Advances in Industrial Engineering

Advances in Industrial Engineering

Advances in Industrial Engineering

Journal Archive

Issue 1
June 2026, Pages 1-274

 

Number of Volumes 18
Number of Issues 46
Number of Articles 461
Number of Contributors 941
PDF Download 909,293
PDF Download Per Article 1972.44
Number of Submissions 1,898

The journal of Advances in Industrial Engineering (AIE) is an international, multidisciplinary, peer-reviewed, open-access, Semiannual journal in English dedicated to the fields of industrial engineering, operations research, mathematical modelling and optimization techniques, published by the University of Tehran Press. The journal is dedicated to publishing original research articles, review papers, and other scholarly contributions, considering the research ethics and academic standards.

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About the Journal:

Journal Title: Advances in Industrial Engineering

Former Title: The journal was formerly titled "Journal of Industrial Engineering" (Nashriyyah-i muhandisī-i ṣanāyi) from its inception until Volume 53, Issue 2 (Spring 2019), during which time it published articles in Persian. It now publishes papers in English. Online ISSN: 2423-6888.
Country of Publication: Iran, Tehran.

Publisher: University of Tehran Press

Scientific Sponsorship Society: --

Subject Area: Industrial Engineering, Operations Research, Mathematical Modelling, Optimization Techniques, Production Planning and Scheduling, Supply Chain Management, Simulation and Decision Analysis, Quality and Reliability Engineering, Logistics and Transportation Systems, Human Factors and Ergonomics.

Format: Online

Online ISSN: 2783-1744

Frequency: Semiannual

Publishing Schedule: June and December

Language:  English 

Open Access: Yes, free access to articles

Article types: Research and review papers.

Primary Review: Approximately 10 days.

Peer Review Policy: Double-blind peer-review

Average Refereeing Time: 24 weeks

Acceptance Rate: 20%

Article Processing Charges: No Article Publication Charges (APCs). 

Citation Style: The APA citation style

Website: https://aie.ut.ac.ir

Email: jieng@ut.ac.ir  

Tel: +98(0)21 88956097

Address: Office of the journal of Advances in Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. Postal code: 11155-4563

Indexing & Abstracting: ISSN-ROAD, Islamic World Science Citation Center (ISC), National Digital Archives of Iranian Scholarly Journals, Noormags, Magiran, Google Scholar, Academia, LinkedIn, etc.

COPE: The journal of Advances in Industrial Engineering (AIE) follows the policies and guidelines of the Committee on Publication Ethics (COPE) and abides by its Code of Conduct in dealing with potential cases of misconduct.

Copyright: Authors retain unrestricted copyrights and publishing rights.

Type of License: Creative Commons— Attribution 4.0 International (CC-BY 4.0).

Required files to upload: Authors must submit the following five essential files through the manuscript submission system: 1. Main Manuscript File (without the author details and prepared based on the provided template. 2. Title Page, 3. Authorship Form (must include the article title, full names of all authors, and be signed by all authors), 4. Conflicts of Interest Form (must be signed by the Corresponding Author and uploaded with the Main Manuscript File), and 5. Cover Letter (Please include any necessary information in the cover letter).                                            

Most Visited Articles
Supply Chain and Predictability of Return
A Hybrid Decision-Making Framework to Manage Human Assets in Project Teams Considering Competency Criteria Based on Industry 4.0 and Post-COVID-19 Era
Circular Economy and Sustainability: A Comprehensive Analysis
Targeted Vaccination for Covid-19 Based on Machine Learning Model: A Case Study of Jobs' Prioritization
Solving MDVRP Using Two-Step Clustering: A Case Study of Pharmaceutical Distribution in Tehran
A Data-Driven Pricing Model for Distribution Systems Considering Competition
An Integrated Markovian Queueing-Inventory Model in a Single Retailer- Single Supplier Problem with Imperfect Quality and Destructive Testing Acceptance Sampling
Optimizing a Hub Arc Location Problem with Set-up Cost and Isolated Hub Nodes
Current Issue: Volume 60, Issue 1, June 2026, Pages 1-274 

Keywords Cloud

  • Supply Chain
  • Genetic Algorithm
  • Robust optimization
  • pricing
  • Supply Chain Management
  • Game theory
  • Scheduling
  • Supplier Selection
  • Uncertainty
  • Data Envelopment Analysis
  • Inventory Control
  • TOPSIS
  • uncertainty
  • sustainability
  • Scheduling
  • Simulated Annealing
  • Efficiency
  • Data Mining
  • Statistical Process Control
  • Heuristic algorithm
  • Vehicle routing problem
  • Multi-objective optimization
  • Production Planning
  • Facility location
  • maintenance
  • Fuzzy logic
  • reliability
  • time series
  • Supply Chain Coordination
  • Energy consumption
  • Simulated annealing algorithm
  • Artificial neural networks (ANNs)
  • Closed-Loop Supply Chain
  • Goal Programming
  • Humanitarian Logistics
  • Project Portfolio Selection
  • Routing
  • forecasting
  • Expert system
  • Data Envelopment Analysis (DEA)
  • Taguchi Method
  • reliability
  • Multi-Objective Programming
  • Project scheduling
  • Mathematical Modeling
  • Location-routing problem
  • Disaster management
  • Network Design
  • Imperialist competitive algorithm
  • Deterioration
  • EWMA
  • resilience
  • Reverse logistics
  • Construction projects
  • prediction
  • Time window
  • Phase II
  • Genetic algorithm
  • Repair
  • fuzzy regression
  • waiting time
  • Project management
  • Preventive maintenance
  • Artificial Neural Network
  • Deteriorating items
  • Benders decomposition
  • DEMATEL
  • renewable energy
  • Production Scheduling
  • coordination
  • Stochastic Programming
  • System Dynamics
  • optimization
  • Rework
  • Shortage
  • Analytic Hierarchy Process
  • Performance Evaluation
  • customer segmentation
  • Mathematical Programming
  • neural networks
  • Meta-heuristic algorithm
  • Sustainable Development
  • Inventory
  • Portfolio optimization
  • Green supply chain
  • NSGA-II
  • Revenue management
  • MCDM
  • Backorder
  • Order allocation
  • Critical Success Factors
  • Bullwhip Effect
  • Perishable products
  • Knowledge Management
  • value function
  • Mathematical modeling
  • Demand Management
  • Average run length
  • Customer Satisfaction
  • Polynomial profile
  • Fuzzy goal programming
  • Truck scheduling
  • balanced scorecard
  • Acceptance sampling
  • Search and Rescue
  • Reverse Logistic
  • Artificial Neural Network
  • Estimation Effect
  • Augmented ε-constraint method
  • Change point estimation
  • Statistical Process Monitoring
  • Home Health Care
  • Simultaneous pickup and delivery
  • Option contract
  • simulation
  • Stackelberg
  • Perishable items
  • Mathematical model
  • Balancing
  • location
  • Waste Reduction
  • Aggregate production planning
  • RFM Model
  • Genetic Algorithm
  • Logistic regression
  • Nurse Scheduling
  • AHP
  • risk
  • process mining
  • VIKOR Technique
  • Particle Swarm Algorithm
  • Theory of constraints
  • Hub location
  • Optimization
  • Circular economy
  • Integer linear programming
  • Variable neighborhood search
  • Deep learning
  • Intuitionistic fuzzy set
  • Location
  • meta-heuristic methods
  • Forecast
  • Particle Swarm Optimization
  • Fresh product supply chain
  • Design of experiments
  • Neural Network
  • Blood supply chain management
  • Marketing
  • Lot-sizing
  • Optimization Algorithm
  • Integrated supply chain
  • Interval-Valued Fuzzy Sets
  • Resource Allocation
  • Mixed integer linear programming
  • Hub location problem
  • Meta-model
  • Decision making
  • Genetic Algorithm (GA)
  • Interval data
  • Rule-based systems
  • NSGA II
  • Queuing theory
  • Two-stage stochastic programming
  • EOQ
  • Metaheuristics
  • Best-Worst Method
  • modeling
  • Particle Swarm Optimization Algorithm
  • Product configuration
  • Cross-training
  • Economic production quantity
  • Stochastic demand
  • resiliency
  • CUSUM
  • Control chart
  • imprecise data
  • Stackelberg game
  • particle swarm optimization
  • Multi Criteria Decision Making
  • Supply chain flexibility
  • Optimization
  • Assignment
  • risk management
  • Multiple objective programming
  • Disruption
  • Game theory
  • Parallel machines
  • subsidy
  • Fuzzy AHP
  • project selection
  • BWM
  • MOPSO
  • Human resource management
  • Profile monitoring
  • Gas Leakage
  • Block Chain Based Platforms
  • Lagrangean multipliers
  • Resourcing in Different Ways
  • hybrid
  • Emergency department