Prof. Ahmad Rozelan, Universiti Teknikal Malaysia Melaka, Malaysia
Research Area: Guidance and Counseling, Psychometrics, Organizational Behavior, Human Development, Entrepreneurship
研究领域：指导和咨询，心理测量学，组织行为学，人类发展，企业
Title：Systematic Psychometrics Profiling and Big Data: A Way Forward of Managing Human Capital for IR 5.0
标题：系统心理测量学分析和大数据：IR 5.0管理人力资源的前进方向
Abstract：
Industry 4.0 (IR 4.0) is the implementation of Cyber Physical Systems smart manufacturing for industrial production. Its impact in the manufacturing sector and other technology sectors are well documented. However, the impact to human resource sector is understudied. Managing the human capital of IR 4.0 is not an easy task since it requires continuous innovation and learning dependent on people and enterprise’s capabilities. Employee Assistance Programs (EAP) strategy for appropriate worker screening approaches can play a vital role in the development of dynamics capabilities, and effective learning and innovation climate in organization. This paper aims to present worker screening approach using systematic psychometrics profiling and big data that promotes a climate of innovation and learning in organization, and hence facilitate businesses to match the pace of IR 4.0. The overview employs the application of Traits and Factor career interest concept and adapting various psychometrics profiling approaches in proposing an integrated personality framework as an initiative towards adequate systematic screening strategy for recruitment, placement, succession plan, and planning the organizations’ personnel development training for IR 4.0. Furthermore, this paper highlights crucial role of personality traits based screening strategy for the era of Industry 5.0 (IR 5.0).
Prof. Xiaobing Liu, Dalian University of Technology, China
Research Area: Production Operation Management, Maintenance, Repair & Operations
研究领域：生产运营管理，维护，维修和运营
Title：Maintenance Repair and Overhaul in Rail Transit: A Scientometric Review
标题：轨道交通维修和大修：科学计量评估
Abstract：
With the rapid development of rail transit, maintenance repair and overhaul (MRO) become an important service to improve customer satisfaction. The purpose of this paper is therefore to analyze the research published on ‘MRO in the rail transit’ over the past two decades. This is achieved to observe and understand the historical trends and to exhibit potential directions of further research. Thus, to trace the evolution of MRO in the rail transit industry, and the software CiteSpace is employed to analyze 2,842 publications extracted from the Web of Science Core Collection. The prime value and uniqueness of this paper lies in analyzing and compiling the existing published material by examining variables (such as yearly publications, regions/countries of each publication, etc.). This has been achieved by synthesizing existing publications using keywords as follows: "Railway", "Rail Transit", "Rail Traffic", "Rail Transportation", "High-speed Railway", "Metro", "Urban Rail Vehicle", "Subway", "Maintenance", "Repair", "Overhaul". The prime contributions of this research are identified by associating (a) authors with most publications and co-authorship network, (b) categories with most publications and with strongest citation bursts, (c) Keyword co-occurrence, and (d) Co-cited references network, basic and frontier references. These contributions offer insights into the trends of MRO in rail transit. The analysis presented in this paper has identified green, sustainable science and technology, as well as mathematics, interdisciplinary applications are some of the tendencies in the field of rail MRO. This research has implications for researchers, journal editors, practitioners, universities and research institutions. Moreover, it is likely to form the basis and motivation for review other database resources in this area.
Prof. Chuang-Chun Chiou, Tunghai University, Taiwan, China
Research Area: Lean manufacturing, data analytics, modeling and optimization in manufacturing, logistics and healthcare
研究领域：精益化生产，数据分析，制造业建模与优化，物流和医疗保健
Title：Implementation of Lean Manufacturing in Industry 4.0
标题：工业4.0中精益制造的实施
Abstract：
In the era of Industrial 4.0 (aka, I4.0), with the advanced concepts of cyber-physical systems (CPS), internet of things (IOT), data analytics, and artificial intelligence (AI), there are numerous opportunities to make manufacturing system getting smarter. In this talk, we first review the current development of I4.0 and the implementation of lean concept in manufacturing. After examining what have been achieved in the areas of I4.0 and lean implementation. Then, we re-examine the philosophy of lean and the fundamental value generated from lean management. Especially, the experience of Taiwanese manufacturer will be discussed. We further discuss more opportunities and address the challenges that the manufacturers may encounter in implementing lean manufacturing in the future.
