Shun Yang

ORCID: 0000-0001-8308-2926
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About
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Research Areas
  • Flexible and Reconfigurable Manufacturing Systems
  • Manufacturing Process and Optimization
  • Digital Transformation in Industry
  • Collaboration in agile enterprises
  • Business Process Modeling and Analysis
  • Technology Assessment and Management
  • Plant and animal studies
  • Scheduling and Optimization Algorithms
  • Semiconductor materials and interfaces
  • Plant Reproductive Biology
  • Product Development and Customization
  • Industrial Vision Systems and Defect Detection
  • Silicon and Solar Cell Technologies
  • Higher Education and Employability
  • Economic and Technological Systems Analysis
  • Economic and Technological Innovation
  • Resource-Constrained Project Scheduling
  • Electric Vehicles and Infrastructure
  • Plant biochemistry and biosynthesis
  • Construction Project Management and Performance
  • Recycling and Waste Management Techniques
  • Environmental Impact and Sustainability
  • Advancements in Semiconductor Devices and Circuit Design
  • Advanced machining processes and optimization
  • Green IT and Sustainability

Karlsruhe Institute of Technology
2016-2024

University of Twente
2024

Northeast Forestry University
2024

Comisión Nacional de Energía Atómica
2009

Semiconductor Manufacturing International (China)
2005

Korea University
1996

The currently unfolding digital transformation has a monumental impact on the globalized world of 21st century. Especially for manufacturing companies, fourth industrial revolution provokes fundamental changes but also carries significant potentials. Consequently, businesses begin to exploit inherent benefits Industry 4.0 more and more. thereby induced developments advances are primarily technology-driven have substantial implications employees workers. As result, corporate ecosystem...

10.1016/j.procir.2022.02.160 article EN Procedia CIRP 2022-01-01

Production Management is an important issue for organizations that spend considerable amounts of investment annually on personnel training. Especially in the era Industry 4.0 and Intelligent Manufacturing, considering exponential growth new knowledge information, need to update supplement necessary knowledge. Nevertheless, there a lack adequate methodology executing trainings field production management. This paper aims develop method management training which combines online learning...

10.1016/j.promfg.2018.04.019 article EN Procedia Manufacturing 2018-01-01

For efficient, effective and economical production operation management in a manufacturing unit of an organization, it is essential to integrate the planning control system into enterprise resource planning. Today's systems suffer from low range data which results unrealistic delivery times. One root causes that influenced by uncertainties such as machine breakdowns, quality issues scheduling principle. Hence, necessary model simulate controls (PPC) with information dynamics order analyze...

10.1016/j.procir.2016.10.062 article EN Procedia CIRP 2016-01-01

Shorter product lifecycles lead not only to faster time-to-market for products but also the need just as fast available associated production systems. These shorter lifecycles, well increasing individualization of products, result in further decreasing lot sizes. Young companies China particular are characterized by a very high speed innovation may have necessary manufacturing knowledge or capacities bring their developed market with scalable production. For this reason, there is great...

10.1016/j.procir.2019.04.260 article EN Procedia CIRP 2019-01-01

In the realm of intelligent manufacturing, driven by push towards smart factories and Industry 4.0, optimizing technology selection sequencing is paramount for transformation. This complex decision-making process resembles a novel project scheduling problem, characterized multiplicative enhancement effects (MEEs) where collective benefits multiple projects can exceed their individual contributions. Additionally, uncertain duration further adds complexity. Motivated these practical...

10.1080/24725854.2024.2374090 article EN IISE Transactions 2024-07-02

Stigma development and successful pollination are essential for the continuous existence of flowering plants. However, specific mechanisms regulating these important processes not well understood. In this study, we investigated stigma in

10.48130/forres-0024-0011 article EN cc-by Forestry Research 2024-01-01

With respect to the increased demands on sustainability, Smart Automation is a promising solution realize an improvement of environmental impact production systems. However, majority companies are limited in their ability and resources simultaneously install several technologies. Consequently, selection prioritization technologies terms implementation strategies with particular focus major challenge for manufacturing companies. It therefore objective introduce framework decision support...

10.1016/j.procir.2024.01.117 article EN Procedia CIRP 2024-01-01

Enabled by the development of internet technologies, cyber-physical production systems (CPPS) are expected to open up entirely new possibilities improve efficiency existing assembly industrial companies. Nevertheless, realizing potential CPPS still remains a difficult task for small and medium-sized enterprises (SME), given high variety improvement offered enabling technologies limited resources their deployment. Hence, it is necessary develop an implementation strategy CPPS. Meanwhile,...

10.1016/j.procir.2018.01.027 article EN Procedia CIRP 2018-01-01

10.1016/j.sse.2009.04.030 article EN Solid-State Electronics 2009-05-18

Companies struggle to overcome the difficulties stemming from dynamic environment of global production due specific conditions in different regions. Particularly, insufficient know-how about a regionalized implementation strategy smart automation (SmAu) technologies is one significant difficulty for enterprises. Thus, developing key performance indicator (KPI) oriented, increasingly important. In this context, new approach exposed systematically investigate and identify interdependencies...

10.1016/j.procir.2019.01.039 article EN Procedia CIRP 2019-01-01

Quality problems of screwing processes in assembly systems, which are an important issue for operation excellence, needs to be quickly analyzed and solved. A network can very beneficial root cause analysis due different data from various factories. Nevertheless, it is difficult obtain reliable consistent data. In this context, paper aims develop a method data-driven oriented quality analytics considering global production network. Firstly, the overview structure introduced. Further,...

10.1016/j.promfg.2020.04.052 article EN Procedia Manufacturing 2020-01-01

Nowadays, self-checkouts are becoming increasingly popular in stores and markets. This is simply because they offer customers the convenience of shopping without having to wait line provide store owners with an opportunity increase sales improve customer experience. Meanwhile, sustainability options devices have gained more traction, such as reducing CO2 emissions product production. However, it initially unknown how investigate self-service due insufficient research this area. To address...

10.1016/j.procir.2024.02.028 article EN Procedia CIRP 2024-01-01

Flowering plants require normal pollen germination and growth to be fertilized, but studies on the mechanism regulating tube in Fraxinus mandshurica are limited. Here, we used transcriptomic data study oxidative phosphorylation pathway during mandshurica. Our identified 8,734 differentially expressed genes stages S1 S3 of growth. Significant enrichment pathway, amino acid synthesis, protein processing ER, carbon metabolism, pyruvate citrate cycle (TCA cycle), glycolysis/gluconeogenesis were...

10.3390/f15101735 article EN Forests 2024-09-30

In recent years, significant changes have been taking place in manufacturing industries. To cope with the and intense competitions, most industries made remarkable effort by implementing CIM systems, but they not successful such efforts, which can be summarized into three major reasons. The first reason is conceptual misunderstanding of its optimizations. second lies excluding human factors to build CIM. third division technologies organizations. This article represents a human-centered...

10.1002/(sici)1522-7111(199622)6:4<349::aid-hfm3>3.0.co;2-a article EN International Journal of Human Factors in Manufacturing 1996-01-01

A leading edge of CMOS technology and foundry manufacturing in mainland China is described the present paper. In development, effective yield learning methodology created to shorten cycle for mass production. It shown that innovative provides unique values customers. also demonstrated right cost structure based on both optimized process device design can insure control very effective. The discussion bringing up fab spec, issues, processing development such a highly complex entity has been included

10.1109/iedm.2004.1419257 article EN 2005-04-19

In recent years, significant changes have been taking place in manufacturing industries. To cope with the and intense competitions, most industries made remarkable effort by implementing CIM systems, but they not successful such efforts, which can be summarized into three major reasons. The first reason is conceptual misunderstanding of its optimizations. second lies excluding human factors to build CIM. third division technologies organizations. This article represents a human-centered...

10.1002/(sici)1522-7111(199622)6:4<349::aid-hfm3>3.3.co;2-y article EN International Journal of Human Factors in Manufacturing 1996-01-01
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