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 437
Number of Contributors 932
PDF Download 866,464
PDF Download Per Article 1982.76
Number of Submissions 1,894

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