experimental Approaches: instrumentation; full-scale measurements; model tests.Marine equipment: risers; pipelines; ballast water treatment; air emissions treatment; underwater noise mitigation; and associated components or equipment.Ocean Environmental Predictions: only for ocean structures and vessel operation and design: extreme event predictions; extreme statistics; wave groups; tsunamis; short-term environment predictions; impact of climate change. Note that broader environmental and climate models, sensing, and data sets should be submitted to climate and oceanographic journals.Automatic Control of Marine Systems: Papers submitted in this subject area should have genuine value in naval architecture and maritime engineering and should include the validation of results preferably, by full-scale measurements or model-scale tests or, when this is not possible, by high-fidelity simulations. Methods used in papers should be validated in conditions that represent realistic marine environments.Human Factors and Maritime Safety including:Maritime accidents; fatigue management; risk assessment; situational awareness; maritime training; human errors; human performance in operation; human factors in maritime accidents; safety culture; human factors taxonomy; all related to maritime engineering.Ocean Engineering does not accept submissions on marine engines and auxiliary systems, heating and cooling systems, pumps, underwater explosions, sediment transport, purely theoretical papers without any application to ocean engineering, broad material science, and corrosion studies without a focus on naval architecture or offshore engineering.Additionally, Ocean Engineering does not accept submissions focusing solely on military applications.*Authors are requested to complete a Review Proposal Form for Editorial approval prior to submission of the review article. Proposals can be submitted to [email protected] or one of the Editors.

Operations Research Letters

ISSN: 0167-6377
5 Year impact factor: 1.1
Impact factor: 0.8

Operations Research Letters (ORL) is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. ORL welcomes pure methodological papers and applied papers with firm methodological grounding. All articles are restricted to at most eight journal pages, with the option to relegate proofs and additional material to an online appendix. The main criteria for the papers to be published are quality, originality, relevance, and clarity. The journal's traditional strength is in methodology, including theory, modelling, algorithms, and computational studies. Please find below a full description of the areas covered by the journal.Area EditorsApproximation Algorithms for Combinatorial Optimization Problems Area Editor: Leah Epstein Associate Editors: M. Chrobak, K. Elbassioni, M. Feldman, J. Hurink, N. Olver, J. Sgall, J. Verschae The area covers all issues relevant to the development of efficient approximate solutions to computationally difficult problems. This includes worst case analysis or competitive analysis of approximation algorithms, and complexity results.Submissions can be articles consisting of theoretical work in the area, or articles combining significant theoretical contributions of mathematical flavor with computational investigations of heuristic approaches. Articles in the area of discrete optimization that do not belong to the scope of other areas may be submitted to this area as well.Computational Social Science Area Editor: Vianney Perchet Associate Editors: A. Drutsa, P. Mertikopoulos, R. Smorodinsky This area publishes papers focusing on data-driven procedures, either from a theoretical or an applied perspective, in operation research, games, economics and other social science. The scope includes: sample/computational complexity of mechanisms, learning in games/OR/social science, empirical solutions with AI algorithms (such as, but not limited to, deep learning techniques) of complex problems, etc. Continuous Optimization Area Editor: Hector Ramirez Associate Editors: M.F. Anjos, L.M. Briceno, D. Dadush, G. Eichfelder, D. Jiang, D. Orban, F. Schoen Papers in all fields of continuous optimization that are relevant to operations research are welcome. These areas include, but are not restricted to, linear programming, nonlinear programming (constrained or unconstrained, convex or nonconvex, smooth or nonsmooth, finite or infinite-dimensional), complementarity problems, variational inequalities, bilevel programming, and mathematical programs with equilibrium constraints. Financial Engineering Area Editor: Ning Cai Associate Editors: X. He, D. Mitchell Financial engineering utilizes methodologies of optimization, simulation, decision analysis and stochastic control to analyse the effectiveness and efficiency of financial markets. This area is interested in papers that innovate in terms of methods or that develop new models which guide financial practices. Examples include but are not limited to Fintech, financial networks, market microstructure, derivative pricing and hedging, credit and systemic risk, energy markets, portfolio selection. Game Theory Area Editor: Tristan Tomala Associate Editors: S. Beal, V. Ihele, D.W.K. Yeung, G. Zaccour This area publishes papers which use game theory to analyze operations research models or make theoretical contributions to the theory of games. The scope includes (but is not limited to): cooperative and non-cooperative games, dynamic games, mechanism and market design, algorithmic game theory, games on networks, games of incomplete information. Graphs & Networks Area Editor: Gianpaolo Oriolo Associate Editors: F. Bonomo, Y. Faenza, Z. Friggstad, L. Sanita The area seeks papers that apply, in original and insightful ways, discrete mathematics to advance the theory and practice of operations research, as well as those reporting theoretical or algorithmic advances for the area. Of particular, but not exclusive, interest are papers devoted to novel applications, telecommunications and transportation networks, graphs and web models and algorithms. Inventory and Supply Chain Optimization Area Editor: Sean Zhou Associate Editors: H. Abouee Mehrizi, A. Burnetas, X. Gong, Q. Li, J. Yang The area welcomes innovative papers focused on inventory control and supply management. Examples of topics include, but are not limited to, optimal sourcing, inventory and assortment selection, pricing and inventory optimization, capacity planning, multi-item/echelon systems, algorithms and bounds, near-optimal or asymptotic optimal solutions, and incentive design. Mixed Integer Optimization Area Editor: Marc Pfetsch Associate Editors: R. Fukasawa, L. Liberti, J.P. Vielma, G. Zambelli All submissions advancing the theory and practice of mixed integer (linear or nonlinear) programming like novel techniques and algorithmic approaches in convex relaxations, branch and cut, polyhedral combinatorics and theory driven heuristics are welcome. Case studies may be considered if they contribute to the general methodology. Operations Management Area Editor: Mahesh Nagarajan Associate Editors: L. Chu, Y. Ding, N. Golrezaei, T. Huh, R. Roet-Green, D. Saban, C. Shi, L. Zhu The OM department aims to publish short, focused high quality research in the area of operations management, broadly the field of operations research applied to management problems. We welcome papers that use a wide variety of methodologies, both descriptive as well as prescriptive in nature including optimization, applied probability, simulation, and game theory. Scheduling Area Editor: Marc Uetz Associate Editors: B. Moseley, E. Pesch, R. Van Stee We seek original and significant contributions to the analysis and solution of sequencing and scheduling problems. This includes structural and algorithmic results, in particular optimization, approximation and online algorithms, as well as game theoretic modeling. All results are welcome as long as the relevance of a problem and significance of the contribution is made compellingly clear. Stochastic Models and Data Science Area Editor: Henry LamAssociate Editors: H. Bastani, J. Dong, K. Murthy, I. Ryzhov, Y. Zhou The area seeks papers broadly on the interplay between operations research and machine learning and statistics where stochastic variability and uncertainty play a crucial role. The area values both papers that develop or utilize stochastic analysis and computation in data science problems, including but not limited to reinforcement learning, stochastic iterative algorithms for model estimation or training, probabilistic analysis of statistical and machine learning tools, sampling and Monte Carlo methods, and also papers that integrate learning or statistical techniques into stochastic modeling to enhance prediction or decision-making for a wide variety of systems. Stochastic Networks and Queues Area Editor: Jamol Pender Associate Editors: H. Honnappa, E. Ozkan, W. Wang, Y. Zhao The area seeks papers that contribute to the modeling, analysis or innovative application of stochastic networks or queues. Work submitted should propose original models and develop novel analytical or computational methods more than incremental extensions. Examples of relevant application areas include but are not limited to supply chain management, manufacturing, financial engineering, healthcare, revenue management, service operations, telecommunications, sharing economy, online markets and public sector operations research. Application-oriented papers should demonstrate direct practical impact and have a strong methodological component as well. Stochastic Optimization and Machine Learning Area Editor: Angelos Georghiou Associate Editors: M. Bodur, M. Claus, E. Feinberg, P. Vayanos The Stochastic Optimization and Machine Learning area of Operations Research Letters solicits original articles that generate novel insights into problems that arise in optimization under uncertainty and in machine learning. The focus is broad and encompasses, among others, stochastic (dynamic) programming, (distributionally) robust optimization, data-driven optimization as well as the interface of machine learning with traditional areas of operations research. Successful submissions in this area are expected to make a clear and meaningful academic contribution, which may be through the study of new problems, models, solution techniques, performance analysis and convincing and reproducible numerical evaluations.

Optics & Laser Technology

ISSN: 0030-3992
5 Year impact factor: 4.4
Impact factor: 4.6

Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication.The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics •developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systemsThe Journal publishes and, from time to time commissions, review articles pertaining to important areas of optical and laser technology. Short communications and technical notes are also published. Short papers for rapid communication of important innovations or observations will receive fast-track treatment.Optics & Laser Technology aims to provide the widest possible coverage of world research and development in its chosen field.

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