• Advanced Analysis on the Behavior of PROMETHEE Methods under Independence Property and Some Derived Versions 

  CHERGUI, Zhor (Kharazmi University, 2025-05-01)

  In this paper, we study the sensitivity of PROMETHEE family methods using four derived versions of Independence property. In particular, we analyse the strangeness of each type of relation (i.e. Indifference, Preference ...

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• Understanding the Nexus of Marketing and Artificial Intelligence (AI): Customer Experience is of the Essence 

  Esmaeili Mahyari, Mostafa؛ Irani, Hamid Reza؛ nourmandi pour, Vahid؛ Nozari, Hamed (Kharazmi University, 2025-05-01)

  Artificial intelligence (AI) is assuming an increasingly pivotal role in marketing, as evidenced by its extensive implementation across a diverse array of sectors. Review studies are indispensable across all scientific ...

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• The Impact of Green Logistics Management Practices on Manufacturing Firms' Sustainability Performance in Ghana and Indonesia 

  AKUBIA, GILBERT؛ Andriana, Denny؛ Adib Sulta, Mokh؛ Gaffar, Vanessa (Kharazmi University, 2025-05-01)

  This study investigates the impact of four dimensions of Green Logistics Management Practices (GLMP)–Inbound Logistics (IL), Outbound Logistics (OL), Green Operation and Production (GOP), and Reverse Logistics (RS)–on ...

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• Incorporating Sustainability in Temporary Shelter Distribution for Disaster Response by the LP-based NSGA-II 

  Shakibaei, Hossein؛ Seifi, Saba؛ Tavakkoli-Moghaddam, Reza (Kharazmi University, 2025-05-01)

  This paper introduces a comprehensive response mechanism designed to distribute temporary shelters after significant disasters effectively. The primary goal of this system is to overcome challenges posed by coordination, ...

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• A New Multi-Objective Location Routing Problem with Hybrid Fuzzy-Stochastic Approach by Considering Capacity Restrictions: Model, Solution and Application 

  Golmohammadi, Amir-Mohammad؛ Abedsoltan, Hamidreza؛ Hajizadeh Ebrahimi, Fazel (Kharazmi University, 2025-05-01)

  This study proposes a multi-objective location-routing problem considering the capacity of vehicles to decline the system's costs. The model considers probabilistic times of traveling, service, and waiting by vehicles while ...

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• A Goal Programming Based Bi-Stage Network Design for COVID-19 Immunization Waste Management 

  Trivedi, Ashish؛ Trivedi, Vibha؛ Debnath, Binoy؛ Bari, A. B. M. (Kharazmi University, 2025-05-01)

  The recent global efforts to control the spread of highly contagious COVID-19 pandemic have been successful, largely due to extensive vaccination campaigns. However, these campaigns have generated an enormous amount of ...

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• Trustworthiness in Supply Chains: Leveraging Private Blockchain Solutions 

  Santoso, Joseph؛ Wibowo, Mars؛ Raharjo, Budi (Kharazmi University, 2025-05-01)

  This research aims to explore how private blockchain technology can enhance trust among supply chain partners. Trust plays a crucial role in building long-term relationships with customers, business partners, and other ...

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• Green Ports Assessment Model regarding Uncertainty by Best-Worst and Hesitant Fuzzy VIKOR Methods: Iranian Ports 

  Vahabzadeh Najafi, Niloofar؛ Arshadi Khamseh, Alireza (Kharazmi University, 2024-11-01)

  These days environmental protection has crucial importance in different scopes of scientific research due to the environmental climate change, and popular concern about the future of the world. Ports and maritime transportation ...

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• Assessment of a Hybrid Machine Learning Algorithm in Healthcare Management for Predicting Diabetes Disease 

  Nodoust, Azin؛ Rajabzadeh Ghatari, Ali (Kharazmi University, 2024-11-01)

  Diabetes Mellitus is one of the most chronic diseases in all over the world. Every year, many people die due to this disease in all countries. Therefore, identifying early detection methods for this disease can reduce its ...

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• A Review Study on Advancements in Reverse Supply Chain Management for Industrial Waste Management Process 

  Kumar K, Sunil؛ Ramasamy, N.؛ Anand, M. Dev (Kharazmi University, 2024-11-01)

  Supply chain management (SCM) is the active management of supply chain activities to optimize customer value and establish a sustainable competitive advantage. It demonstrates that supply chain management firms are actively ...

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• Impact of Work-Life Balance and Work Engagement on Innovative Work Behavior 

  Sitompul, Pandapotan؛ Soelistya, Djoko؛ Simanihuruk, Peran؛ Purwati, Titik؛ Efendi, Efendi (Kharazmi University, 2024-11-01)

  This research explores the influence of work-life balance and work participation on innovative work behavior at PT Astra Agro Lestari Tbk. Using a quantitative approach with multiple linear regression analysis, this research ...

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• A CNN–LSTM Hybrid Deep Learning Model for Detergent Products Demand Forecasting: A Case Study 

  Ghazouani, Imen؛ Masmoudi, Imen؛ Mejri, Imen؛ LAYEB, SAFA (Kharazmi University, 2024-11-01)

  An accurate forecast of current and future demand is an essential initial step for almost all the facets of supply chain optimization, including inventory strategy, production scheduling, distribution management, and ...

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• Evaluate The Role of Policies in The Sustainability of the Supply Chain Through a Comprehensive Mathematical Approach 

  Al-waeli, Abbas؛ Hanoon, Raad؛ Flayyih, Mustafa (Kharazmi University, 2024-11-01)

  This study has two policies to support supply chains. In the first model, three types of subsidies are provided for each supplier. In the second model, the government enters the chain directly by creating an integrator ...

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• Multivariate Sales Forecasting Using Gated Recurrent Unit Network Model 

  Jayasekara, W.A. Roshan S.؛ Sugathadasa, P. T. Ranil S.؛ Herath, Oshadhi؛ Perera, Niles (Kharazmi University, 2024-11-01)

  Market forecasting is an integral part of supply chain management. Machine learning models have turned a new page in predictive analysis and helped organizations achieve improved accuracy. This paper focuses on creating a ...

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• Targeted and Personalized Online Advertising in the Age of Artificial Intelligence (AI): A Literature Review and Research Agenda 

  reeyazati, ashraf؛ Samizadeh, Reza (Kharazmi University, 2025-02-01)

  This study aims to provide a comprehensive evaluation of current machine learning (ML) algorithms employed in targeted and personalized advertising. It reveals key findings and conclusions from a wide range of sources, ...

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• A Multi Echelon Location-Routing-Inventory Model for a Supply Chain Network: NSGA II and Multi-Objective Whale Optimization Algorithm 

  Reza Pourhassan, Mohammad؛ Khadem Roshandeh, Mohammad Reza؛ Ghasemi, Peiman؛ Seyed Bathaee, Mehrnaz Sadat (Kharazmi University, 2025-02-01)

  In this study, we aim to explore the modeling and solution approach for a multi-objective location-routing-inventory problem. The focus is on planned transportation with the goal of minimizing total costs and reducing the ...

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• Optimizing Supply Chain Sustainability through AI-Driven Policies and Integrator Facility 

  Tseng, Cheng-jui؛ Kiang, Yen-Jo (Kharazmi University, 2025-02-01)

  Supply chains play a pivotal role in shaping a nation's economic landscape, making their sustainability a paramount concern. However, there is a notable lack of comprehensive policy frameworks addressing this crucial issue. ...

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• Integrating Machine Learning and Text Mining to Enhance Customer Value Propositions in Hotel Supply Chain 

  Lin, JIE-SHIN؛ TSAI, CHIH-HAO (Kharazmi University, 2025-02-01)

  The accelerated digital transformation in the contemporary business landscape, propelled by the Fourth Industrial Revolution, has fundamentally reshaped marketing research practices. This study leverages machine learning ...

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• Designing a Sustainable Model for Providing Health Services Based on the Internet of Things and Meta-Heuristic Algorithms 

  Toloie Eshlaghy, Abbas؛ Daneshvar, Amir؛ Peivandizadeh, Ali؛ S Senathirajah, Abdul Rahman؛ Ibrahim, Irwan (Kharazmi University, 2025-02-01)

  In this article, a health service delivery model based on the Internet of Things (IoT) under uncertainty is presented. The considered model includes a set of patients, doctors, vehicles, and services that should be provided ...

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• Optimizing Sustainability and Risk Management in Intelligent Supply Chains: A Case Study from Thailand 

  Liu, Yilin (Kharazmi University, 2025-02-01)

  In this study, an exploration is undertaken to contribute significantly to the sustainable development of intelligent supply chains by investigating the optimization of the supply chain network within the realm of risk ...

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