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MaVaS 2026: International Conference of Managing Value and Supply Chains

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Día de Entrega:
2026-09-06
Fecha de Notificación:
2026-10-10
Fecha de conferencia:
2026-12-26
Ubicación:
Dubai, UAE
Ediciones:
Vistas: 15765   Seguidores: 0   Asistentes: 0

Índice Conference Partner (CP-I)

50,6 / 100
Puesto n.º 1.394 de 5.652 congresos · 25% superior

N.º 9 de 71 en Gestión y ciencias sociales

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
69
Atención de la comunidad (10%)
10
Integridad del registro público (15%)
55

Datos utilizados: Ediciones documentadas: 12 · Investigadores que abrieron esta página en los últimos 24 meses: 3

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

MaVaS 2026 (International Conference of Managing Value and Supply Chains) is an academic conference held in Dubai, UAE on 2026-12-26. The paper submission deadline is 2026-09-06. Acceptance notifications are sent on 2026-10-10.

SCOPE 12th International Conference of Managing Value and Supply Chains (MaVaS 2026) is a peer-reviewed forum for presenting articles that contribute new results in all areas of value and supply chain management. The conference provides a platform to disseminate new ideas and new research, advance theories, and propagate best practices in the management of value and supply chain management, looking across both product and service-based businesses. This will include works based in service management, logistics and distribution, operations management, process management, flow control, and customer service. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of value and supply chain management. Topics of interest AI Driven Supply Chain Optimization Machine Learning for Demand Forecasting Predictive and Prescriptive Analytics Generative AI for Supply Chain Planning Autonomous Decision Making Systems LLM Driven Procurement and Contract Intelligence Multi Agent Systems for Supply Chain Coordination Autonomous Negotiation Agents for Procurement AI Driven Contract and Policy Automation Supply Chain Digital Twins Blockchain and Trustless Supply Chains Autonomous Logistics and Robotics Resilient and Risk Adaptive Supply Chains Geopolitical Risk and Supply Chain Stress Testing Multi Tier Disruption Propagation Modeling Resilience Metrics and Shock Response Optimization Sustainable and Circular Supply Chains Green Logistics and Carbon Aware Planning End to End Value Chain Optimization Global Supply Chain Strategy Network Design and Routing Optimization Inventory Optimization and Control Procurement and Strategic Sourcing Supplier Selection and Performance Evaluation Multi Tier Supplier Risk Management Supply Chain Finance and FinTech Integration Dynamic Pricing and Revenue Optimization Working Capital Optimization in Global Supply Chains Manufacturing Systems and Smart Factories Lean, Agile and Hybrid Manufacturing Strategies Product Innovation and Lifecycle Management Demand Forecasting and Planning Distribution and Omni Channel Logistics Reverse Logistics and Closed Loop Systems E Procurement and Digital Commerce IT Enabled Supply Chain Visibility IoT Enabled Logistics and Tracking Cloud and Edge Computing in Supply Chains Cybersecurity in Supply Chain Systems Performance Metrics and Value Measurement Quality Control and Continuous Improvement Knowledge Management in Value Chains Legal and Regulatory Compliance in Supply Chains Change Management in Operations Ethical and Transparent Supply Chains Human Centric Operations and Workforce Analytics Labor Compliance and Social Sustainability Humanitarian Logistics and Emergency Supply Chains Rapid Deployment and Crisis Resource Allocation Post Disaster Infrastructure Recovery Logistics
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