Advances in Industrial Engineering

Advances in Industrial Engineering

Advances in Industrial Engineering

Journal Archive

Issue 2
December 2026, Pages 275-500
Issue 1
June 2026, Pages 1-274

 

Number of Volumes 18
Number of Issues 47
Number of Articles 461
Number of Contributors 941
PDF Download 919,698
PDF Download Per Article 1995.01
Number of Submissions 1,902

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: EBSCO, ROAD-ISSN, Islamic World Science Citation Center (ISC), National Digital Archives of Iranian Scholarly Journals, Noormags, Magiran, 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
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
Solving MDVRP Using Two-Step Clustering: A Case Study of Pharmaceutical Distribution in Tehran
A Data-Driven Pricing Model for Distribution Systems Considering Competition
Optimizing a Hub Arc Location Problem with Set-up Cost and Isolated Hub Nodes
Evaluating Barriers of Blockchain-Based Platforms Implementation for Subsidized Foods Supply Chains: A Hybrid Approach Based on BWM and WINGS Methods
A Sustainable Competitive Supply Chain Design Considering Uncertainty of Demand (Case Study in the Battery Manufacturing Industry)
A Multi-Objective VMI Model for a Two-Echelon Single Manufacturer Multiple Buyers Supply Chain
Current Issue: Volume 60, Issue 2, December 2026, Pages 275-500 

Designing the Integrated Dimensions of the Marketing System using the Fuzzy Delphi Approach

Pages 387-407

10.22059/aie.2026.412943.1978

Atefeh Ghomi Avili, Hashem Aghazadeh, Ariyan Gholipur, Mohammad Rahim Esfidani

Keywords Cloud

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