Strategic Value Chain Management

Strategic Value Chain Management

Development of an Intelligent Value Chain Optimization model using an Artificial Neural Network approach

Document Type : Original Article

Authors
Masoud Babaie 1
Alireza Erajpour 2
Reza Ehtesham Rasi 3
1 PhD student, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
2 Assistant Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
3 Associate Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
10.22075/svcm.2026.40260.1085
Abstract
Background and Objectives: The present study aimed to identify effective indicators and components in value chain smartization and predict the level of smartization in companies located in Caspian Industrial Park.
Materials and Methods: This study is applied in terms of purpose and quantitative in terms of nature and method. The reason for using this approach is that in the quantitative part, smartization and prediction of value chain performance are carried out using mathematical modeling and artificial neural networks. The research is also considered descriptive-analytical and developmental in terms of implementation method, because in addition to analyzing the current situation, it leads to the design of an intelligent algorithm.
Results: Data analysis using the artificial neural network algorithm showed that the model is able to predict the level of smartization of the value chain with high accuracy. The results of the model performance evaluation with MSE, RMSE, and coefficient of determination (R²) indices showed that the neural network was able to model the nonlinear and complex relationships between the input and output indices well. In addition, the sensitivity analysis of the input variables revealed that digital infrastructure and data-driven decision-making have the greatest impact on the level of smartization.
Conclusion: Using artificial neural networks allows for accurate prediction of the level of smartization, identification of effective factors, and prioritization of management actions. In addition to prediction accuracy, this method has high generalizability and can be used as a practical tool for planning and improving value chain smartization in industrial companies.
Keywords
Algorithm
Value Chain
Artificial Neural Network (ANN)
Intelligence
آبادی، ‌فاطمه، جمالی، ‌غلامرضا و قربان‌پور، ‌احمد. (۱۴۰۳). ارزیابی و تحلیل مدیریت هوشمند زنجیره تامین تحت فناوری اینترنت اشیاء با رویکرد نقشه شناختی فازی. مطالعات مدیریت کسب و کار هوشمند، 47 (13)، 50-77. https://doi.org/10.22054/ims.2023.73994.2337
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‏‫اسلام‌پناه، ‌آرش، جعفر‌نژاد، ‌احمد، حیدری‌دهویی، ‌جلیل و تقی‌زاده‌یزدی، ‌محمدرضا. (۱۴۰۲). طراحی شبکه زنجیره تأمین معکوس پسماندهای صنعتی با به‌کارگیری سیستم بین خودرویی هوشمند  (مورد مطالعه:خودروسازی ایران). مدیریت صنعتی (دانشگاه تهران)، 50(15)، 447-477.   https://doi.org/10.22059/imj.2023.363361.1008069 
‏‫راه‌چمنی، ‌سیدمحمد، حیدریه، ‌سید‌عبدالله و زرگر، ‌سیدمحمد. (۱۴۰۱). طراحی مدلی برای زنجیره‌ تأمین هوشمند خدمات با روش داده‌بنیاد (مورد مطالعه:صندوق کارآفرینی امید). چشم انداز مدیریت صنعتی، 46(12)، 89-111. https://doi.org/10.52547/jimp.12.2.89
‏‫فخرزاد، ‌محمدباقر، کشاورز، ‌مرضیه و جعفری‌ندوشن، ‌عباسعلی. (۱۴۰۰). ارائه یک مدل ریاضی در زنجیره تامین هوشمند بر مبنای ICPT در محیط MTS. پژوهش های نوین در تصمیم گیری، 22(6)، 97-123.
‏‫کریمی‌تکلو، ‌سلیم، شریفی‌اصفهانی، ‌حمید و بخشی‌خورده‌بلاغ، ‌احسان. (۱۴۰۳). واکاوی محرک‌های زنجیره تامین دایره‌ای پایدار هوشمند با استفاده از روش‌های ترکیبی دیمتل و مدلسازی ساختاری تفسیری متخاصم. مطالعات مدیریت صنعتی، 73(22)، 246-285.  https://doi.org/10.22054/jims.2024.77945.2899
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‏‫مهری‌نمک‌آورانی، ‌امید، کاظمی، ‌حسین، رضایی، ‌فرزین و احتشام‌راثی، ‌رضا. (۱۴۰۲). شناسایی و رتبه‌بندی عوامل توانمندساز در زنجیره تأمین هوشمند. مدیریت توسعه و تحول، 53 (15)، 173-180.   https://doi.org/10.22094/jdem.2023.705875
‏‫هورشاد، ‌علی، صفری، ‌حسین و قاسمی، ‌روح‌اله. (۱۴۰۲). توسعه مدل مدیریت زنجیره تامین هوشمند در صنعت کالاهای تندمصرف. چشم انداز مدیریت صنعتی، 52 (13)، 109-148.  https://doi.org/10.48308/jimp.13.4.108
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Strategic Value Chain Management
Volume 3, Issue 2 - Serial Number 9
Research papers
Summer 2026
Pages 25-52

  • Receive Date 02 January 2026
  • Revise Date 30 January 2026
  • Accept Date 09 March 2026
  • Publish Date 23 July 2026