Wyniki wyszukiwania - BazTech

1

Analytic Method for Decision Support of Blockchain Technology Supplier Selection in Industry 4.0 Era

Torbacki Witold

Multidisciplinary Aspects of Production Engineering

|

2020

|

Vol. 3, Iss. 1

296--307

EN

The article presents the issues covering the modern methods of securing data in both manufacturing processes and companies within the concept of Industry 4.0. In this approach, research problems arose how to implement the right method of secure data sending in sales, manufacturing and distribution processes. It is a very important issue for manufacturing companies as well as how the process of sending electronic data should be safely conducted. While current researches concentrated on the method of blockchain secured electronic documents, there is almost no research concentrating on blockchain integrator selection criteria. The main purpose of this paper is to provide a decision assistance model based on multiple criteria decision analysis technique. Also, mutual relationships between parameters for the assessment of integrators are established. In the article, a Multi-Criteria Decision Analysis (MCDA) was used to assess these characteristics. The Decision Making Trial and Evaluation Laboratory (DEMATEL) technique was chosen for this assessment.

2

Multi-criteria decision method for choosing ERP cloud systems in Industry 4.0 era

Torbacki Witold

Multidisciplinary Aspects of Production Engineering

|

2019

|

Vol. 2, Iss. 1

435--446

EN

The article presents the issues covering the modern ERP cloud systems for manufacturing companies within the currently developed concept Industry 4.0. In this approach, research problems arose as to which parameters and characteristics of ERP cloud systems are the most important from the point of view of manufacturing companies as well as how the process of choosing an ERP system should be conducted. In addition, mutual relationships between these parameters were established. In the article, a multi-criteria decision analysis (MCDA) was used to assess these characteristics. The Decision making trial and evaluation laboratory (DEMATEL) technique was chosen for this assessment. The article can be useful to people interested in modern IT solutions in the production industries.

3

Wykorzystanie systemów ERP w dydaktyce szkół wyższych w dobie koncepcji Przemysł 4.0 i Logistyka 4.0

Torbacki Witold

Autobusy : technika, eksploatacja, systemy transportowe

|

2019

|

R. 20, nr 1-2

502--507

PL

W artykule przedstawiono wyzwania stojące przed dydaktykami szkół wyższych wynikające z rozwoju nowych koncepcji Przemysł 4.0 i Logistyka 4.0. W takim kontekście pojawia się obecnie problem badawczy w jaki sposób prowadzić proces dydaktyczny, aby był powiązany z rzeczywistymi zagadnieniami występujących w codziennym życiu firm produkcyjnych i z branży TSL. Artykuł może być pomocą przy wyborze nowoczesnego systemu klasy ERP na potrzeby procesu dydaktycznego w szkole wyższej, który powinien obsługiwać ciąg procesów zintegrowanego łańcucha zamówień, produkcji i dystrybucji towarów w ramach koncepcji Przemysł 4.0 i Logistyka 4.0. Zaprezentowany w artykule proces wyboru powinien obejmować sformułowanie wymagań dotyczących wyboru przez uczelnię odpowiedniego systemu ERP, wybór systemu i parametryzację rozwiązania do specyfiki zajęć dydaktycznych wraz z opracowaniem planu zajęć laboratoryjnych.

EN

The article presents challenges faced by higher education didactics resulting from the development of new concepts, Industry 4.0 and Logistics 4.0. In this context, there is now a research problem in how to conduct the didactic process, to be related to the real issues of the production companies and the TSL industry that occur in the everyday life of a company. The article may be an aid in choosing a modern ERP class system for the needs of the didactic process in a higher education institution, which should support a sequence of integrated procurement processes, production and distribution of goods as part of the Industry 4.0 and Logistics 4.0 concept. The selection process presented in the article should include the formulation of requirements regarding the selection of the appropriate ERP system by the university, the choice of the system and the parameterization of the solution to the specifics of the didactic classes along with the development of the laboratory schedule.