Inhalt

Abstract:

Enterprise Resource Planning Systems (ERP systems) are part of the basic equipment of medium-sized companies and global corporations. In the operational environment they are the central application systems for controlling operational processes. As the central control unit and memory of every company, ERP systems support the operational work processes and, among other things, take over the integration task across all departments, from sales and procurement to production and accounting.

The digital transformation is changing work processes and forms of organization (see VDI 2013), which means that companies need to change their competence profiles (Gerholz 2018). Studies indicate that the ability to solve problems in the environment of operational processes and the central application systems (ERP systems), the understanding of new technologies (including the use of IoT, cloud computing, and AI) and monitoring activities (e.g., analysis of the operational databases resulting from the processes; data analytics) are important (IW 2016).

This CLASSIC vhb course addresses these needs and introduces the central, operational application systems (ERP systems). After a theoretical introduction to the topic "ERP Systems" and "Business Processes", the learning environment offers participants the opportunity to deepen their knowledge of two ERP systems (Infor VISUAL ERP and Microsoft Dynamics NAV) and to consolidate the theoretical foundations through practical experience. In the subsequent case study "IoT", participants are given the opportunity to delve into current key topics in the field of business digitization processes. As an integrating data hub, ERP systems are the central starting point for implementing these digital trends.

Internet of Things (IoT) offers the technical basis in the production environment to connect machines and material digitally with the business application systems without media discontinuity. With the IoT infrastructure, planning-relevant machine data such as machine running times, downtimes, and rejects can be automatically reported directly from the shop floor up to the strategic planning systems (ERP system). The planning process is further optimized using current and accurate data points. In the case study, Microsoft Azure and a Raspberry simulator are used as basic components to penetrate the basic architecture of IoT solutions.

Gliederung:

• Introduction to the field of ERP systems - LEA's DREAM: From industrialization to digitalization
• ERP basic knowledge - THEORY
• ERP application - INFOR VISUAL ERP
• ERP application - MICROSOFT DYNAMICS NAV
• Case study: IOT
  
  

Detaillierter Inhalt:

Learning Objectives:

After successful completion of the module the learner should be able to ...

• identify structural characteristics and functionalities of ERP systems and compare individual ERP systems with each other based on these,
• recognize the integration effect of ERP systems and their architecture,
• assign digital task managers to operational tasks in a targeted manner,
• describe the potential of mobile ERP applications (Mobile ERP),
• describe and implement a basic architecture for the integration of sensor data into an ERP system in the context of the Internet of Things (IoT), and
• know and apply the possibility of data extraction and evaluation in the ERP environment as the basis of Business Intelligence (BI) software.

Exam:

Study work consisting of a practical elaboration in the ERP system including documentation (50 %) and case studies (50 %).

Access to the ERP system is provided via VPN software and login data. The participant must install the VPN software on a computer provided.

Further information on the exam can be found in the course environment.

External users (subject to payment):

External users (subject to payment) can only use the course with restrictions. Questions will be answered by the course supervisor (Johannes Beckert) and the course provider (Prof. Dr. Dobhan).

Schwierigkeitsgrad:

Einsteiger, Erfahrene

Lehr-/Lernform:

Virtuelle Vorlesung

Interaktionsformen mit dem System/Betreuer:

E-Mail, Video-/Webkonferenz, Kooperation Lerner/Betreuer bei der Aufgabenbearbeitung

Interaktionsformen mit Mitlernenden:

Forum, E-Mail, Gemeinsame Aufgabenbearbeitung, Video-/Webkonferenz

Kursdemo:

zur Kursdemo

Schlagworte:

ERP Systems, Industrie 4.0, Electronic Business, Information Technology, Business Processes

Nutzung

Zielgruppe:

Wirtschaftswissenschaften für Uni-Studierende, Wirtschaftswissenschaften für FH-Studierende, Wirtschaftsinformatik für FH-Studierende, Ing.-Wissenschaften für FH-Studierende, Wirtschaftsinformatik für Uni-Studierende, Ing.-Wissenschaften für Uni-Studierende

Nutzbar im Studiengang:

University of Applied Sciences Würzburg-Schweinfurt:

• Bachelor Wirtschaftsingenieurwesen
• Bachelor Business and Engineering

University of Bamberg:

• Bachelor BWL
  
  

Geeignet für Berufsfeld:

ERP users and administrators

Formale Zugangsvoraussetzungen:

Enrolling in the course via the CLASSIC vhb portal of the Virtuelle Hochschule Bayern (vhb)

Erforderliche Vorkenntnisse:

none

Erforderliche Vorkenntnisse bzgl. Handhabung der Lernplattform:

-

Verantwortlich

Trägerhochschule:

FH Würzburg-Schweinfurt

Anbieter:

Prof. Dr. Alexander Dobhan Johannes Beckert

Autoren:

Johannes Beckert, Alexander Dobhan, Karl-Heinz Gerholz

Betreuer:

Johannes Beckert

Prüfung

Course examination

Art der Prüfung:

Studienarbeit

Prüfer:

Prof. Dr.  Alexander Dobhan

Anmeldeverfahren:

Further information about the exam registration will be published inside the course.

Prüfungsanmeldefrist:

–

Prüfungsabmeldefrist:

–

Kapazität:

30

Prüfungsdatum:

–

Prüfungszeitraum:

–

Prüfungsdauer:

–

Prüfungsort:

–

Zustündiges Prüfungsamt:

Examination office of the students' home university

Zugelassene Hilfsmittel:

–

Formale Voraussetzungen für die Prüfungsteilnahme:

Enrolling in the course via the vhb and registration for the exam

Inhaltliche Voraussetzungen für die Prüfungsteilnahme:

Course content

Zertifikat:

Ja (Certificate (graded))

Anerkennung an folgenden Hochschulen:

Uni Bamberg, FH Würzburg-Schweinfurt

Sonstige Anerkennung:

noch nicht bekannt

Online-Prüfungsan-/-abmeldung:

Nein

Bemerkung:

Practical elaboration in the system (50 %) & case studies (50 %) (more information in the course)

Erforderliche Technik

Browser:

Common browser (e.g., Chrome, Edge, Firefox) in a current version

Nutzungsbedingungen

Gebühren:

Nein

Nutzungsentgelte:

für andere Personen als (reguläre) Studenten der vhb Trägerhochschulen nach Maßgabe der Benutzungs- und Entgeltordnung der vhb

Copyright:

-

Hinweise zur Nutzung:

Other/external users (subject to payment) can only use the course with restrictions. Questions will be answered by the course supervisor (Johannes Beckert) and the course provider (Prof. Dr. Dobhan).