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