Prof. Keng Hock, Mark Goh

School of Business, National University of Singapore, Singapore

Research Area: Supply Chain Management, Purchasing, Quality And Healthcare, Service Operations; Scorecarding And Supplier Performance Management Systems; Reverse Logistics; Scm

Prof. Weishan Zhang

China University of Petroleum (East China), China

Research Area: Big data intelligent processing, artificial intelligence, autonomous computing

Title:Software Architecture for Responsible Artificial Intelligence Systems: Thoughts and Practices

Abstract: Existing work on responsible AI ignores system-level architecture design for implementing responsible AI, and there lacks solutions on software engineering for responsible AI. Therefore, we propose a comprehensive approach for Responsible AI based Software Architecture, using an example of Digitalization of Industry Drawings (RAISA-DID), as a reference on software engineering for responsible AI to other industry domains. We analyze requirements of RAISA-DID and deign it using a quality-driven approach. A comprehensive and effective AI algorithms stack is proposed that can recognize all elements thoroughly in industry drawings, supported by federated learning, computer vision, natural language processing, and other AI algorithms. Finally, we use piping and instrumentation diagram recognition as an application case to evaluate the proposed approach. Comprehensive evaluations on different software qualities demonstrate that the solutions we proposed are efficient and effective for practical industry usage.

Prof. Syed Abdul Rehman Khan

Xuzhou University of Technology, China

Research Area: 

Brief: Dr. Syed Abdul Rehman Khan is an expert in supply chain and logistics management. He achieved his CSCP—Certified Supply Chain Professional certificate in the U.S.A. and completed his postdoctoral fellowship at Tsinghua University.
Dr. Khan is a professor of operations and supply chain management. He has more than twelve years of core experience in supply chain and logistics, both in industry and at the academic level. He has attended several international conferences and has also been invited as a keynote speaker in different countries. He has published more than 200 scientific research papers in various well-renowned international peer-reviewed journals (SSCI/SCI and ABS listed) and conferences, including several research papers that have been indexed in Essential Science Indicators (ESI). He is also the author of four books and the editor of nine books related to sustainability in supply chain and business operations. He is a regular contributor to conferences and workshops around the world.

Speech Title:Enbracement of Industry 4.0 and Sustainable Supply Chain Management

Abstract: Industry 4.0, also known as the Fourth Industrial Revolution, is bringing forth fast development. This revolution is reforming how companies work and relics optimistic regarding the opportunities Industry 4.0 may bring for sustainability. In recent years, several businesses have used sustainable supply chain practices (SSCPs) to make their supply networks less harmful to society and the environment. The goal is to minimize adverse environmental effects, such as those caused by excessive energy, water, and waste use. Sustainable business practices are becoming more and more crucial for growing firms as well as for resolving global issues. This research analyzes how Industry 4.0 affects the textile industry's environmental, social, and economic performance through SSCPs. Smart-PLS is utilized to examine the hypotheses using structural equation modeling, and a total of 639 valid survey responses were collected and processed for this study. The results show that SSCPs benefit Industry 4.0's environmental, social, and economic performance and have a positive impact. Industry 4.0 research incorporating SSCPs and the triple bottom line is a relatively recent concept.; further research may focus on other elements that could make SSCPs easier to execute. In this study, we employed the Practice-based view (PBV) theory for the sustainable supply chain (SSC) model; however, future researchers may use the Resource-based perspective or ecological modernization theory. The implications of Industry 4.0 on the textile industry's environmental, social, and economic performance through SSCPs have been the subject of a few research.