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تصمیم گیری و تحقیق در عملیات
Scopus
ISSN 2538-5097 · Ayandegan Institute of Higher Education, Tonekabon, · 373 artikel di indeks
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Artikel Jurnal Teks lengkap
Identifying and prioritizing the key success factor of agile project management with the Scrum framework in internet of things implementation projects
Purpose: Internet of Things (IoT) implementation projects are prone to significant management risks and high failure rates due to their inherently multidisciplinary nature, high uncertainty, and dependence on emerging technologies. The primary motivation for this study is to find a systematic…
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Large language models in plastic and reconstructive surgery: A narrative review of current applications and challenges
Purpose: Artificial Intelligence (AI) is a transformative technology offering numerous advantages alongside significant challenges in healthcare, particularly in plastic and reconstructive surgery. This paper explores the potential applications and limitations of Large Language Models (LLMs) within…
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Explainable and scalable ensemble decision-support framework for multi-commodity price forecasting in agricultural markets
Purpose: The purpose of this paper is to respond to the constant challenge of predicting prices of food commodities in developing economies, which are highly volatile, affecting food security and making policy decisions more difficult. The goal of this study is to develop an end-to-end framework…
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A hybrid MCDM–DEMATEL–optimization framework for early childhood physical education resource allocation
Purpose: The purpose of this paper is to develop a decision-optimization framework for resource allocation in early childhood Physical Education (PE) by integrating empirical evidence with multi-criteria decision-making methods to support effective and equitable funding decisions.Methodology: The…
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Weighted hypersoft and superhypersoft sets for high-dimensional decision models
Purpose: The purpose of this paper is to address the limitation of existing soft set–based decision models that treat all parameters uniformly, by introducing weighted frameworks capable of capturing the varying importance of criteria in high-dimensional decision-making environments.Methodology…
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A hybrid CTAFRIS–AHP framework for curriculum quality assessment in sino‑foreign joint programs: Integrating qualitative case studies and multi‑criteria decision making
Purpose: International Joint Programs (IJPs) between Chinese universities and overseas partners require curriculum quality assessment approaches that go beyond compliance checklists. Existing audits rarely integrate interpretive curriculum evidence with transparent decision analytics. Methodology…
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A voting-based hybrid machine learning model for predicting backorders in the supply chain
Purpose: Backorder prediction is one of the most basic challenges in supply chains which may have a direct impact on operational costs, inventory levels and customer satisfaction. The main objective of this study is to come up with a voting based hybrid Machine Learning (ML) model for prediction of…
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Providing a decision-making model for the challenges of using social media in supply chain management using the metasynthesis and SWARA method
Purpose: Social media, as a modern communication tool, has great potential for improving supply chain processes, but at the same time, it also brings challenges. This research paper aims to identify and rank the challenges of using social networks in Iranian supply chain management. Methodology…
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Economic indicators to forecast gold price trends through principal component analysis and neural networks
Purpose: This study investigates the influence of crucial economic indicators on gold price trends within global financial markets. In today's dynamic environment, fluctuations in gold prices are shaped by various economic factors. By identifying and appropriately weighing these influential…
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Defense and attack strategy optimization for reliability systems with virtual components and active redundancy with a game theory approach
Purpose: The objective of this research is to optimize defense and attack strategies in sensitive systems with series-parallel structures and virtual components using a game theory approach. In this framework, the defender faces resource constraints, and the attacker aims to maximize…
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Comparative fuzzy solutions of the fractional massive Thirring system via HAETM and RPSLTM
Purpose: In this paper, we present a comparative study between two analytical methods, namely the Homotopy Analysis Elzaki Transform Method (HAETM) and the residual power series Laplace transform method (RPSLTM), on the fractional massive Thirring complex system of equations (FMTCSE) arising in the…
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Modeling the combined problem of determining the lot sizing and cutting stock of raw materials and solving it using a combined method based on a genetic algorithm and an exact solution method
Purpose: The problem of determining the lot sizing and cutting stock raw materials are two important issues in the production industry, which are used in the production process of many industries, including furniture, paper, aluminum, metal industries, etc. this research aims to determine the…
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Evaluating the sustainability and performance dental tourism using fuzzy logic methods
Purpose: Health tourism, especially dental tourism, is increasingly becoming essential to a country's tourist offering. To attract tourists, good-quality services must be provided at dental offices. Therefore, a research problem is defined to examine the quality and sustainability of dental…
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Formation of effective teams considering employee training in project-oriented organizations
Purpose: This study presents an optimization model for forming effective teams in a project-oriented organization whose employees' skill levels can be improved through training. The model forms the required teams along with identifying the useful training programs, determining the schedule for each…
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Presenting a multi-level model to break down the classification of defense industrial research projects
Purpose: This article designs a model for breaking highly classified defense industrial research projects, the primary goal of which is to reduce the level of information classification while maintaining security and confidentiality. Methodology: The SSM soft systems methodology has been used in…
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Crowdsourcing-based material requirement optimization in the automotive parts production network with online demand coverage
Purpose: This paper aims to propose a crowdsourcing-based multi-objective mathematical model for optimizing Material Requirements Planning (MRP) in the automotive industry, addressing uncertainties in online demand and challenges in parts procurement. Methodology: Real-world data were collected…
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Performance evaluation of teachers by using fermatean fuzzy based MCDM approach
Purpose: The purpose of this paper is to present a systematic approach for evaluating teachers’ performance within an educational framework. In every progressive country, establishing a well-organized and efficient educational system is essential. Teachers play a pivotal role in enhancing the…
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Generation 3 ports: An inevitable necessity for the development of the transportation industry in Iran
Purpose: In the evolution of ports since World War II, structural transformations have occurred based on various managerial models, leading to the classification of ports into five generations (1, 2, 3, 4, and 5), with fifth-generation ports being the most advanced. In fact, the level of service…
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Enhancing quality in HEIs through lean six sigma and advanced process mining techniques for better student learnability
Purpose: The primary purpose of the study is to enhance the quality of Higher Education Institutions (HEIs) by optimizing student learning processes through a data-driven, Real-Time (RT) framework. It addresses the shortcomings of traditional methods, which cannot efficiently monitor and improve…
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Blockchain-enabled game-theoretic framework for supply chain finance under information asymmetry
Purpose: The purpose of this paper is to develop a blockchain-enabled game-theoretic framework that addresses information asymmetry in Supply Chain Finance (SCF). The study aims to model strategic interactions among SCF participants and assess the impact of blockchain adoption on equitable benefit…