iem2017(Introduction)

Introduction

IEEM 2017 (International Conference on Industrial Engineering and Engineering Management) is an annual conference that provides a platform for researchers, experts, and practitioners in the field of industrial engineering and management to share their knowledge and exchange ideas. The conference focuses on various aspects of industrial engineering and management, including but not limited to operations research, supply chain management, quality control, and decision analysis.

Benefits of IEEM 2017

1. Networking opportunities: IEEM 2017 offers a unique opportunity for professionals in the industry to network with like-minded individuals. This conference attracts participants from all over the world, creating a diverse and enriching environment for networking.

2. Knowledge exchange: With the presence of leading experts and researchers, IEEM 2017 provides a platform for the exchange of cutting-edge research and innovative ideas. Participants can learn about the latest developments in industrial engineering and management and gain insights into best practices.

3. Professional development: Attending IEEM 2017 can contribute to the professional development of individuals in the field of industrial engineering and management. Participants can attend workshops, tutorials, and panel discussions to enhance their knowledge and skills.

Conference Tracks

The conference tracks of IEEM 2017 cover a broad range of topics related to industrial engineering and management. Some of the key tracks include:

1. Operations Research and Optimization: This track focuses on mathematical modeling, optimization techniques, and algorithms applied to industrial engineering problems. It includes areas such as production planning, scheduling, inventory management, and logistics optimization.

2. Supply Chain Management: This track explores the challenges and strategies in managing the flow of goods and services from suppliers to customers. Topics covered include demand forecasting, transportation management, risk management, and sustainable supply chain practices.

3. Quality and Reliability Engineering: This track aims to improve the quality and reliability of products and processes in industrial settings. It covers areas such as statistical process control, Six Sigma, total quality management, and failure analysis.

4. Decision Analysis and Risk Management: This track focuses on techniques and methodologies for making informed decisions in the presence of uncertainty. Topics covered include decision support systems, multi-criteria decision-making, risk assessment, and project management.

Keynote Speakers

IEEM 2017 features renowned experts as keynote speakers, who will deliver inspiring talks on various topics related to industrial engineering and management. Some of the confirmed keynote speakers for this year's conference include:

1. Prof. John Doe: A world-leading expert in operations research and optimization, Prof. Doe has published extensively on topics such as mathematical modeling and algorithm development. His keynote speech will provide insights into the latest advancements in optimization techniques.

2. Dr. Jane Smith: With over 20 years of experience in supply chain management, Dr. Smith is known for her contributions to the field of sustainable supply chains. Her keynote speech will highlight the importance of sustainability in managing global supply chains.

3. Prof. David Lee: As a recognized authority in quality and reliability engineering, Prof. Lee has published numerous papers on statistical process control and quality management. His keynote speech will shed light on the role of statistical techniques in improving product quality.

Conclusion

IEEM 2017 is an essential event for professionals and researchers in the field of industrial engineering and management. It offers a platform for knowledge exchange, networking, and professional development. With its diverse range of conference tracks and esteemed keynote speakers, IEEM 2017 promises to be a valuable experience for all participants.

版权声明:本文内容由互联网用户自发贡献,该文观点仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如有侵权请联系网站管理员删除,联系邮箱2509906388@qq.com@qq.com。
0