Supply Chain Management
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Research Article
A Full-fuzzy Economic Order Quantity Model with Deterioration, Inflation, and Shortage using ϵ-spread Method 82-101
S. Ganesan
This paper develops a comprehensive fuzzy economic order quantity (EOQ) model that incorporates deterioration, inflation, and shortage under a full-fuzzy decision-making environment. Unlike classical EOQ formulations that rely on precise parameter values, the proposed approach represents all...
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Research Article
AI-Driven Leadership in Manufacturing Supply Chains: A Systematic Literature Review, Research Gaps Analysis, and Exploratory Study of Egyptian Manufacturing Firms 1-40
Attia Hussien Gomaa
Artificial intelligence (AI) is increasingly transforming manufacturing supply chains by enabling predictive analytics, intelligent automation, real-time visibility, data-driven decision-making, and adaptive coordination. Yet, the realization of sustained value from AI extends beyond...
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An Intelligent Fuzzy Multi-Criteria Framework for Joint Procurement Allocation and Logistics Network Design under Sustainability and Risk Considerations 50-93
Mohammad Mahdi Ershadi*
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This study proposes an integrated fuzzy multi-objective decision-support framework for the simultaneous optimization of procurement allocation and logistics network design in multi-echelon supply chains. The framework explicitly captures the interdependence between sourcing and transportation...
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Research Article
Development of Unified, Digital, and Local Terms for “Supply Chain Management” 21-40
Alexey Petrovich Tyapukhin
To gain additional competitive advantages in the digital economy, supply chain links need to continuously improve management theory and methodology based on the development and implementation of decisions characterized by minimal loss of profits. This problem can be eliminated through the...
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Review Article
Enhancing Supply Chain Management Using Machine Learning Techniques: A Comprehensive Review, Gap Analysis, and Strategic Framework 1-20
Attia Hussien Gomaa
In the Industry 4.0 era, Supply Chain Management (SCM) is being transformed by digitalization and advanced analytics, with Machine Learning (ML) emerging as a pivotal driver of efficiency, resilience, and intelligent decision-making. This study reviews ML applications across major SCM domains,...
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Research Article
How Can Supply Chain Coordination Be Improved with the Help of Contractual Mechanisms: A Comparative Analysis of Wholesale Pricing and Quantity Discount 41-53
Tamás Faludi
Supply chains have evolved into networks since the 2000s, and as a result of this expansion, companies are facing major challenges. The alignment and coordination of value-creating processes are of unprecedented importance, as cooperative relationships – and thus the coordination of...
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Review Article
Supply Chain Risk Management for Sustainable and Resilient Operations:A Comprehensive Review and Strategic Framework in the Era of Industry 4.0-5.0 1-23
Attia Hussien Gomaa
Global supply chains face increasingly complex, interdependent, and dynamic risks driven by sustainability pressures, climate change, geopolitical uncertainties, technological disruptions, and market volatility. Traditional risk management approaches—often reactive, fragmented, and siloed—are...
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Research Article
The Leadership Pipeline Revisited: Gender Roles and Women’s Careers in Uganda’s Logistics Industry 28-49
Nabiira Nantongo*
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Background:Women remain underrepresented in leadership and decision-making roles within the logistics sector, particularly in developing countries where gendered caregiving expectations remain deeply entrenched. This study examines how gender roles and responsibilities...