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| Module code: DBBWL-330 |
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84CM (84 hours) |
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7 |
| Academic Year: 3 |
| Mandatory course: yes |
Language of instruction:
German |
Assessment:
Module exam (120 minutes); Note: Part of the exam is a 30-minute SAP test, which is taken on a computer.
[updated 24.09.2026]
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DBBWL-330 (P710-0029) Business Administration, Bachelor, regulation 01.10.2021
, study year 3, mandatory course
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The total student study time for this course is 210 hours.
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Recommended prerequisites (modules):
None.
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Recommended as prerequisite for:
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Module coordinator:
Prof. Dr. Thomas Kunz |
Lecturer:
Prof. Dr. Thomas Kunz
[updated 11.05.2026]
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Learning outcomes:
After successfully completing this module, students will be able to apply operations research optimization methods to plan production with a bottleneck, as well as to solve complex sequencing and assignment problems such as those encountered in the fields of production and transportation. They will also be able to solve these problems using Excel on a computer.
They will be familiar with the basic concepts and areas of application of Industry 4.0 and logistics 4.0. They will be well-versed in the fundamental aspects, ranging from business model transformation and its impact on production planning and control, through the human factor, to cost considerations. Students will be able to participate in an implementation process and critically evaluate the transition to Industry 4.0.
They will also become familiar with the potential applications of AI in manufacturing and logistics, such as predictive maintenance, the use of industrial robots, quality control, inventory optimization, the use of autonomous vehicles, and route planning.
Participants will understand the importance of quality in all operational processes, be familiar with the current standards, be proficient in the audit process (product, process and system audit) and know how a certification is carried out. They will learn both error-prevention methods (FMEA, QFD) and quality control methods (SPR/SPC). Students will also be able to apply selected methods, such as Six Sigma or the seven management tools and seven quality tools.
In the field of supply chain management, they will be able to plan at both the strategic and operational levels. They will be proficient in countermeasures to mitigate the bullwhip effect and, depending on the customer order decoupling point, various inventory strategies. Students will become familiar with the various areas of supply chain management, ranging from supply chain design to supply chain planning, supply chain execution, supply chain event management, and supply chain risk management, as well as the sustainability aspect of supply chain management.
In the context of production, quality, and logistics controlling, they will become familiar with the respective objectives and tasks, as well as selected tools such as production and idle cost analysis, variance analysis, quality cost analysis, and the calculation of quality- and performance-related key performance indicators; logistics cost and performance accounting; key performance indicator systems; and risk management aspects, among others.
They will become familiar with the key aspects of sustainability management in organizations and will be familiar with the essential tools of sustainability management.
Through training on an SAP system, students will learn how to use a modern APS system. By studying the relevant theory and completing practical exercises and case studies on the computer, they will gain an understanding of how business processes are modeled in an APS system. Using the Production Planning (PP) module, students will simulate a production process, and using the Warehouse Management (WM) module, they will deepen their knowledge of logistics. Through their knowledge of the Marketing and Sales (SD) module, students will learn how to manage the order processing workflow, particularly from a logistical perspective. Using materials management as an example, students will practice the procurement process and establish a connection to the course “Industrial Management II.” By working with a complex system such as SAP, students will enhance their understanding of the functional relationships taught in the various subjects and courses and demonstrate a solid grasp of the processes involved.
[updated 24.09.2026]
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Module content:
1 Linear programming - Production planning with a bottleneck
1.1 Introductory example
1.2 Definitions and theorems
1.3 Primal-Simplex algorithm
1.4 Dual-Simplex algorithm
1.5 Two-Phase Simplex algorithm
2 Industry 4.0 / Logistics 4.0
2.1 The evolution from Industry 1.0 to Industry 4.0
2.2 Basic concepts of Industry 4.0
2.3 Areas of focus for Industry 4.0
2.3.1 Business model innovation
2.3.2 Reference Architecture Model (RAMI (4.0))
2.3.3 The impact of digitalization on production planning and control
2.3.4 The human factor in Industry 4.0
2.3.5 Cost considerations in Industry 4.0
2.3.6 Industry 4.0 implementation process/transition to an Industry 4.0 company
2.4 Areas of focus for Industry 4.0
2.4.1 Definition of Logistics 4.0 (Digital Logistics)
2.4.2 Technological foundations
2.4.3 Examples of applications in logistics
2.5 Critical assessment
3 Artificial intelligence in manufacturing and logistics
3.1 Applications of artificial intelligence in manufacturing and logistics
3.1.1 Predictive maintenance
3.1.2 Industrial robots/robotics
3.1.3 Quality control
3.2 Applications of artificial intelligence in logistics
3.2.1 Warehouse and inventory optimization
3.2.2 Autonomous vehicles
3.2.3 Route planning
3.3 Developing an AI journey within your own company
4 Quality management
4.1 Basic terms
4.2 Quality management and standardization
4.3 Designing QM systems based on the ISO 9000 series
4.3.1 ISO 9000 and related standards
4.3.2 Contents of the international standard ISO 9001:215
4.4 Audit
4.4.1 Product audit
4.4.2 Process audit
4.4.3 System audit
4.4.4 Audit process
4.5 Certification of quality management systems
4.6 Selected quality management methods/tools
4.6.1 Failure Mode and Effects Analysis (FMEA)
4.6.2 Quality Function Deployment (QFD)
4.6.3 Management tools - M7
4.6.4 Quality tools - Q7
4.6.5 Six Sigma
5 Supply Chain Management
5.1 Planning and areas of application
5.1.1 Strategic planning level
5.1.2 Operational planning level
5.1.3 SCM applications
5.2 Planning principles
5.2.1 Cooperation agreements
5.2.2 Target values
5.3 Areas of responsibility in supply chain management
5.3.1 Supply Chain Design (SCD)
5.3.2 Supply Chain Planning (SCP)
5.3.3 Supply Chain Execution (SCE)
5.3.4 Supply Chain Event Management (SCEM)
5.3.5 Supply Chain Risk management (SCRM)
6 Production, quality and logistics controlling
6.1 Production controlling
6.1.1 Objectives and functions of production controlling
6.1.2 Production controlling tools
6.1.3 Production controlling using selected examples
6.2 Quality controlling
6.2.1 Objectives and functions of quality controlling
6.2.2 Quality-related costs
6.2.3 Quality controlling tools
6.2.4 Options for redesignating error costs
6.2.5 Analysis of quality-related costs
6.3 Logistics controlling
6.3.1 Objectives and functions of logistics controlling
6.3.2 Logistics cost and performance accounting
6.3.2.1 Structure of Logistics-KLAR
6.3.2.2 Activity Based Costing
6.3.3 Key performance indicators and KPI systems in logistics
6.3.4 Risk controlling in logistics
6.3.4.1 Basic terms
6.3.4.2 Risk management process structure
6.3.4.3 Risk areas and fields in logistics
7 Sustainability management in production and logistics
7.1 Basic terms
7.1.1 Product carbon footprint and corporate carbon footprint
7.1.2 Greenhouse gas protocol
7.1.3 Types of sustainable innovations
7.2 Sustainable production
7.2.1 The basics
7.2.2 Circular economy
7.3.3 Waste management
7.3 Sustainable logistics
7.3.1 The basics
7.3.2 Warehouse processes
7.3.3 Transport processes
7.3.4 Packaging processes
7.4 Standardized norms
7.4.1 Environmental management according to ISO 14001 and EMAS
7.4.2 Energy management according to ISO 50001
7.5 Tools
7.5.1 Life cycle assessment
7.5.2 Greenhouse gas footprint
7.5.3 Water footprint
8 Production and logistics processes with SAP
8.1 Organizational structures in SAP
8.2 Master data in SAP
8.3 Production and logistics processes, using the SAP modules SD, MM, PP, and WM as examples
9 Fundamentals of optimization for the design of logistics processes — transportation models
9.1 Definition of the transportation problem
9.2 Algorithms in the search phase
9.2.1 North-West Corner Rule
9.2.2 Matrix Minimum Method/Evaluation method
9.2.3 Vogel’s Approximation Method
9.3 Algorithms in the optimization phase
9.3.1 Stepping Stone Method
9.3.2 Modi Method/u-v Method
8.4 Ambiguity and model extensions
8.5 Solving transport problems with Excel Solver
[updated 24.09.2026]
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Teaching methods/Media:
Lecture with integrated exercises, case studies, and SAP training in the computer lab
[updated 24.09.2026]
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Recommended or required reading:
Bauernhansl, Thomas; ten Hompel, Michael; Vogel-Heuser, Birgit: Industrie 4.0 in Produktion, Automatisierung und Logistik: Anwendung • Technologien • Migration, Wiesbaden, Springer Vieweg.
DIN EN ISO 9000 ff., Normensammlung, Beuth-Verlag.
Geiger, Walter; Kotte, Willi: Handbuch Qualität, Grundlagen und Elemente des Qualitätsmanagements: Systeme – Perspektiven, Vieweg.
Glaser, Horst; Geiger, Werner; Rohde, Volker: PPS: Produktions-planung und - steuerung.
Grundlagen - Konzepte - Anwendungen, Wiesbaden, Gabler.
Gohout, Wolfgang: Operations Research, Oldenbourg Verlag München.
Günther, Hans-Otto; Tempelmeier, Horst: Produktion und Logistik, Berlin Heidelberg, Springer.
Kamiske, Gerd F.: Handbuch QM-Methoden, München, Hanser.
Liker, Jeffrey K.: Der Toyota Weg: Erfolgsfaktor Qualitätsmanagement: 14 Managementprinzipien des weltweit erfolgreichsten Automobilkonzerns, München, FinanzBuch Verlag.
Ohno, Taiichi: Das Toyota-Produktionssystem, Frankfurt, Campus.
Pfeifer, Tilo; Schmitt, Robert: Masing - Handbuch Qualitätsmanagement, München, Carl Hanser Verlag.
Reichmann, Thomas: Controlling mit Kennzahlen – Die systemgestützte Controlling-Konzeption mit Analyse- und Reportinginstrumenten, München, Vahlen.
Reinhart, Gunther (Hrsg.): Handbuch Industrie 4.0: Geschäftsmodelle, Prozesse, Technik, Carl Hanser Verlag
Richter, Christian H.: Nachhaltigkeitsmanagement, Herne, kiehl, 2024.
Schulte, Christof. Logistik: Wege zur Optimierung der Supply Chain, Vahlen.
Takeda, Hitoshi: Das synchrone Produktionssystem. Just-in-Time für das ganze Unternehmen, Landsberg am Lech, mi-Fachverlag.
[updated 24.09.2026]
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