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Journal Photo for International Journal of Industrial Engineering: Theory, Applications and Practice
Peer reviewed only Open Access

International Journal of Industrial Engineering: Theory, Applications and Practice (IJIE)

Publisher : Pusan National University
Industrial Engineering Data mining
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e-ISSN 1943-670X
p-ISSN 1072-4761
Issue Frequency Quarterly
Impact Factor 1.2
Est. Year 1994
Mobile 82515120311
Country Korea South
Language English
APC YES
Impact Factor Assignee Google Scholar
Email ijietap.office@pnu.edu

Journal Descriptions

The International Journal of Industrial Engineering: Theory, Applications and Practice publish original, quality articles reporting advances in industrial engineering theory, techniques, methodology, applications, and practice; general surveys and critical reviews; educational or training articles, including case studies; short communications; keynote papers; book reviews; announcements; etc., concerned with traditional aspects and recent advances in Industrial Engineering.

International Journal of Industrial Engineering: Theory, Applications and Practice (IJIE) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Industrial Engineering, Data mining , Online or Print , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1072-4761, E-ISSN: 1943-670X, Established: 1994, Impact Factor: 1.2
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of IJIE

Implementation of Head Orientation Intelligent Controller for Wheelchair using MEMS Sensor
N. DHANASEKAR April, 2017
Software Tools for Analyzing the Integration of Various Renewable Energy Systems
M. SURESH February, 2026
Fault Detection and Monitoring of Solar PV Panels using Internet of Things
M. SURESH February, 2026
MODELLING AND DECISION SUPPORT SYSTEM FOR INTELLIGENT MANUFACTURING: AN EMPIRICAL STUDY FOR FEEDFORWARD-FEEDBACK LEARNING-BASED RUN-TO-RUN CONTROLLER ...
Marzieh Khakifirooz October, 2018
This study aims to address the formation of various decision models based on modeling, analytics, and optimization techniques for intelligent manufacturing and smart production. Indeed, smar...
Modelling and decision support system for intelligent manufacturing: An empirical study for feedforward-feedback learning-based run-to-run controller ...
Marzieh Khakifirooz January, 2018
Shrinkage in semiconductor devices affects the process window of all wafer fabrication steps including plasma etching. Drifts or shifts are most significant effects on the etching process du...