A Concept for Predictability and Adaptability in Maritime Container Supply Chains

Heuermann, Aaron; Duin, Heiko; Gorldt, Christian; Thoben, Klaus‐Dieter

doi:10.1007/978-3-319-74225-0_33

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…By adapting higher education institutions to a digital environment and introducing lecturers and learners within a new DT architecture, the problem of work engagement rose to a new level, since most human resources representatives were left behind. Workforce/student learning engagement is considered to be an aggregate of students’ learning experiences within the higher education institution they belong to [ 88 ]. Therefore, in the current study, when referring to students’ work engagement, the authors intend to assess the involvement (as engagement) of each student within their personal higher education academic trajectory; depending on the specifics of the academic field and teaching–learning requirements (as solely theoretical and/or mixed with practical study requirements—such as seminars and/or laboratory or practice stages), the levels of academic self-involvement widely vary.…”

Section: Forewordmentioning

confidence: 99%

The Role of Leadership and Digital Transformation in Higher Education Students’ Work Engagement

Niţă

Guțu

2023

IJERPH

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Teaching and learning processes should be subject to continuous change due to the constant evolution of social, educational and technological environments, which ultimately results in higher levels of student engagement. The current paper describes the technological changes faced by higher education institutions as a result of digital transformation challenges. Further, transformational and transactional leadership styles’ effectiveness is regarded within the context of higher education institutions’ digital enhancements. Over time, these factors have led to contextual shifts that have disengaged students from learning and thus self-development. The current research aimed to examine how higher education institutions should apply different leadership styles within digitally transformed contexts so as to increase students’ learning engagement and reduce the risk of failure in their future developments within (inter)national labor markets. Data gathering and analysis involved a qualitative approach: an online survey was distributed, resulting in 856 responses. Through structural equation modeling, the data revealed a valid higher education digital transformation assessment tool; the results also emphasize the increased role of transactional leadership, as opposed to the traditional transformational style, within a highly digitized higher education institutional framework. Consequently, the linear relationship of students’ work engagement with leadership proved to also be enhanced by quadratic effects. The current study stresses the importance of internal and external peers in higher education performance through high levels of student learning (work) engagement through leadership and a uniformly developed digitally transformed higher education environment.

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Section: Forewordmentioning

confidence: 99%

The Role of Leadership and Digital Transformation in Higher Education Students’ Work Engagement

Niţă

Guțu

2023

IJERPH

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“…Some researchers have studied the QC scheduling, and they mainly solve the container loading and unloading sequence of the QC [5,6] A large number of researchers have studied the YC scheduling. The non-interference constraint of double YCs and the consideration of multiple environmental variables are the research focus of these problems [7][8][9][10][11][12][13]. For AGV scheduling problem, most researchers focus on finding the optimal vehicle allocation and path planning [14,15].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraints ( 5) and ( 6) define the update of AGV queue's information at the yard entrance, which includes A and At. Constraints (7) define the queuing priority. The earlier the AGV and its corresponding YC arrive at the entrance and handover area, the higher priority the AGV has.…”

Section: (B) Dynamic Schedulingmentioning

confidence: 99%

Hybrid Scheduling for Multi-Equipment at U-Shape Trafficked Automated Terminal Based on Chaos Particle Swarm Optimization

Yang

et al. 2021

JMSE

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Aimed to improve the efficiency of port operations, Shanghai Zhenhua Heavy Industries Co., Ltd. (ZPMC) proposed a new U-shape trafficked automated terminal. The new U-shape trafficked automated terminal brings a new hybrid scheduling problem. A hybrid scheduling model for yard crane (YC), AGV and ET in the U-shape trafficked automated terminal yard is established to solve the problem. The AGV and ET yard lanes are assumed to be one-way lane. Take the YC, AGV and ET scheduling results (the container transportation sequences) as variables and the minimization of the maximum completion time as the objective function. A scheduling model architecture with hierarchical abstraction of scheduling objects is proposed to refine the problem. The total completion time is solved based on a static and dynamic mixed scheduling strategy. A chaotic particle swarm optimization algorithm with speed control (CCPSO) is proposed, which include a chaotic particle strategy, a particle iterative speed control strategy, and a particle mapping space for hybrid scheduling. The presented model and algorithm were applied to experiments with different numbers of containers and AGVs. The parameters of simulation part refer to Qinzhou Port. The simulation results show that CCPSO can obtain a near-optimal solution in a shorter time and find a better solution when the solution time is sufficient, comparing with the traditional particle swarm optimization algorithm, the adaptive particle swarm optimization algorithm and the random position particle swarm optimization algorithm.

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Digitalization of Maritime Logistics Systems

Lange

Grafelmann

2022

Contributions to Management Science

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A Concept for Predictability and Adaptability in Maritime Container Supply Chains

Cited by 5 publications

References 2 publications

The Role of Leadership and Digital Transformation in Higher Education Students’ Work Engagement

The Role of Leadership and Digital Transformation in Higher Education Students’ Work Engagement

Hybrid Scheduling for Multi-Equipment at U-Shape Trafficked Automated Terminal Based on Chaos Particle Swarm Optimization

Digitalization of Maritime Logistics Systems

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