International Journal of Industrial Engineering and Operations Management

Aims & Scope

The International Journal of Industrial Engineering and Operations Management (IJIEOM) aims to publish high-quality papers in the field of Industrial Engineering and Operations Management to serve as a platform for academics, researchers, scientists and practitioners to exchange innovative ideas and share experiences to bridge the gap between the industrial engineering and operations management theory and its application to solve the most current problems and challenges faced by 21st-century organizations and societies.

IJIEOM’s scope covers academic research and industrial issues/applications related to fundamentals of various industrial engineering and operations management topics which include, but are not limited to: -Artificial Intelligence- Business and Process Excellence- Construction Management- Data Analytics- Decision Sciences- Energy and Resource Efficiency- Facilities Planning and Management- Healthcare Systems- Manufacturing Applications- Human Factors and Ergonomics- Industry 4.0- Inventory Management- Knowledge Management- Lean and Six Sigma- Logistics, Transport and Traffic Management- Modeling and Simulation- Operations Research- Production Planning and Control- Project Management- Quality, Reliability and Maintenance- Service Systems and Service Management- Supply Chain Management- Sustainability and Green Systems- Sustainable Manufacturing- Systems Engineering

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences, Energy and Engineering, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Decision Sciences, Energy and Engineering, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Future of healthcare start-ups in the era of digitalization: bibliometric analysis

  Citation: 27

  Authors: Aswathy, M.

• Maturity and resilience in supply chains: a systematic review of the literature

  Citation: 19

  Authors: Luiz Carlos, Guilherme F., Maykon Luiz Nascimento

• The effect of sustainable manufacturing on environmental performance through government regulation and eco-innovation

  Citation: 16

  Authors: Aris Nur, Ilyas, Fien, Dian Palupi, S. Sarifah Radiah

• Exploring behavioural bias affecting investment decision-making: a network cluster based conceptual analysis for future research

  Citation: 16

  Authors: Anshita, Manoranjan, Sanjay Kumar, Kamalakanta, Anil, Sunil

• Measuring performances through multiplicative functions by modifying the MEREC method: MEREC-G and MEREC-H

  Citation: 16

  Authors: Nuh

• Subscription-based business models in the context of tech firms: theory and applications

  Citation: 16

  Authors: Christoffer Weland Johannes, Behzad, Pietro

• Model of multiperiod production-distribution for closed-loop supply chain considering carbon emission and traceability for agri-food products

  Citation: 14

  Authors: Rahmi, Ilyas, Ahmad, Dwi Iryaning

• The effects of digital business strategy on the collaboration performance of companies: the moderating effect of digitally enabled performance measurement

  Citation: 12

  Authors: Mira, Minna, Juhani

• Digital technologies and food supply chain: a scoping view from 2010 to 2024

  Citation: 12

  Authors: Rashmi Ranjan, Neha, Kamalakanta

• Predicting Patient Waiting Time in the Queue System Using Deep Learning Algorithms in the Emergency Room

  Citation: 10

  Authors: Hassan, Richard