会议信息

MaVaS 2026: International Conference of Managing Value and Supply Chains

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截稿日期:
2026-09-06
通知日期:
2026-10-10
会议日期:
2026-12-26
会议地点:
Dubai, UAE
届数:
浏览: 16005   关注: 0   参加: 0
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MaVaS
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会伴指数 (CP-I)

50.6 / 100
全站第 1,470 名 / 共 5,693 个会议 · 前 26%

管理与社会科学 第 10 / 73

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
69
社区关注 (10%)
10
资料公开度 (15%)
55

用到的输入: 有据可查的届次:12 · 过去 24 个月打开过本页的研究者:3 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
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置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-06

征稿

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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