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 438
Number of Contributors 933
PDF Download 870,256
PDF Download Per Article 1986.89
Number of Submissions 1,895

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