Advances in Industrial Engineering

Advances in Industrial Engineering

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).                                            

Current Issue: Volume 60, Issue 1, June 2026, Pages 1-274 

Keywords Cloud

  • Supply Chain
  • Genetic Algorithm
  • pricing
  • Robust optimization
  • Supply Chain Management
  • Supplier Selection
  • Scheduling
  • Uncertainty
  • Game theory
  • Data Envelopment Analysis
  • Inventory Control
  • uncertainty
  • TOPSIS
  • sustainability
  • Scheduling
  • Vehicle routing problem
  • Statistical Process Control
  • Efficiency
  • Data Mining
  • Multi-objective optimization
  • Heuristic algorithm
  • Production Planning
  • Simulated Annealing
  • Facility location
  • Fuzzy logic
  • Energy consumption
  • Simulated annealing algorithm
  • Supply Chain Coordination
  • time series
  • Closed-Loop Supply Chain
  • maintenance
  • Artificial neural networks (ANNs)
  • reliability
  • Goal Programming
  • Expert system
  • Project Portfolio Selection
  • Routing
  • forecasting
  • Data Envelopment Analysis (DEA)
  • Taguchi Method
  • reliability
  • Project scheduling
  • Mathematical Modeling
  • Location-routing problem
  • Multi-Objective Programming
  • Disaster management
  • Network Design
  • Imperialist competitive algorithm
  • Deterioration
  • EWMA
  • resilience
  • Reverse logistics
  • Humanitarian Logistics
  • Construction projects
  • prediction
  • Time window
  • Phase II
  • Genetic algorithm
  • Repair
  • fuzzy regression
  • waiting time
  • Project management
  • Preventive maintenance
  • Artificial Neural Network
  • Critical Success Factors
  • Deteriorating items
  • Benders decomposition
  • DEMATEL
  • renewable energy
  • Production Scheduling
  • coordination
  • neural networks
  • Shortage
  • Rework
  • Analytic Hierarchy Process
  • customer segmentation
  • System Dynamics
  • Stochastic Programming
  • Meta-heuristic algorithm
  • Sustainable Development
  • Inventory
  • Mathematical Programming
  • Performance Evaluation
  • Portfolio optimization
  • Green supply chain
  • NSGA-II
  • Revenue management
  • MCDM
  • Backorder
  • Order allocation
  • optimization
  • 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
  • simulation
  • Option contract
  • Simultaneous pickup and delivery
  • 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
  • Economic production quantity
  • Variable neighborhood search
  • Deep learning
  • meta-heuristic methods
  • Location
  • Stochastic demand
  • Forecast
  • Particle Swarm Optimization
  • Fresh product supply chain
  • Integrated supply chain
  • Design of experiments
  • Neural Network
  • Blood supply chain management
  • Queuing theory
  • Lot-sizing
  • Optimization Algorithm
  • Integer linear programming
  • 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
  • Marketing
  • NSGA II
  • Two-stage stochastic programming
  • EOQ
  • Best-Worst Method
  • Metaheuristics
  • modeling
  • Product configuration
  • Cross-training
  • Particle Swarm Optimization Algorithm
  • resiliency
  • Intuitionistic fuzzy set
  • 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