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