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 920,558
PDF Download Per Article 1996.87
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 Multi-Objective VMI Model for a Two-Echelon Single Manufacturer Multiple Buyers Supply Chain
A Sustainable Competitive Supply Chain Design Considering Uncertainty of Demand (Case Study in the Battery Manufacturing Industry)
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
  • Scheduling
  • Supplier Selection
  • Uncertainty
  • Game theory
  • Inventory Control
  • TOPSIS
  • uncertainty
  • Data Envelopment Analysis
  • sustainability
  • Scheduling
  • Multi-objective optimization
  • Heuristic algorithm
  • Production Planning
  • Efficiency
  • Statistical Process Control
  • Simulated Annealing
  • Data Mining
  • Vehicle routing problem
  • Facility location
  • Closed-Loop Supply Chain
  • time series
  • Artificial neural networks (ANNs)
  • Supply Chain Coordination
  • Fuzzy logic
  • reliability
  • Simulated annealing algorithm
  • Energy consumption
  • maintenance
  • forecasting
  • Multi-Objective Programming
  • Expert system
  • Goal Programming
  • Imperialist competitive algorithm
  • Network Design
  • Mathematical Modeling
  • Humanitarian Logistics
  • Reverse logistics
  • Data Envelopment Analysis (DEA)
  • Project scheduling
  • Taguchi Method
  • resilience
  • Deterioration
  • Location-routing problem
  • Project Portfolio Selection
  • EWMA
  • Routing
  • Disaster management
  • reliability
  • System Dynamics
  • customer segmentation
  • prediction
  • Rework
  • Genetic algorithm
  • Phase II
  • Preventive maintenance
  • Project management
  • Shortage
  • Mathematical Programming
  • Inventory
  • Analytic Hierarchy Process
  • Stochastic Programming
  • Performance Evaluation
  • Repair
  • Construction projects
  • Time window
  • waiting time
  • renewable energy
  • Benders decomposition
  • Backorder
  • Deteriorating items
  • Revenue management
  • Portfolio optimization
  • MCDM
  • NSGA-II
  • DEMATEL
  • coordination
  • fuzzy regression
  • Green supply chain
  • neural networks
  • Artificial Neural Network
  • Critical Success Factors
  • Order allocation
  • Meta-heuristic algorithm
  • optimization
  • Production Scheduling
  • Sustainable Development
  • Cross-training
  • Genetic Algorithm
  • Product configuration
  • Particle Swarm Optimization
  • Aggregate production planning
  • Mathematical modeling
  • Acceptance sampling
  • Blood supply chain management
  • Best-Worst Method
  • Optimization Algorithm
  • Neural Network
  • Average run length
  • Augmented ε-constraint method
  • Fuzzy goal programming
  • Customer Satisfaction
  • Marketing
  • balanced scorecard
  • Queuing theory
  • Profile monitoring
  • Truck scheduling
  • Lot-sizing
  • Statistical Process Monitoring
  • Interval data
  • Artificial Neural Network
  • Hub location problem
  • Resource Allocation
  • Design of experiments
  • Multi Criteria Decision Making
  • Waste Reduction
  • Mixed integer linear programming
  • value function
  • risk management
  • Fresh product supply chain
  • Polynomial profile
  • Forecast
  • Change point estimation
  • Estimation Effect
  • Metaheuristics
  • Option contract
  • Location
  • EOQ
  • Integer linear programming
  • Home Health Care
  • Logistic regression
  • Stochastic demand
  • location
  • Two-stage stochastic programming
  • Rule-based systems
  • Control chart
  • Balancing
  • Perishable items
  • modeling
  • imprecise data
  • Supply chain flexibility
  • particle swarm optimization
  • Interval-Valued Fuzzy Sets
  • Assignment
  • Disruption
  • Particle Swarm Optimization Algorithm
  • Meta-model
  • Nurse Scheduling
  • project selection
  • AHP
  • Particle Swarm Algorithm
  • process mining
  • Parallel machines
  • Game theory
  • Reverse Logistic
  • subsidy
  • Multiple objective programming
  • Simultaneous pickup and delivery
  • BWM
  • VIKOR Technique
  • Bullwhip Effect
  • Hub location
  • Human resource management
  • meta-heuristic methods
  • Optimization
  • Economic production quantity
  • Mathematical model
  • CUSUM
  • Demand Management
  • Knowledge Management
  • Decision making
  • Integrated supply chain
  • Optimization
  • Fuzzy AHP
  • MOPSO
  • resiliency
  • NSGA II
  • simulation
  • Deep learning
  • Search and Rescue
  • Stackelberg
  • Perishable products
  • RFM Model
  • Stackelberg game
  • Circular economy
  • Intuitionistic fuzzy set
  • Variable neighborhood search
  • Theory of constraints
  • risk
  • Genetic Algorithm (GA)
  • Continuous review
  • Facilities location
  • Newsvendor Models
  • M/M/m queueing-inventory system
  • Lost demand
  • فولاد