The International Conference on Data Analytics in Procurement Engineering (ICDANPE - 27) features a diverse range of session tracks designed to cover key research areas, emerging trends and interdisciplinary innovations within the field of Procurement Engineering.
These sessions provide a platform for researchers, academicians, industry professionals and practitioners to present their work, exchange ideas and explore the advancements shaping the future of the domain.
Each track is carefully curated to encourage knowledge sharing, collaboration and meaningful discussion, and is aligned with the United Nations Sustainable Development Goals.
Submit Your AbstractInternational Conference on Data Analytics in Procurement Engineering (ICDANPE - 27) 设有多个分会主题,涵盖重要研究领域、前沿趋势与跨学科创新成果。
各分会主题为研究人员、学者、行业专家及实务工作者提供展示研究成果、交流学术思想、探讨领域发展的平台。
每个分会主题均经过精心设置,旨在促进知识共享、学术合作与深入研讨,并与联合国可持续发展目标(SDGs)保持一致。
提交摘要The session tracks of International Conference on Data Analytics in Procurement Engineering (ICDANPE - 27) support the following United Nations Sustainable Development Goals through research, collaboration and knowledge exchange.
本次会议的分会主题通过科研、合作与知识交流,支持以下联合国可持续发展目标。
Browse every track scheduled for this conference.
浏览本次会议的全部分会主题。
This track focuses on the application of predictive analytics to enhance procurement processes. Participants will explore methodologies for forecasting supplier performance and demand patterns.
SDG 9
SDG 12
This session will delve into the use of data analytics for optimizing procurement strategies. Attendees will discuss techniques for improving cost efficiency and supplier selection.
SDG 8
SDG 9
This track addresses the critical role of risk assessment in procurement engineering. Presentations will highlight frameworks for identifying and mitigating procurement-related risks.
SDG 8
SDG 16
This session examines strategies for process improvement within procurement workflows. Participants will share insights on streamlining operations and enhancing overall efficiency.
SDG 9
SDG 12
This track focuses on the importance of supply chain monitoring and the development of performance metrics. Discussions will center on how data analytics can drive better decision-making in procurement.
SDG 9
SDG 12
This session explores the integration of decision support systems in procurement engineering. Attendees will learn about tools and technologies that facilitate informed decision-making.
SDG 9
SDG 16
This track highlights the role of advanced analytics in achieving cost efficiency in procurement. Participants will discuss case studies and best practices for leveraging data to reduce costs.
SDG 8
SDG 12
This session focuses on effective vendor management and performance evaluation techniques. Attendees will explore data-driven approaches to assess and enhance supplier relationships.
SDG 8
SDG 12
This track examines the development of procurement reporting systems and the role of data visualization. Participants will discuss how to present procurement data effectively for strategic insights.
SDG 9
SDG 12
This session addresses the importance of resilience in procurement processes amid uncertainties. Discussions will focus on strategies for enhancing adaptability and robustness in procurement practices.
SDG 9
SDG 11
This track showcases innovative approaches and technologies in procurement analytics. Participants will share emerging trends and their implications for the future of procurement engineering.
SDG 9
SDG 12
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