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Journal of Intelligent Manufacturing and Actuation Systems

JIMACTPeer-reviewedEnglish

Description

The Journal of Intelligent Manufacturing and Actuation Systems (JIMACT) is an international, peer-reviewed scholarly journal dedicated to advancing scientific knowledge, engineering methodologies, and technological innovations in intelligent manufacturing machinery, actuation engineering, pneumatic and hydraulic technologies, mechanical drive systems, industrial machine automation, and integrated manufacturing equipment.

The journal provides an interdisciplinary platform for researchers, academics, engineers, and industry professionals to disseminate original research addressing the design, modelling, analysis, optimization, implementation, automation, monitoring, and performance evaluation of actuators, mechanical systems, manufacturing machinery, and intelligent production equipment.

GLOBAL LITERACY PUBLISHING JIMACT Journal ofIntelligentManufacturing andActuation Systems Peer-reviewed · International

JIMACT emphasizes rigorous theoretical development, mechanical and fluid-power modelling, experimental investigation, computational simulation, intelligent actuation strategies, machine-level automation, sensor–actuator integration, and engineering validation. Particular attention is given to measurable improvements in machine performance, energy efficiency, reliability, productivity, adaptability, operational safety, and manufacturing capability.

The journal welcomes research integrating mechanical engineering, manufacturing engineering, mechatronics, fluid power, electrical drive technologies, industrial automation, instrumentation, and computational intelligence, provided that the primary scientific contribution concerns actuator technologies, manufacturing equipment, mechanical drive systems, machine performance, or the integration of actuation and automation technologies into production machinery.

JIMACT particularly encourages research addressing pneumatic and hydraulic actuators, electrohydraulic and electropneumatic systems, intelligent manufacturing machinery, advanced machine drives, actuator diagnostics, energy-efficient fluid power, mechanical system dynamics, automated manufacturing equipment, and integrated machinery technologies.

The journal also welcomes selected contributions from mechanical engineering and industrial automation, including advanced manufacturing processes, machine-tool technologies, PLC-based machinery control, intelligent machine monitoring, industrial robotic equipment, and cyber-physical manufacturing systems, when these studies demonstrate substantive advances in machinery design, actuator integration, machine automation, or engineering performance.

JIMACT aims to bridge fundamental research in actuation engineering, manufacturing machinery, mechanical systems, and industrial machine automation with experimentally validated industrial applications while maintaining a distinctive scientific identity and internationally relevant engineering standards.

Preparing for submissions. Manuscripts will be evaluated on scientific contribution, validation and fit with the journal. See Submissions.

Research areas include

  • Actuator Design and Engineering
  • Pneumatic Systems and Technologies
  • Hydraulic Systems and Fluid Power Engineering
  • Electrohydraulic and Electropneumatic Systems
  • Intelligent Manufacturing Machinery
  • Manufacturing Equipment and Machine Drive Systems
  • Intelligent Actuation and Adaptive Machinery
  • Actuator Dynamics and Performance Modelling
  • Energy-Efficient Actuation and Sustainable Machinery
  • Sensors and Instrumentation for Actuation Systems
  • + 10 more areas »

Latest Articles

No articles have been published in JIMACT yet. The first issue is in preparation.

View All Issues

Announcements

Call for Papers — JIMACT

Journal of Intelligent Manufacturing and Actuation Systems invites original research articles, reviews, methodological and technical articles, and short communications for its first volume.

Focus and Scope

The Journal of Intelligent Manufacturing and Actuation Systems (JIMACT) is an international, peer-reviewed scholarly journal dedicated to advancing scientific knowledge, engineering methodologies, and technological innovations in intelligent manufacturing machinery, actuation engineering, pneumatic and hydraulic technologies, mechanical drive systems, industrial machine automation, and integrated manufacturing equipment.

The journal provides an interdisciplinary platform for researchers, academics, engineers, and industry professionals to disseminate original research addressing the design, modelling, analysis, optimization, implementation, automation, monitoring, and performance evaluation of actuators, mechanical systems, manufacturing machinery, and intelligent production equipment.

JIMACT emphasizes rigorous theoretical development, mechanical and fluid-power modelling, experimental investigation, computational simulation, intelligent actuation strategies, machine-level automation, sensor–actuator integration, and engineering validation. Particular attention is given to measurable improvements in machine performance, energy efficiency, reliability, productivity, adaptability, operational safety, and manufacturing capability.

The journal welcomes research integrating mechanical engineering, manufacturing engineering, mechatronics, fluid power, electrical drive technologies, industrial automation, instrumentation, and computational intelligence, provided that the primary scientific contribution concerns actuator technologies, manufacturing equipment, mechanical drive systems, machine performance, or the integration of actuation and automation technologies into production machinery.

JIMACT particularly encourages research addressing pneumatic and hydraulic actuators, electrohydraulic and electropneumatic systems, intelligent manufacturing machinery, advanced machine drives, actuator diagnostics, energy-efficient fluid power, mechanical system dynamics, automated manufacturing equipment, and integrated machinery technologies.

The journal also welcomes selected contributions from mechanical engineering and industrial automation, including advanced manufacturing processes, machine-tool technologies, PLC-based machinery control, intelligent machine monitoring, industrial robotic equipment, and cyber-physical manufacturing systems, when these studies demonstrate substantive advances in machinery design, actuator integration, machine automation, or engineering performance.

JIMACT aims to bridge fundamental research in actuation engineering, manufacturing machinery, mechanical systems, and industrial machine automation with experimentally validated industrial applications while maintaining a distinctive scientific identity and internationally relevant engineering standards.

Detailed Scope

1Actuator Design and Engineering
  • Mechanical, pneumatic, hydraulic, and electromechanical actuator design.
  • Actuator structural and functional modelling.
  • Linear and rotary actuator technologies.
  • Actuator force, torque, speed, and displacement characteristics.
  • Actuator efficiency and energy consumption.
  • Actuator sizing and engineering optimization.
  • Compact and lightweight actuator mechanisms.
  • Actuator performance characterization.
  • Actuator reliability and durability.
  • Novel actuator mechanisms and engineering applications.
  • Integrated actuator–machine design.
  • Actuator selection and optimization for manufacturing equipment.
2Pneumatic Systems and Technologies
  • Pneumatic actuator design and modelling.
  • Pneumatic cylinders and rotary actuators.
  • Compressed-air system performance.
  • Pneumatic circuit design and optimization.
  • Pneumatic valves and flow regulation.
  • Air leakage and pressure loss analysis.
  • Pneumatic system energy efficiency.
  • Pneumatic system dynamics and response.
  • Pneumatic equipment reliability.
  • Pneumatic actuation for manufacturing machinery.
  • Intelligent pneumatic equipment monitoring.
  • Pneumatic automation for production machinery.
3Hydraulic Systems and Fluid Power Engineering
  • Hydraulic actuator and cylinder technologies.
  • Hydraulic pumps, motors, and valves.
  • Fluid power transmission systems.
  • Hydraulic circuit modelling and simulation.
  • Hydraulic pressure and flow characteristics.
  • Hydraulic system efficiency and energy losses.
  • Hydraulic equipment reliability and fault diagnosis.
  • Hydraulic fluid dynamics and thermal effects.
  • Hydraulic power units and industrial machinery.
  • Energy-efficient hydraulic system design.
  • Intelligent hydraulic machinery.
  • Hydraulic actuation for automated manufacturing equipment.
4Electrohydraulic and Electropneumatic Systems
  • Electrohydraulic actuator systems.
  • Electropneumatic actuation technologies.
  • Servo-hydraulic and proportional hydraulic systems.
  • Solenoid valves and electronic actuation interfaces.
  • Integrated electrical and fluid power architectures.
  • Dynamic modelling of electrohydraulic systems.
  • Electropneumatic machinery integration.
  • Hybrid actuation technologies.
  • Sensor-integrated fluid power systems.
  • Performance validation of electrofluid actuation.
  • Electronic control of industrial fluid power equipment.
  • Intelligent electrofluid actuation for manufacturing machinery.
5Intelligent Manufacturing Machinery
  • Intelligent production machinery.
  • Smart machine design and integration.
  • Adaptive manufacturing equipment.
  • Intelligent machine operation and performance.
  • Sensor-integrated manufacturing machines.
  • Manufacturing machinery digital twins.
  • Advanced machine monitoring and diagnostics.
  • Machine performance optimization.
  • Reconfigurable manufacturing equipment.
  • Data-driven manufacturing machinery improvement.
  • Intelligent machine-tool systems.
  • Integrated mechanical, electrical, and automation architectures.
  • Machine-level decision support and adaptive operation.
  • Automated machinery performance evaluation.
6Manufacturing Equipment and Machine Drive Systems
  • Machine drive mechanisms.
  • Mechanical and electromechanical transmission systems.
  • Industrial motion and force transmission.
  • Machine feed mechanisms.
  • Actuator-driven production equipment.
  • Automated clamping and material handling mechanisms.
  • Industrial presses and forming machinery.
  • Manufacturing equipment performance and efficiency.
  • Machine drive integration and optimization.
  • Reliability of manufacturing equipment.
  • Mechanical power transmission and drive efficiency.
  • Integrated drive systems for automated machinery.
  • Machine-tool spindle systems and drive technologies.
  • Mechanical design and performance of industrial equipment.
7Intelligent Actuation and Adaptive Machinery
  • Adaptive actuator operation.
  • Intelligent actuator monitoring.
  • Data-driven actuator performance modelling.
  • Machine learning for actuator diagnostics.
  • Intelligent compensation of actuator nonlinearities.
  • Adaptive force and motion generation.
  • Smart actuation mechanisms.
  • Sensor-based actuator condition assessment.
  • Intelligent energy management of actuation systems.
  • Hybrid physics-based and data-driven actuator modelling.
  • Intelligent actuator coordination in manufacturing machinery.
  • Adaptive machine operation under changing loads.
  • Learning-assisted actuator and machinery performance optimization.
Artificial intelligence-based submissions must demonstrate substantive contributions to actuator behaviour, manufacturing machinery performance, machine automation, or intelligent actuation engineering rather than focusing exclusively on general-purpose algorithms.
8Actuator Dynamics and Performance Modelling
  • Dynamic modelling of actuator systems.
  • Nonlinear actuator behaviour.
  • Friction, hysteresis, and backlash in actuation.
  • Actuator response and transient characteristics.
  • Mechanical compliance and stiffness.
  • Fluid compressibility and pressure dynamics.
  • Force and displacement response analysis.
  • Thermal effects on actuator performance.
  • Multiphysics actuator modelling.
  • Experimental identification and validation of actuator models.
  • Coupled actuator–machinery dynamics.
  • Mechanical loading and actuator response.
  • Dynamic performance of automated manufacturing equipment.
9Energy-Efficient Actuation and Sustainable Machinery
  • Energy-efficient pneumatic and hydraulic systems.
  • Energy recovery in actuator systems.
  • Variable-speed hydraulic power units.
  • Compressed-air energy management.
  • Low-loss fluid power components.
  • Energy optimization of manufacturing equipment.
  • Sustainable actuator technologies.
  • Life-cycle performance of actuation systems.
  • Environmental impacts of fluid power technologies.
  • Energy-saving machinery architectures.
  • Energy-efficient automated manufacturing equipment.
  • Intelligent energy management in production machinery.
  • Resource-efficient mechanical drive systems.
10Sensors and Instrumentation for Actuation Systems
  • Force, pressure, displacement, and flow sensing.
  • Sensor integration in pneumatic and hydraulic equipment.
  • Actuator performance measurement.
  • Smart sensing for manufacturing machinery.
  • Data acquisition for actuation diagnostics.
  • Measurement uncertainty and calibration.
  • Actuator health monitoring.
  • Sensor fusion for machinery assessment.
  • Experimental instrumentation for fluid power.
  • Real-time actuator condition assessment.
  • Sensor–actuator integration in automated machines.
  • Industrial instrumentation for machinery control.
  • Intelligent feedback monitoring of manufacturing equipment.
11Reliability, Diagnostics, and Maintenance of Actuation Systems
  • Reliability assessment of actuators.
  • Pneumatic and hydraulic component degradation.
  • Actuator fault detection and diagnosis.
  • Predictive maintenance of manufacturing machinery.
  • Remaining useful life estimation of actuation components.
  • Seal wear and leakage assessment.
  • Hydraulic contamination and component wear.
  • Fault-tolerant actuator architectures.
  • Maintenance optimization for actuation equipment.
  • Life-cycle reliability of industrial machinery.
  • Condition-based maintenance of automated manufacturing equipment.
  • Machine fault diagnosis using sensor data.
  • Data-driven machinery degradation modelling.
  • Reliability-centred design of manufacturing equipment.
12Advanced Manufacturing Applications of Actuation Technologies
  • Actuation systems for machining equipment.
  • Pneumatic and hydraulic systems in assembly machinery.
  • Industrial pressing and forming equipment.
  • Actuator-driven packaging machinery.
  • Material handling and gripping equipment.
  • Actuation systems for additive manufacturing equipment.
  • Industrial robotic end-effectors and grippers.
  • Automated fixture and clamping mechanisms.
  • Intelligent actuation in flexible manufacturing.
  • Actuation technologies for specialized production equipment.
  • Automated manufacturing machinery integration.
  • Actuator-assisted machining and material processing.
  • Adaptive actuation in advanced manufacturing systems.
13Robotic Actuators and Manufacturing End-Effectors
  • Robotic actuator mechanisms.
  • Pneumatic and hydraulic robotic drives.
  • Industrial gripper design and characterization.
  • Soft robotic actuators for manufacturing applications.
  • Variable-stiffness actuator technologies.
  • Force-generation mechanisms for robotic equipment.
  • Actuator integration in robotic manufacturing systems.
  • Robotic end-effector performance optimization.
  • Reliability of robotic actuation components.
  • Novel manufacturing-oriented robotic actuation technologies.
  • Intelligent robotic gripping and material handling.
  • Actuator-based industrial robotic equipment.
Studies primarily addressing high-accuracy trajectory tracking or precision servo control without a substantive actuator or machinery contribution may be more suitable for a specialized precision mechatronics journal.
14Fluid Power Modelling and Computational Engineering
  • Computational fluid dynamics of hydraulic and pneumatic components.
  • Multiphysics simulation of fluid power systems.
  • Fluid–structure interaction in actuators.
  • Numerical modelling of valves and fluid passages.
  • Hydraulic pressure loss and flow optimization.
  • Pneumatic compressibility and transient flow.
  • Thermal-fluid behaviour of actuation systems.
  • Simulation-based actuator design.
  • Experimental validation of fluid power models.
  • Computational optimization of actuation equipment.
  • Coupled mechanical–fluid modelling of industrial machinery.
  • Computational analysis of fluid-powered manufacturing equipment.
15Digital Twins and Smart Monitoring of Manufacturing Equipment
  • Digital twins of manufacturing machinery.
  • Digital twins of pneumatic and hydraulic actuators.
  • Physics-based virtual models of actuation systems.
  • Sensor-driven machinery condition assessment.
  • Predictive performance modelling.
  • Real-time machinery health monitoring.
  • Virtual commissioning of manufacturing equipment.
  • Digital twin-assisted machinery optimization.
  • Data-driven machinery performance prediction.
  • Integrated physical–digital monitoring of production equipment.
  • Intelligent machine diagnostics and anomaly detection.
  • Digital representations of actuator-driven manufacturing systems.
Digital twin research must demonstrate a meaningful contribution to machine performance, actuator behaviour, equipment reliability, automation effectiveness, or manufacturing engineering.
16Mechanical Design and Dynamics of Manufacturing Machinery
  • This section integrates selected mechanical engineering topics from advanced manufacturing research.
  • Mechanical design and analysis of manufacturing machinery.
  • Machine structures, mechanisms, and mechanical assemblies.
  • Mechanical strength, stiffness, and deformation of industrial equipment.
  • Machine dynamics and vibration analysis.
  • Rotating machinery and spindle dynamics.
  • Mechanical transmission and drive-system design.
  • Structural integrity of manufacturing equipment.
  • Finite element analysis of machine components.
  • Mechanical design optimization for production machinery.
  • Dynamic loading and mechanical performance of manufacturing systems.
  • Mechanical wear, friction, and tribological behaviour of machine components.
  • Lightweight and energy-efficient machinery design.
  • Mechanical reliability and durability of industrial equipment.
  • Experimental validation of manufacturing machine structures.
Mechanical engineering studies must demonstrate a direct relationship to manufacturing machinery, actuator-driven equipment, or the performance of industrial mechanical systems.
17Advanced Manufacturing Processes and Machine-Tool Technologies
  • This section integrates selected manufacturing engineering topics from S5.
  • Advanced machining and manufacturing equipment.
  • CNC machine-tool systems and performance.
  • Milling, turning, grinding, drilling, and cutting technologies.
  • Machine-tool spindle performance and optimization.
  • Air turbine spindle systems for machining applications.
  • Tool wear monitoring and estimation.
  • Machining force measurement and modelling.
  • Manufacturing process monitoring and diagnostics.
  • Machine-tool energy consumption and efficiency.
  • Additive manufacturing machinery and equipment.
  • Hybrid manufacturing equipment and process integration.
  • Intelligent machining parameter optimization.
  • Manufacturing equipment accuracy and repeatability.
  • Automated inspection and machine-integrated quality monitoring.
  • Adaptive manufacturing machinery and process improvement.
  • Experimental validation of machine-tool technologies.
Studies focused exclusively on materials synthesis, fundamental metallurgy, or manufacturing process chemistry without a substantive machinery or equipment engineering contribution are outside the primary scope of JIMACT.
18Industrial Machine Automation and Control Integration
  • Industrial machine automation and equipment integration.
  • PLC-based control of manufacturing machinery.
  • Programmable automation controllers for machine operation.
  • Automated machine sequencing and interlocking.
  • Sensor–actuator integration in industrial machinery.
  • Machine-level feedback and supervisory control.
  • Intelligent machine operation and adaptive automation.
  • Automated assembly and production equipment.
  • Distributed control of actuator-driven manufacturing machines.
  • Real-time monitoring and control of machinery performance.
  • Industrial human–machine interfaces for manufacturing equipment.
  • Machine safety, fault detection, and protective control.
  • Automated material handling and production machinery.
  • Embedded controllers for intelligent industrial equipment.
  • Integration of mechanical drives, actuators, sensors, and controllers.
  • Experimental validation of machine automation systems.
This section incorporates selected areas of industrial automation from S6 while maintaining JIMACT's emphasis on manufacturing machinery and actuation systems. Research involving PLC, supervisory control, or industrial automation must demonstrate a substantive contribution to machinery functionality, actuator integration, machine performance, reliability, safety, or automation effectiveness. General PLC programming tutorials, routine SCADA implementation, or industrial networking studies without meaningful machinery-related engineering contributions are not within the principal scope of JIMACT.
19Cyber-Physical Manufacturing Machinery and Intelligent Equipment
  • Cyber-physical manufacturing equipment.
  • Smart manufacturing machinery and connected equipment.
  • Industrial IoT for machinery condition monitoring.
  • Edge intelligence for actuator-driven equipment.
  • Machine-level cyber-physical system integration.
  • Intelligent sensing and automated machinery operation.
  • Digital connectivity of manufacturing equipment.
  • Machine data acquisition and performance analytics.
  • Predictive diagnostics for connected production machinery.
  • Adaptive machinery operation using real-time sensor information.
  • Integration of digital twins with physical manufacturing equipment.
  • Interoperability of machine controllers and actuator systems.
  • Smart factory equipment with measurable machinery-level contributions.
  • Intelligent manufacturing equipment performance validation.
Industrial IoT and cyber-physical system studies must demonstrate a clear engineering contribution to manufacturing equipment, machine operation, actuator systems, or machinery reliability rather than focusing solely on communication architecture or general software development.
20Intelligent Manufacturing Equipment Optimization and Sustainability
  • Performance optimization of intelligent manufacturing machinery.
  • Energy-efficient operation of automated production equipment.
  • Machine utilization and equipment effectiveness improvement.
  • Data-driven optimization of actuator-driven machinery.
  • Adaptive machine operation and resource efficiency.
  • Manufacturing equipment life-cycle performance.
  • Machinery reliability and operational sustainability.
  • Waste reduction through improved machine performance.
  • Machine-level productivity and energy optimization.
  • Intelligent equipment maintenance and availability improvement.
  • Sustainable design of automated manufacturing machinery.
  • Optimization of mechanical and fluid power subsystems.
  • Experimental assessment of manufacturing equipment efficiency.
  • Integrated performance evaluation of intelligent production machines.
Studies in this area must demonstrate a substantial technical contribution to manufacturing equipment or machinery engineering. General production scheduling, supply chain management, and business operations optimization are outside the principal scope.

Journal History

Intelligent Manufacturing, Actuators, and Integrated Engineering Systems

The Journal of Intelligent Manufacturing and Actuation Systems (JIMACT) is being developed for its planned 2027 launch by Global Literacy Publishing (GLP), Indonesia, to provide a scholarly platform for research in intelligent manufacturing, advanced actuation systems, industrial robotics, manufacturing automation, and integrated engineering technologies.

The journal seeks to encourage interdisciplinary research, technological innovation, and international collaboration in advanced manufacturing and intelligent engineering systems. Its inaugural issue is planned for 2027.

Publisher: Global Literacy Publishing (GLP), Indonesia.

Peer review: Double-anonymous peer review · License: CC BY 4.0 · Frequency: Biannual.

Editorial Board

Editor-in-Chief

TK
Prof. Tomonori KatoEditor-in-ChiefHosei University, JapanProposed — subject to confirmation

International Editorial Advisors

KI
Prof. Kazuyuki ItoInternational Editorial AdvisorHosei University, JapanProposed — subject to confirmation
KE
Prof. Kei EguchiInternational Editorial AdvisorFukuoka Institute of Technology, JapanProposed — subject to confirmation
NA
Assoc. Prof. Ir. Dr. Nor Azlan OthmanInternational Editorial AdvisorUniversiti Teknologi MARA (UiTM), MalaysiaProposed — subject to confirmation

Managing Editor

DP
Dr. Dias Prihatmoko, S.T., M.Eng.Managing Editor (All 5 Journals)Universitas Islam Nahdlatul Ulama Jepara (UNISNU), IndonesiaProposed — subject to confirmation

Editorial appointments are subject to final confirmation (consent of each nominee). See also the GLP master editorial board.

Current Issue

The first issue of JIMACT is in preparation.
Submit your manuscript to be considered for Volume 1.

Archives

No issues have been published yet.

Submissions

Please read the focus and scope before submitting. Submissions are made through the journal's OJS site.

Article types

Original Research Articles

Original theoretical, computational, experimental, or empirical studies presenting significant advances in manufacturing machinery, actuation engineering, fluid power technologies, industrial machine automation, or intelligent production equipment.

Review Articles

Systematic, critical, or state-of-the-art reviews synthesizing developments in intelligent manufacturing machinery, actuation technologies, fluid power systems, and integrated machine automation, identifying scientific gaps and future research directions.

Methodological Articles

Studies introducing new modelling techniques, actuator design methodologies, machinery control frameworks, simulation methods, computational optimization approaches, or intelligent diagnostic procedures supported by rigorous validation.

Technical Research Articles

Research presenting validated engineering solutions involving manufacturing equipment, mechanical drive systems, actuator technologies, automated machinery, or industrial equipment performance, with identifiable scientific and practical contributions.

Short Communications

Concise reports of significant and sufficiently validated findings in intelligent manufacturing machinery, actuation systems, fluid power engineering, or integrated machine automation.

Scientific contribution requirements

Manuscripts submitted to JIMACT are expected to demonstrate:

  • A clearly defined engineering problem involving manufacturing machinery, actuation technologies, fluid power systems, mechanical drives, or industrial machine automation.
  • An identifiable theoretical, methodological, computational, experimental, or engineering contribution.
  • Appropriate analytical, numerical, experimental, or industrial validation.
  • Quantitative performance assessment using relevant engineering metrics such as actuator force, response time, energy consumption, machine productivity, machining accuracy, equipment efficiency, reliability, vibration, machine availability, or operational performance.
  • Meaningful comparison with established methods, existing equipment, baseline models, or reference technologies where applicable.
  • Clear discussion of the scientific contribution, practical engineering significance, limitations, and reproducibility of the research.

How to submit

  1. Check scope against the 20 research areas.
  2. Prepare the manuscript following the author guidelines.
  3. Submit through the online submission site (register or log in first).
  4. Peer review — double-anonymous peer review, at least two reviewers.

Author Guidelines & Checklist (OJS) · APC: FREE ($0)

Author Guidelines

Journal of Intelligent Manufacturing and Actuation Systems · Published by Global Literacy Publishing

Author Guidelines

PT Global Literacy Publishing (GLP)

1. General Information

GLP journals welcome original scholarly manuscripts within the aims and scope of the selected journal. Manuscripts may be submitted in English or Bahasa Indonesia for initial editorial consideration; the official publication language is English (see the language requirements below). Manuscripts must not be simultaneously submitted elsewhere and must comply with publication ethics and editorial policies.

2. Manuscript Types

Original Research Articles

Review Articles (including systematic and critical reviews)

Methodological Articles

Technical Research Articles

Short Communications (where accepted by the selected journal)

Available manuscript types may vary according to the individual journal’s aims and scope.

3. Manuscript Preparation

Prepare the manuscript using the official GLP Master Manuscript Template v1.0 in editable Microsoft Word (.docx) format. Use A4 paper, a single-column main text, and the first-page journal-information sidebar provided in the template. Remove author names and affiliations from the manuscript file: GLP uses double-anonymous peer review (see Section 7).

ComponentRequirement
LanguageEnglish (publication); initial submission may be in English or Bahasa Indonesia
Paper / layoutA4 / single-column main text
FontTimes New Roman; follow the element-specific sizes in Table 1 of the official template
AbstractOne paragraph, 150–250 words
Keywords5–8 relevant keywords
CitationsNumerical square brackets: [1], [2,3], [4–6]
FiguresConsecutively numbered; captions below figures
TablesConsecutively numbered; captions above tables
EquationsEditable; centered with consecutive numbers at the right margin

4. Manuscript Structure

Article title, full author names, affiliations, and corresponding-author details

Abstract (150–250 words) and 5–8 keywords

1. Introduction — context, literature, research gap, objectives, and contribution

2. Materials and Methods — research design and reproducible procedures

3. Results — findings, evidence, tables, and figures

4. Discussion — interpretation, comparison with literature, implications, and limitations

5. Conclusion — concise summary of supported findings and contributions

Author Contributions, Funding, Acknowledgments (if applicable), Conflict of Interest, AI Use Statement, and References

Ethics approval and informed consent must be reported where applicable. A separate Data Availability Statement is not required by the GLP master template.

5. Figures, Tables, and Equations

Cite each figure and table in the text. Place figures near their first mention and provide captions below; place table captions above. Use editable Word tables, preferably with minimal horizontal rules and no unnecessary vertical borders. Multi-panel figures should identify panels as (a), (b), etc. Mathematical expressions should use Word Equation or an equivalent editable format and be numbered (1), (2), etc.

6. References and Citations

Number references by first appearance in the manuscript. Cite sources in square brackets, for example [1], [1–3], and [1,3]. Include complete bibliographic details and DOI links when available. Follow the reference examples in the official template. Reference-management tools such as Zotero, Mendeley, and EndNote are recommended.

7. Double-Anonymous Peer Review

GLP journals use double-anonymous peer review: authors and reviewers are not identified to each other during review, and reviewers’ identities are not disclosed to authors. Submit a fully anonymized manuscript — no author names, affiliations, contact details, or acknowledgments revealing identity, and no identifying information in file properties — and enter author names, affiliations, and corresponding-author details in the submission metadata (Contributors step) instead. A separate title-page file is not required. Manuscripts passing editorial screening are normally evaluated by at least two independent reviewers.

8. Publication Ethics

Plagiarism, fabrication, falsification, duplicate submission, inappropriate authorship, and undisclosed conflicts of interest are prohibited. Studies requiring ethics approval or informed consent must provide the relevant information.

9. Artificial Intelligence Use

Disclose AI assistance in the AI Use Statement as specified in the template, identifying the tool and purpose where used. AI tools cannot be authors. Human authors remain responsible for accuracy, originality, confidentiality, and integrity.

10. Article Processing Charges

Current policy: No APC (FREE, $0). There are no submission, editorial assessment, peer review, processing, or publication fees under this policy. Any future fee changes will be announced transparently on the relevant journal website and will not apply retroactively to submissions accepted under the No APC policy.

11. Manuscript Submission

Submit the anonymized manuscript (.docx) through the selected journal’s OJS submission portal and enter complete author details in the submission metadata. Upload supplementary material or separate high-resolution figures only when requested. Confirm all author metadata, declarations, and permissions before submission.

12. Editorial Decisions

Submissions undergo editorial screening, peer review, and a final editorial decision. Outcomes may include acceptance, minor revision, major revision, or rejection. Accepted articles undergo copyediting and proofreading.

13. Copyright and Open Access

Authors retain copyright and grant the journal a non-exclusive right of first publication. Published articles use the Creative Commons Attribution 4.0 International (CC BY 4.0) License. The article copyright notice identifies PT Global Literacy Publishing as publisher.

Reviewer Guidelines

Journal of Intelligent Manufacturing and Actuation Systems · Published by Global Literacy Publishing

Reviewer Guidelines

Global Literacy Publishing (GLP)Guidelines for Peer Reviewers

1. Introduction

Global Literacy Publishing (GLP) is committed to maintaining the scientific quality, integrity, and credibility of the scholarly journals under its management.

Peer reviewers play an essential role in evaluating the originality, scientific contribution, methodological rigor, and overall quality of submitted manuscripts.

These guidelines provide a consistent framework for conducting objective, constructive, confidential, and ethical peer review.

2. Peer Review Model

All GLP journals adopt a double-anonymous peer review process: authors and reviewers are not identified to each other. Reviewer identities are not disclosed to authors, and reviewers must not attempt to establish author identities.

Under this model:

Reviewers are informed of the authors' identities and affiliations.

Reviewers' identities remain confidential to authors.

Reviewers must provide objective evaluations based on the scientific merits of the manuscript.

Reviewers must not disclose manuscript content or their participation in the review process without editorial authorization.

Manuscripts that pass the initial editorial screening are normally evaluated by at least two independent reviewers with relevant expertise.

The final editorial decision is made by the Editor-in-Chief or an authorized handling editor.

3. Reviewer Responsibilities

Reviewers are expected to:

Evaluate manuscripts objectively, fairly, and professionally.

Assess the scientific originality and significance of the research.

Examine the appropriateness and reliability of the research methodology.

Evaluate the validity of the results and conclusions.

Provide clear, constructive, and evidence-based comments.

Maintain the confidentiality of unpublished manuscripts.

Declare any potential conflicts of interest.

Complete reviews within the agreed timeframe.

Inform the editor when a manuscript falls outside their area of expertise.

Avoid personal criticism, discriminatory remarks, or inappropriate requests for citations.

Reviewers should not use unpublished findings, data, or ideas obtained through peer review for personal or professional advantage.

4. Reviewer Invitation and Acceptance

Before accepting a review invitation, reviewers should consider:

Whether the manuscript falls within their expertise.

Whether they have sufficient time to complete a meaningful review.

Whether any personal, professional, financial, or institutional conflict of interest exists.

Whether they can maintain the confidentiality of the manuscript.

Reviewers who are unable to complete the review should decline the invitation promptly so that the editor can appoint another reviewer.

Reviewers should evaluate manuscripts against the official GLP single-column template: Introduction, Materials and Methods, Results, Discussion, and Conclusion; 150–250-word abstract; 5–8 keywords; editable numbered equations; and numbered figures, tables, and references. Formatting issues should be distinguished from substantive scientific concerns.

5. Manuscript Evaluation Criteria

Reviewers should evaluate manuscripts according to the following criteria.

5.1 Relevance to the Journal's Scope

The manuscript should address topics relevant to the journal's aims and scope.

5.2 Originality and Scientific Contribution

The manuscript should present original findings, meaningful methodological developments, new scientific insights, or substantial contributions to existing knowledge.

5.3 Research Methodology

The research design, experimental procedures, datasets, mathematical models, computational methods, or analytical approaches should be appropriate and sufficiently explained.

5.4 Results and Validation

Results should be presented clearly and supported by appropriate evidence.

Where relevant, reviewers should assess the adequacy of experimental validation, statistical analysis, benchmarking, uncertainty assessment, or model evaluation.

5.5 Discussion and Interpretation

The discussion should interpret the findings critically, compare them with relevant literature, and acknowledge important limitations.

5.6 Conclusions

Conclusions should be consistent with the presented results and should not contain unsupported claims.

5.7 References

References should be relevant, accurate, sufficiently current where appropriate, and properly cited.

Reviewers must not request unnecessary citations to their own publications or those of colleagues.

5.8 Presentation and Organization

The manuscript should demonstrate logical organization, clear academic writing, appropriate figures and tables, and consistent terminology.

6. Reviewer Evaluation Form

Reviewers are encouraged to use the following evaluation criteria when assessing manuscripts.

Evaluation CriterionRating
Relevance to journal scope1–5
Originality and novelty1–5
Scientific contribution1–5
Methodological rigor1–5
Results and validation1–5
Discussion and conclusions1–5
References and literature coverage1–5
Clarity and presentation1–5

Rating scale:

1 = Poor2 = Fair3 = Satisfactory4 = Good5 = Excellent

Ratings support the review process but do not automatically determine acceptance or rejection.

7. Reviewer Comments

Reviewers should provide comments in two categories.

A. Comments to Authors

These comments should explain the manuscript's strengths, weaknesses, and necessary improvements.

Reviewers are encouraged to identify:

Major scientific or methodological concerns.

Missing validation or insufficient evidence.

Problems with interpretation or conclusions.

Suggestions for improving clarity and presentation.

B. Confidential Comments to the Editor

Reviewers may provide confidential observations concerning ethical concerns, suspected research misconduct, major methodological deficiencies, or other issues relevant to the editorial decision.

Confidential comments should not contradict the substantive assessment communicated to the authors.

8. Reviewer Recommendations

After completing the evaluation, reviewers may recommend one of the following:

Accept: The manuscript meets the journal's scientific and editorial standards and requires no substantive revision.

Minor Revision: The manuscript is scientifically sound but requires limited corrections or clarifications.

Major Revision: The manuscript has potential scientific merit but requires substantial improvements, additional analysis, or stronger validation.

Reject: The manuscript has fundamental scientific, methodological, ethical, or scope-related deficiencies that cannot reasonably be addressed through revision.

Reviewer recommendations are advisory. The final decision remains the responsibility of the Editor-in-Chief or an authorized handling editor.

9. Review Timeline

Reviewers should complete their evaluations within the timeframe specified in the review invitation.

As an initial operational target, GLP recommends a 14–21-day review period, subject to reviewer availability and the complexity of the manuscript.

Reviewers who require additional time should inform the editorial team as early as possible.

The journal does not guarantee a fixed review completion or publication date.

10. Confidentiality and Research Integrity

Submitted manuscripts are confidential scholarly documents.

Reviewers must not:

Share manuscripts with unauthorized individuals.

Disclose unpublished findings or research data.

Use manuscript content for personal research without permission.

Contact authors directly regarding the review without editorial authorization.

Upload confidential manuscript content to external AI tools without explicit authorization and appropriate confidentiality safeguards.

Suspected plagiarism, duplicate publication, fabricated data, image manipulation, or other research integrity concerns should be reported confidentially to the editor.

Reviewers should provide supporting explanations rather than making unsupported allegations.

11. Conflicts of Interest

Reviewers must disclose any circumstances that could compromise their impartiality, including:

Close personal or professional relationships with authors.

Recent or ongoing research collaborations.

Direct financial or commercial interests.

Competitive interests that could affect objective judgment.

Other circumstances creating actual or perceived conflicts.

Reviewers should decline assignments when an appropriate level of independence cannot be maintained.

12. Use of Artificial Intelligence in Peer Review

Reviewers remain personally responsible for their assessments and recommendations.

Generative AI tools must not be used to replace independent scientific judgment.

Reviewers must not submit confidential manuscripts or unpublished research data to public or external AI systems without explicit editorial authorization and adequate data protection arrangements.

Any authorized AI assistance must comply with the journal's confidentiality, research integrity, and AI-use policies.

13. Ethical and Constructive Reviewing

Reviewers should maintain a respectful and professional tone.

Constructive reviews should identify specific concerns and explain how authors may address them.

Reviewers should distinguish between essential scientific corrections and optional suggestions.

Reviewers must not impose personal preferences or demand unnecessary additional experiments that are unrelated to the manuscript's principal scientific claims.

14. Reviewer Recognition

GLP values the voluntary contributions of peer reviewers to scholarly publishing.

Subject to reviewer consent and confidentiality requirements, the publisher may recognize reviewer contributions through certificates of appreciation or other appropriate forms of acknowledgment.

Recognition must not compromise reviewer anonymity or editorial independence.

15. Final Editorial Responsibility

Peer reviewers provide independent scientific assessments and recommendations.

The Editor-in-Chief or an authorized handling editor is responsible for making the final editorial decision after considering the manuscript's scientific quality, reviewers' comments, ethical compliance, and journal policies.

Editorial decisions must remain independent of financial considerations, author affiliations, and institutional influence.

Publisher: PT Global Literacy Publishing (GLP)Peer Review Model: Double-anonymousStandard Reviewer Assignment: Normally at least two independent reviewersArticle Processing Charges: Free ($0)

Peer Review Process

Journal of Intelligent Manufacturing and Actuation Systems · Published by Global Literacy Publishing

Peer Review Process

All manuscripts submitted to the journal undergo double-anonymous peer review: authors and reviewers are not identified to each other during review, insofar as anonymity is feasible, and reviewers’ identities remain confidential to authors. Authors submit an anonymized manuscript using the official GLP template — without author names, affiliations, or identifying information — and enter author details in the submission metadata only.

1. Initial Editorial Screening. The editorial team assesses each submission for relevance to the journal’s aims and scope, originality, scientific quality, manuscript preparation, and compliance with publication ethics and journal policies. Manuscripts that do not meet these requirements may be returned for correction or declined before external review.

2. Independent Peer Review. Manuscripts that pass screening are normally evaluated by at least two independent reviewers with relevant expertise. Reviewers assess the research contribution, methodological rigor, adequacy of evidence, interpretation of findings, and clarity of presentation.

3. Editorial Decision and Revision. Based on the reviewers’ reports and the journal’s editorial standards, the Editor-in-Chief or an authorized handling editor may decide to accept, request minor revision, request major revision, or reject a manuscript. Authors invited to revise should submit a revised manuscript and a point-by-point response to reviewer comments. Further review may be requested when necessary.

4. Confidentiality and Editorial Independence. Reviewers must keep manuscripts confidential, disclose potential conflicts of interest, and provide objective, constructive assessments. Reviewers’ recommendations are advisory; the final editorial decision rests with the Editor-in-Chief or an authorized handling editor and is based on scientific merit and ethical compliance.

5. After Acceptance. Accepted manuscripts proceed to copyediting, proofreading, and publication preparation in accordance with the journal’s policies and the official GLP manuscript template.

Manuscript flow

  1. Manuscript submission — in English or Bahasa Indonesia via the journal's OJS site; the manuscript file is anonymized (double-anonymous review).
  2. Initial editorial screening — scope, originality, and scientific quality.
  3. Peer review — at least two independent qualified reviewers.
  4. English manuscript — translation and language revision when the submission was in Bahasa Indonesia.
  5. Final editorial decision & production — copyediting, proofreading, and English-only publication.

Article Processing Charges (APC)

Journal of Intelligent Manufacturing and Actuation Systems · Published by Global Literacy Publishing

Article Processing Charges (APC)

All journals published by Global Literacy Publishing (GLP) currently operate under a No Article Processing Charges (No APC) policy.

Authors are not required to pay any fees for manuscript submission, peer review, article processing, or publication.

All manuscripts are evaluated based on scientific quality, originality, and relevance to the journal's aims and scope.

APC: FREE ($0)

Any future changes to this policy will be announced on the official journal website and will not affect manuscripts submitted under the No APC policy.

Announcements

Call for Papers 2027 — JIMACT →

Call for Papers — JIMACT

Journal of Intelligent Manufacturing and Actuation Systems invites original research articles, reviews, methodological and technical articles, and short communications for its first volume.

Call for Papers 2027

Journal of Intelligent Manufacturing and Actuation Systems (JIMACT) invites original research articles, review articles, methodological studies, and technical research papers within its stated aims and scope.

Inaugural issue: June 2027 (Wave 2) · Submissions open: December 1, 2026 (year-round thereafter).

Submission deadlines: Volume 1, No. 1 (June 2027): April 30, 2027 · Volume 1, No. 2 (December 2027): October 31, 2027. Submissions received after a deadline are considered for the following issue.

Publication language: English (initial submission may be in English or Bahasa Indonesia) · Peer review: Double-anonymous peer review · Open Access: CC BY 4.0 · APC: FREE ($0).

Research Areas

  • Actuator Design and Engineering
  • Pneumatic Systems and Technologies
  • Hydraulic Systems and Fluid Power Engineering
  • Electrohydraulic and Electropneumatic Systems
  • Intelligent Manufacturing Machinery
  • Manufacturing Equipment and Machine Drive Systems
  • Intelligent Actuation and Adaptive Machinery
  • Actuator Dynamics and Performance Modelling
  • Energy-Efficient Actuation and Sustainable Machinery
  • Sensors and Instrumentation for Actuation Systems
  • Reliability, Diagnostics, and Maintenance of Actuation Systems
  • Advanced Manufacturing Applications of Actuation Technologies

Submission Guidelines

Authors should follow the Author Guidelines. Submissions are made via the journal's OJS submission site.

Questions: [email protected]. Publication is subject to peer review and editorial acceptance. No indexing or accreditation status is claimed.

Contact

Editorial office

Journal of Intelligent Manufacturing and Actuation Systems
Global Literacy Publishing
Kalipucang Kulon, RT 006/RW 004, Welahan District, Jepara Regency, Central Java, Indonesia

WhatsApp: +62 896-8378-3115

Principal contact

Dr. Dias Prihatmoko, S.T., M.Eng.
Managing Editor
Universitas Islam Nahdlatul Ulama Jepara (UNISNU), Indonesia