HomeSearchمهندسی صنایع و مدیریت شریف

مهندسی صنایع و مدیریت شریف

Sharif University Of Technology · Iran, Islamic Republic of · Est. 2017

ISSN2676-4741eISSN2676-475X
DOAJOpen Access
15
/ 100
High Risk
Score Breakdown
DOAJ Verified+15
Total15
H-Index
1
Total Works
318
Total Citations
14
2yr Mean Citedness
0.02
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Aims & Scope✦ Inferred from recent articles

This journal focuses on the application of operations research, mathematical modeling, and data-driven techniques to solve complex problems in various industrial and management sectors. Articles frequently address optimization, resource allocation, quality management, supply chain logistics, and decision-making under uncertainty, often incorporating sustainability and environmental considerations. The journal also features research on the implementation of advanced analytical methods, including machine learning and simulation, to improve efficiency, reduce costs, and enhance performance in diverse industries such as healthcare, manufacturing, mining, and telecommunications.

AI-summarised from recent articles · verify on publisher page →

General Information

Country / RegionIran, Islamic Republic of
Primary LanguagePersian
1st Year Published2017
StatusActive (last: 2025)
Total Publications318
OA Since2018
Visit Journal Website

Submission Info

Peer ReviewPeer review
Review Time
Acceptance Rate
OA LicenseCC BY
OA Rate

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

8/12 · 67%
Do you know the journal / publisher?
Sharif University Of Technology
Does the journal have a website?
✓ Linked
Is the ISSN verified?
2676-4741 / 2676-475X
Indexed in a trusted database?
DOAJ
Peer review process documented?
Peer review
Follows ethical publishing standards (COPE)?
N/A
APC fees clearly disclosed?
N/A
Not on predatory/blacklists?
✓ Clean
Long-term digital preservation?
N/A
Plagiarism detection in place?
N/A
Listed in DOAJ (verified OA)?
DOAJ verified
Primary language documented?
Persian

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Linguistic, Cultural, and Literary StudiesLegal and Regulatory AnalysisMilitary Technology and StrategiesResource-Constrained Project SchedulingOptimization and Mathematical ProgrammingVehicle Routing Optimization MethodsAdvanced Manufacturing and Logistics OptimizationAssembly Line Balancing OptimizationAdvanced Neural Network ApplicationsMulti-Criteria Decision Making
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Data updated: 2026-05-26 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref