Resource Management of Railway Transport Facilities

2022 ◽  
pp. 113-140
Author(s):  
Igor Borisovich Shubinsky ◽  
Alexei Mikhailovitch Zamyshlaev
Keyword(s):  
Resource Management ◽  
Railway Transport

Material resource management. Material and technical support (railway transport)

2021 ◽  
Author(s):  
Aleksandr Cevelev
Keyword(s):  
Resource Management ◽  
Inventory Management ◽  
Lean Manufacturing ◽  
Technical Support ◽  
Academic Disciplines ◽  
System Quality ◽  
Railway Transport ◽  
Material Resource ◽  
Supply Logistics ◽  
Production Inventory

The textbook presents the theoretical and practical issues of the methodology of material and technical support, as well as the developing provisions of the academic disciplines "Material Resource Management" and "Logistics of supply" of railway transport. Such issues as the concept of strategic management, breakthrough transformations in the supply system, quality management, lean manufacturing, process approach, logistics analysis and cybernetics of business technologies, development strategies, management innovations based on the ARIS modeling environment, production inventory management in railway transport, and many others are considered in detail. It is intended for students studying in the areas of "Management", "Economics", as well as for all those interested in the economics of railway transport and supply logistics. It will be useful for managers and specialists of JSC "Russian Railways".

Validating the Resource-Management Inventory (ReMI)

2020 ◽  
Vol 36 (5) ◽  
pp. 777-786 ◽  
Author(s):  
Julia Waldeyer ◽  
Jens Fleischer ◽  
Joachim Wirth ◽  
Detlev Leutner
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Resource Management ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Management Strategies ◽  
Group Analysis ◽  
Management Skills ◽  
First Year Students ◽  
Management Competency

Abstract. There is substantial evidence that students in higher education who have sophisticated resource-management skills are more successful in their studies. Nevertheless, research shows that students are often not adequately prepared to use resource-management strategies effectively. It is thus crucial to screen and identify students who are at risk of poor resource management (and consequently, reduced academic achievement) to provide them with appropriate support. For this purpose, we extend the validation of a situational-judgment-based instrument called Resource-Management Inventory (ReMI), which assesses resource-management competency (including knowledge of resource-management strategies and the self-reported ability to use this knowledge in learning situations). We evaluated the ReMI regarding factor structure, measurement invariance, and its impact on academic achievement in different study domains in a sample of German first-year students ( N = 380). The results confirm the five-factor structure that has been found in a previous study and indicate strong measurement invariance. Furthermore, taking cognitive covariates into account, the results confirm that the ReMI can predict students’ grades incrementally. Finally, a multi-group analysis shows that the findings can be generalized across different study domains. Overall, we provide evidence for a valid and efficient instrument for the assessment of resource-management competency in higher education.

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