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 918,422
PDF Download Per Article 1992.24
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
  • Robust optimization
  • pricing
  • Supply Chain Management
  • Uncertainty
  • Game theory
  • Supplier Selection
  • Scheduling
  • TOPSIS
  • uncertainty
  • Data Envelopment Analysis
  • Inventory Control
  • Scheduling
  • sustainability
  • Heuristic algorithm
  • Simulated Annealing
  • Data Mining
  • Efficiency
  • Multi-objective optimization
  • Production Planning
  • Statistical Process Control
  • Vehicle routing problem
  • Facility location
  • Supply Chain Coordination
  • Fuzzy logic
  • Artificial neural networks (ANNs)
  • Simulated annealing algorithm
  • time series
  • Energy consumption
  • Closed-Loop Supply Chain
  • maintenance
  • reliability
  • Goal Programming
  • forecasting
  • Humanitarian Logistics
  • Project Portfolio Selection
  • Routing
  • Expert system
  • Data Envelopment Analysis (DEA)
  • reliability
  • Project scheduling
  • Network Design
  • Location-routing problem
  • Disaster management
  • Multi-Objective Programming
  • Mathematical Modeling
  • Deterioration
  • EWMA
  • Imperialist competitive algorithm
  • resilience
  • Reverse logistics
  • Taguchi Method
  • Construction projects
  • Time window
  • waiting time
  • Genetic algorithm
  • fuzzy regression
  • Repair
  • Phase II
  • renewable energy
  • Project management
  • prediction
  • Artificial Neural Network
  • Preventive maintenance
  • Deteriorating items
  • Benders decomposition
  • DEMATEL
  • MCDM
  • coordination
  • Inventory
  • Shortage
  • Analytic Hierarchy Process
  • customer segmentation
  • System Dynamics
  • Stochastic Programming
  • neural networks
  • Rework
  • Sustainable Development
  • Meta-heuristic algorithm
  • Mathematical Programming
  • Performance Evaluation
  • Portfolio optimization
  • Green supply chain
  • NSGA-II
  • Production Scheduling
  • Revenue management
  • Backorder
  • Order allocation
  • optimization
  • Critical Success Factors
  • Bullwhip Effect
  • Mathematical modeling
  • Knowledge Management
  • Aggregate production planning
  • value function
  • Demand Management
  • Average run length
  • Customer Satisfaction
  • Polynomial profile
  • Fuzzy goal programming
  • Truck scheduling
  • balanced scorecard
  • Mathematical model
  • Acceptance sampling
  • Search and Rescue
  • Reverse Logistic
  • Artificial Neural Network
  • Estimation Effect
  • Augmented ε-constraint method
  • Change point estimation
  • Statistical Process Monitoring
  • Simultaneous pickup and delivery
  • Home Health Care
  • simulation
  • Option contract
  • Perishable items
  • Balancing
  • location
  • RFM Model
  • Waste Reduction
  • Perishable products
  • Logistic regression
  • Genetic Algorithm
  • Stackelberg
  • Nurse Scheduling
  • AHP
  • risk
  • process mining
  • VIKOR Technique
  • Particle Swarm Algorithm
  • Theory of constraints
  • Hub location
  • Optimization
  • Circular economy
  • Economic production quantity
  • Variable neighborhood search
  • Deep learning
  • 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
  • Lot-sizing
  • Optimization Algorithm
  • Integer linear programming
  • Interval-Valued Fuzzy Sets
  • Resource Allocation
  • Mixed integer linear programming
  • Hub location problem
  • Meta-model
  • Genetic Algorithm (GA)
  • Decision making
  • Interval data
  • EOQ
  • Marketing
  • Rule-based systems
  • Two-stage stochastic programming
  • NSGA II
  • Best-Worst Method
  • modeling
  • Particle Swarm Optimization Algorithm
  • Product configuration
  • Cross-training
  • CUSUM
  • resiliency
  • Intuitionistic fuzzy set
  • Control chart
  • Metaheuristics
  • Supply chain flexibility
  • Stackelberg game
  • imprecise data
  • Disruption
  • particle swarm optimization
  • Multiple objective programming
  • Multi Criteria Decision Making
  • Optimization
  • Assignment
  • risk management
  • BWM
  • Game theory
  • Parallel machines
  • Fuzzy AHP
  • project selection
  • MOPSO
  • Human resource management
  • subsidy
  • Profile monitoring
  • Gateway planning
  • Gas Leakage
  • Change point
  • Block Chain Based Platforms
  • Resourcing in Different Ways
  • Lagrangean multipliers